Abstract
Background
The COVID-19 pandemic catalyzed an uptake in virtual care. However, the rapid shift left unanswered questions about the impact of virtual care on the quality of primary care and its appropriateness and effectiveness. Moving forward, health care providers require guidance on how best to use virtual care to support high-quality primary care.
Objective
This study aims to identify and summarize clinical studies and systematic reviews comparing virtual care and in-person care in primary care, with a focus on how virtual care can support key clinical functions such as triage, medical assessment and treatment, counseling, and rehabilitation in addition to the management of particular conditions.
Methods
We conducted a scoping review following an established framework. Comprehensive searches were performed across the following databases: Embase, MEDLINE, PsycInfo, Emcare, and Cochrane Database of Systematic Reviews. Other well-known websites were also searched. PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines were followed. Articles were selected by considering article type, language, care provided, intervention, mode of care delivery, and sample size.
Results
A total of 13,667 articles were screened, and 219 (1.6%) articles representing 170 studies were included in the review. Of the 170 studies included, 142 (83.5%) were primary studies, and 28 (16.5%) were systematic reviews. The studies were grouped by functions of primary care, including triage (16/170, 9.4%), medical assessment and treatment of particular conditions (63/170, 37.1%), rehabilitation (17/170, 10%), and counseling (74/170, 43.5%). The studies suggested that many primary care functions could appropriately be conducted virtually. Virtual rehabilitation was comparable to in-person care and virtual counseling was found to be equally effective as in-person counseling in several contexts. Some of the studies indicated that many general primary care issues could be resolved virtually without the need for any additional follow-up, but data on diagnostic accuracy were limited. Virtual triage is clinically appropriate and led to fewer in-person visits, but overall impact on efficiency was unclear. Many studies found that virtual care was more convenient for many patients and provided care equivalent to in-person care for a range of conditions. Studies comparing appropriate antibiotic prescription between virtual and in-person care found variable impact by clinical condition. Studies on virtual chronic disease management observed variability in impact on overall disease control and clinical outcomes.
Conclusions
Virtual care can be safe and appropriate for triage and seems equivalent to in-person care for counseling and some rehabilitation services; however, further studies are needed to determine specific contexts or medical conditions where virtual care is appropriate for diagnosis, management outcomes, and other functions of primary care. Virtual care needs to be adapted to fit a new set of patient and provider workflows to demonstrate positive impacts on experience, outcomes, and costs of care.
Keywords: primary care, telemedicine, telehealth, virtual care, virtual health, virtual medicine, remote consultation, telephone consultation, video consultations, medical informatics, digital health, digital technology, digital intervention, COVID-19, SARS-CoV-2, coronavirus infections, PRISMA
Introduction
Background
The COVID-19 pandemic led to a significant uptake of virtual care use, with increasing recognition that virtual care will continue to play a key role in Canada’s health care system [1]. Before the onset of the pandemic, 1.2% of all primary care visits in Canada occurred virtually [2]. By contrast, between January 2021 and March 2022, there was a significant uptake of virtual care use in primary care, with 38% of all family physician appointments in Canada being conducted virtually [3]. Similar trends are also observed globally. In the United States, the proportion of primary care physicians using virtual care increased from 5% before the pandemic to 46% during the pandemic [4,5]. In addition, economic evaluations of virtual care suggest that virtual care may be more cost-effective in some circumstances, reducing the cost per episode of care and the cost to attend the appointment (eg, travel and parking costs) compared to in-person care [6]. These cost savings and conveniences for patients contribute to their positive perceptions about using virtual care. By contrast, some studies have found that neither patients nor providers perceive the quality of virtual visits to be better than that of in-person visits [7-10]. In particular, the rapid shift in care delivery without care redesign has raised concerns about appropriateness, effectiveness, and equity [3]. Furthermore, as health systems return to prepandemic visit volumes, there are concerns that these new care modalities could increase workload, leading to increased burnout and eventually reduced staff resource capacity [11].
A broad range of stakeholders have suggested that patients should be the focal point of decision-making and that virtual care should be built into streamlined workflows that cover all aspects of primary care, with meaningful incentives to drive system impact [12]. However, there is little empirical evidence to support putting these principles into practice. Reviews to date looking at outcomes related to virtual primary care have shown mixed or uncertain outcomes, with minimal guidance to drive care decisions [13]. Nevertheless, strong continued interest from patients suggests that virtual care can provide benefits in supporting quality primary care [13]. Studies have suggested that high-quality, sustainable models for primary virtual care require mechanisms to support triage and shared decision-making on the use of different modalities in clinical practice [12,14]. Consensus guidelines have also suggested that the use of virtual care in primary care should be based on multiple factors, including clinical appropriateness, patient preferences, and equity [15,16]. Primary care involves many functions, such as triaging incoming requests, diagnosing acute conditions, managing chronic conditions, providing counseling, and supporting rehabilitation (among others). Despite the ongoing use of virtual care by many providers, questions remain about which primary care functions are best suited to this mode of care.
This paper is based on an evidence summary developed by the Program in Evidence-Based Care (PEBC) at McMaster University at the request of the Population Health and Value-Based Health Systems portfolio of Ontario Health (a government agency in Canada) as one of the inputs into a guidance document, “Clinically Appropriate Use of Virtual Care in Primary Care” [16]. This paper focuses on a subset of the results of this broader review to explore various primary care use cases for virtual care.
Objectives
The main objective of this review was to identify and summarize clinical studies of virtual care use in primary care. Of particular interest were studies indicating the circumstances when synchronous virtual care (primarily videoconference or telephone interactions) was likely to be equivalent, superior, or inferior to in-person care to inform decisions about appropriate modes of interaction with patients. Rather than make definitive statements on the benefits or harms of virtual care or the value of virtual-only primary care, we have organized the findings in ways that highlight potential benefits across a range of primary care functions to indicate which functions of primary care may be most suitable for virtual care. We have also suggested ways of conducting and reviewing future studies.
Methods
Literature Search and Screening
The literature search strategy and screening were performed according to systematic review methodology. The review protocol was developed by the coauthors and approved at the PEBC and by the sponsor (Population Health and Value-Based Health Systems, Ontario Health) before the commencement of the review; a post hoc decision was made to analyze and present the results as a scoping review rather than as a systematic review. A scoping review includes a predefined protocol and systematic approach to literature searches, but instead of focusing on the rigor of included studies, it reviews the literature to identify or map the state of knowledge and gaps and the research conducted, as well as identify further research needs [17-19]. This scoping review follows the guidelines formulated by Arksey and O’Malley [17] and aligns with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) statement [20]. The PRISMA checklist was also used to support reporting (refer to Multimedia Appendix 1) Research team members, using an inductive process, grouped the results into different categories, representing distinct use cases in primary care. While a formal assessment of the strength or quality of evidence was not conducted for each study—an aspect that differentiates a scoping review from a systematic review—characteristics such as study design (eg, randomized controlled trial [RCT] and prospective or retrospective comparative study), sample size, and type of comparison were extracted. In interpreting and discussing the results, we considered factors such as study size, trial design, consistency of results, and whether the studies addressed very narrow, specific issues or broader topics.
Definitions
The following subsections provide definitions and explanations of the key terms used throughout this paper.
Virtual Care
The term virtual care was defined as synchronous remote interaction between patients and clinicians to replace all or a portion of face-to-face (in-person) interactions. Care is considered synchronous when the patient and clinician are both present at the same time, and there is 2-way communication without delays in response (ie, in real time). It can include both video and telephone interactions. By contrast, asynchronous communication does not take place in real time. Asynchronous communication was included only if it was used as part of synchronous communication.
Primary Care
Primary care was defined as “the first point of contact between a patient and the health care system and includes illness prevention, health promotion, diagnosis, treatment, and rehabilitation and counseling” [21]. It included care by family or general practice physicians and nurse practitioners, general practice pediatricians and geriatricians, midwives, psychologists, psychotherapists, social workers, pharmacists, and physiotherapists. Care provided by dentists, psychiatrists, or medical specialists normally seen only by referral or in a hospital setting was excluded. The definition encompassed a variety of health care providers to reflect the broadest range of staff typically found in a multidisciplinary primary care team.
Triage
Triage refers to the initial decision process within primary care practice upon first patient contact, resulting in the allocation of patients to either in-person or virtual family practice appointments or, in some cases, to administrative assistance or other types of care. Articles categorized under triage included those that discuss signposting—a strategy designed to direct patients to the right provider at the right time and the right place at the first point of contact with primary care [22]. As the first point of contact for many patients, triage is often considered a core function of primary care.
Research Question
To explore the effectiveness of virtual care in primary care settings, this study addresses the following research question:
When using virtual modalities to seek or deliver primary care, are there differences in the outcomes of interest (either in general or for specific medical conditions or purposes of appointments) between
synchronous virtual care by telephone or video compared to exclusive in-person care;
synchronous virtual care by telephone or video plus asynchronous care (SMS text or secure messaging and email) compared to exclusive in-person care?
Outcomes of Interest
Outcomes of interest from a patient perspective included equity and accessibility (race, ethnicity, socioeconomic status, urban or rural or remote residence, age, gender, computer literacy, and mobility), availability of appointments (time, location, and wait time to get an appointment), and on-time appointments. Outcomes relevant to multiple stakeholders—patients, care providers, and health systems—included disease stability, improvement or deterioration, complications, or death; satisfactory resolution of the reason for visit; subsequent in-person visit to primary care practitioner because virtual care was not appropriate for assessment or treatment; referral to specialists, emergency department use, or hospital admissions; rates of blood tests, clinical laboratory tests, and diagnostic imaging; prescription of antibiotics or other medications; overall health of patients of primary practice team; and continuity of care.
Search Strategy
Embase, MEDLINE, PsycInfo, Emcare, and Cochrane Database of Systematic Reviews databases using the Ovid platform were searched from 2014 to November 24, 2021, using terms related to the concepts of virtual care and primary care (refer to Multimedia Appendix 2 [6,23-240] for the full search strategy). Due to time constraints for the project, a pragmatic decision was made to begin the database search in 2014. Therefore, publications before 2014 were not screened and only included in the literature review if cited elsewhere. Websites that the PEBC routinely consults to identify guidelines and reviews were also searched from 2015 to March 2022 (Multimedia Appendix 2); we did not search the websites of health care organizations devoted to primary care or specific diseases. Articles cited in other publications were included, regardless of publication year, if they met the other inclusion criteria.
Inclusion and Exclusion Criteria and Screening of Primary Studies
The inclusion and exclusion criteria are outlined in Textbox 1. Articles were screened based on these criteria, which included categories such as article type, language, care provided, intervention, mode of delivery, and sample size.
Inclusion and exclusion criteria.
Inclusion criteria
Study type: randomized controlled trial; other comparative studies (virtual vs in-person care)
Language: abstract or full text in English
Care provided: primary care study (refer to the definition of primary care in the Definitions subsection); care provided in a continuous primary care practice or a clinic that offered both walk-in and virtual care
Intervention: virtual care provided by the same clinician or primary care team responsible for in-person care
Mode of care delivery: synchronous virtual care (telephone or video), which replaced in-person care, including replacing of a subset of in-person appointments
Sample size: sample size ≥30 (this is often considered sufficient for the central limit theorem to hold true, enabling the detection of differences between 2 study groups) [241]
Exclusion criteria
Article type: trial registries or other study or review protocols without published results; editorials or commentaries; noncomparative surveys or questionnaires about patient or clinician experience; case studies; case series without a comparison group; conference abstracts
Language: not English
Care provided: study investigated the role of education, materials, lifestyle adaptation, exercise, diet, and so on, and the main study comparison was not virtual versus in-person delivery of these interventions; replacement of in-person care provided by 1 professional or treatment team or unit with virtual or in-person care provided by a different professional or team
Intervention: study related to virtual-only practices (eg, “walk-in” telephone clinics or hotlines); app or remote patient monitoring;
Mode of care delivery: SMS Text, email, or other asynchronous interventions, unless as a supplement to synchronous virtual care components
Sample size: sample size <30
A post hoc decision was made to include noncomparative studies that did not initially meet the inclusion criteria, but only if they were categorized as relating to triage. This adjustment was made because triage is a core component of first-contact care provided by primary care practitioners.
A review of the titles and abstracts of the primary literature, followed by data extraction for studies meeting the specified criteria, was conducted by GGF, a professional health research methodologist at the PEBC at McMaster University. The coauthors were consulted in cases of uncertainty. An independent audit of the extracted data was conducted by Jilian Sing (refer to the Acknowledgments section). Discrepancies were noted and addressed.
Systematic Reviews
Publications described as being systematic reviews or meta-analyses by their authors (primarily in the title or abstract) were included if they reported on primary studies meeting the inclusion criteria (Textbox 1). Reviews were also considered to be systematic reviews if the authors reported the databases searched, search strategy, and inclusion and exclusion criteria; the results section included a list of the reviewed studies along with extracted data; and the review was not otherwise classified by the authors. Systematic reviews on virtual care that passed initial screening but predominantly included studies not meeting the inclusion criteria were excluded; these reviews were used only to identify additional primary studies not found in the database search. Only reviews published in English were considered, with no restrictions placed on the publication date of individual studies.
Results
Overview
The database search identified 14,916 citations. In addition, 26 studies were identified through website searches, and 69 studies were found from the reference lists of other publications (Figure 1). The included studies were categorized into primary care functions, including triaging of incoming requests, diagnosis of a range of conditions through general primary care, rehabilitation, and counseling. A breakdown of the 170 included studies is presented in Table 1. Data for each study have been extracted and are reported in the tables in Multimedia Appendix 2. Primary studies on triage (24 publications representing 14 studies) are summarized in Table S1 in Multimedia Appendix 2 [23-46], and systematic reviews on triage are summarized in Table S2 in Multimedia Appendix 2 [47,48]. As the number of studies addressing specific types of virtual care was very limited, we decided not to subdivide results further by this category.
Figure 1.

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) diagram showing the number of studies identified, screened, assessed for eligibility, and included in the final analysis. *Studies were excluded for the following reasons: did not meet our definition of primary care or virtual care (3134/11,026, 28.42%); an additional intervention was being studied (2076/11,026, 18.83%); not full publications of completed studies (protocols, trial registrations, or conference abstracts; 2060/11,026, 18.68%); no comparison group for the outcomes of interest (1318/11,026, 11.95%); focused on the education of clinicians or interprofessional consultation (864/11,026, 7.84%); asynchronous interventions or not involving patient-clinician contact (821/11,026, 7.44%); case studies or <30 patients per group (362/11,026, 3.28%); letters, editorials, or commentary (195/11,026, 1.77%); virtual reality (142/11,026, 1.29%); and other (54/11,026, 0.49%).
Table 1.
Breakdown of included studies by primary care function.
| Reason for consultation | Studies, n (%) | |||
|
|
Primary studies (n=142) | Systematic reviews (n=28) | Total (n=170) | |
| Triage | 14 (9.9) | 2 (7.1) | 16 (9.4) | |
| Medical assessment and treatment | 54 (38) | 9 (32.1) | 63 (37.1) | |
|
|
General primary care | 19 (35.2) | 5 (55.6) | 24 (38.1) |
|
|
Primary care during COVID-19–related restrictions | 9 (16.7) | 0 (0) | 9 (14.3) |
|
|
Minor infections | 8 (14.8) | 2 (22.2) | 10 (15.9) |
|
|
COVID-19 management | 4 (7.4) | 0 (0) | 4 (6.3) |
|
|
Chronic disease management | 9 (16.7) | 2 (22.2) | 11 (17.5) |
|
|
Medical abortion | 5 (3.2) | 0 (0) | 5 (7.9) |
| Rehabilitation | 8 (5.6) | 9 (32.1) | 17 (10) | |
| Counseling | 66 (46.5) | 8 (28.6) | 74 (43.5) | |
For studies on virtual care other than counseling, there were 64 publications representing 62 primary studies and 19 publications representing 18 systematic reviews (Tables S3-S13 in Multimedia Appendix 2 [6,49-130]). These have been subdivided by the categories listed in Table 1 and consisted of 11 RCTs and 18 possibly prospective nonrandomized trials; the rest were retrospective studies that generally used chart review or registry data. Only a few of the studies used multivariate analysis to control for possibly confounding factors. Table S3 [49-68] and Table S4 [6,69-73] in Multimedia Appendix 2 summarize studies and systematic reviews, respectively, in general primary care. Table S5 in Multimedia Appendix 2 [74-82] summarizes studies conducted during COVID-19–related restrictions; Table S6 in Multimedia Appendix 2 [83-90] and Table S7 in Multimedia Appendix 2 [91,92] summarize studies and systematic reviews of minor infections, respectively; and Table S8 in Multimedia Appendix 2 [93-96] summarizes studies of COVID-19 diagnosis and management. Table S9 in Multimedia Appendix 2 [97-106] and Table S10 in Multimedia Appendix 2 [107,108] summarize studies and reviews of virtual care in chronic disease management, respectively, while Table S11 in Multimedia Appendix 2 [109-113] reports on the use of virtual care in medical abortion. Clinical studies and systematic reviews in rehabilitation are covered in Table S12 in Multimedia Appendix 1 [114-121] and Table S13 in Multimedia Appendix 2 [107,122-130], respectively.
Primary counseling studies (102 publications representing 66 studies) are summarized in Table S14 in Multimedia Appendix 2 [131-232], while systematic reviews on counseling (n=8) are reported in Table S15 in Multimedia Appendix 2 [233-240]. The number of studies on counseling was slightly more than the number of other studies combined. Most of the counseling studies (50/65, 77%) were RCTs, providing stronger and higher-quality evidence on this topic.
Triage
Overview
The 14 primary studies involving triage (Table S1 in Multimedia Appendix 2 [23-46]) used various designs and often did not allow a direct comparison of virtual versus in-person care. Of these 14 studies, 10 (71%) were conducted in the United Kingdom, while 1 (7%) study each was conducted in Canada, Israel, and the Netherlands, 2 studies were conducted in Denmark. The 2 systematic reviews—1 (50%) on telephone triage [47] and 1 (50%) on remote triage [48]—are summarized in Table S2 in Multimedia Appendix 1.
Telephone Triage
The most common practice involved telephone triage by a nurse or other office staff and the assignment of patients to telephone consultation if appropriate and if the patient did not object. Both patient and disease characteristics determined the modality of care. Of the 16 studies on triage, only 2 (13%) were of this design [42,44]; most reports of this type were excluded because there was generally no comparison group. A variation used by 3 (19%) of the 16 studies was a telephone-first approach, where a general practitioner (GP) spoke by telephone with all patients (except those with administrative queries) and either addressed the issue during the call or scheduled an in-person visit [24-29,39]. Of the 16 studies, 2 (13%) involved triage by GPs in Denmark [43,46]. Of these 2 studies, 1 (50%) found that approximately 40% of the calls resulted in face-to-face consultation [43], while 1 (50%) reported medication prescription rates [46]. In 2 (13%) of the 16 studies, patients accessed the medical office using a web-based form, and patients with nonadministrative concerns were allocated to a GP who decided on the mode of contact [30,31,45].
The only RCT was the ESTEEM trial, and 7 (44%) of the 16 publications on triage covered various aspects of this trial [32-38]. Conducted in England, this trial, which used a combination of the aforementioned approaches, may serve as the most significant source of insights into triage. Patients (n=15,394) requesting same-day appointments were randomized to triage by a nurse, triage by a GP, or usual care. Estimated overall contact durations (triage+subsequent contacts on the same day) were 10.3 minutes for GP triage, 14.8 minutes for nurse triage, and 9.6 minutes for usual care. The number of deaths, emergency hospital admissions, and accident and emergency department attendances were not different [36]. Triage by a nurse practitioner resulted in fewer in-person visits than triage by practice nurses (odds ratio 0.19, 95% CI 0.07-0.49); nurse practitioners were more likely to definitively manage patients within the triage consultation [33].
Signposting
Another study from the United Kingdom [41] used signposting in 2 practices to reduce GP telephone workload; only patients for whom a physician visit was judged essential were given a telephone appointment. The remaining callers were referred to allied health professionals, alternative services, nonmedical staff, or self-help [41]. Approximately 40% to 60% of telephone appointments were eliminated. The proportion of essential consultations taking place at the 2 practices increased from 28.6% and 27.3% at baseline to 82.6% and 71.4%, respectively.
Emergency Assessment
A total of 4 (25%) out of 16 studies on triaging explored the use of virtual care to assist in triaging and managing emergency calls within health systems. Of the 16 studies on triaging, 1 (6%) looked at adding GP support to emergency calls, either in person or by telephone [40]. The study found that 8.1% of all calls to emergency services could be triaged to ambulance personnel plus GP support. Of these patients, 78% were not transported to hospital, although a transfer was more often avoided if the patient was assessed in person by the GP. The remaining study, which was conducted in British Columbia reported experience using HealthLink BC Emergency iDoctor-in-assistance [23]. It looked at patients who called an 811 nurse care navigation service. Callers who were triaged to seek care within 24 hours were referred to a physician by videoconferencing. Of the callers directed to videoconferencing with HealthLink BC Emergency iDoctor-in-assistance physicians, 33.8% were advised to attempt home treatment, 38.3% to contact a primary care physician within 1 week, 15% to attend an emergency department immediately, and 7.1% to contact their primary health care provider right away.
Medical Assessment and Treatment
General Primary Care
A total of 24 (38%) of the 63 studies on medical assessment and treatment were on general primary care. These studies in general primary care are summarized in Table S3 in Multimedia Appendix 2 [49-68] and systematic reviews in Table S4 in Multimedia Appendix 2 [6,69-73]. Of the 19 primary studies classified as general primary care, 15 (79%) involved general practice contacts for all or several reasons [49-58,60-65], while 1 (5%) reviewed those with acute deterioration within 3 days of a primary care visit [59] and found a slightly higher rate of self-referral to emergency services after telephone consultations compared to in-person visits.
Of the 15 studies involving general practice contacts for all or several reasons, 1 (7%) focused on the 11 most common illnesses managed via telehealth: sinusitis, upper respiratory infection, urinary tract infection, conjunctivitis, bronchitis, pharyngitis, influenza, cough, dermatitis, digestive symptoms (nausea, vomiting, or diarrhea), and ear pain [65]. This large retrospective study used insurance company claims and focused on the treatment of acute non-urgent conditions. It found that follow-up rates for both virtual and in-person care were similar, suggesting comparable clinical resolution of these issues through virtual modalities, although antibiotic use was higher and laboratory testing lower for the virtual care group [65].
Of the 2 RCTs that looked at a broad range of virtual primary care issues, 1 (50%) crossover study involved evaluations of patients by 2 physicians [49,50]: patients were randomized to either 1 virtual and 1 in-person assessment the same day or 2 in-person assessments. Follow-up for chronic diseases such as hypertension, elevated cholesterol level, and diabetes and consultations for acute diseases such as upper respiratory illness or sinusitis and musculoskeletal complaints were the most common. The diagnostic agreements between the physicians were 84% between face-to-face and virtual visits and 80% between the 2 face-to-face visits. This study was among the few that directly compared the reliability of diagnosis for common conditions via in-person or virtual care.
The other RCT randomized patients to either a face-to-face appointment on that day or a callback that morning by a physician who either offered advice or arranged an in-person visit [51]. Telephone consultations were shorter (6.7 vs 8.2 min; P=.002) but resulted in slightly more follow-up consultations within 2 weeks (0.6 vs 0.4 consultations; P=.01), thus offsetting the time savings. Blood pressure was more frequently measured in person (13.3% vs 6.6%), but there were no significant differences in patient perceptions or other secondary outcomes.
Of the 24 studies on general primary care, 1 (4%) [67] compared video to telephone communication in emergency paramedicine response and found that video enhanced clinical evaluation 85% of the time; the odds ratio for emergency transport was 0.80 (95% CI 0.62-1.03).
Of the 9 systematic reviews on medical assessment and treatment, 5 (56%) were on virtual care in general without specifying any diseases or conditions [6,69-73]. The reviews by Totten et al [71-73] for the US Agency for Healthcare Research and Quality [71-73] concluded that telehealth consultations are effective in providing services or improving outcomes, although evidence is stronger for some applications. The reviews found evidence of effectiveness for counseling and the management of chronic conditions. However, overall impact, including cost-effectiveness, varied significantly based on how virtual care was integrated into the larger health service delivery ecosystem.
Primary Care During COVID-19–Related Restrictions
Of the 63 studies on medical assessment and treatment, 9 (14%) reported the use of virtual care due to COVID-19–related restrictions and are summarized in Table S5 in Multimedia Appendix 1 [74-82]. Of these 9 studies, 1 (11%) found that there was a rapid increase in the use of virtual care—from 31% in April 2019 to 90% in April 2020. Of the visits conducted virtually, 89% were by telephone and 1% by video [80]. Another study found that 71% of the video visits included visual observation–dependent findings that could not be assessed using a telephone; however, common barriers to using video visits were the lack of appropriate equipment and patient preferences [74]. Among the studies looking at primary care during the COVID-19 pandemic, there were variable results on the impact of age on the use of video visits: the study by Eberly et al [75] found that older individuals were less likely to use video visits, whereas Schenker et al [76] found that age was a significant positive predictor of having video visits.
Minor Infections
Of the 63 studies on medical assessment and treatment, 10 (16%) discussed antibiotic prescription (primary studies: n=8, 80%; Table S6 in Multimedia Appendix 1 [83-90]; systematic reviews: n=2, 20%; Table S7 in Multimedia Appendix 1 [91,92]). The 2 reviews did not have sufficient evidence to draw strong conclusions about the impact of virtual care on antibiotic prescribing but noted variable effects by condition, with higher rates for some conditions and lower rates for others. Of the 8 primary studies, 5 (62%) retrospective studies evaluated antibiotic prescribing for acute respiratory infections [83,85-88], while 1 (12%) evaluated antibiotic prescribing for urinary symptoms or infections [84]; in addition, 4 (50%) studies found similar or lower antibiotic prescribing rates with virtual compared to in-person care, while 1 (12%) reported higher antibiotic prescribing rates for telemedicine than in-person visits. This varied by condition within the same health care organization, with a chart review finding lower rates of antibiotic prescribing for sinusitis by SMS text and telephone than face-to-face visits and similar rates for urinary tract infections across all 3 modes [83,84]. By contrast, a review of claims data with matched populations showed higher rates of prescribing for acute respiratory infections for direct-to-consumer telemedicine versus urgent care or care provided by the patient’s usual primary care provider [86]. A similar pattern was found in a study comparing retail health clinics with urgent care and primary care providers [65].
Some of the other general studies [55,63,65] also noted antibiotic prescribing as one of the outcomes. 1 of the 10 studies on minor infections (10%) compared the outcomes of patient-selected modality with the same provider, finding higher rates of antibiotic prescribing for in-person visits (10.6% for video vs 9.7% for telephone vs 13.5% for in-person visits) [55]. Of the 10 studies, 2 (20%) evaluated and found higher antibiotic prescribing rates with telephone consultations for patients with conjunctivitis, a condition that usually requires visual assessment [89,90].
COVID-19 Management
Of the 4 studies that reported on the assessment of patients with symptoms consistent with COVID-19 infection (Table S8 in Multimedia Appendix 2 [93-96]), 3 (75%) compared remote assessment (by telephone, video, or unspecified) with in-person care. Some studies conducted during the COVID-19 pandemic used antibiotic prescribing as one of the outcomes. Of these 4 studies, 1 (25%) [94] found that in-person visits involved more testing for influenza and higher antibiotic prescribing rates.
Chronic Disease Management
Of the 63 studies focused on medical assessment and treatment, 11 (18%) focused on chronic disease management (primary studies: n=9, 82%; Table S9 in Multimedia Appendix 1 [97-106]; systematic reviews: n=2, 18%; Table S10 in Multimedia Appendix 1 [107,108]). Of the 9 primary studies, 3 (33%) RCTs were conducted in patients with asthma [97-99], and all found higher rates of follow-up appointments in the telephone groups; 2 (22%) retrospective studies found similar diabetes control using either telephone [100] or videoconferencing [101] compared to face-to-face or usual care; and, by contrast, 1 (11%) retrospective study examining the use of telehealth by community health care workers to support Hispanic patients with low-income status with uncontrolled diabetes (defined by glycated hemoglobin level ≥9%) reported that patients were much less likely to achieve glycemic control with telephone visits alone compared to either exclusively in-person visits or a mix of in-person and virtual visits [102]. However, 1 in-person visit plus ≥1 telephone visit was worse (longer time to diabetes control) than 1 in-person visit alone [102], suggesting that adjustment for the confounders was not adequate.
Medical Abortion
Of the 63 studies on medical assessment and treatment, 5 (8%) explored the use of virtual care in medical abortion assessment or follow-up (Table S11 in Multimedia Appendix 1 [109-113]). These studies found no difference in successful abortion rates or adverse events, reported similar satisfaction, and suggested that providing care by telephone improved access compared to in-person care.
Rehabilitation
Rehabilitation studies (17/63, 27%) included those focusing on physiotherapy and cardiac rehabilitation. Of the 17 studies, 8 (47%) were primary studies (Table S12 in Multimedia Appendix 2 [114-121]), and 9 (53%) were systematic reviews (Table S13 in Multimedia Appendix 2 [107,122-130]). Specifically, of the 8 primary studies, 2 (25%) involved cardiac rehabilitation. The noninferiority RCT compared remotely monitored telerehabilitation to center-based programs and found similar benefits remote noninferior in terms of improvement in maximal oxygen consumption and health state [114]. The quasi-experimental study compared home-based videoconference rehabilitation to in-hospital rehabilitation; there was similar improvement in the 6-minute walk test, and the authors concluded that video rehabilitation was feasible [115].
Of the 8 primary studies, 2 RCTs (25%) [116,117] and 1 (12%) retrospective study [118] found that telerehabilitation after total knee or total hip and knee arthroplasty was noninferior or comparable to traditional therapy. Studies on movement assessment in children [119] and physiotherapy assessment [121] found 92% and 83% agreement between video and in-person assessment, respectively; it is unclear whether this is sufficient. A study on physical activity coaching [120] found no significant differences between control (no intervention), in-person, and telephone intervention.
Counseling Studies
Of the 8 systematic reviews on counseling (Table S15 in Multimedia Appendix 2 [233-240]), 3 (37%) focused on psychotherapy [233,234,236]; 1 (12%) explored interventions targeting smoking, nutrition, alcohol consumption, physical activity, and obesity [235]; 1 (12%) each focused on depression [237], posttraumatic stress disorder [238], and suicide [239]; and 1 (12%) investigated traumatic stress during a pandemic [240]. Overall, these reviews concluded that virtual care is an established medium for delivering counseling, with evidence suggesting equivalence to in-person care in many areas of counseling.
Most of the counseling studies (50/74, 68%; Table S14 in Multimedia Appendix 2 [131-232]) were RCTs. Of the 50 RCTs, 19 (38%) were designed as noninferiority studies. Many studies compared counseling by either telephone or videoconferencing to the same counseling provided in person (face-to-face). Of the 74 counseling studies, 3 (4%) [177,191-193] used real-time SMS text or chat conversations (all other studies involving SMS text-based communication were asynchronous and had been excluded). Cognitive behavioral therapy (CBT) was used in 18 (24%) of the 74 studies for treating depression, anxiety, pain, insomnia, eating disorders such as bulimia nervosa, and obsessive-compulsive disorder. Components of CBT may be present in some other studies that were described as behavioral studies, although they were not explicitly labeled as CBT. The overall evidence indicates that outcomes for telephone and video CBT are similar or noninferior to those for face-to-face CBT, although some differences for specific populations were noted. Other commonly used counseling types were problem-solving therapy, behavioral activation therapy, behavioral treatment interventions, prolonged exposure therapy, and cognitive processing therapy, with the latter 2 names used especially for posttraumatic stress disorder. For lifestyle-type interventions for weight loss, smoking cessation, and alcohol use, the type of counseling was less likely to fit within the traditional psychotherapy categories. While evidence for CBT is the greatest, the overall evidence suggests a role for telephone or video counseling in many other areas.
Discussion
Principal Findings
This scoping review synthesized studies that compared in-person and virtual care in primary care, with a mix of studies conducted before and during the COVID-19 pandemic. The studies were categorized into primary care functions, including triaging of incoming patient requests, medical assessment and treatment (including general primary care, minor infections, COVID-19 management, chronic disease management, and medical abortion), rehabilitation, and counseling. The review showed strong evidence that virtual care is equivalent to in-person care for counseling and comparable for some types of rehabilitation. The results suggest that virtual triaging is clinically appropriate and may lead to fewer in-person visits, especially when conducted by a physician or a nurse practitioner. However, for other primary care functions, outcomes from the included studies varied. Several studies demonstrated that many general primary care issues could be resolved virtually without the need for in-person follow-up, but only a few looked at diagnostic accuracy. A study that focused on diagnostic agreement between modalities for common primary care conditions found strong alignment [49,50]. Studies on chronic disease management observed variability in their benefit in using virtual care. Studies comparing appropriate antibiotic prescription between virtual and in-person care found variable impact depending on the clinical condition, whether patients chose a modality or were randomized to one, and the clinical context. A few of the studies measured the impact on emergency department visits or hospitalizations and found no difference, but they did not adjust for the type or severity of the illness [53,55]. Overall, the variation in impact may be a result of the relative effectiveness of the modality for a given condition or use case, but in some of the studies the differences may be driven by how the modality is selected, the practice context, and health care provider incentives within a health care organization.
The evidence for the overall experience and value of virtual care is evolving, but our review suggests some advantages for patients and unclear impacts on provider workload and system costs. This aligns with previous reviews that have found uncertain outcomes for virtual primary care as a whole [6,13]. In our review, most patients reported a similar overall experience between virtual and in-person interactions; however, certain benefits of virtual care were noted, including in terms of cost, travel time, convenience, waiting time, and access to more specialized care [39,42,69,70]. Therapeutic alliance was similar between in-person and virtual counseling in the studies reviewed. This contrasts with an earlier systematic review of virtual care in cancer, where some clinicians reported that they found it more difficult to comfort patients during vulnerable times, found virtual care more stressful, and had concerns about therapeutic alliance [242].
The included studies did not assess the impact on continuity of care or health equity, both of which are key components of primary care and patient experience. Other studies that aim to explore continuity of care after a primary care visit only do so by examining primary care as a whole; for example, the study by Reed et al [243] found a slightly higher percentage of in-person return visits and emergency department visits after video or telephone visits compared to in-person primary care visits, but the authors did not examine the differences based on the type of primary care function. Given that continuity of care is a defining characteristic of primary care and has been shown to be instrumental in driving primary care’s positive impact on equity and quality of care, future studies should explore the impact of virtual care use on different primary care functions in the context of its impact on continuity of care [244,245]. In addition, the impact of virtual care on provider workload and system costs was less clear in our review. Telephone visits tended to be shorter than in-person interactions, but it was unclear how the addition of virtual care affected overall workloads. An initial telephone-based clinical triage by nonphysicians resulted in a higher proportion of visits being deemed essential by primary care physicians, suggesting that triage reduced low-value appointments with a physician [48]. Having said that, although the overall workload was not addressed, other studies in the literature highlight the value of virtual triage to physicians, notably that it can improve a clinician’s experience by streamlining patient-clinician communication and could help clinicians better manage their time by reducing their administrative workload [246].
To our knowledge, this is one of the first comprehensive reviews to examine the appropriateness of virtual care in terms of key functions of primary care. Studies examining virtual care use in primary care tend to examine primary care as a whole; for example, the study by Reed et al [243] found that 50% of primary care visits used telemedicine (19% by video and 31% by telephone); however, the impact on these numbers based on primary care function was not studied. Similarly, previous reviews have also focused on examining virtual care use more broadly through categories such as cost and health care use. However, given the shift in practice since the COVID-19 pandemic, it is now more important to understand how and when in the clinical process virtual care should be used [6,13]. In addition, these reviews only included publications from 2020 onward and did not include RCTs, which are a focus of our review. Our review shows that there is significant variability in evidence across different clinical use cases in primary care, making it difficult to provide broad conclusions about the appropriateness of virtual primary care for specific conditions. Instead, our work provides evidence that the impact and outcomes of virtual modalities in primary care should be examined according to the various interaction points along a patient’s journey; for example, there is strong evidence for equivalence between in-person and virtual care for counseling, and thus counseling could be more readily integrated into sustainable, high-quality primary care workflows. By contrast, the use of virtual care for situations that are likely to result in antibiotic prescribing requires further study to understand whether it is indeed equivalent to in-person care. Our review suggests that virtual triage can play a role in supporting primary care workflows, but more research is required to determine the best implementation model. A rapid review by Barnabe et al [247] highlighted some implications for health care organizations to consider before implementing virtual triage. These include ensuring that the platforms are locally based; that they are flexible, responsive, and tailored to regional circumstances; and that implementation is carried out, keeping partnerships and collaborations in mind [247]. These results contrast with those of other reviews on the use of virtual modalities in primary care, which analyzed clinical appropriateness and outcomes across all use cases and were generally unable to make strong recommendations to guide clinical care [15]. Several authors have suggested that a more nuanced approach, one that looks at different uses of primary care, might ultimately provide more insight into driving decisions around patient care and system planning [6,248,249].
Virtual care during the COVID-19 pandemic has expanded to cover a wide range of conditions, and our review suggests that there is still limited evidence to broadly define the optimal mode of interaction (in-person, video, telephone, or asynchronous contact); however, the evidence does provide some guidance. Our review suggests that virtual care is likely at least as good as in-person care for a wide range of primary care issues and should be offered as part of routine practice. Overall, for any given visit, the choice of modality remains a question of clinical judgment and shared decision-making between a patient and their care team. Patient factors, including access to technology, comfort with virtual visits, and maintaining a strong therapeutic relationship, must be considered when deciding the best modality for a given interaction [250]. Virtual care should be embedded in larger service models that allow for easy escalation to in-person follow-up when required. Enabling virtual triage can provide clinics with certain advantages, including improving overall access, better prioritization for the most appropriate modality, and determining whether any information should be provided in advance of the visit. Furthermore, providing counseling, self-management support, education, and ongoing monitoring virtually also offers advantages over regular in-person appointments, including improved convenience and similar outcomes for many patient populations. Virtual care could also be offered to support chronic disease management but may not work well for all patients. Options such as providing smartphones, tablet devices, or computers and limited telephone or internet service were used in some of the studies for individuals with limited technology accessibility [139,152-154,167,195]. However, health organizations and systems would benefit from continued investment in understanding how to better integrate and optimize virtual care to achieve the quintuple aim of improving patient experience, improving population health, improving clinician well-being, reducing health care costs, and advancing health equity [251], using human-centered methods such as co-design, service design, and participatory research or other frameworks [252]. Now that the practice of virtual care is so widespread, ongoing research can help in understanding how it can be leveraged to improve access and quality of care [248].
Limitations
This review has several limitations. First, it was restricted to studies comparing virtual care to in-person care instead of care (regardless of delivery method) to an objective standard. Therefore, it is applicable only to clinical areas in which there is established in-person care for evaluation and treatment. While many of the included studies were designed to measure the noninferiority of virtual care to in-person care, in-person treatment should not necessarily be the gold standard, especially for counseling studies where effectiveness is often based on a validated tool to measure disease, symptom intensity, or patient-reported outcomes. Second, this is a scoping review rather than a systematic review; therefore, we did not evaluate the methodological quality of the studies or determine which studies might provide more reliable results. In addition, we did not include gray literature in our search to ensure the reliability of the evidence underpinning the recommendations provided in the paper. Having said that, although we supplemented our search using trusted websites, it is possible that the exclusion of gray literature resulted in underrepresented perspectives from policy makers and community organizations that are not captured in academic publications. This could mean that insights from the practical applications of real-world data could have been missed. Furthermore, articles were only screened by a single reviewer, which could have introduced bias in the results if personal biases impacted the interpretation of the literature. Although these limitations were mitigated through an audit conducted by another member of the team, the likelihood of errors is increased when only 1 reviewer is involved. Third, the study contexts varied substantially. Most were cross-sectional studies focused on the initial consultation or ongoing chronic disease management and did not assess the impact on continuity of care, a key component of primary care. Finally, given the time frame for the database search, it is possible that new literature has become available that contributes additional evidence to this topic. Nonetheless, the study demonstrates a novel approach to organizing the literature on virtual care, moving from the question of whether virtual care is as effective as in-person care for a given health problem to thinking about how virtual care supports the core functions of primary care. It argues for a different way of conducting studies in the future and provides a framework for organizing this research. Much of the included literature covers the period during the COVID-19 pandemic, when most ambulatory care was virtual in many jurisdictions. This context is not as broadly applicable to the current state of care. However, we believe that our findings still provide valuable insights into how virtual care can be leveraged in primary care and can suggest appropriate ways of structuring future studies to better understand when and how voice, video, and SMS text-based interactions are best used in clinical care.
Conclusions
This scoping review found no consistent differences in the appropriateness of care or patient outcomes between virtual and in-person care across the included studies. Virtual care is perceived as equivalent to in-person care for many common uses, despite some variation by condition. The overall impact of virtual care will likely depend on whether it is used for triage, diagnosis, treatment, or counseling and whether patients or providers determine the choice of modality. Moreover, we found that the overall value of virtual care for the health system, including potential cost savings, remains unclear. Our findings highlight that although the rates of virtual care use may decrease as concerns about COVID-19 infection lessen, for functions such as triage, counseling, and rehabilitation, virtual care may remain the norm. Further studies, incorporating options for patient and provider choice, are needed to determine the optimal use of virtual care from a resource and outcome perspective. This comprehensive review is one of the first that aims to understand how virtual care can be leveraged in the various components of routine primary care functions. Given the recent changes in practice, this evidence base will continue to grow, and timely reviews will be needed to keep up with the literature. These modalities are no longer just a temporary measure to get through the pandemic and now need to be adapted to fit a new set of patient and provider workflows to demonstrate positive impacts on experience, outcomes, and costs of care. Future reviews should focus on when to use virtual modes of communication in a patient’s primary care journey.
Acknowledgments
The authors would like to thank Population Health and Value-Based Health Systems, Ontario Health, for funding this study. The funder played no part in the collection, analysis, or interpretation of the data; the writing of the report; or the decision to submit the paper for publication. The authors also thank Jilian Sing for screening and summarizing reviews and for supporting the data audit.
Abbreviations
- CBT
cognitive behavioral therapy
- GP
general practitioner
- PEBC
Program in Evidence-Based Care
- PRISMA-ScR
Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews
- RCT
randomized controlled trial
PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist.
Search strategy and data extraction tables.
Data Availability
Data sharing is not applicable to this paper as no datasets were generated or analyzed during this study.
Footnotes
Conflicts of Interest: None declared.
References
- 1.Bhatia RS, Chu C, Pang A, Tadrous M, Stamenova V, Cram P. Virtual care use before and during the COVID-19 pandemic: a repeated cross-sectional study. CMAJ Open. 2021 Feb 17;9(1):E107–14. doi: 10.9778/cmajo.20200311. http://cmajopen.ca/cgi/pmidlookup?view=long&pmid=33597307 .9/1/E107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Glazier RH, Green ME, Wu FC, Frymire E, Kopp A, Kiran T. Shifts in office and virtual primary care during the early COVID-19 pandemic in Ontario, Canada. CMAJ. 2021 Feb 08;193(6):E200–10. doi: 10.1503/cmaj.202303. http://www.cmaj.ca/cgi/pmidlookup?view=long&pmid=33558406 .193/6/E200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Canadian Institute for Health Information . The expansion of virtual care in canada: New data and information. Ottawa, ON: CIHI; 2023. [Google Scholar]
- 4.Callaghan T, McCord C, Washburn D, Goidel K, Schmit C, Nuzhath T, Spiegelman A, Scobee J. The changing nature of telehealth use by primary care physicians in the United States. J Prim Care Community Health. 2022 Jul 06;13:21501319221110418. doi: 10.1177/21501319221110418. https://journals.sagepub.com/doi/abs/10.1177/21501319221110418?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Shaver J. The state of telehealth before and after the COVID-19 pandemic. Prim Care. 2022 Dec;49(4):517–30. doi: 10.1016/j.pop.2022.04.002. https://europepmc.org/abstract/MED/36357058 .S0095-4543(22)00023-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hui D, Dolcine B, Loshak H. Approaches to evaluations of virtual care in primary care. Can J Health Technol. 2022 Jan;2(1) doi: 10.51731/cjht.2022.238. [DOI] [PubMed] [Google Scholar]
- 7.Thiyagarajan A, Grant C, Griffiths F, Atherton H. Exploring patients' and clinicians' experiences of video consultations in primary care: a systematic scoping review. BJGP Open. 2020 Mar 17;4(1):bjgpopen20X101020. doi: 10.3399/bjgpopen20x101020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Chan S, O'Riordan A, Appireddy R. Exploring the determinants and experiences of senior stroke patients with virtual care. Can J Neurol Sci. 2021 Jan 27;48(1):87–93. doi: 10.1017/cjn.2020.162.S0317167120001626 [DOI] [PubMed] [Google Scholar]
- 9.Appireddy R, Khan S, Leaver C, Martin C, Jin A, Durafourt BA, Archer SL. Home virtual visits for outpatient follow-up stroke care: cross-sectional study. J Med Internet Res. 2019 Oct 07;21(10):e13734. doi: 10.2196/13734. https://www.jmir.org/2019/10/e13734/ v21i10e13734 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Donelan K, Barreto EA, Sossong S, Michael C, Estrada JJ, Cohen AB, Wozniak J, Schwamm LH. Patient and clinician experiences with telehealth for patient follow-up care. Am J Manag Care. 2019 Jan;25(1):40–4. https://www.ajmc.com/pubMed.php?pii=87868 .87868 [PubMed] [Google Scholar]
- 11.Shachak A, Alkureishi MA. Virtual care: a 'Zoombie' apocalypse? J Am Med Inform Assoc. 2020 Nov 01;27(11):1813–5. doi: 10.1093/jamia/ocaa185. https://europepmc.org/abstract/MED/32940711 .5907054 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Shaw J, Jamieson T, Agarwal P, Griffin B, Wong I, Bhatia RS. Virtual care policy recommendations for patient-centred primary care: findings of a consensus policy dialogue using a nominal group technique. J Telemed Telecare. 2018 Oct;24(9):608–15. doi: 10.1177/1357633X17730444. [DOI] [PubMed] [Google Scholar]
- 13.Lachance CC, Severn M, Kim J. Evidence base for virtual primary care. Can J Health Technol. 2023 May 30;3(5) doi: 10.51731/cjht.2023.661. https://canjhealthtechnol.ca/index.php/cjht/article/view/HC0062 . [DOI] [PubMed] [Google Scholar]
- 14.Girdhari R, Krueger P, Wang R, Meaney C, Domb S, Larsen D, Kiran T. Electronic communication between family physicians and patients: findings from a multisite survey of academic family physicians in Ontario. Can Fam Physician. 2021 Jan 22;67(1):39–46. doi: 10.46747/cfp.670139. http://www.cfp.ca/cgi/pmidlookup?view=long&pmid=33483396 .67/1/39 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Nayakarathna R, Neilson H, MacDougall D, Cowling T. Virtual care use in primary care or specialty care settings. Can J Health Technol. 2022 Aug 18;2(8) doi: 10.51731/cjht.2022.421. [DOI] [PubMed] [Google Scholar]
- 16.Clinically appropriate use of virtual care in primary care : guidance reference document. Ontario Health. 2022. Nov 1, [2023-11-02]. https://www.ontariohealth.ca/sites/ontariohealth/files/2022-11/ClinicallyAppropriateUseVirtualCarePrimaryCare.pdf .
- 17.Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005 Feb;8(1):19–32. doi: 10.1080/1364557032000119616. [DOI] [Google Scholar]
- 18.Levac D, Colquhoun H, O'Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010 Sep 20;5:69. doi: 10.1186/1748-5908-5-69. https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-5-69 .1748-5908-5-69 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Peters MD, Godfrey CM, Khalil H, McInerney P, Parker D, Soares CB. Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc. 2015 Sep;13(3):141–6. doi: 10.1097/XEB.0000000000000050. [DOI] [PubMed] [Google Scholar]
- 20.Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, Moher D, Peters MD, Horsley T, Weeks L, Hempel S, Akl EA, Chang C, McGowan J, Stewart L, Hartling L, Aldcroft A, Wilson MG, Garritty C, Lewin S, Godfrey CM, Macdonald MT, Langlois EV, Soares-Weiser K, Moriarty J, Clifford T, Tunçalp Ö, Straus SE. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018 Oct 02;169(7):467–73. doi: 10.7326/M18-0850. https://www.acpjournals.org/doi/abs/10.7326/M18-0850?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed .2700389 [DOI] [PubMed] [Google Scholar]
- 21.Primary care payment models in Ontario. Ontario Ministry of Health. [2024-11-01]. https://www.ontario.ca/page/primary-care-payment-models-ontario .
- 22.Brunton L, Tazzyman A, Ferguson J, Hodgson D, Nelson PA. The challenges of integrating signposting into general practice: qualitative stakeholder perspectives on care navigation and social prescribing in primary care. BMC Prim Care. 2022 Apr 01;23(1):66. doi: 10.1186/s12875-022-01669-z. https://europepmc.org/abstract/MED/35365072 .10.1186/s12875-022-01669-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ho K, Lauscher HN, Stewart K, Abu-Laban RB, Scheuermeyer F, Grafstein E, Christenson J, Sundhu S. Integration of virtual physician visits into a provincial 8-1-1 health information telephone service during the COVID-19 pandemic: a descriptive study of HealthLink BC Emergency iDoctor-in-assistance (HEiDi) CMAJ Open. 2021 Jun 15;9(2):E635–41. doi: 10.9778/cmajo.20200265. http://cmajopen.ca/cgi/pmidlookup?view=long&pmid=34131026 .9/2/E635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Newbould J, Exley J, Ball S, Corbett J, Pitchforth E, Roland M. GPs’ and practice staff’s views of a telephone first approach to demand management: a qualitative study in primary care. Br J Gen Pract. 2019 Apr 23;69(682):e321–8. doi: 10.3399/bjgp19x702401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Newbould J, Ball S, Abel G, Barclay M, Brown T, Corbett J, Doble B, Elliott M, Exley J, Knack A, Martin A, Pitchforth E, Saunders C, Wilson EC, Winpenny E, Yang M, Roland M. A ‘telephone first’ approach to demand management in English general practice: a multimethod evaluation. Health Serv Deliv Res. 2019 May;7(17):1–158. doi: 10.3310/hsdr07170. [DOI] [Google Scholar]
- 26.Ball SL, Newbould J, Corbett J, Exley J, Pitchforth E, Roland M. Qualitative study of patient views on a 'telephone-first' approach in general practice in England: speaking to the GP by telephone before making face-to-face appointments. BMJ Open. 2018 Dec 31;8(12):e026197. doi: 10.1136/bmjopen-2018-026197. https://bmjopen.bmj.com/lookup/pmidlookup?view=long&pmid=30598491 .bmjopen-2018-026197 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Newbould J, Abel G, Ball S, Corbett J, Elliott M, Exley J, Martin A, Saunders C, Wilson E, Winpenny E, Yang M, Roland M. Evaluation of telephone first approach to demand management in English general practice: observational study. BMJ. 2017 Sep 27;358:j4197. doi: 10.1136/bmj.j4197. https://www.bmj.com/lookup/pmidlookup?view=long&pmid=28954741 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Miller D, Loftus AM, O'Boyle PJ, McCloskey M, O'Kelly J, Mace D, McKeon N, Ewan SL, Moore L, Abbott A, Cunning S, McCarron MO, Paget AM. Impact of a telephone-first consultation system in general practice. Postgrad Med J. 2019 Nov;95(1129):590–5. doi: 10.1136/postgradmedj-2019-136557.postgradmedj-2019-136557 [DOI] [PubMed] [Google Scholar]
- 29.Jiwa M, Mathers N, Campbell M. The effect of GP telephone triage on numbers seeking same-day appointments. Br J Gen Pract. 2002 May;52(478):390–1. https://bjgp.org/lookup/pmidlookup?view=long&pmid=12014537 . [PMC free article] [PubMed] [Google Scholar]
- 30.Edwards HB, Marques E, Hollingworth W, Horwood J, Farr M, Bernard E, Salisbury C, Northstone K. Use of a primary care online consultation system, by whom, when and why: evaluation of a pilot observational study in 36 general practices in South West England. BMJ Open. 2017 Nov 22;7(11):e016901. doi: 10.1136/bmjopen-2017-016901. https://bmjopen.bmj.com/lookup/pmidlookup?view=long&pmid=29167106 .bmjopen-2017-016901 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Farr M, Banks J, Edwards HB, Northstone K, Bernard E, Salisbury C, Horwood J. Implementing online consultations in primary care: a mixed-method evaluation extending normalisation process theory through service co-production. BMJ Open. 2018 Mar 19;8(3):e019966. doi: 10.1136/bmjopen-2017-019966. https://bmjopen.bmj.com/lookup/pmidlookup?view=long&pmid=29555817 .bmjopen-2017-019966 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Holt TA, Fletcher E, Warren F, Richards S, Salisbury C, Calitri R, Green C, Taylor R, Richards DA, Varley A, Campbell J. Telephone triage systems in UK general practice: analysis of consultation duration during the index day in a pragmatic randomised controlled trial. Br J Gen Pract. 2016 Feb 25;66(644):e214–8. doi: 10.3399/bjgp16x684001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Varley A, Warren FC, Richards SH, Calitri R, Chaplin K, Fletcher E, Holt TA, Lattimer V, Murdoch J, Richards DA, Campbell J. The effect of nurses' preparedness and nurse practitioner status on triage call management in primary care: a secondary analysis of cross-sectional data from the ESTEEM trial. Int J Nurs Stud. 2016 Jun;58:12–20. doi: 10.1016/j.ijnurstu.2016.02.001. https://linkinghub.elsevier.com/retrieve/pii/S0020-7489(16)00064-X .S0020-7489(16)00064-X [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Warren FC, Calitri R, Fletcher E, Varley A, Holt TA, Lattimer V, Richards D, Richards S, Salisbury C, Taylor RS, Campbell JL. Exploring demographic and lifestyle associations with patient experience following telephone triage by a primary care doctor or nurse: secondary analyses from a cluster randomised controlled trial. BMJ Qual Saf. 2015 Sep 18;24(9):572–82. doi: 10.1136/bmjqs-2015-003937. http://qualitysafety.bmj.com/lookup/pmidlookup?view=long&pmid=25986572 .bmjqs-2015-003937 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Calitri R, Warren FC, Wheeler B, Chaplin K, Fletcher E, Murdoch J, Richards S, Taylor RS, Varley A, Campbell J. Distance from practice moderates the relationship between patient management involving nurse telephone triage consulting and patient satisfaction with care. Health Place. 2015 Jul;34:92–6. doi: 10.1016/j.healthplace.2015.04.002. https://linkinghub.elsevier.com/retrieve/pii/S1353-8292(15)00061-1 .S1353-8292(15)00061-1 [DOI] [PubMed] [Google Scholar]
- 36.Campbell JL, Fletcher E, Britten N, Green C, Holt T, Lattimer V, Richards DA, Richards SH, Salisbury C, Taylor RS, Calitri R, Bowyer V, Chaplin K, Kandiyali R, Murdoch J, Price L, Roscoe J, Varley A, Warren FC. The clinical effectiveness and cost-effectiveness of telephone triage for managing same-day consultation requests in general practice: a cluster randomised controlled trial comparing general practitioner-led and nurse-led management systems with usual care (the ESTEEM trial) Health Technol Assess. 2015 Feb;19(13):1–212, vii. doi: 10.3310/hta19130. https://doi.org/10.3310/hta19130 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Campbell JL, Fletcher E, Britten N, Green C, Holt TA, Lattimer V, Richards DA, Richards SH, Salisbury C, Calitri R, Bowyer V, Chaplin K, Kandiyali R, Murdoch J, Roscoe J, Varley A, Warren FC, Taylor RS. Telephone triage for management of same-day consultation requests in general practice (the ESTEEM trial): a cluster-randomised controlled trial and cost-consequence analysis. The Lancet. 2014 Nov;384(9957):1859–68. doi: 10.1016/s0140-6736(14)61058-8. [DOI] [PubMed] [Google Scholar]
- 38.Murdoch J, Varley A, Fletcher E, Britten N, Price L, Calitri R, Green C, Lattimer V, Richards SH, Richards DA, Salisbury C, Taylor RS, Campbell JL. Implementing telephone triage in general practice: a process evaluation of a cluster randomised controlled trial. BMC Fam Pract. 2015 Apr 10;16(1):47. doi: 10.1186/s12875-015-0263-4. https://bmcfampract.biomedcentral.com/articles/10.1186/s12875-015-0263-4 .10.1186/s12875-015-0263-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Lawless M, Wright E, Davidson J. A collaborative approach to improving patient access in general practice: impact of three different pilot schemes in 12 general practices in Greenwich. London J Prim Care (Abingdon) 2016 Jun 10;8(4):56–65. doi: 10.1080/17571472.2016.1173946. https://europepmc.org/abstract/MED/28250835 .1173946 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Villarreal M, Leach J, Ngianga-Bakwin K, Dale J. Can a partnership between general practitioners and ambulance services reduce conveyance to emergency care? Emerg Med J. 2017 Jul 18;34(7):459–65. doi: 10.1136/emermed-2015-204924.emermed-2015-204924 [DOI] [PubMed] [Google Scholar]
- 41.Siddiqui F, Sidhu B, Tahir MA. Using 'active signposting' to streamline general practitioner workload in two London-based practices. BMJ Open Qual. 2017 Oct 21;6(2):e000146. doi: 10.1136/bmjoq-2017-000146. https://bmjopenquality.bmj.com/lookup/pmidlookup?view=long&pmid=29450292 .bmjoq-2017-000146 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Elliott M, Jones S, Johnson C, Wallace C. What are the benefits of nurse-led triage in primary care? Prim Health Care. 2020 doi: 10.7748/phc.2020.e1607. [DOI] [Google Scholar]
- 43.Huibers L, Moth G, Carlsen AH, Christensen MB, Vedsted P. Telephone triage by GPs in out-of-hours primary care in Denmark: a prospective observational study of efficiency and relevance. Br J Gen Pract. 2016 Jul 18;66(650):e667–73. doi: 10.3399/bjgp16x686545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Jansen T, Hek K, Schellevis FG, Kunst AE, Verheij RA. Income-related differences in out-of-hours primary care telephone triage using national registration data. Emerg Med J. 2021 Jun 14;38(6):460–6. doi: 10.1136/emermed-2020-209649.emermed-2020-209649 [DOI] [PubMed] [Google Scholar]
- 45.Eccles A, Hopper M, Turk A, Atherton H. Patient use of an online triage platform: a mixed-methods retrospective exploration in UK primary care. Br J Gen Pract. 2019 Mar 25;69(682):e336–44. doi: 10.3399/bjgp19x702197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Christensen MB, Nørøxe KB, Moth G, Vedsted P, Huibers L. Drug prescriptions in Danish out-of-hours primary care: a 1-yearpopulation-based study. Scand J Prim Health Care. 2016 Dec 02;34(4):453–8. doi: 10.1080/02813432.2016.1248622. https://www.tandfonline.com/doi/10.1080/02813432.2016.1248622?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lake R, Georgiou A, Li J, Li L, Byrne M, Robinson M, Westbrook JI. The quality, safety and governance of telephone triage and advice services - an overview of evidence from systematic reviews. BMC Health Serv Res. 2017 Aug 30;17(1):614. doi: 10.1186/s12913-017-2564-x. https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-017-2564-x .10.1186/s12913-017-2564-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Rushton S, Boggan JC, Lewinski AA, Gordon AM, Shoup JP, Van Voorhees E, Whited JD, Tabriz AA, Adam S, Fulton J, Kosinski AS, Van Noord MG, Williams JW Jr, Goldstein KM, Gierisch JM. Effectiveness of Remote Triage: A Systematic Review. Washington, DC: Department of Veterans Affairs; 2019. [PubMed] [Google Scholar]
- 49.Dixon RF, Stahl JE. A randomized trial of virtual visits in a general medicine practice. J Telemed Telecare. 2009;15(3):115–7. doi: 10.1258/jtt.2009.003003.15/3/115 [DOI] [PubMed] [Google Scholar]
- 50.Stahl JE, Dixon RF. Acceptability and willingness to pay for primary care videoconferencing: a randomized controlled trial. J Telemed Telecare. 2010 Apr 12;16(3):147–51. doi: 10.1258/jtt.2009.090502.16/3/147 [DOI] [PubMed] [Google Scholar]
- 51.Sutcliffe L. Telephone consultations to manage requests for same-day appointments: a randomised controlled trial in two practices. Prim Health Care. 2004 Jun;14(5):8. doi: 10.7748/phc.14.5.8.s14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.McKinstry B, Hammersley V, Burton C, Pinnock H, Elton R, Dowell J, Sawdon N, Heaney D, Elwyn G, Sheikh A. The quality, safety and content of telephone and face-to-face consultations: a comparative study. Qual Saf Health Care. 2010 Aug 29;19(4):298–303. doi: 10.1136/qshc.2008.027763.qshc.2008.027763 [DOI] [PubMed] [Google Scholar]
- 53.Gujral K, Scott JY, Ambady L, Dismuke-Greer CE, Jacobs J, Chow A, Oh A, Yoon J. A primary care telehealth pilot program to improve access: associations with patients' health care utilization and costs. Telemed J E Health. 2022 May 01;28(5):643–53. doi: 10.1089/tmj.2021.0284. [DOI] [PubMed] [Google Scholar]
- 54.Llorian ER, Mason G. Healthcare utilization and telemedicine: an evaluation using linked administrative data from Manitoba. J Telemed Telecare. 2021 Jan 17;29(4):282–90. doi: 10.1177/1357633x20981227. [DOI] [PubMed] [Google Scholar]
- 55.Reed M, Huang J, Graetz I, Muelly E, Millman A, Lee C. Treatment and follow-up care associated with patient-scheduled primary care telemedicine and in-person visits in a large integrated health system. JAMA Netw Open. 2021 Nov 01;4(11):e2132793. doi: 10.1001/jamanetworkopen.2021.32793. https://europepmc.org/abstract/MED/34783828 .2786184 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Graetz I, Huang J, Muelly E, Gopalan A, Lee C, Reed ME. Patient choice of telemedicine increases timeliness of primary care visits. AMIA Annu Symp Proc. 2020;2020:502–3. https://europepmc.org/abstract/MED/33936423 .083_3405561 [PMC free article] [PubMed] [Google Scholar]
- 57.Reed ME, Huang J, Graetz I, Lee C, Muelly E, Kennedy C, Kim E. Patient characteristics associated with choosing a telemedicine visit vs office visit with the same primary care clinicians. JAMA Netw Open. 2020 Jun 01;3(6):e205873. doi: 10.1001/jamanetworkopen.2020.5873. https://europepmc.org/abstract/MED/32585018 .2767244 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Ryskina KL, Shultz K, Zhou Y, Lautenbach G, Brown RT. Older adults' access to primary care: gender, racial, and ethnic disparities in telemedicine. J Am Geriatr Soc. 2021 Oct;69(10):2732–40. doi: 10.1111/jgs.17354. https://europepmc.org/abstract/MED/34224577 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Cecil E, Bottle A, Majeed A, Aylin P. Factors associated with potentially missed acute deterioration in primary care: cohort study of UK general practices. Br J Gen Pract. 2021 Feb 01;71(708):e547–54. doi: 10.3399/bjgp.2020.0986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Gonzalez F, Cimadevila B, Garcia-Comesaña J, Cerqueiro S, Andion E, Prado J, Bermudez J, Rubial F. Telephone consultation in primary care: a retrospective two-year observational analysis of a public healthcare system. J Health Org Manag. 2018 Mar 26;32(2):321–37. doi: 10.1108/jhom-08-2017-0201. [DOI] [PubMed] [Google Scholar]
- 61.Ross AA, Yap TL, Nest JV, Martin K, Edie AH. Increasing primary care access close to home for residents of remote communities in Northern Alberta. Healthc Q. 2016 Oct 31;19(3):61–6. doi: 10.12927/hcq.2016.24863. [DOI] [PubMed] [Google Scholar]
- 62.Bernstein P, Ko KJ, Israni J, Cronin AO, Kurliand MM, Shi JM, Chung J, Borgo L, Reed A, Kosten L, Chang AM, Sites FD, Funahashi T, Agha Z. Urgent and non-emergent telehealth care for seniors: findings from a multi-site impact study. J Telemed Telecare. 2023 Aug;29(7):566–75. doi: 10.1177/1357633X211004321. https://journals.sagepub.com/doi/abs/10.1177/1357633X211004321?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Lovell T, Albritton J, Dalto J, Ledward C, Daines W. Virtual vs traditional care settings for low-acuity urgent conditions: an economic analysis of cost and utilization using claims data. J Telemed Telecare. 2019 Jul 25;27(1):59–65. doi: 10.1177/1357633x19861232. [DOI] [PubMed] [Google Scholar]
- 64.Ohta M, Ohira Y, Uehara T, Keira K, Noda K, Hirukawa M, Shikino K, Kajiwara H, Shimada F, Hirota Y, Ikegami A, Ikusaka M. How accurate are first visit diagnoses using synchronous video visits with physicians? Telemed J E Health. 2017 Feb;23(2):119–29. doi: 10.1089/tmj.2015.0245. [DOI] [PubMed] [Google Scholar]
- 65.Gordon AS, Adamson WC, DeVries AR. Virtual visits for acute, nonurgent care: a claims analysis of episode-level utilization. J Med Internet Res. 2017 Feb 17;19(2):e35. doi: 10.2196/jmir.6783. https://www.jmir.org/2017/2/e35/ v19i2e35 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Grech CK, Laux MA, Burrows HL, Macy ML, Pomeranz ES. Pediatric emergency department resource utilization among children with primary care clinic contact in the preceding 2 days: a cross-sectional study. J Pediatr. 2017 Sep;188:245–51.e2. doi: 10.1016/j.jpeds.2017.06.007.S0022-3476(17)30785-0 [DOI] [PubMed] [Google Scholar]
- 67.Abrashkin KA, Washko JD, Li T, Berkowitz J, Poku A, Zhang J, Smith KL, Rhodes KV. Video or telephone? A natural experiment on the added value of video communication in community paramedic responses. Ann Emerg Med. 2021 Jan;77(1):103–9. doi: 10.1016/j.annemergmed.2020.04.026.S0196-0644(20)30293-6 [DOI] [PubMed] [Google Scholar]
- 68.Al Mazrouei N, Ibrahim RM, Al Meslamani AZ, Abdel-Qader DH, Mohamed Ibrahim O. Virtual pharmacist interventions on abuse of over-the-counter medications during COVID-19 versus traditional pharmacist interventions. J Am Pharm Assoc (2003) 2021 May;61(3):331–9. doi: 10.1016/j.japh.2021.02.003. https://europepmc.org/abstract/MED/33676838 .S1544-3191(21)00071-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Carrillo de Albornoz S, Sia KL, Harris A. The effectiveness of teleconsultations in primary care: systematic review. Fam Pract. 2022 Jan 19;39(1):168–82. doi: 10.1093/fampra/cmab077. https://europepmc.org/abstract/MED/34278421 .6323555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Gray C, Mason J, Loshak H. An overview of direct-to-patient virtual visits in Canada. Can J Health Technol. 2021 Jun;1(6) doi: 10.51731/cjht.2021.80. [DOI] [Google Scholar]
- 71.Totten AM, Hansen RN, Wagner J, Stillman L, Ivlev I, Davis-O’Reilly C, Towle C, Erickson JM, Erten-Lyons D, Fann R, Fann J, Palm-Cruz JB, Palm-Cruz KJ, Avery M, McDonagh MS. Telehealth for Acute and Chronic Care Consultations [Internet] Rockville, MD: Agency for Healthcare Research and Quality; 2019. [PubMed] [Google Scholar]
- 72.Totten AM, McDonagh MS, Wagner JH. The evidence base for telehealth: reassurance in the face of rapid expansion during the COVID-19 pandemic. Agency for Healthcare Research and Quality. 2020. [2022-01-31]. https://effectivehealthcare.ahrq.gov/products/telehealth-expansion/white-paper . [PubMed]
- 73.Totten AM, Womack DM, Eden KB, McDonagh M, Griffin JC, Grusing S, Hersh WR. Telehealth: mapping the evidence for patient outcomes from systematic reviews. Agency for Healthcare Research and Quality. 2016. [2022-01-31]. https://www.drugsandalcohol.ie/32090/ [PubMed]
- 74.Schifeling CH, Shanbhag P, Johnson A, Atwater RC, Koljack C, Parnes BL, Vejar MM, Farro SA, Phimphasone-Brady P, Lum HD. Disparities in video and telephone visits among older adults during the COVID-19 pandemic: cross-sectional analysis. JMIR Aging. 2020 Nov 10;3(2):e23176. doi: 10.2196/23176. https://aging.jmir.org/2020/2/e23176/ v3i2e23176 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Eberly LA, Kallan MJ, Julien HM, Haynes N, Khatana SA, Nathan AS, Snider C, Chokshi NP, Eneanya ND, Takvorian SU, Anastos-Wallen R, Chaiyachati K, Ambrose M, O'Quinn R, Seigerman M, Goldberg LR, Leri D, Choi K, Gitelman Y, Kolansky DM, Cappola TP, Ferrari VA, Hanson CW, Deleener ME, Adusumalli S. Patient characteristics associated with telemedicine access for primary and specialty ambulatory care during the COVID-19 pandemic. JAMA Netw Open. 2020 Dec 01;3(12):e2031640. doi: 10.1001/jamanetworkopen.2020.31640.2774488 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Schenker RB, Laguna MC, Odisho AY, Okumura MJ, Burnett H. Are we reaching everyone? A cross-sectional study of telehealth inequity in the COVID-19 pandemic in an urban academic pediatric primary care clinic. Clin Pediatr (Phila) 2022 Jan;61(1):26–33. doi: 10.1177/00099228211045809. https://journals.sagepub.com/doi/abs/10.1177/00099228211045809?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Lopez Segui F, Hernandez Guillamet G, Pifarré Arolas H, Marin-Gomez FX, Ruiz Comellas A, Ramirez Morros AM, Adroher Mas C, Vidal-Alaball J. Characterization and identification of variations in types of primary care visits before and during the COVID-19 pandemic in Catalonia: big data analysis study. J Med Internet Res. 2021 Sep 14;23(9):e29622. doi: 10.2196/29622. https://www.jmir.org/2021/9/e29622/ v23i9e29622 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.van der Velden AW, Bax EA, Bongard E, Munck Aabenhus R, Anastasaki M, Anthierens S, Balan A, Böhmer F, Bruno P, Chlabicz S, Coenen S, Colliers A, Emmerich S, Garcia-Sangenis A, Ghazaryan H, van der Linde SR, Malania L, Pauer J, Tomacinschii A, Tonkin-Crine S, Vellinga A, Zastavnyy I, Verheij T, Goossens H, Butler CC. Primary care for patients with respiratory tract infection before and early on in the COVID-19 pandemic: an observational study in 16 European countries. BMJ Open. 2021 Jul 29;11(7):e049257. doi: 10.1136/bmjopen-2021-049257. https://bmjopen.bmj.com/lookup/pmidlookup?view=long&pmid=34326052 .bmjopen-2021-049257 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Brown CL, Montez K, Amati JB, Simeonsson K, Townsend JD, Orr CJ, Palakshappa D. Impact of COVID-19 on pediatric primary care visits at four academic institutions in the Carolinas. Int J Environ Res Public Health. 2021 May 27;18(11):5734. doi: 10.3390/ijerph18115734. https://www.mdpi.com/resolver?pii=ijerph18115734 .ijerph18115734 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Murphy M, Scott LJ, Salisbury C, Turner A, Scott A, Denholm R, Lewis R, Iyer G, Macleod J, Horwood J. Implementation of remote consulting in UK primary care following the COVID-19 pandemic: a mixed-methods longitudinal study. Br J Gen Pract. 2021 Jan 17;71(704):e166–77. doi: 10.3399/bjgp.2020.0948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Sigurdsson EL, Blondal AB, Jonsson JS, Tomasdottir MO, Hrafnkelsson H, Linnet K, Sigurdsson JA. How primary healthcare in Iceland swiftly changed its strategy in response to the COVID-19 pandemic. BMJ Open. 2020 Dec 07;10(12):e043151. doi: 10.1136/bmjopen-2020-043151. https://bmjopen.bmj.com/lookup/pmidlookup?view=long&pmid=33293329 .bmjopen-2020-043151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Mohamed Ibrahim O, Ibrahim RM, Abdel-Qader DH, Al Meslamani AZ, Al Mazrouei N. Evaluation of telepharmacy services in light of COVID-19. Telemed J E Health. 2021 Jun 01;27(6):649–56. doi: 10.1089/tmj.2020.0283. [DOI] [PubMed] [Google Scholar]
- 83.Penza KS, Murray MA, Myers JF, Furst JW, Pecina JL. Management of acute sinusitis via e-visit. Telemed J E Health. 2021 May 10;27(5):532–6. doi: 10.1089/tmj.2020.0047. [DOI] [PubMed] [Google Scholar]
- 84.Murray MA, Penza KS, Myers JF, Furst JW, Pecina JL. Comparison of eVisit management of urinary symptoms and urinary tract infections with standard care. Telemed J E Health. 2020 May 01;26(5):639–44. doi: 10.1089/tmj.2019.0044. [DOI] [PubMed] [Google Scholar]
- 85.Shi Z, Mehrotra A, Gidengil CA, Poon SJ, Uscher-Pines L, Ray KN. Quality of care for acute respiratory infections during direct-to-consumer telemedicine visits for adults. Health Aff (Millwood) 2018 Dec;37(12):2014–23. doi: 10.1377/hlthaff.2018.05091. https://europepmc.org/abstract/MED/30633682 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Ray KN, Shi Z, Gidengil CA, Poon SJ, Uscher-Pines L, Mehrotra A. Antibiotic prescribing during pediatric direct-to-consumer telemedicine visits. Pediatrics. 2019 May 08;143(5):e20182491. doi: 10.1542/peds.2018-2491. https://europepmc.org/abstract/MED/30962253 .peds.2018-2491 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Ray KN, Martin JM, Wolfson D, Schweiberger K, Schoemer P, Cepullio C, Iagnemma J, Hoberman A. Antibiotic prescribing for acute respiratory tract infections during telemedicine visits within a pediatric primary care network. Acad Pediatr. 2021 Sep;21(7):1239–43. doi: 10.1016/j.acap.2021.03.008.S1876-2859(21)00146-7 [DOI] [PubMed] [Google Scholar]
- 88.Ewen E, Willey VJ, Kolm P, McGhan WF, Drees M. Antibiotic prescribing by telephone in primary care. Pharmacoepidemiol Drug Saf. 2015 Feb 31;24(2):113–20. doi: 10.1002/pds.3686. [DOI] [PubMed] [Google Scholar]
- 89.Frost HM, Sebastian T, Durfee J, Jenkins TC. Ophthalmic antibiotic use for acute infectious conjunctivitis in children. J AAPOS. 2021 Dec;25(6):350.e1–.e7. doi: 10.1016/j.jaapos.2021.06.006. https://europepmc.org/abstract/MED/34737083 .S1091-8531(21)00558-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Penza KS, Murray MA, Myers JF, Maxson J, Furst JW, Pecina JL. Treating pediatric conjunctivitis without an exam: an evaluation of outcomes and antibiotic usage. J Telemed Telecare. 2018 Aug 28;26(1-2):73–8. doi: 10.1177/1357633x18793031. [DOI] [PubMed] [Google Scholar]
- 91.Bakhit M, Baillie E, Krzyzaniak N, van Driel M, Clark J, Glasziou P, Del Mar C. Antibiotic prescribing for acute infections in synchronous telehealth consultations: a systematic review and meta-analysis. BJGP Open. 2021 Sep 08;5(6):BJGPO.2021.0106. doi: 10.3399/bjgpo.2021.0106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Han SM, Greenfield G, Majeed A, Hayhoe B. Impact of remote consultations on antibiotic prescribing in primary health care: systematic review. J Med Internet Res. 2020 Nov 09;22(11):e23482. doi: 10.2196/23482. https://www.jmir.org/2020/11/e23482/ v22i11e23482 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Phillips JC, Lord RW, Davis SW, Burton AA, Kirk JK. Comparing telehealth to traditional office visits for patient management in the COVID-19 pandemic: a cross-sectional study in a respiratory assessment clinic. J Telemed Telecare. 2021 Feb 01;29(5):374–81. doi: 10.1177/1357633x21990197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Tarn DM, Hintz C, Mendez-Hernandez E, Sawlani SP, Bholat MA. Using virtual visits to care for primary care patients with COVID-19 symptoms. J Am Board Fam Med. 2021 Feb 23;34(Supplement):S147–51. doi: 10.3122/jabfm.2021.s1.200241. [DOI] [PubMed] [Google Scholar]
- 95.Riese A, Kelly JM, Chu TC, Heinly A, Kamath S, Golova N, Watts DJ. Visits for possible COVID-19 in a pediatric primary care practice early in the pandemic. R I Med J (2013) 2021 Aug 02;104(6):43–8. http://rimed.org/rimedicaljournal/2021/08/2021-08-43-contribution-riese.pdf . [PubMed] [Google Scholar]
- 96.Irving G, Lawson D, Tinsley A, Parr H, Whittaker C, Jones H, Cox S. Evaluation of a 'drop box' doorstep assessment service to aid remote assessments for COVID-19 in general practice. BMJ Open Qual. 2021 Mar 29;10(1):e001081. doi: 10.1136/bmjoq-2020-001081. https://bmjopenquality.bmj.com/lookup/pmidlookup?view=long&pmid=33781992 .bmjoq-2020-001081 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Gruffydd-Jones K, Hollinghurst S, Ward S, Taylor G. Targeted routine asthma care in general practice using telephone triage. Br J Gen Pract. 2005 Dec;55(521):918–23. https://bjgp.org/lookup/pmidlookup?view=long&pmid=16378560 . [PMC free article] [PubMed] [Google Scholar]
- 98.Pinnock H, Adlem L, Gaskin S, Harris J, Snellgrove C, Sheikh A. Accessibility, clinical effectiveness, and practice costs of providing a telephone option for routine asthma reviews: phase IV controlled implementation study. Br J Gen Pract. 2007 Sep;57(542):714–22. https://bjgp.org/lookup/pmidlookup?view=long&pmid=17761059 . [PMC free article] [PubMed] [Google Scholar]
- 99.Pinnock H, Bawden R, Proctor S, Wolfe S, Scullion J, Price D, Sheikh A. Accessibility, acceptability, and effectiveness in primary care of routine telephone review of asthma: pragmatic, randomised controlled trial. BMJ. 2003 Mar 01;326(7387):477–9. doi: 10.1136/bmj.326.7387.477. https://europepmc.org/abstract/MED/12609944 .326/7387/477 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Al Harthi T, Anwar H, Al Lawati A, Al Shuriqi F, Al Rashdi F, Al Mahrouqi A, Al Ismaili M, Al Syiabi R, Al Azri H, Meah UH, Al Ghafri T. The impact of Covid-19 on diabetes care in Muscat governorate: a retrospective cohort study in primary care. J Prim Care Community Health. 2021 Oct 30;12:21501327211051930. doi: 10.1177/21501327211051930. https://journals.sagepub.com/doi/abs/10.1177/21501327211051930?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Lu AD, Gunzburger E, Glorioso TJ, Smith WB 2nd, Kenney RR, Whooley MA, Ho PM. Impact of longitudinal virtual primary care on diabetes quality of care. J Gen Intern Med. 2021 Sep;36(9):2585–92. doi: 10.1007/s11606-020-06547-x. https://europepmc.org/abstract/MED/33483815 .10.1007/s11606-020-06547-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Turner BJ, Liang Y, Ramachandran A, Poursani R. Telephone or visit-based community health worker care management for uncontrolled diabetes mellitus: a longitudinal study. J Community Health. 2020 Dec 29;45(6):1123–31. doi: 10.1007/s10900-020-00849-1. https://europepmc.org/abstract/MED/32472457 .10.1007/s10900-020-00849-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Wickström H, Öien RF, Midlöv P, Anderberg P, Fagerström C. Pain and analgesics in patients with hard-to-heal ulcers: using telemedicine or standard consultations. J Wound Care. 2021 Jun 01;30(Sup6):S23–32. doi: 10.12968/jowc.2021.30.sup6.s23. [DOI] [PubMed] [Google Scholar]
- 104.Wickström HL, Öien RF, Fagerström C, Anderberg P, Jakobsson U, Midlöv PJ. Comparing video consultation with inperson assessment for Swedish patients with hard-to-heal ulcers: registry-based studies of healing time and of waiting time. BMJ Open. 2018 Feb 15;8(2):e017623. doi: 10.1136/bmjopen-2017-017623. https://bmjopen.bmj.com/lookup/pmidlookup?view=long&pmid=29449288 .bmjopen-2017-017623 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Eibl JK, Gauthier G, Pellegrini D, Daiter J, Varenbut M, Hogenbirk JC, Marsh DC. The effectiveness of telemedicine-delivered opioid agonist therapy in a supervised clinical setting. Drug Alcohol Depend. 2017 Jul 01;176:133–8. doi: 10.1016/j.drugalcdep.2017.01.048. https://linkinghub.elsevier.com/retrieve/pii/S0376-8716(17)30207-7 .S0376-8716(17)30207-7 [DOI] [PubMed] [Google Scholar]
- 106.Rivera J, Shcherbakova N, Vala C, Capoccia K. Community pharmacists' interventions and documentation during medication therapy management encounters delivered face-to-face versus via telephone: the devil is in the details. Res Social Adm Pharm. 2020 Oct;16(10):1447–51. doi: 10.1016/j.sapharm.2019.12.020.S1551-7411(19)30665-5 [DOI] [PubMed] [Google Scholar]
- 107.Ho C, Argáez C. Telehealth-Delivered Opioid Agonist Therapy for the Treatment of Adults with Opioid Use Disorder: Review of Clinical Effectiveness, Cost-Effectiveness, and Guidelines [Internet] Ottawa, ON: Canadian Agency for Drugs and Technologies in Health; 2018. [PubMed] [Google Scholar]
- 108.Barth J, Nickel F, Kolominsky-Rabas PL. Diagnosis of cognitive decline and dementia in rural areas - a scoping review. Int J Geriatr Psychiatry. 2018 Mar;33(3):459–74. doi: 10.1002/gps.4841. [DOI] [PubMed] [Google Scholar]
- 109.Grossman D, Grindlay K. Safety of medical abortion provided through telemedicine compared with in person. Obstet Gynecol. 2017 Oct;130(4):778–82. doi: 10.1097/AOG.0000000000002212.00006250-201710000-00016 [DOI] [PubMed] [Google Scholar]
- 110.Grossman DA, Grindlay K, Buchacker T, Potter JE, Schmertmann CP. Changes in service delivery patterns after introduction of telemedicine provision of medical abortion in Iowa. Am J Public Health. 2013 Jan;103(1):73–8. doi: 10.2105/AJPH.2012.301097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Grossman D, Grindlay K, Buchacker T, Lane K, Blanchard K. Effectiveness and acceptability of medical abortion provided through telemedicine. Obstet Gynecol. 2011 Aug;118(2 Pt 1):296–303. doi: 10.1097/AOG.0b013e318224d110.00006250-201108000-00014 [DOI] [PubMed] [Google Scholar]
- 112.Grossman D, Baum SE, Andjelic D, Tatum C, Torres G, Fuentes L, Friedman J. A harm-reduction model of abortion counseling about misoprostol use in Peru with telephone and in-person follow-up: a cohort study. PLoS One. 2018 Jan 10;13(1):e0189195. doi: 10.1371/journal.pone.0189195. https://dx.plos.org/10.1371/journal.pone.0189195 .PONE-D-17-20889 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Cameron ST, Glasier A, Dewart H, Johnstone A, Burnside A. Telephone follow-up and self-performed urine pregnancy testing after early medical abortion: a service evaluation. Contraception. 2012 Jul;86(1):67–73. doi: 10.1016/j.contraception.2011.11.010.S0010-7824(11)00670-6 [DOI] [PubMed] [Google Scholar]
- 114.Maddison R, Rawstorn JC, Stewart RA, Benatar J, Whittaker R, Rolleston A, Jiang Y, Gao L, Moodie M, Warren I, Meads A, Gant N. Effects and costs of real-time cardiac telerehabilitation: randomised controlled non-inferiority trial. Heart. 2019 Jan 27;105(2):122–9. doi: 10.1136/heartjnl-2018-313189. http://heart.bmj.com/lookup/pmidlookup?view=long&pmid=30150328 .heartjnl-2018-313189 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Scalvini S, Zanelli E, Comini L, Dalla Tomba M, Troise G, Febo O, Giordano A. Home-based versus in-hospital cardiac rehabilitation after cardiac surgery: a nonrandomized controlled study. Phys Ther. 2013 Aug;93(8):1073–83. doi: 10.2522/ptj.20120212.ptj.20120212 [DOI] [PubMed] [Google Scholar]
- 116.Moffet H, Tousignant M, Nadeau S, Mérette C, Boissy P, Corriveau H, Marquis F, Cabana F, Ranger P, Belzile ÉL, Dimentberg R. In-home telerehabilitation compared with face-to-face rehabilitation after total knee arthroplasty: a noninferiority randomized controlled trial. J Bone Joint Surg Am. 2015 Jul 15;97(14):1129–41. doi: 10.2106/JBJS.N.01066.97/14/1129 [DOI] [PubMed] [Google Scholar]
- 117.Piqueras M, Marco E, Coll M, Escalada F, Ballester A, Cinca C, Belmonte R, Muniesa JM. Effectiveness of an interactive virtual telerehabilitation system in patients after total knee arthoplasty: a randomized controlled trial. J Rehabil Med. 2013 Apr;45(4):392–6. doi: 10.2340/16501977-1119. https://doi.org/10.2340/16501977-1119 . [DOI] [PubMed] [Google Scholar]
- 118.Kuether J, Moore A, Kahan J, Martucci J, Messina T, Perreault R, Sembler R, Tarutis J, Zazulak B, Rubin LE, O'Connor MI. Telerehabilitation for total hip and knee arthroplasty patients: a pilot series with high patient satisfaction. HSS J. 2019 Oct 21;15(3):221–5. doi: 10.1007/s11420-019-09715-w. https://journals.sagepub.com/doi/abs/10.1007/s11420-019-09715-w?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed .9715 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Nicola K, Waugh J, Charles E, Russell T. The feasibility and concurrent validity of performing the Movement Assessment Battery for Children - 2nd Edition via telerehabilitation technology. Res Dev Disabil. 2018 Jun;77:40–8. doi: 10.1016/j.ridd.2018.04.001.S0891-4222(18)30077-5 [DOI] [PubMed] [Google Scholar]
- 120.Ewald B, Stacey F, Johnson N, Plotnikoff RC, Holliday E, Brown W, James EL. Physical activity coaching by Australian Exercise Physiologists is cost effective for patients referred from general practice. Aust N Z J Public Health. 2018 Feb;42(1):12–5. doi: 10.1111/1753-6405.12733. https://onlinelibrary.wiley.com/doi/10.1111/1753-6405.12733 . [DOI] [PubMed] [Google Scholar]
- 121.Cottrell MA, O'Leary SP, Swete-Kelly P, Elwell B, Hess S, Litchfield MA, McLoughlin I, Tweedy R, Raymer M, Hill AJ, Russell TG. Agreement between telehealth and in-person assessment of patients with chronic musculoskeletal conditions presenting to an advanced-practice physiotherapy screening clinic. Musculoskelet Sci Pract. 2018 Dec;38:99–105. doi: 10.1016/j.msksp.2018.09.014.S2468-7812(18)30096-1 [DOI] [PubMed] [Google Scholar]
- 122.Inglis SC, Clark RA, Dierckx R, Prieto-Merino D, Cleland JGF. Structured telephone support or non-invasive telemonitoring for patients with heart failure. Cochrane Database Syst Rev. 2015 Oct 31;2015(10):CD007228. doi: 10.1002/14651858.CD007228.pub3. https://europepmc.org/abstract/MED/26517969 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Anderson L, Sharp GA, Norton RJ, Dalal H, Dean SG, Jolly K, Cowie A, Zawada A, Taylor RS. Home-based versus centre-based cardiac rehabilitation. Cochrane Database Syst Rev. 2017 Jun 30;6(6):CD007130. doi: 10.1002/14651858.CD007130.pub4. https://europepmc.org/abstract/MED/28665511 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Jin K, Khonsari S, Gallagher R, Gallagher P, Clark AM, Freedman B, Briffa T, Bauman A, Redfern J, Neubeck L. Telehealth interventions for the secondary prevention of coronary heart disease: a systematic review and meta-analysis. Eur J Cardiovasc Nurs. 2019 Apr;18(4):260–71. doi: 10.1177/1474515119826510. [DOI] [PubMed] [Google Scholar]
- 125.Cottrell MA, Galea OA, O'Leary SP, Hill AJ, Russell TG. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil. 2017 May 02;31(5):625–38. doi: 10.1177/0269215516645148.0269215516645148 [DOI] [PubMed] [Google Scholar]
- 126.Jiang S, Xiang J, Gao X, Guo K, Liu B. The comparison of telerehabilitation and face-to-face rehabilitation after total knee arthroplasty: a systematic review and meta-analysis. J Telemed Telecare. 2016 Dec 27;24(4):257–62. doi: 10.1177/1357633x16686748. [DOI] [PubMed] [Google Scholar]
- 127.Shukla H, Nair SR, Thakker D. Role of telerehabilitation in patients following total knee arthroplasty: evidence from a systematic literature review and meta-analysis. J Telemed Telecare. 2016 Jul 09;23(2):339–46. doi: 10.1177/1357633x16628996. [DOI] [PubMed] [Google Scholar]
- 128.Rawstorn JC, Gant N, Direito A, Beckmann C, Maddison R. Telehealth exercise-based cardiac rehabilitation: a systematic review and meta-analysis. Heart. 2016 Aug 01;102(15):1183–92. doi: 10.1136/heartjnl-2015-308966.heartjnl-2015-308966 [DOI] [PubMed] [Google Scholar]
- 129.Mani S, Sharma S, Omar B, Paungmali A, Joseph L. Validity and reliability of internet-based physiotherapy assessment for musculoskeletal disorders: a systematic review. J Telemed Telecare. 2016 Mar 31;23(3):379–91. doi: 10.1177/1357633x16642369. [DOI] [PubMed] [Google Scholar]
- 130.Telehealth for Speech and Language Pathology: A Review of Clinical Effectiveness, Cost-Effectiveness, and Guidelines [Internet] Ottawa, ON: Canadian Agency for Drugs and Technologies in Health; 2015. [PubMed] [Google Scholar]
- 131.Alegría M, Ludman E, Kafali EN, Lapatin S, Vila D, Shrout PE, Keefe K, Cook B, Ault A, Li X, Bauer AM, Epelbaum C, Alcantara C, Pineda TI, Tejera GG, Suau G, Leon K, Lessios AS, Ramirez RR, Canino G. Effectiveness of the Engagement and Counseling for Latinos (ECLA) intervention in low-income Latinos. Med Care. 2014 Nov;52(11):989–97. doi: 10.1097/MLR.0000000000000232. https://europepmc.org/abstract/MED/25310525 .00005650-201411000-00009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Alcántara C, Li X, Wang Y, Canino G, Alegría M. Treatment moderators and effectiveness of Engagement and Counseling for Latinos intervention on worry reduction in a low-income primary care sample. J Consult Clin Psychol. 2016 Nov;84(11):1016–22. doi: 10.1037/ccp0000146. https://europepmc.org/abstract/MED/27631958 .2016-44084-001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Kirkness CJ, Cain KC, Becker KJ, Tirschwell DL, Buzaitis AM, Weisman PL, McKenzie S, Teri L, Kohen R, Veith RC, Mitchell PH. Randomized trial of telephone versus in-person delivery of a brief psychosocial intervention in post-stroke depression. BMC Res Notes. 2017 Oct 10;10(1):500. doi: 10.1186/s13104-017-2819-y. https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-017-2819-y .10.1186/s13104-017-2819-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Byun E, Becker KJ, Kohen R, Kirkness CJ, Mitchell PH. Brief psychosocial intervention to address poststroke depression may also benefit fatigue and sleep-wake disturbance. Rehabil Nurs. 2021;46(4):222–31. doi: 10.1097/RNJ.0000000000000304.00006939-900000000-99731 [DOI] [PubMed] [Google Scholar]
- 135.Mohr DC, Ho J, Duffecy J, Reifler D, Sokol L, Burns MN, Jin L, Siddique J. Effect of telephone-administered vs face-to-face cognitive behavioral therapy on adherence to therapy and depression outcomes among primary care patients: a randomized trial. JAMA. 2012 Jun 06;307(21):2278–85. doi: 10.1001/jama.2012.5588. https://europepmc.org/abstract/MED/22706833 .1172045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Kalapatapu RK, Ho J, Cai X, Vinogradov S, Batki SL, Mohr DC. Cognitive-behavioral therapy in depressed primary care patients with co-occurring problematic alcohol use: effect of telephone-administered vs. face-to-face treatment-a secondary analysis. J Psychoactive Drugs. 2014 May 06;46(2):85–92. doi: 10.1080/02791072.2013.876521. https://europepmc.org/abstract/MED/25052784 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Stiles-Shields C, Kwasny MJ, Cai X, Mohr DC. Therapeutic alliance in face-to-face and telephone-administered cognitive behavioral therapy. J Consult Clin Psychol. 2014 Apr;82(2):349–54. doi: 10.1037/a0035554. https://europepmc.org/abstract/MED/24447003 .2014-02032-001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Stiles-Shields C, Corden ME, Kwasny MJ, Schueller SM, Mohr DC. Predictors of outcome for telephone and face-to-face administered cognitive behavioral therapy for depression. Psychol Med. 2015 Nov;45(15):3205–15. doi: 10.1017/S0033291715001208. https://europepmc.org/abstract/MED/26077620 .S0033291715001208 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Choi NG, Marti CN, Bruce ML, Hegel MT, Wilson NL, Kunik ME. Six-month postintervention depression and disability outcomes of in-home telehealth problem-solving therapy for depressed, low-income homebound older adults. Depress Anxiety. 2014 Aug 05;31(8):653–61. doi: 10.1002/da.22242. https://europepmc.org/abstract/MED/24501015 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Choi NG, Marti CN, Conwell Y. Effect of problem-solving therapy on depressed low-income homebound older adults' death/suicidal ideation and hopelessness. Suicide Life Threat Behav. 2016 Jun 12;46(3):323–36. doi: 10.1111/sltb.12195. https://europepmc.org/abstract/MED/26456016 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Egede LE, Acierno R, Knapp RG, Lejuez C, Hernandez-Tejada M, Payne EH, Frueh BC. Psychotherapy for depression in older veterans via telemedicine: a randomised, open-label, non-inferiority trial. Lancet Psychiatry. 2015 Aug;2(8):693–701. doi: 10.1016/s2215-0366(15)00122-4. [DOI] [PubMed] [Google Scholar]
- 142.Egede LE, Acierno R, Knapp RG, Walker RJ, Payne EH, Frueh BC. Psychotherapy for depression in older veterans via telemedicine: effect on quality of life, satisfaction, treatment credibility, and service delivery perception. J Clin Psychiatry. 2016 Dec 08;77(12):1704–11. doi: 10.4088/JCP.16m10951. http://paperpile.com/b/69gCR7/iAWl . [DOI] [PubMed] [Google Scholar]
- 143.Egede LE, Gebregziabher M, Walker RJ, Payne EH, Acierno R, Frueh BC. Trajectory of cost overtime after psychotherapy for depression in older veterans via telemedicine. J Affect Disord. 2017 Jan 01;207:157–62. doi: 10.1016/j.jad.2016.09.044.S0165-0327(16)31153-3 [DOI] [PubMed] [Google Scholar]
- 144.Egede LE, Dismuke CE, Walker RJ, Acierno R, Frueh BC. Cost-effectiveness of behavioral activation for depression in older adult veterans. J Clin Psychiatry. 2018 Aug 28;79(5):17m11888. doi: 10.4088/jcp.17m11888. [DOI] [PubMed] [Google Scholar]
- 145.Egede LE, Walker RJ, Payne EH, Knapp RG, Acierno R, Frueh BC. Effect of psychotherapy for depression via home telehealth on glycemic control in adults with type 2 diabetes: subgroup analysis of a randomized clinical trial. J Telemed Telecare. 2018 Oct;24(9):596–602. doi: 10.1177/1357633X17730419. [DOI] [PubMed] [Google Scholar]
- 146.Luxton DD, Pruitt LD, Wagner A, Smolenski DJ, Jenkins-Guarnieri MA, Gahm G. Home-based telebehavioral health for U.S. military personnel and veterans with depression: a randomized controlled trial. J Consult Clin Psychol. 2016 Nov;84(11):923–34. doi: 10.1037/ccp0000135.2016-42724-001 [DOI] [PubMed] [Google Scholar]
- 147.Smolenski DJ, Pruitt LD, Vuletic S, Luxton DD, Gahm G. Unobserved heterogeneity in response to treatment for depression through videoconference. Psychiatr Rehabil J. 2017 Sep;40(3):303–8. doi: 10.1037/prj0000273.2017-25716-001 [DOI] [PubMed] [Google Scholar]
- 148.Pruitt LD, Vuletic S, Smolenski DJ, Wagner A, Luxton DD, Gahm GA. Predicting post treatment client satisfaction between behavioural activation for depression delivered either in-person or via home-based telehealth. J Telemed Telecare. 2018 Jul 05;25(8):460–7. doi: 10.1177/1357633x18784103. http://paperpile.com/b/69gCR7/H9D9 . [DOI] [PubMed] [Google Scholar]
- 149.Bouchard S, Allard M, Robillard G, Dumoulin S, Guitard T, Loranger C, Green-Demers I, Marchand A, Renaud P, Cournoyer LG, Corno G. Videoconferencing psychotherapy for panic disorder and agoraphobia: outcome and treatment processes from a non-randomized non-inferiority trial. Front Psychol. 2020 Aug 21;11:2164. doi: 10.3389/fpsyg.2020.02164. https://europepmc.org/abstract/MED/32973638 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Milosevic I, Cameron DH, Milanovic M, McCabe RE, Rowa K. Face-to-face versus video teleconference group cognitive behavioural therapy for anxiety and related disorders: a preliminary comparison. Can J Psychiatry. 2022 May 23;67(5):391–402. doi: 10.1177/07067437211027319. https://europepmc.org/abstract/MED/34159838 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Watts S, Marchand A, Bouchard S, Gosselin P, Langlois F, Belleville G, Dugas MJ. Telepsychotherapy for generalized anxiety disorder: impact on the working alliance. J Psychother Integr. 2020 Jun;30(2):208–25. doi: 10.1037/int0000223. [DOI] [Google Scholar]
- 152.Acierno R, Gros DF, Ruggiero KJ, Hernandez-Tejada MA, Knapp RG, Lejuez CW, Muzzy W, Frueh CB, Egede LE, Tuerk PW. Behavioral activation and therapeutic exposure for posttraumatic stress disorder: a noninferiority trial of treatment delivered in person versus home-based telehealth. Depress Anxiety. 2016 May 10;33(5):415–23. doi: 10.1002/da.22476. [DOI] [PubMed] [Google Scholar]
- 153.Acierno R, Knapp R, Tuerk P, Gilmore AK, Lejuez C, Ruggiero K, Muzzy W, Egede L, Hernandez-Tejada MA, Foa EB. A non-inferiority trial of prolonged exposure for posttraumatic stress disorder: in person versus home-based telehealth. Behav Res Ther. 2017 Feb;89:57–65. doi: 10.1016/j.brat.2016.11.009. https://europepmc.org/abstract/MED/27894058 .S0005-7967(16)30196-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Gros DF, Allan NP, Lancaster CL, Szafranski DD, Acierno R. Predictors of treatment discontinuation during prolonged exposure for PTSD. Behav Cogn Psychother. 2017 Jul 03;46(1):35–49. doi: 10.1017/s135246581700039x. [DOI] [PubMed] [Google Scholar]
- 155.Acierno R, Jaffe AE, Gilmore AK, Birks A, Denier C, Muzzy W, Lopez CM, Tuerk P, Grubaugh AL. A randomized clinical trial of in-person vs. home-based telemedicine delivery of prolonged exposure for PTSD in military sexual trauma survivors. J Anxiety Disord. 2021 Oct;83:102461. doi: 10.1016/j.janxdis.2021.102461.S0887-6185(21)00108-0 [DOI] [PubMed] [Google Scholar]
- 156.White CN, Kauffman BY, Acierno R. Factors contributing to veterans’ satisfaction with PTSD treatment delivered in person compared to telehealth. J Telemed Telecare. 2021 Jan 26;29(6):426–34. doi: 10.1177/1357633x20987704. [DOI] [PubMed] [Google Scholar]
- 157.Morland LA, Mackintosh MA, Glassman LH, Wells SY, Thorp SR, Rauch SA, Cunningham PB, Tuerk PW, Grubbs KM, Golshan S, Sohn MJ, Acierno R. Home-based delivery of variable length prolonged exposure therapy: a comparison of clinical efficacy between service modalities. Depress Anxiety. 2020 Apr 24;37(4):346–55. doi: 10.1002/da.22979. [DOI] [PubMed] [Google Scholar]
- 158.Morland LA, Mackintosh MA, Greene CJ, Rosen CS, Chard KM, Resick P, Frueh BC. Cognitive processing therapy for posttraumatic stress disorder delivered to rural veterans via telemental health. J Clin Psychiatry. 2014 May 15;75(05):470–6. doi: 10.4088/jcp.13m08842. [DOI] [PubMed] [Google Scholar]
- 159.Morland LA, Mackintosh MA, Rosen CS, Willis E, Resick P, Chard K, Frueh BC. Telemedicine versus in-person delivery of cognitive processing therapy for women with posttraumatic stress disorder: a randomized noninferiority trial. Depress Anxiety. 2015 Nov 03;32(11):811–20. doi: 10.1002/da.22397. [DOI] [PubMed] [Google Scholar]
- 160.Glassman LH, Mackintosh MA, Talkovsky A, Wells SY, Walter KH, Wickramasinghe I, Morland LA. Quality of life following treatment for PTSD: comparison of videoconferencing and in-person modalities. J Telemed Telecare. 2017 Nov 16;25(2):123–7. doi: 10.1177/1357633x17740610. [DOI] [PubMed] [Google Scholar]
- 161.Liu L, Thorp SR, Moreno L, Wells SY, Glassman LH, Busch AC, Zamora T, Rodgers CS, Allard CB, Morland LA, Agha Z. Videoconferencing psychotherapy for veterans with PTSD: results from a randomized controlled non-inferiority trial. J Telemed Telecare. 2019 Jun 19;26(9):507–19. doi: 10.1177/1357633x19853947. [DOI] [PubMed] [Google Scholar]
- 162.Maieritsch KP, Smith TL, Hessinger JD, Ahearn EP, Eickhoff JC, Zhao Q. Randomized controlled equivalence trial comparing videoconference and in person delivery of cognitive processing therapy for PTSD. J Telemed Telecare. 2016 Jun;22(4):238–43. doi: 10.1177/1357633X15596109.1357633X15596109 [DOI] [PubMed] [Google Scholar]
- 163.Morland LA, Greene CJ, Rosen CS, Foy D, Reilly P, Shore J, He Q, Frueh BC. Telemedicine for anger management therapy in a rural population of combat veterans with posttraumatic stress disorder: a randomized noninferiority trial. J Clin Psychiatry. 2010 Jul;71(7):855–63. doi: 10.4088/JCP.09m05604blu. [DOI] [PubMed] [Google Scholar]
- 164.Morland LA, Greene CJ, Grubbs K, Kloezeman K, Mackintosh MA, Rosen C, Frueh BC. Therapist adherence to manualized cognitive-behavioral therapy for anger management delivered to veterans with PTSD via videoconferencing. J Clin Psychol. 2011 Jun 25;67(6):629–38. doi: 10.1002/jclp.20779. [DOI] [PubMed] [Google Scholar]
- 165.Greene CJ, Morland LA, Macdonald A, Frueh BC, Grubbs KM, Rosen CS. How does tele-mental health affect group therapy process? Secondary analysis of a noninferiority trial. J Consult Clin Psychol. 2010 Oct;78(5):746–50. doi: 10.1037/a0020158. http://paperpile.com/b/69gCR7/nd78 .2010-19874-015 [DOI] [PubMed] [Google Scholar]
- 166.Valentine LM, Donofry SD, Broman RB, Smith ER, Rauch SA, Sexton MB. Comparing PTSD treatment retention among survivors of military sexual trauma utilizing clinical video technology and in-person approaches. J Telemed Telecare. 2019 Apr 11;26(7-8):443–51. doi: 10.1177/1357633x19832419. [DOI] [PubMed] [Google Scholar]
- 167.Kelleher SA, Winger JG, Dorfman CS, Ingle KK, Moskovich AA, Abernethy AP, Keefe FJ, Samsa GP, Kimmick GG, Somers TJ. A behavioral cancer pain intervention: a randomized noninferiority trial comparing in-person with videoconference delivery. Psychooncology. 2019 Aug 19;28(8):1671–8. doi: 10.1002/pon.5141. https://europepmc.org/abstract/MED/31162756 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Check DK, Winger JG, Jones KA, Somers TJ. Predictors of response to an evidence-based behavioral cancer pain management intervention: an exploratory analysis from a clinical trial. J Pain Symptom Manage. 2021 Aug;62(2):391–9. doi: 10.1016/j.jpainsymman.2020.12.020. https://linkinghub.elsevier.com/retrieve/pii/S0885-3924(20)30971-4 .S0885-3924(20)30971-4 [DOI] [PubMed] [Google Scholar]
- 169.Herbert MS, Afari N, Liu L, Heppner P, Rutledge T, Williams K, Eraly S, VanBuskirk K, Nguyen C, Bondi M, Atkinson JH, Golshan S, Wetherell JL. Telehealth versus in-person acceptance and commitment therapy for chronic pain: a randomized noninferiority trial. J Pain. 2017 Feb;18(2):200–11. doi: 10.1016/j.jpain.2016.10.014. https://linkinghub.elsevier.com/retrieve/pii/S1526-5900(16)30292-9 .S1526-5900(16)30292-9 [DOI] [PubMed] [Google Scholar]
- 170.Levy RL, Langer SL, van Tilburg MA, Romano JM, Murphy TB, Walker LS, Mancl LA, Claar RL, DuPen MM, Whitehead WE, Abdullah B, Swanson KS, Baker MD, Stoner SA, Christie DL, Feld AD. Brief telephone-delivered cognitive behavioral therapy targeted to parents of children with functional abdominal pain: a randomized controlled trial. Pain. 2017 Apr;158(4):618–28. doi: 10.1097/j.pain.0000000000000800. https://europepmc.org/abstract/MED/28301859 .00006396-201704000-00009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Chavooshi B, Mohammadkhani P, Dolatshahee B. Telemedicine vs. in-person delivery of intensive short-term dynamic psychotherapy for patients with medically unexplained pain: a 12-month randomized, controlled trial. J Telemed Telecare. 2016 Jul 09;23(1):133–41. doi: 10.1177/1357633x15627382. [DOI] [PubMed] [Google Scholar]
- 172.Arnedt JT, Conroy DA, Mooney A, Furgal A, Sen A, Eisenberg D. Telemedicine versus face-to-face delivery of cognitive behavioral therapy for insomnia: a randomized controlled noninferiority trial. Sleep. 2021 Jan 21;44(1):zsaa136. doi: 10.1093/sleep/zsaa136.5870824 [DOI] [PubMed] [Google Scholar]
- 173.Crow SJ, Mitchell JE, Crosby RD, Swanson SA, Wonderlich S, Lancanster K. The cost effectiveness of cognitive behavioral therapy for bulimia nervosa delivered via telemedicine versus face-to-face. Behav Res Ther. 2009 Jun;47(6):451–3. doi: 10.1016/j.brat.2009.02.006. https://europepmc.org/abstract/MED/19356743 .S0005-7967(09)00042-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Mitchell JE, Crosby RD, Wonderlich SA, Crow S, Lancaster K, Simonich H, Swan-Kremeier L, Lysne C, Myers TC. A randomized trial comparing the efficacy of cognitive-behavioral therapy for bulimia nervosa delivered via telemedicine versus face-to-face. Behav Res Ther. 2008 May;46(5):581–92. doi: 10.1016/j.brat.2008.02.004. https://europepmc.org/abstract/MED/18374304 .S0005-7967(08)00032-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Marrone S, Mitchell JE, Crosby R, Wonderlich S, Jollie-Trottier T. Predictors of response to cognitive behavioral treatment for bulimia nervosa delivered via telemedicine versus face-to-face. Int J Eat Disord. 2009 Apr 24;42(3):222–7. doi: 10.1002/eat.20603. https://europepmc.org/abstract/MED/18951452 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Ertelt TW, Crosby RD, Marino JM, Mitchell JE, Lancaster K, Crow SJ. Therapeutic factors affecting the cognitive behavioral treatment of bulimia nervosa via telemedicine versus face-to-face delivery. Int J Eat Disord. 2011 Dec 15;44(8):687–91. doi: 10.1002/eat.20874. https://europepmc.org/abstract/MED/22072405 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Zerwas SC, Watson HJ, Hofmeier SM, Levine MD, Hamer RM, Crosby RD, Runfola CD, Peat CM, Shapiro JR, Zimmer B, Moessner M, Kordy H, Marcus MD, Bulik CM. CBT4BN: a randomized controlled trial of online chat and face-to-face group therapy for bulimia nervosa. Psychother Psychosom. 2017;86(1):47–53. doi: 10.1159/000449025. https://europepmc.org/abstract/MED/27883997 .000449025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178.Watson HJ, Levine MD, Zerwas SC, Hamer RM, Crosby RD, Sprecher CS, O'Brien A, Zimmer B, Hofmeier SM, Kordy H, Moessner M, Peat CM, Runfola CD, Marcus MD, Bulik CM. Predictors of dropout in face-to-face and internet-based cognitive-behavioral therapy for bulimia nervosa in a randomized controlled trial. Int J Eat Disord. 2017 May;50(5):569–77. doi: 10.1002/eat.22644. https://europepmc.org/abstract/MED/27862108 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Watson HJ, McLagan N, Zerwas SC, Crosby RD, Levine MD, Runfola CD, Peat CM, Moessner M, Zimmer B, Hofmeier SM, Hamer RM, Marcus MD, Bulik CM, Crow SJ. Cost-effectiveness of internet-based cognitive-behavioral treatment for bulimia nervosa: results of a randomized controlled trial. J Clin Psychiatry. 2018;79(1):16m11314. doi: 10.4088/JCP.16m11314. https://europepmc.org/abstract/MED/29228517 .16m11314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Lindegaard Pedersen J, Pedersen PU, Damsgaard EM. Nutritional follow-up after discharge prevents readmission to hospital - a randomized clinical trial. J Nutr Health Aging. 2017 May 26;21(1):75–82. doi: 10.1007/s12603-016-0745-7. https://linkinghub.elsevier.com/retrieve/pii/S1279-7707(23)00455-4 .S1279-7707(23)00455-4 [DOI] [PubMed] [Google Scholar]
- 181.Lovell K, Cox D, Haddock G, Jones C, Raines D, Garvey R, Roberts C, Hadley S. Telephone administered cognitive behaviour therapy for treatment of obsessive compulsive disorder: randomised controlled non-inferiority trial. BMJ. 2006 Oct 28;333(7574):883. doi: 10.1136/bmj.38940.355602.80. https://europepmc.org/abstract/MED/16935946 .bmj.38940.355602.80 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Turner CM, Mataix-Cols D, Lovell K, Krebs G, Lang K, Byford S, Heyman I. Telephone cognitive-behavioral therapy for adolescents with obsessive-compulsive disorder: a randomized controlled non-inferiority trial. J Am Acad Child Adolesc Psychiatry. 2014 Dec;53(12):1298–307.e2. doi: 10.1016/j.jaac.2014.09.012. https://linkinghub.elsevier.com/retrieve/pii/S0890-8567(14)00664-9 .S0890-8567(14)00664-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Nair A, Turner C, Heyman I, Mataix-Cols D, Lovell K, Krebs G, Lang K, Byford S, O'Kearney R. Moderators and predictors of outcomes in telephone delivered compared to face-to-face cognitive behaviour therapy for paediatric obsessive-compulsive disorder: preliminary evidence from a non-inferiority RCT. Cogn Behav Ther. 2019 Sep 17;48(5):353–68. doi: 10.1080/16506073.2018.1513555. [DOI] [PubMed] [Google Scholar]
- 184.Tie H, Krebs G, Lang K, Shearer J, Turner C, Mataix-Cols D, Lovell K, Heyman I, Byford S. Cost-effectiveness analysis of telephone cognitive-behaviour therapy for adolescents with obsessive-compulsive disorder. BJPsych Open. 2019 Jan;5(1):e7. doi: 10.1192/bjo.2018.73. https://europepmc.org/abstract/MED/30762502 .S205647241800073X [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Watson M, White C, Lynch A, Mohammed K. Telephone-delivered individual cognitive behavioural therapy for cancer patients: an equivalence randomised trial. Psychooncology. 2017 Mar;26(3):301–8. doi: 10.1002/pon.4338. [DOI] [PubMed] [Google Scholar]
- 186.Rodrigues P, Watson M, White C, Lynch A, Mohammed K, Sagoo GS. Cost-effectiveness analysis of telephone-based cognitive behaviour therapy compared to treatment as usual CBT for cancer patients: evidence from a small, randomised controlled trial. Psychooncology. 2021 Oct;30(10):1691–8. doi: 10.1002/pon.5751. https://eprints.whiterose.ac.uk/175592/ [DOI] [PubMed] [Google Scholar]
- 187.Lleras de Frutos M, Medina JC, Vives J, Casellas-Grau A, Marzo JL, Borràs JM, Ochoa-Arnedo C. Video conference vs face-to-face group psychotherapy for distressed cancer survivors: a randomized controlled trial. Psychooncology. 2020 Dec 07;29(12):1995–2003. doi: 10.1002/pon.5457. [DOI] [PubMed] [Google Scholar]
- 188.Guzman D, Ann-Yi S, Bruera E, Wu J, Williams JL, Najera J, Raznahan M, Carmack CL. Enhancing palliative care patient access to psychological counseling through outreach telehealth services. Psychooncology. 2020 Jan 10;29(1):132–8. doi: 10.1002/pon.5270. [DOI] [PubMed] [Google Scholar]
- 189.Morgan RD, Patrick AR, Magaletta PR. Does the use of telemental health alter the treatment experience? Inmates' perceptions of telemental health versus face-to-face treatment modalities. J Consult Clin Psychol. 2008 Feb;76(1):158–62. doi: 10.1037/0022-006X.76.1.158.2008-00950-018 [DOI] [PubMed] [Google Scholar]
- 190.Ospina-Pinillos L, Davenport T, Iorfino F, Tickell A, Cross S, Scott EM, Hickie IB. Using new and innovative technologies to assess clinical stage in early intervention youth mental health services: evaluation study. J Med Internet Res. 2018 Sep 10;20(9):e259. doi: 10.2196/jmir.9966. https://www.jmir.org/2018/9/e259/ v20i9e259 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Fukkink RG, Hermanns JM. Children's experiences with chat support and telephone support. J Child Psychol Psychiatry. 2009 Jun;50(6):759–66. doi: 10.1111/j.1469-7610.2008.02024.x.JCPP2024 [DOI] [PubMed] [Google Scholar]
- 192.Fukkink R, Hermanns J. Counseling children at a helpline: chatting or calling? J Community Psychol. 2009 Oct 20;37(8):939–48. doi: 10.1002/jcop.20340. [DOI] [Google Scholar]
- 193.King R, Bambling M, Reid W, Thomas I. Telephone and online counselling for young people: a naturalistic comparison of session outcome, session impact and therapeutic alliance. Couns Psychother Res. 2007 Feb 17;6(3):175–81. doi: 10.1080/14733140600874084. [DOI] [Google Scholar]
- 194.Murphy L, Parnass P, Mitchell DL, Hallett R, Cayley P, Seagram S. Client satisfaction and outcome comparisons of online and face-to-face counselling methods. Br J Soc Work. 2009 Apr 15;39(4):627–40. doi: 10.1093/bjsw/bcp041. [DOI] [Google Scholar]
- 195.Laver K, Liu E, Clemson L, Davies O, Gray L, Gitlin LN, Crotty M. Does telehealth delivery of a dyadic dementia care program provide a noninferior alternative to face-to-face delivery of the same program? A randomized, controlled trial. Am J Geriatr Psychiatry. 2020 Jun;28(6):673–82. doi: 10.1016/j.jagp.2020.02.009. https://linkinghub.elsevier.com/retrieve/pii/S1064-7481(20)30240-2 .S1064-7481(20)30240-2 [DOI] [PubMed] [Google Scholar]
- 196.Wade SL, Cassedy AE, McNally KA, Kurowski BG, Kirkwood MW, Stancin T, Taylor HG. A randomized comparative effectiveness trial of family-problem-solving treatment for adolescent brain injury: parent outcomes from the coping with head injury through problem solving (CHIPS) study. J Head Trauma Rehabil. 2019;34(6):E1–9. doi: 10.1097/HTR.0000000000000487. [DOI] [PubMed] [Google Scholar]
- 197.Corona LL, Stainbrook JA, Simcoe K, Wagner L, Fowler B, Weitlauf AS, Juárez AP, Warren Z. Utilization of telemedicine to support caregivers of young children with ASD and their Part C service providers: a comparison of intervention outcomes across three models of service delivery. J Neurodev Disord. 2021 Sep 15;13(1):38. doi: 10.1186/s11689-021-09387-w. https://jneurodevdisorders.biomedcentral.com/articles/10.1186/s11689-021-09387-w .10.1186/s11689-021-09387-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198.Kalichman SC, Katner H, Eaton LA, Banas E, Hill M, Kalichman MO. Comparative effects of telephone versus in-office behavioral counseling to improve HIV treatment outcomes among people living with HIV in a rural setting. Transl Behav Med. 2021 Apr 07;11(3):852–62. doi: 10.1093/tbm/ibaa109. https://europepmc.org/abstract/MED/33200772 .5985300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Kalichman SC, Katner H, Eaton LA, Hill M, Ewing W, Kalichman MO. Randomized community trial comparing telephone versus clinic-based behavioral health counseling for people living with HIV in a rural setting. J Rural Health. 2022 Sep 08;38(4):728–39. doi: 10.1111/jrh.12618. [DOI] [PubMed] [Google Scholar]
- 200.Phanuphak N, Anand T, Jantarapakde J, Nitpolprasert C, Himmad K, Sungsing T, Trachunthong D, Phomthong S, Phoseeta P, Tongmuang S, Mingkwanrungruang P, Meekrua D, Sukthongsa S, Hongwiangchan S, Upanun N, Barisri J, Pankam T, Phanuphak P. What would you choose: online or offline or mixed services? Feasibility of online HIV counselling and testing among Thai men who have sex with men and transgender women and factors associated with service uptake. J Int AIDS Soc. 2018 Jul;21 Suppl 5(Suppl Suppl 5):e25118. doi: 10.1002/jia2.25118. https://europepmc.org/abstract/MED/30033644 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Delahanty LM, Chang Y, Levy DE, Porneala B, Dushkin A, Bissett L, Goldman V, Perrotta J, Rodriguez AR, Chase B, LaRocca R, Wheeler A, Wexler DJ. Design and participant characteristics of a primary care adaptation of the Look AHEAD Lifestyle Intervention for weight loss in type 2 diabetes: the REAL HEALTH-diabetes study. Contemp Clin Trials. 2018 Aug;71:9–17. doi: 10.1016/j.cct.2018.05.018. https://europepmc.org/abstract/MED/29803816 .S1551-7144(18)30140-X [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Delahanty LM, Levy DE, Chang Y, Porneala BC, Goldman V, McCarthy J, Bissett L, Rodriguez AR, Chase B, LaRocca R, Wheeler A, Wexler DJ. Effectiveness of lifestyle intervention for type 2 diabetes in primary care: the REAL HEALTH-diabetes randomized clinical trial. J Gen Intern Med. 2020 Sep 21;35(9):2637–46. doi: 10.1007/s11606-019-05629-9. https://europepmc.org/abstract/MED/31965526 .10.1007/s11606-019-05629-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Duke DC, Wagner DV, Ulrich J, Freeman KA, Harris MA. Videoconferencing for teens with diabetes: family matters. J Diabetes Sci Technol. 2016 Jul;10(4):816–23. doi: 10.1177/1932296816642577. https://europepmc.org/abstract/MED/27075708 .1932296816642577 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204.Harris MA, Freeman KA, Duke DC. Seeing is believing: using Skype to improve diabetes outcomes in youth. Diabetes Care. 2015 Aug;38(8):1427–34. doi: 10.2337/dc14-2469.dc14-2469 [DOI] [PubMed] [Google Scholar]
- 205.Riley AR, Duke DC, Freeman KA, Hood KK, Harris MA. Depressive symptoms in a trial behavioral family systems therapy for diabetes: a post hoc analysis of change. Diabetes Care. 2015 Aug;38(8):1435–40. doi: 10.2337/dc14-2519.dc14-2519 [DOI] [PubMed] [Google Scholar]
- 206.Nevanperä N, Keränen AM, Ukkola O, Laitinen J. Effects of group counseling transmitted through videoconferencing on changes in eating behaviors. J Nutr Educ Behav. 2015 Nov;47(6):555–9.e1. doi: 10.1016/j.jneb.2015.07.004.S1499-4046(15)00575-8 [DOI] [PubMed] [Google Scholar]
- 207.Harder VS, Musau AM, Musyimi CW, Ndetei DM, Mutiso VN. A randomized clinical trial of mobile phone motivational interviewing for alcohol use problems in Kenya. Addiction. 2020 Jun 03;115(6):1050–60. doi: 10.1111/add.14903. https://europepmc.org/abstract/MED/31782966 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208.Lohr PA, Aiken AR, Forsyth T, Trussell J. Telephone or integrated contraception counselling before abortion: impact on method choice and receipt. BMJ Sex Reprod Health. 2018 Apr 03;44(2):114–21. doi: 10.1136/bmjsrh-2017-101818. https://jfprhc.bmj.com/lookup/pmidlookup?view=long&pmid=29921634 .bmjsrh-2017-101818 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.James EL, Ewald BD, Johnson NA, Stacey FG, Brown WJ, Holliday EG, Jones M, Yang F, Hespe C, Plotnikoff RC. Referral for expert physical activity counseling: a pragmatic RCT. Am J Prev Med. 2017 Oct;53(4):490–9. doi: 10.1016/j.amepre.2017.06.016.S0749-3797(17)30340-9 [DOI] [PubMed] [Google Scholar]
- 210.Andrews M, Baker AL, Halpin SA, Lewin TJ, Richmond R, Kay-Lambkin FJ, Filia SL, Castle D, Williams JM, Clark V, Callister R. Early therapeutic alliance, treatment retention, and 12-month outcomes in a healthy lifestyles intervention for people with psychotic disorders. J Nerv Ment Dis. 2016 Dec;204(12):894–902. doi: 10.1097/NMD.0000000000000585. [DOI] [PubMed] [Google Scholar]
- 211.Baker AL, Richmond R, Kay-Lambkin FJ, Filia SL, Castle D, Williams JM, Lewin TJ, Clark V, Callister R, Weaver N. Randomized controlled trial of a healthy lifestyle intervention among smokers with psychotic disorders. Nicotine Tob Res. 2015 Aug 05;17(8):946–54. doi: 10.1093/ntr/ntv039.ntv039 [DOI] [PubMed] [Google Scholar]
- 212.Baker AL, Richmond R, Kay-Lambkin FJ, Filia SL, Castle D, Williams JM, Lewin TJ, Clark V, Callister R, Palazzi K. Randomised controlled trial of a healthy lifestyle intervention among smokers with psychotic disorders: outcomes to 36 months. Aust N Z J Psychiatry. 2018 Mar 14;52(3):239–52. doi: 10.1177/0004867417714336. [DOI] [PubMed] [Google Scholar]
- 213.Berndt N, Bolman C, Lechner L, Max W, Mudde A, de Vries H, Evers S. Economic evaluation of a telephone- and face-to-face-delivered counseling intervention for smoking cessation in patients with coronary heart disease. Eur J Health Econ. 2016 Apr 22;17(3):269–85. doi: 10.1007/s10198-015-0677-x.10.1007/s10198-015-0677-x [DOI] [PubMed] [Google Scholar]
- 214.Byaruhanga J, Paul CL, Wiggers J, Byrnes E, Mitchell A, Lecathelinais C, Tzelepis F. Connectivity of real-time video counselling versus telephone counselling for smoking cessation in rural and remote areas: an exploratory study. Int J Environ Res Public Health. 2020 Apr 22;17(8):2891. doi: 10.3390/ijerph17082891. https://www.mdpi.com/resolver?pii=ijerph17082891 .ijerph17082891 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215.Byaruhanga J, Wiggers J, Paul CL, Byrnes E, Mitchell A, Lecathelinais C, Tzelepis F. Acceptability of real-time video counselling compared to other behavioural interventions for smoking cessation in rural and remote areas. Drug Alcohol Depend. 2020 Dec 01;217:108296. doi: 10.1016/j.drugalcdep.2020.108296. https://europepmc.org/abstract/MED/32980788 .S0376-8716(20)30461-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216.Byaruhanga J, Paul CL, Wiggers J, Byrnes E, Mitchell A, Lecathelinais C, Bowman J, Campbell E, Gillham K, Tzelepis F. The short-term effectiveness of real-time video counselling on smoking cessation among residents in rural and remote areas: an interim analysis of a randomised trial. J Subst Abuse Treat. 2021 Dec;131:108448. doi: 10.1016/j.jsat.2021.108448.S0740-5472(21)00174-4 [DOI] [PubMed] [Google Scholar]
- 217.Carlson LE, Lounsberry JJ, Maciejewski O, Wright K, Collacutt V, Taenzer P. Telehealth-delivered group smoking cessation for rural and urban participants: feasibility and cessation rates. Addict Behav. 2012 Jan;37(1):108–14. doi: 10.1016/j.addbeh.2011.09.011.S0306-4603(11)00312-1 [DOI] [PubMed] [Google Scholar]
- 218.Nomura A, Tanigawa T, Muto T, Oga T, Fukushima Y, Kiyosue A, Miyazaki M, Hida E, Satake K. Clinical efficacy of telemedicine compared to face-to-face clinic visits for smoking cessation: multicenter open-label randomized controlled noninferiority trial. J Med Internet Res. 2019 Apr 26;21(4):e13520. doi: 10.2196/13520. https://www.jmir.org/2019/4/e13520/ v21i4e13520 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219.Richter KP, Shireman TI, Ellerbeck EF, Cupertino AP, Catley D, Cox LS, Preacher KJ, Spaulding R, Mussulman LM, Nazir N, Hunt JJ, Lambart L. Comparative and cost effectiveness of telemedicine versus telephone counseling for smoking cessation. J Med Internet Res. 2015 May 08;17(5):e113. doi: 10.2196/jmir.3975. https://www.jmir.org/2015/5/e113/ v17i5e113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Appel LJ, Clark JM, Yeh HC, Wang NY, Coughlin JW, Daumit G, Miller ER, Dalcin A, Jerome GJ, Geller S, Noronha G, Pozefsky T, Charleston J, Reynolds JB, Durkin N, Rubin RR, Louis TA, Brancati FL. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med. 2011 Nov 24;365(21):1959–68. doi: 10.1056/nejmoa1108660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221.Dalcin AT, Jerome GJ, Fitzpatrick SL, Louis TA, Wang NY, Bennett WL, Durkin N, Clark JM, Daumit GL, Appel LJ, Coughlin JW. Perceived helpfulness of the individual components of a behavioural weight loss program: results from the Hopkins POWER trial. Obes Sci Pract. 2015 Oct 09;1(1):23–32. doi: 10.1002/osp4.6. https://europepmc.org/abstract/MED/27668085 .OSP46 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Daumit GL, Janssen EM, Jerome GJ, Dalcin AT, Charleston J, Clark JM, Coughlin JW, Yeh HC, Miller ER, Durkin N, Louis TA, Frick KD, Wang NY, Appel LJ. Cost of behavioral weight loss programs implemented in clinical practice: the POWER trial at Johns Hopkins. Transl Behav Med. 2020 Feb 03;10(1):103–13. doi: 10.1093/tbm/iby120. https://europepmc.org/abstract/MED/30855082 .5373151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Befort CA, VanWormer JJ, Desouza C, Ellerbeck EF, Gajewski B, Kimminau KS, Greiner KA, Perri MG, Brown AR, Pathak RD, Huang TT, Eiland L, Drincic A. Effect of behavioral therapy with in-clinic or telephone group visits vs in-clinic individual visits on weight loss among patients with obesity in rural clinical practice: a randomized clinical trial. JAMA. 2021 Jan 26;325(4):363–72. doi: 10.1001/jama.2020.25855. https://europepmc.org/abstract/MED/33496775 .2775448 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Kurz D, McCrea-Robertson S, Nelson-Brantley H, Befort C. Rural engagement in primary care for optimizing weight reduction (REPOWER): a mixed methods study of patient perceptions. Patient Educ Couns. 2022 Jul;105(7):2371–81. doi: 10.1016/j.pec.2021.11.028.S0738-3991(21)00775-8 [DOI] [PubMed] [Google Scholar]
- 225.Fujii H, Yokoyama T, Yoshimi I, Mizushima S. A randomized controlled trial to evaluate the effects of health guidance with video call as compared to face-to-face health guidance. Int Med J. 2017;24(2):186. [Google Scholar]
- 226.Harrigan M, Cartmel B, Loftfield E, Sanft T, Chagpar AB, Zhou Y, Playdon M, Li F, Irwin ML. Randomized trial comparing telephone versus in-person weight loss counseling on body composition and circulating biomarkers in women treated for breast cancer: the lifestyle, exercise, and nutrition (LEAN) study. J Clin Oncol. 2016 Mar 01;34(7):669–76. doi: 10.1200/JCO.2015.61.6375. https://europepmc.org/abstract/MED/26598750 .JCO.2015.61.6375 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227.Harvey-Berino J. Changing health behavior via telecommunications technology: using interactive television to treat obesity. Behav Ther. 1998;29(3):505–19. doi: 10.1016/s0005-7894(98)80046-4. [DOI] [Google Scholar]
- 228.Lukenbill T, San Giovanni CB, Simpson A, Chew M, Basco W, Roberts J. Assessing anthropometric and laboratory outcomes of a paediatric telehealth weight management program. J Telemed Telecare. 2021 Feb 09;29(5):399–405. doi: 10.1177/1357633x20986022. [DOI] [PubMed] [Google Scholar]
- 229.Lutes LD, Dinatale E, Goodrich DE, Ronis DL, Gillon L, Kirsh S, Richardson CR, Damschroder LJ. A randomized trial of a small changes approach for weight loss in veterans: design, rationale, and baseline characteristics of the ASPIRE-VA trial. Contemp Clin Trials. 2013 Jan;34(1):161–72. doi: 10.1016/j.cct.2012.09.007.S1551-7144(12)00225-X [DOI] [PubMed] [Google Scholar]
- 230.Damschroder LJ, Lutes LD, Kirsh S, Kim HM, Gillon L, Holleman RG, Goodrich DE, Lowery JC, Richardson CR. Small-changes obesity treatment among veterans: 12-month outcomes. Am J Prev Med. 2014 Nov;47(5):541–53. doi: 10.1016/j.amepre.2014.06.016.S0749-3797(14)00314-6 [DOI] [PubMed] [Google Scholar]
- 231.Vimalananda V, Damschroder L, Janney CA, Goodrich D, Kim HM, Holleman R, Gillon L, Lutes L. Weight loss among women and men in the ASPIRE-VA behavioral weight loss intervention trial. Obesity (Silver Spring) 2016 Sep 04;24(9):1884–91. doi: 10.1002/oby.21574. http://hdl.handle.net/2027.42/134097 . [DOI] [PubMed] [Google Scholar]
- 232.Lutes LD, Damschroder LJ, Masheb R, Kim HM, Gillon L, Holleman RG, Goodrich DE, Lowery JC, Janney C, Kirsh S, Richardson CR. Behavioral treatment for veterans with obesity: 24-month weight outcomes from the ASPIRE-VA small changes randomized trial. J Gen Intern Med. 2017 Apr 7;32(Suppl 1):40–7. doi: 10.1007/s11606-017-3987-0. https://europepmc.org/abstract/MED/28271430 .10.1007/s11606-017-3987-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.Fernandez E, Woldgabreal Y, Day A, Pham T, Gleich B, Aboujaoude E. Live psychotherapy by video versus in-person: a meta-analysis of efficacy and its relationship to types and targets of treatment. Clin Psychol Psychother. 2021 Nov 05;28(6):1535–49. doi: 10.1002/cpp.2594. [DOI] [PubMed] [Google Scholar]
- 234.Thomas N, McDonald C, de Boer K, Brand RM, Nedeljkovic M, Seabrook L. Review of the current empirical literature on using videoconferencing to deliver individual psychotherapies to adults with mental health problems. Psychol Psychother. 2021 Sep 23;94(3):854–83. doi: 10.1111/papt.12332. https://europepmc.org/abstract/MED/33620133 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.Byaruhanga J, Atorkey P, McLaughlin M, Brown A, Byrnes E, Paul C, Wiggers J, Tzelepis F. Effectiveness of individual real-time video counseling on smoking, nutrition, alcohol, physical activity, and obesity health risks: systematic review. J Med Internet Res. 2020 Sep 11;22(9):e18621. doi: 10.2196/18621. https://www.jmir.org/2020/9/e18621/ v22i9e18621 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Irvine A, Drew P, Bower P, Brooks H, Gellatly J, Armitage CJ, Barkham M, McMillan D, Bee P. Are there interactional differences between telephone and face-to-face psychological therapy? A systematic review of comparative studies. J Affect Disord. 2020 Mar 15;265:120–31. doi: 10.1016/j.jad.2020.01.057. https://linkinghub.elsevier.com/retrieve/pii/S0165-0327(19)31974-3 .S0165-0327(19)31974-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Ho C, Severn M. e-Therapy Interventions for the Treatments of Patients with Depression: A Review of Clinical Effectiveness [Internet] Ottawa, ON: Canadian Agency for Drugs and Technologies in Health; 2018. [PubMed] [Google Scholar]
- 238.Turgoose D, Ashwick R, Murphy D. Systematic review of lessons learned from delivering tele-therapy to veterans with post-traumatic stress disorder. J Telemed Telecare. 2018 Oct;24(9):575–85. doi: 10.1177/1357633X17730443. [DOI] [PubMed] [Google Scholar]
- 239.Jobes DA, Crumlish JA, Evans AD. The COVID-19 pandemic and treating suicidal risk: the telepsychotherapy use of CAMS. J Psychother Integr. 2020 Jun;30(2):226–37. doi: 10.1037/int0000208. [DOI] [Google Scholar]
- 240.Rosen CS, Glassman LH, Morland LA. Telepsychotherapy during a pandemic: a traumatic stress perspective. J Psychother Integr. 2020 Jun;30(2):174–87. doi: 10.1037/int0000221. [DOI] [Google Scholar]
- 241.Mendenhall W, Beaver RJ, Beaver BM. Introduction to Probability and Statistics. Pacific Grove, CA: Brooks/Cole Publishing; 2009. [Google Scholar]
- 242.Singh S, Fletcher GG, Yao X, Sussman J. Virtual care in patients with cancer: a systematic review. Curr Oncol. 2021 Sep 08;28(5):3488–506. doi: 10.3390/curroncol28050301. https://www.mdpi.com/resolver?pii=curroncol28050301 .curroncol28050301 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243.Reed M, Huang J, Somers M, Hsueh L, Graetz I, Millman A, Muelly E, Gopalan A. Telemedicine versus in-person primary care: treatment and follow-up visits. Ann Intern Med. 2023 Oct;176(10):1349–57. doi: 10.7326/M23-1335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244.Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. Milbank Q. 2005 Oct 03;83(3):457–502. doi: 10.1111/j.1468-0009.2005.00409.x. https://europepmc.org/abstract/MED/16202000 .MILQ409 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245.Saultz JW, Lochner J. Interpersonal continuity of care and care outcomes: a critical review. Ann Fam Med. 2005 Mar 01;3(2):159–66. doi: 10.1370/afm.285. http://www.annfammed.org/cgi/pmidlookup?view=long&pmid=15798043 .3/2/159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246.Gellert GA, Rasławska-Socha J, Marcjasz N, Price T, Heyduk A, Mlodawska A, Kuszczyński K, Jędruch A, Orzechowski P. The role of virtual triage in improving clinician experience and satisfaction: a narrative review. Telemed Rep. 2023 Jul 01;4(1):180–91. doi: 10.1089/tmr.2023.0020. https://europepmc.org/abstract/MED/37529770 .10.1089/tmr.2023.0020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 247.Barnabe J, Petrie S, Peters P. Virtual triage and teletriage in rural Canada and Australia: A rapid review. Spatial Determinants of Health Lab Ottawa. 2020. [2024-07-29]. https://carleton.ca/determinants/wp-content/uploads/VirtualTriage.pdf .
- 248.Jonnagaddala J, Godinho MA, Liaw ST. From telehealth to virtual primary care in Australia? A rapid scoping review. Int J Med Inform. 2021 Jul;151:104470. doi: 10.1016/j.ijmedinf.2021.104470. https://europepmc.org/abstract/MED/34000481 .S1386-5056(21)00096-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249.Neves AL, Li E, Gupta PP, Fontana G, Darzi A. Virtual primary care in high-income countries during the COVID-19 pandemic: policy responses and lessons for the future. Eur J Gen Pract. 2021 Dec 25;27(1):241–7. doi: 10.1080/13814788.2021.1965120. https://www.tandfonline.com/doi/10.1080/13814788.2021.1965120?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub0pubmed . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250.Agarwal P, Wang R, Meaney C, Walji S, Damji A, Gill N, Yip G, Elman D, Florindo T, Fung S, Witty M, Pham TN, Ramji N, Kiran T. Sociodemographic differences in patient experience with primary care during COVID-19: results from a cross-sectional survey in Ontario, Canada. BMJ Open. 2022 May 09;12(5):e056868. doi: 10.1136/bmjopen-2021-056868. https://bmjopen.bmj.com/lookup/pmidlookup?view=long&pmid=35534055 .bmjopen-2021-056868 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 251.Nundy S, Cooper LA, Mate KS. The quintuple aim for health care improvement: a new imperative to advance health equity. JAMA. 2022 Feb 08;327(6):521–2. doi: 10.1001/jama.2021.25181.2788483 [DOI] [PubMed] [Google Scholar]
- 252.Segal JB, Davis S, Dukhanin V. Working framework for appropriate use of virtual care in primary care. J Am Board Fam Med. 2022 May 31;35(3):629–33. doi: 10.3122/jabfm.2022.03.210469. http://www.jabfm.org/cgi/pmidlookup?view=long&pmid=35641060 .35/3/629 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist.
Search strategy and data extraction tables.
Data Availability Statement
Data sharing is not applicable to this paper as no datasets were generated or analyzed during this study.
