Abstract
Background
Depression is a common disorder, and it creates burdens on people’s mental and physical health as well as societal costs. Although traditional in-person consultations are the usual mode of caring for patients with depression, telemedicine may be well suited to psychiatric assessment and management. Telepsychiatry can be defined as the use of information and communication technologies such as videoconferencing and telephone calls for the care of psychopathologies.
Objective
This review aims to evaluate the extent and nature of the existing literature on the use of telemedicine for the care of depression by physicians. This review also aims to examine the effects and perceptions regarding this virtual care and determine how it compares to traditional in-person care.
Methods
The Arksey and O’Malley framework and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines were followed. Relevant articles were identified through a search of three databases (MEDLINE, Cochrane Database of Systematic Reviews, and PsycArticles) on October 11, 2020. The search terms were “(virtual OR telemedicine OR teleconsultation* OR telehealth OR phone* OR webcam* OR telepsychiatry) AND (depress*)”. Eligibility criteria were applied to select studies about the use of telemedicine for the care of patients with depression specifically by physicians. An Excel file (Microsoft Corporation) was used to chart data from all included articles.
Results
The search resulted in the identification of 28 articles, and all 13 nonreview studies were analyzed in detail. Most nonreview studies were conducted in the United States during the last decade. Most telemedicine programs were led by psychiatrists, and the average study population size was 135. In all applicable studies, telepsychiatry tended to perform at least as well as in-person care regarding improvement in depression severity, patient satisfaction, quality of life, functioning, cost-effectiveness, and most other perceptions and variables. Cultural sensitivity and collaborative care were part of the design of some telemedicine programs.
Conclusions
Additional randomized, high-quality studies are recommended to evaluate various outcomes of the use of telemedicine for depression care, including depression variables, perceptions, health care outcomes and other outcomes. Studies should be conducted in various clinical contexts, including primary care. Telepsychiatry is a promising modality of care for patients suffering from depression.
Keywords: telemedicine, telepsychiatry, depression, mental health, videoconferencing
Introduction
The Burdens of Depression
Depression is a very common disorder and thus represents a heavy mental health burden. Although estimates vary widely, the lifetime and 12-month prevalence of depression may be close to 10% and 5%, respectively, and these values are higher in high-income countries [1]. Suicidal risk and ideations have a high incidence among patients with depression. Although estimates vary widely, the incidence of suicide among patients with depression may be as high as 15%, while up to 70% of patients with acute depression may experience suicidal ideas [2]. Unfortunately, depression is associated with an elevated risk of early death. This is partly due to suicidal risk but also to the heavy physical health burden of this psychopathology. Indeed, depression is a predictor of many physical diseases, including coronary artery disease, myocardial infarction, stroke, diabetes, and various cancers. Certain physical disorders also tend to be more severe among patients with depression. There is a reciprocal relationship between depression and physical pathologies. Biologically plausible mechanisms include behaviors such as smoking, drinking alcohol, obesity, low compliance with treatment regimens, and a variety of hormonal and immune dysregulations. Unsurprisingly, depression is also associated with lower perceived overall health [1]. Caring for mentally and often physically sick patients is expensive and requires resources. Thus, the health care burden of depression is heavy. The costs of this disease have been increasing in recent decades and amount to hundreds of billions of dollars in the United States [3]. Depression is highly socially burdensome in several other ways. It is associated with termination of education, lower probability of marrying, marital dissatisfaction, negative parenting behaviors, adolescent childbearing, unemployment, work disability, absenteeism, low work performance, lower personal earnings, and lower household income [1]. Approximately half of all costs associated with depression are workplace costs [3].
Approaches to Depression Care
Although traditional in-person consultations are the usual modality of caring for patients with depression, telemedicine may be well suited to psychiatric assessment and management. This modality of care may also offer many advantages, such as improving access to care in rural areas [4]. In fact, medicine as a whole is becoming increasingly digitalized as competencies required to provide health care are evolving [5]. Other components of depression care include collaborative care and culturally sensitive approaches. Collaborative care is an integrated model in which many health care professionals work together with the patient to better manage the patient’s disease in a synergic manner [6]. Cultural aspects must also be considered, as beliefs regarding depression and mood influence how patients perceive their psychological health [7].
Defining Telepsychiatry
For the scope of this review, telepsychiatry is defined as the use of information and communication technologies such as videoconferencing and telephoning for the diagnosis and management of psychopathologies. Telepsychiatry is thus a synonym of telemedicine for mental health. Psychiatrists, general practitioners, and other physicians can practice telepsychiatry. Other health care professionals, including psychologists, social workers, and nurses, can use telemedicine for mental health as well. Broader or narrower definitions of telepsychiatry could be used by other authors. Various technologies could also be included in other definitions, including artificial intelligence, augmented or virtual reality, mobile apps, and the Internet of Things. Other terms such as telemental health, e-mental health, and connected mental health could also be used to describe related concepts [8].
Goal of This Study
Telepsychiatry is a broad concept, and it has many applications. This results in heterogeneity in the literature. One key aspect of telepsychiatry is its use by physicians for various aspects of depression care, including assessment, evaluation, diagnosis, management, and follow-up. This review therefore aims to evaluate the extent and nature of the existing literature on telemedicine for the care of depression by physicians. This review also aims to examine the effects and perceptions of virtual care and how it compares to traditional in-person care.
Methods
Theoretical Framework
This scoping review was conducted by following the Arksey and O’Malley framework as well as the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The five methodological stages were the identification of the research question, the identification of relevant articles, the study selection, the data extraction, and the collating, summarizing, and reporting of the results [9].
Identification of the Research Question
As described above, this review’s main objectives are to map the literature on telemedicine in the diagnosis and management of depression by physicians and to examine the effects of telemedicine and how it is perceived. In other words, this review examines the virtual care of patients with depression by physicians. The identification of this research question is closely related to the burdens of depression and the potential of innovative psychiatric care.
Identification of Relevant Articles
A systematic literature search was performed in MEDLINE, Cochrane Database of Systematic Reviews and PsycARTICLES. These databases were chosen based on their relevance and specificity for peer-reviewed articles on medical and psychiatric topics. No search for gray literature was performed because the scope of this review did not extend to articles that had not been peer-reviewed. The list of keywords used was developed through a preliminary search on PubMed, and the keywords were selected based on their sensitivity and specificity for relevant articles. The search terms used for the database searches in this review are listed in Textbox 1. The literature search was performed on October 11, 2020, and it yielded 4782 articles.
Search string with the keywords used for the database searches.
(virtual OR telemedicine OR teleconsultation* OR telehealth OR phone* OR webcam* OR telepsychiatry) AND (depress*)
Study Selection
Following removal of all 532 duplicates, the remaining 4250 articles were screened based on the eligibility criteria detailed in Textbox 2. Articles were initially screened based on their title and abstract, and full text articles were obtained when more information was needed for screening. The final count of studies included in this review is 28.
Eligibility criteria for study selection.
Inclusion criteria
Directly related to telemedicine
Directly related to the evaluation or treatment of depression
Care provided by physicians (eg, general practitioners, psychiatrists)
Exclusion criteria
Mobile health apps as the primary focus
Texting and emails as the primary focus
Psychotherapy as the main intervention (eg, articles about web-based cognitive behavioral therapy)
Psychotherapy or care provided by health care professionals other than physicians
Depressive symptomatology from bipolar disorder, anxiety disorder, or schizoaffective disorder
Depressive symptomatology as an outcome of telemedicine for diseases other than depression (eg, multiple sclerosis, heart failure, cognitive impairment)
Data from patients with depression mixed with data of patients without depression (eg, telepsychiatry in general, anxiety and depression)
Not peer-reviewed
Published research protocols that had not yet been completed
Conference proceedings
Supported neither by empirical data nor by a formal literature review (eg, editorials)
Published in a language other than English or French
Full article could not be obtained
Data Extraction
An Excel file (Microsoft Corporation) was used to chart the data from all included articles. Throughout the charting process, the extraction grid was iteratively revised to refine its components.
Collating, Summarizing, and Reporting the Results
Results regarding the study characteristics for both the included review and nonreview articles are reported below. However, analysis of the outcomes and results of the included articles was limited to nonreview articles because the included reviews had high heterogeneity and their aims tended to differ significantly from the scope of this scoping review. In-depth analysis of outcomes and results was also limited to the scope of this review. Tables were used to report relevant data comprehensively. Figures were produced using Excel.
Results
Selection Process
A total of 28 articles were included in this review. The study selection process is detailed in Figure 1 [10-37].
Figure 1.
Study selection flow diagram.
Characteristics of the Included Articles
Although all the articles were published in peer-reviewed journals, an absence of conflicts of interest was clearly and explicitly declared in only a small majority (17/28).
All included papers were published between 1998 and 2020. The great majority had been published since 2010 (24/28), and more than half had been published since 2015 (17/28). The publication years of the papers are illustrated in Figure 2.
Figure 2.
Histogram of the numbers of review and nonreview articles published per year.
A total of 13 studies were conducted using a nonreview methodology, while 15 articles were reviews. Most nonreview studies (9/13) compared a virtual intervention group and a nonvirtual group, and almost all of these comparative studies (8/9) included a randomization process.
Most nonreview studies were conducted in the United States. Locations represented in nonreview articles are displayed in Table 1. Another notable characteristic of the populations of these studies was their size, which ranged from 1 to 309 patients. The average study population size was 135 patients. The intervention in almost all these studies included a psychiatrist (12/13) instead of a primary care provider or as well as one. Collaborative care was part of most interventions (7/13). A nonvirtual comparison group was included in nine studies. Characteristics of the populations, virtual interventions, and nonvirtual comparisons of the nonreview studies are detailed further in Table 2 [10-22].
Table 1.
Study locations with the associated numbers of nonreview articles (n=13).
| Location |
Nonreview articles, n (%) |
| United States | 10 (76.9) |
| Europe | 1 (7.7) |
| Brazil | 1 (7.7) |
| Columbia | 1 (7.7) |
Table 2.
Population, virtual intervention, nonvirtual comparison, outcomes and results relevant to the scope of this review for the included nonreview articles.
| Authors (year) | Population | Intervention (virtual) | Comparison (nonvirtual) | Outcomes and results |
| Amirsadri et al (2017) [15] | 1 patient; United States; comorbid schizophrenia | Videoconferencing with a telepsychiatrist; home visits by a social worker and a nurse | None |
|
| Barrera-Valencia et al (2017) [12] |
106 patients; Colombia; inmates | 2 interventions: asynchronous care by the telepsychiatrist, who receives clinical information from the general practitioner’s evaluation; synchronous care by the telepsychiatrist through videoconferencing | None |
|
| Choi Yoo et al (2014) [11] | 309 patients; United States; patients with cancer | INCPADa trial; centralized telecare management; automated home-based symptom monitoring; collaborative care by an oncologist, a nurse depression-pain care manager, and a supervising psychiatrist | Treatment as usual; screening results provided to their oncologist |
|
| Chong and Moreno (2012) [13] | 167 patients; United States; Hispanic participants; low-income, uninsured, and underinsured | Videoconferencing with a telepsychiatrist | Treatment as usual; primary care setting |
|
| Christensen et al (2020) [22] | 199 patients; 11 European countries; mild to moderate depression. | MasterMind program; videoconferencing facilitating collaborative care interventions; telepsychiatrists, general practitioners, and other health care professionals | None |
|
| Emery-Tiburcio et al (2017) [16] | 131 patients; United States; aged ≥60 years | BRIGHTENe program; telepsychiatrists and other health care professionals | None |
|
| Hilty et al (2007) [10] | 121 patients; United States; rural | Intensive disease management module; videoconferencing with a telepsychiatrist; training for the primary care physician | Usual care; disease management module |
|
| Hungerbuehler et al (2016) [14] | 107 patients; Brazil; 3 hours of mean traveling time to psychiatric hospital | Videoconferencing with a telepsychiatrist; significantly higher baseline depression severity | Treatment as usual; in-person consultations with a psychiatrist |
|
| Moreno et al (2012) [20] | 167 patients; United States; Hispanic | Videoconferencing with a telepsychiatrist | Treatment as usual; community health center |
|
| Norden et al (2020) [21] | 114 visits; United States; Stanford’s Accountable Care Organization’s patient population (younger, healthier, more tech-savvy) | Stanford ClickWell Care, a novel virtual primary care clinic; videoconferencing or telephone visits with a primary care provider | In-person visits at the Stanford ClickWell Care clinic with a primary care provider |
|
| Ruskin et al (1998) [17] | 30 patients; United States; psychiatric inpatients | 1 in-person consultation with a psychiatrist; 1 videoconferencing consultation with a telepsychiatrist | 2 in-person consultations with a psychiatrist |
|
| Ruskin et al (2004) [19] | 119 patients; United States; veterans | Videoconferencing with a telepsychiatrist | In-person consultations with a psychiatrist |
|
| Yeung et al (2016) [18] | 190 patients; United States; monolingual Chinese American immigrants | T-CSCTg; T-CSCT involving culturally sensitive psychiatric assessment, and collaborative care; videoconferencing with a bilingual telepsychiatrist; primary care provider, bilingual telepsychiatrist, and bilingual care manager | Treatment as usual; in-person consultations with a primary care provider; a single videoconferencing evaluation with a telepsychiatrist; treatment recommendations from the telepsychiatrist |
|
aINCPAD: Indiana Cancer Pain and Depression.
bDFD: depression-free day.
cQALY: quality-adjusted life year.
dAll monetary values are reported in US dollars.
eBRIGHTEN: Bridging Resources of an Interdisciplinary Geriatric Health Team via Electronic Networking.
fDSM-III-R: Diagnostic and Statistical Manual of Mental Disorders (Third Edition, Revised).
gT-CSCT: Telepsychiatry-based culturally sensitive collaborative treatment.
Main Results for Nonreview Articles
Of the 13 nonreview papers, 11 included results regarding depression variables, 8 included results with regard to perceptions, and 11 included results regarding other variables. Outcomes and results relevant to the scope of this review for the included nonreview articles are detailed in Table 2 [10-22].
Regarding depression outcomes and variables, all 11 studies resulted in improvement in depression with the use of virtual care, and studies that compared the virtual intervention group with a nonvirtual comparison group either obtained equivalent improvement or better results with virtual care. Studied depression outcomes and variables include depression severity, severity improvement rate, depression-free days (DFDs), response rate, remission rate, treatment aspects such as adherence, and depression interrater reliability for diagnosis.
Perceptions regarding virtual care were favorable to virtual care or equivalent to in-person care according to almost every metric studied. Examined perceptions include patient satisfaction, caregiver satisfaction, psychiatrist satisfaction, working alliance, need for time to adapt, willingness to pay for mental health services, and care preferences.
Other variables were significantly improved with virtual care. Studied variables included quality of life, quality-adjusted life years (QALYs), functioning, appointment keeping, number of visits, number of complementary tests ordered, physical health, and comorbid somatization, phobia, and anxiety.
It was also proven that telepsychiatry can be more cost-effective than in-person psychiatry. Examined costs and related variables include consultation time, consultation cost, cost-effectiveness, per-session costs, physician time cost, nurse care manager cost, system cost, system maintenance costs, cost per DFD or QALY, and post–start-up incremental cost per DFD or QALY gained.
Discussion
Overview of the Literature
This review aimed to map the literature on use of telepsychiatry to treat depression by physicians as well as to examine the effects and perceptions regarding telepsychiatry and how it compares to traditional in-person care. A total of 28 articles were included [10-37], and all 13 nonreview articles were analyzed further [10-22]. The generalizability of the findings may be modulated by the fact that most studies were recent, but it may be limited for primary care populations and countries other than the United States. Although quality appraisal of the studies was not part of the methodology of this study, bias risk may be modulated by the high proportion of randomized studies, the low proportion of clear and explicit declared absence of conflicts of interest, and the average study size, which may arguably be considered sufficiently small or large. The analyzed articles contained measured outcomes related to depression variables, perceptions, and other variables. All applicable studies resulted in improvement in depression with the use of telepsychiatry, which was always measured to be equivalent or better for virtual care compared with in-person psychiatry. Patient satisfaction and other perceptions were examined, and telepsychiatry again performed at least as well as in-person care according to almost every metric studied. Quality of life, functioning, and similar variables were significantly improved with virtual care. Telepsychiatry also tended to perform better than in-person care. Cultural sensitivity and collaborative care were also part of some studied telemedicine programs.
Gaps in the Literature
Additional research should be conducted on themes already covered in the articles included in this review. These themes include depression outcomes, perceptions such as patient satisfaction, cost-efficiency, and other outcomes. However, stakeholders would benefit from larger study populations, more studies conducted outside the United States, and more studies about general practitioners, as well as fewer potential conflicts of interest and more transparency.
Research should also be conducted on aspects of telepsychiatric care of patients with depression that are not covered as extensively in the included articles. These aspects include effects on suicide risk, suicidal ideation incidence, evolution of comorbid diseases, health behaviors, societal productivity, work productivity and absenteeism, personal and household income, marital outcomes, and parenthood outcomes, as well as the well-being of caregivers and relatives. Many perceptions could be studied, including those of patients, physicians, health care professionals, caregivers, and relatives. Studies should also be conducted regarding medical student training in telepsychiatry [5].
Research themes could be explored through various methodologies, including systematic reviews and randomized clinical trials.
Limitations
The results of this review are subject to limitations. As definitions of telepsychiatry may differ, the scope of this review might also be considered too narrow in various ways, such as its focus on physicians, its exclusion of psychotherapy as the main intervention, its exclusion of patients with anxiety disorders, and other eligibility criteria that may be considered limited or firm. The chosen search terms may have further influenced the identification of relevant articles in this direction or may have hindered the identification of relevant articles such as studies about telephone medicine, asynchronous telemedicine, pediatricians, or special patient populations. The selected databases may have also influenced the results of this review; however, this decision was supported by the characteristics of the selected databases as well as the preliminary search. Arguably, other databases could have been considered. Similarly, not searching the gray literature may have influenced the results; however, it was decided that this review would be limited to peer-reviewed articles. Backward and forward reference searching has not been conducted. Including other professions may have better covered some research themes, such as quality of work life, quality of personal life, health behaviors, and other aspects. Some may also disapprove of the use of the PRISMA-ScR guidelines or the Arksey and O’Malley framework [9]. The choice to include a case study may be criticized, as the study population consists of only 1 patient [15]. Finally, the generalizability of the findings may be limited for certain locations, medical specialties, patient subsets, and other clinical environment characteristics not represented among the included articles.
Conclusions
This review examines the literature on telemedicine in the care of depression by physicians, as well as its related effects and perceptions. More research is recommended to fully understand the current and potential roles of telepsychiatry when used by physicians caring for patients with depression. This research should examine various outcomes, including depression variables such as symptom severity and suicidal risk, perceptions such as stakeholder satisfaction and working alliance, health care outcomes such as cost-effectiveness, and other outcomes such as quality of life and work productivity. Studies should be conducted in various clinical contexts, such as urban or rural primary care, and in developing countries.
This review suggests that telemedicine tends to be at least as effective for depression care compared with in-person care, and it may be more cost-effective. Patient satisfaction tends to be high and perceptions tend to be favorable.
As depression is a highly prevalent and burdensome disease, its toll on patients’ mental and physical health as well as its health care burden can probably be reduced by improving and implementing virtual psychiatric care of depression by physicians.
Acknowledgments
The author personally conducted and funded the whole review. The author acknowledges having had many enriching discussions about virtual psychiatric care of patients with depression with the resident and attending physicians from the Groupe de médecine de famille universitaire (GMF-U) du Marigot clinic. He also acknowledges discussing the identification of the research question with the scientific affairs team at the GMF-U du Marigot clinic.
Abbreviations
- DFD
depression-free day
- GMF-U
groupe de médecine de famille universitaire (university family medicine group)
- PRISMA-ScR
Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews
- QALY
quality-adjusted life year
Footnotes
Conflicts of Interest: None declared.
References
- 1.Kessler RC. The costs of depression. Psychiatr Clin North Am. 2012 Mar;35(1):1–14. doi: 10.1016/j.psc.2011.11.005. http://europepmc.org/abstract/MED/22370487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Möller HJ. Suicide, suicidality and suicide prevention in affective disorders. Acta Psychiatr Scand Suppl. 2003;(418):73–80. [PubMed] [Google Scholar]
- 3.Greenberg PE, Fournier A, Sisitsky T, Pike CT, Kessler RC. The economic burden of adults with major depressive disorder in the United States (2005 and 2010) J Clin Psychiatry. 2015 Feb;76(2):155–62. doi: 10.4088/JCP.14m09298. http://www.psychiatrist.com/jcp/article/Pages/2015/v76n02/v76n0204.aspx. [DOI] [PubMed] [Google Scholar]
- 4.Guaiana G, Mastrangelo J, Hendrikx S, Barbui C. A systematic review of the use of telepsychiatry in depression. Community Ment Health J. 2021 Jan;57(1):93–100. doi: 10.1007/s10597-020-00724-2. doi: 10.1007/s10597-020-00724-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Echelard J, Méthot François, Nguyen H, Pomey M. Medical student training in eHealth: scoping review. JMIR Med Educ. 2020 Sep 11;6(2):e20027. doi: 10.2196/20027. https://mededu.jmir.org/2020/2/e20027/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Unützer J, Katon W, Callahan CM, Williams JW, Hunkeler E, Harpole L, Hoffing M, Della PRD, Noël PH, Lin EHB, Areán PA, Hegel MT, Tang L, Belin TR, Oishi S, Langston C. Collaborative care management of late-life depression in the primary care setting: a randomized controlled trial. JAMA. 2002 Dec 11;288(22):2836–45. doi: 10.1001/jama.288.22.2836. [DOI] [PubMed] [Google Scholar]
- 7.Yeung A, Chang D, Gresham RL, Nierenberg AA, Fava M. Illness beliefs of depressed Chinese American patients in primary care. J Nerv Ment Dis. 2004 Apr;192(4):324–7. doi: 10.1097/01.nmd.0000120892.96624.00. [DOI] [PubMed] [Google Scholar]
- 8.Drissi N, Ouhbi S, Janati Idrissi MA, Fernandez-Luque L, Ghogho M. Connected mental health: systematic mapping study. J Med Internet Res. 2020 Aug 28;22(8):e19950. doi: 10.2196/19950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.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. http://www.implementationscience.com/content/5//69. [DOI] [Google Scholar]
- 10.Hilty DM, Marks S, Wegelin J, Callahan EJ, Nesbitt TS. A randomized, controlled trial of disease management modules, including telepsychiatric care, for depression in rural primary care. Psychiatry (Edgmont) 2007 Feb;4(2):58–65. http://europepmc.org/abstract/MED/20805900. [PMC free article] [PubMed] [Google Scholar]
- 11.Choi Yoo SJ, Nyman JA, Cheville AL, Kroenke K. Cost effectiveness of telecare management for pain and depression in patients with cancer: results from a randomized trial. Gen Hosp Psychiatry. 2014;36(6):599–606. doi: 10.1016/j.genhosppsych.2014.07.004. https://linkinghub.elsevier.com/retrieve/pii/S0163-8343(14)00173-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Barrera-Valencia C, Benito-Devia AV, Vélez-Álvarez C, Figueroa-Barrera M, Franco-Idárraga SM. Cost-effectiveness of synchronous vs. asynchronous telepsychiatry in prison inmates with depression. Article in Spanish. Rev Colomb Psiquiatr. 2017;46(2):65–73. doi: 10.1016/j.rcp.2016.04.008. [DOI] [PubMed] [Google Scholar]
- 13.Chong J, Moreno F. Feasibility and acceptability of clinic-based telepsychiatry for low-income Hispanic primary care patients. Telemed J E Health. 2012 May;18(4):297–304. doi: 10.1089/tmj.2011.0126. [DOI] [PubMed] [Google Scholar]
- 14.Hungerbuehler I, Valiengo L, Loch AA, Rössler Wulf, Gattaz WF. Home-based psychiatric outpatient care through videoconferencing for depression: a randomized controlled follow-up trial. JMIR Ment Health. 2016 Aug 03;3(3):e36. doi: 10.2196/mental.5675. https://mental.jmir.org/2016/3/e36/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Amirsadri A, Burns J, Pizzuti A, Arfken CL. Home-based telepsychiatry in US urban area. Case Rep Psychiatry. 2017;2017:6296423. doi: 10.1155/2017/6296423. doi: 10.1155/2017/6296423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Emery-Tiburcio EE, Mack L, Lattie EG, Lusarreta M, Marquine M, Vail M, Golden R. Managing depression among diverse older adults in primary care: the BRIGHTEN program. Clin Gerontol. 2017;40(2):88–96. doi: 10.1080/07317115.2016.1224785. doi: 10.1080/07317115.2016.1224785. [DOI] [PubMed] [Google Scholar]
- 17.Ruskin PE, Reed S, Kumar R, Kling MA, Siegel E, Rosen M, Hauser P. Reliability and acceptability of psychiatric diagnosis via telecommunication and audiovisual technology. Psychiatr Serv. 1998 Aug;49(8):1086–8. doi: 10.1176/ps.49.8.1086. [DOI] [PubMed] [Google Scholar]
- 18.Yeung A, Martinson MA, Baer L, Chen J, Clain A, Williams A, Chang TE, Trinh NT, Alpert JE, Fava M. The effectiveness of telepsychiatry-based culturally sensitive collaborative treatment for depressed Chinese American immigrants: a randomized controlled trial. J Clin Psychiatry. 2016 Aug;77(8):e996–e1002. doi: 10.4088/JCP.15m09952. [DOI] [PubMed] [Google Scholar]
- 19.Ruskin PE, Silver-Aylaian M, Kling MA, Reed SA, Bradham DD, Hebel JR, Barrett D, Knowles F, Hauser P. Treatment outcomes in depression: comparison of remote treatment through telepsychiatry to in-person treatment. Am J Psychiatry. 2004 Aug;161(8):1471–6. doi: 10.1176/appi.ajp.161.8.1471. [DOI] [PubMed] [Google Scholar]
- 20.Moreno FA, Chong J, Dumbauld J, Humke M, Byreddy S. Use of standard Webcam and Internet equipment for telepsychiatry treatment of depression among underserved Hispanics. Psychiatr Serv. 2012 Dec;63(12):1213–7. doi: 10.1176/appi.ps.201100274. [DOI] [PubMed] [Google Scholar]
- 21.Norden JG, Wang JX, Desai SA, Cheung L. Utilizing a novel unified healthcare model to compare practice patterns between telemedicine and in-person visits. Digit Health. 2020;6:2055207620958528. doi: 10.1177/2055207620958528. https://journals.sagepub.com/doi/10.1177/2055207620958528?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Christensen LF, Gildberg FA, Sibbersen C, Skjoeth MM, Nielsen CT, Hansen JP. Videoconferences and treatment of depression: satisfaction score correlated with number of sessions attended but not with age. Telemed J E Health. 2020 Jul;26(7):898–904. doi: 10.1089/tmj.2019.0129. [DOI] [PubMed] [Google Scholar]
- 23.Dorstyn DS, Saniotis A, Sobhanian F. A systematic review of telecounselling and its effectiveness in managing depression amongst minority ethnic communities. J Telemed Telecare. 2013 Sep;19(6):338–46. doi: 10.1177/1357633X13501767. [DOI] [PubMed] [Google Scholar]
- 24.Hilty DM, Rabinowitz T, McCarron RM, Katzelnick DJ, Chang T, Bauer AM, Fortney J. An update on telepsychiatry and how it can leverage collaborative, stepped, and integrated services to primary care. Psychosomatics. 2018;59(3):227–250. doi: 10.1016/j.psym.2017.12.005. [DOI] [PubMed] [Google Scholar]
- 25.Kaonga NN, Morgan J. Common themes and emerging trends for the use of technology to support mental health and psychosocial well-being in limited resource settings: A review of the literature. Psychiatry Res. 2019 Nov;281:112594. doi: 10.1016/j.psychres.2019.112594. [DOI] [PubMed] [Google Scholar]
- 26.Naslund JA, Mitchell LM, Joshi U, Nagda D, Lu C. Economic evaluation and costs of telepsychiatry programmes: A systematic review. J Telemed Telecare. 2020 Aug 03;:1357633X20938919. doi: 10.1177/1357633X20938919. doi: 10.1177/1357633X20938919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Olden M, Cukor J, Rizzo AS, Rothbaum B, Difede J. House calls revisited: leveraging technology to overcome obstacles to veteran psychiatric care and improve treatment outcomes. Ann N Y Acad Sci. 2010 Oct;1208:133–41. doi: 10.1111/j.1749-6632.2010.05756.x. doi: 10.1111/j.1749-6632.2010.05756.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Jiménez-Molina Álvaro, Franco P, Martínez Vania, Martínez Pablo, Rojas G, Araya R. Internet-based interventions for the prevention and treatment of mental disorders in Latin America: a scoping review. Front Psychiatry. 2019;10:664. doi: 10.3389/fpsyt.2019.00664. doi: 10.3389/fpsyt.2019.00664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Fletcher TL, Hogan JB, Keegan F, Davis ML, Wassef M, Day S, Lindsay JA. Recent advances in delivering mental health treatment via video to home. Curr Psychiatry Rep. 2018 Jul 21;20(8):56. doi: 10.1007/s11920-018-0922-y. [DOI] [PubMed] [Google Scholar]
- 30.Hubley S, Lynch SB, Schneck C, Thomas M, Shore J. Review of key telepsychiatry outcomes. World J Psychiatry. 2016 Jun 22;6(2):269–82. doi: 10.5498/wjp.v6.i2.269. https://www.wjgnet.com/2220-3206/full/v6/i2/269.htm. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lopez A, Schwenk S, Schneck CD, Griffin RJ, Mishkind MC. Technology-based mental health treatment and the impact on the therapeutic alliance. Curr Psychiatry Rep. 2019 Jul 08;21(8):76. doi: 10.1007/s11920-019-1055-7. [DOI] [PubMed] [Google Scholar]
- 32.García-Lizana F, Muñoz-Mayorga I. Telemedicine for depression: a systematic review. Perspect Psychiatr Care. 2010 Apr;46(2):119–26. doi: 10.1111/j.1744-6163.2010.00247.x. doi: 10.1111/j.1744-6163.2010.00247.x. [DOI] [PubMed] [Google Scholar]
- 33.Chan S, Parish M, Yellowlees P. Telepsychiatry today. Curr Psychiatry Rep. 2015 Nov;17(11):89. doi: 10.1007/s11920-015-0630-9. [DOI] [PubMed] [Google Scholar]
- 34.Massoudi B, Holvast F, Bockting CLH, Burger H, Blanker MH. The effectiveness and cost-effectiveness of e-health interventions for depression and anxiety in primary care: a systematic review and meta-analysis. J Affect Disord. 2019 Feb 15;245:728–743. doi: 10.1016/j.jad.2018.11.050. [DOI] [PubMed] [Google Scholar]
- 35.Hailey D, Roine R, Ohinmaa A. The effectiveness of telemental health applications: a review. Can J Psychiatry. 2008 Nov;53(11):769–78. doi: 10.1177/070674370805301109. doi: 10.1177/070674370805301109. [DOI] [PubMed] [Google Scholar]
- 36.Chakrabarti S. Usefulness of telepsychiatry: a critical evaluation of videoconferencing-based approaches. World J Psychiatry. 2015 Sep 22;5(3):286–304. doi: 10.5498/wjp.v5.i3.286. https://www.wjgnet.com/2220-3206/full/v5/i3/286.htm. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Boydell KM, Hodgins M, Pignatiello A, Teshima J, Edwards H, Willis D. Using technology to deliver mental health services to children and youth: a scoping review. J Can Acad Child Adolesc Psychiatry. 2014 May;23(2):87–99. http://europepmc.org/abstract/MED/24872824. [PMC free article] [PubMed] [Google Scholar]