|
Author Year
Country |
Aim |
Study Design
Sample Size, Age |
Context and Setting
Study Timeframe |
Data Source |
Data Collection
Data Analysis |
Results |
| Akhtar et al. (2021) [38] India | To describe the hospital experience during the first 6 months of the COVID-19 pandemic including the functioning of the department, clinical outcomes, problems faced by patients, and lessons learned | Retrospective N = 1 institution NA |
Hospital COVID-19 period: April to Sept 2020. Pre-COVID-19 period: April to Sept, 2019. |
Secondary data; hospital record database Primary data; questionnaire |
|
|
| Akuamoa-Boateng et al. (2020) [33] Germany | To compare hospital management of 2019 and 2020 |
Retrospective N = 1 institution NA |
Hospital Pre-COVID-19: 18/03/19–10/05/19 COVID-19 period: 16/03/20–8/05/20 |
Secondary data; hospital records |
|
|
| Alterio et al. (2020) [34] Italy | To report organisation strategies at a radiation oncology department, focusing on procedures and scheduling (i.e.: delays, interruptions) | Retrospective N = 1 institution N = 43 patients 57–74 years |
Hospital Pre-COVID-19: 01/03 to 30/04/19 COVID-19 period: 01/03 to 30/04/20 |
Secondary data; Electronic medical charts |
|
|
| Araujo et al. (2020) [56] Latin America | To evaluate the impact of COVID-19 pandemic on patient volume in a cancer centre in an epidemic of the pandemic | Provider Retrospective N = 1 institution NA | Hospital Pre-COVID-19: Mar–May 2019 COVID-19 period: Mar–May 2020 |
Secondary data; electronic health record database |
|
|
| Atreya et al. (2020) [50] India | (1) To assess changes in the hospital-based practice of palliative care during the pandemic (2) Patient/caregivers perception about the provision of palliative telehealth services (which were in place since 2014) |
Patient & caregivers Cross-sectional N = 50 >18 years old |
Hospital 01/01–19/05/20 |
Primary data; interview Secondary data; electronic medical records |
|
|
| Biswas et al. (2020) [51] India | (1) To assess expansion of telemedicine service in the palliative unit in the department of oncology (2) To assess patient satisfaction |
Patient Prospective N = 314 Adults |
Hospital 25/03/–13/05/20 |
Primary data; Telephone calls | Telephone calls were recorded to collect data on:
|
|
| Brenes Sanchez et al. (2021) [39] Spain | To analyse the management of patients with breast cancer during the pandemic | Patients Retrospective observational N = 57 patients NA |
Hospital Group A: 15/03/20–21/04/20 Group B: 22/04/20–06/05/20 |
Primary data; questionnaire Secondary data; hospital data | Telephone questionnaire using:
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|
| Caravatta et al. (2020) [35] Italy | To report the experience and organisational planning of radiotherapy during the first two phases of the emergency, lockdown phase 1 and post-lockdown phase II | Retrospective N = 1 institution NA |
Hospital Pre-COVID-19: 09/03–04/05/19 COVID-19 period: 09/03–04/05/20 Lockdown I: 09/03 –04/05/20 Lockdown II: 25–31/05/20 |
Secondary data; hospital records |
|
|
| Clark et al. (2021) [48] England | To assess the national impact of COVID-19 on the prescribing of systemic anti-cancer treatment | Retrospective NA NA |
Hospital Pre-COVID-19: September, 2019, to February, 2020. COVID-19 period: April–June, 2020 |
Secondary data; electronic health registry system |
|
Uptake of teleconsultations at national level. Initially the number of registrations of new systemic anti-cancer treatments decreased but average monthly registrations had exceeded pre-pandemic levels by June, 2020, due to other risk-reducing measures such as telephone consultations, facemasks, and physical distancing. |
| De Marinis et al. (2020) [36] Italy | To prove that such proactive management allowed for the minimisation of contagion among patients with lung cancer through the maximisation of preventive measures | Patient and provider Prospective N = 1 institution N = 477 patients, 23–89 years old |
Hospital 1 month; March 2020 |
Secondary data; hospital records |
|
|
| Earp et al. (2020) [40] USA | Examine the early effect of hospital and state-mandated restrictions on orthopaedic surgery department | Retrospective N = 1 institution NA |
Hospital COVID-19 period: 16/03–12/04/20 Study period: 14/02/–15/03/20 Control period: 16/03–12/04/19 |
Secondary data; Billing database |
|
Surgical department:
|
| Frey et al. (2020) [62] USA | (1) To evaluate the quality of life (QoL) of women with ovarian cancer during the pandemic (2) Evaluate the effects of the pandemic on cancer-related treatment. |
Cross-sectional N = 555 20–85 years old |
Web-based 30/03–13/04/20 |
Primary data; survey |
|
|
| Goenka et al. (2021) [31] USA | Review implementation (1) Patient access to care (2) Billing implication |
Provider Observational N = 1 institution 22–93 years old |
Hospital 01/01–01/05/20 |
Secondary data; hospital data |
|
|
| Kamposioras et al. (2020) [59] England | (1) To investigate the perceptions of service changes imposed by the COVID-19 pandemic. (2) To identify the determinant of anxiety in patients with colorectal cancer |
Patient Cross-sectional N = 143 ≥18 years |
Hospital 18/05–01/07/20 |
Primary data; survey |
|
|
| Kotsen et al. (2021) [42] USA | To examine the effect of rapid scaling to tobacco treatment telehealth for tobacco-dependent cancer patient | Patient and provider Retrospective N = 418 Adults |
Hospital: 01/01–30/04/20 |
Secondary data; electronic medical records |
|
|
| Kwek et al. (2021) [47] Singapore | To describe outpatient attendance and treatment caseloads during COVID-19 compared with the corresponding period pre-COVID-19. | Retrospective N = 1 institution NA |
Hospital COVID-19 period 03/02–23/05/20 Pre-COVID-19 period 03/02–23/05/19 |
Secondary data; health records |
|
|
| Lonergan et al. (2020) [15] USA | To analyse the change in video visit volume | Provider Cross-sectional N = 17 departments NA |
Hospital Pre-COVID period: 01/01–14/03/20 Post-COVID-19 period: 15/03– 05/04/20 |
Secondary data; electronic medical records |
|
|
| Lopez et al. (2021) [49] Canada | To describe the adaptions made to implement virtual cancer rehabilitation at the onset of coronavirus disease 2019 | Multi-method N = 12 patients, N = 12 providers Adults |
Hospital 16/03–12/06/20 |
Primary data; interviews Secondary data; hospital data |
|
Re: Meeting support needs: sense of reassurance and felt supported, helped cope with worries, some felt isolated by telemedicine. Re: Confidence with assessment and care plan: lack of in-person examination, relying on self-report/assessment of patients, worried about accuracy of describing symptoms, agreed video better than telephone visits, both agreed preference for an initial in-person assessment |
| Maganty, et al. (2020) [30] USA | To evaluate differences in patient populations being evaluated for cancer before and during the COVID-19 pandemic | Retrospective N = 1 institution NA |
Hospital Pre-COVID-19 period: 3–5 months prior to 17/03/20 COVID-19 period: 3 to 5 months after 17/03/20 |
Secondary data; electronic health records |
|
|
| Mahl et al. (2020) [63] Brazil | To evaluate delays in care for patients with head and neck cancer (HNC) in post-treatment follow-up or palliative care during the COVID-19 pandemic, i.e.: self-perception of anxiety or sadness, fear of COVID-19 infection, cancer-related complications during social isolation, self-medication, diagnosis of COVID-19, and death between patients with and without delayed cancer care | Cross-sectional N = 1 institution N = 31 patients Adults |
Hospital 01/01/–30/07/20 |
Primary data; interview Secondary data; medical records |
|
|
| Merz et al. (2021) [43] Italy | To assess how breast cancer survivors perceived electronic medical record-assisted telephone follow-up | Prospective N = 137 34–89 years old |
Hospital 09/03–02/06/20 |
Primary data; survey |
|
|
| Mitra, et al. (2020) [64] India | To study the challenges faced by cancer patients in India during the COVID-19 pandemic | Cross-sectional N = 36 ≥18 years old |
Hospital 01–15/05/20 |
Primary data; survey |
|
|
| Narayanan et al. (2021) [44] USA | To report the feasibility of conducting integrative oncology (IO) physician consultations via telehealth in 2020 compared to the same period of the previous year. | Retrospective N = 1352 ≥18 years old |
Hospital Cohort 1 (in person): 21/04–21/10/19 Cohort 2 (telehealth): 21/04–21/10/20 |
Primary data; questionnaire Secondary data; electronic medical records |
|
|
| Parikh, et al. (2020) [61] USA | To evaluate the overall change in resource use associated with the transition to telemedicine in a radiation oncology department | Descriptive N = 1 patient NA |
Hospital Using a patient undergoing 28-fraction treatment course, exact timeframe not specified. |
Primary data; interviews and surveys of personnel |
|
|
| Patt et al. (2020a) [65] USA | To gain insight into the impact of COVID-19 on the US senior cancer population | Retrospective NA NA |
Hospital Pre-COVID-19: March–July 2019 COVID-19 period: March–July 2020 |
Secondary data; database |
|
|
| Patt, et al. (2020b) [54] USA | (1) To describe onboarding and utilisation of telemedicine across a large statewide community oncology practice (2) To evaluate trends, barriers, and opportunities in care delivery during the coronavirus disease 2019 pandemic |
Cross-sectional N = 640 clinicians at 221 sites of service. N = 80 survey NA |
Community setting February to April 2020 Survey: August 2020 |
Secondary data; telehealth platform Primary data; survey |
|
|
| Patt et al. (2021) [53] USA | To assess the: (1) Implementation of multidisciplinary telemedicine in community oncology: (2) Level of satisfaction in providers and patients (3) Changes in clinic operations (4) Opportunities and barriers |
Cross-sectional N = 640 clinicians at 221 sites of service N = 34 survey NA |
Community setting March–September, 2020 |
Secondary data; telehealth platform Primary data; survey |
|
|
| Rodler et al. (2020) [57] Germany | To determine patients’ perceptions on adoption of telehealth as a response to the pandemic and its sustainability in the future | Patient Cross-sectional N = 92 33–88 years old |
Hospital 1 week |
Primary data; survey |
|
|
| Romani et al. (2021) [32] Canada | (1) To examine the effect of the COVID-19 pandemic on the operation of satellite radiation oncology facility run completely virtually from April to May 2020 (2) Patient satisfaction |
Patient Retrospective observational N = 1 institution NA |
Hospital Pre-COVID-19 period April–May 2019 COVID-19 period April–May 2020 |
Secondary data; health records Primary data; survey |
|
|
| Sawka, et al. (2021) [37] Canada | Describe the management of small low-risk papillary thyroid cancer during the COVID-19 pandemic | Prospective observational N = 181 >18 years old |
Hospital 12/03–30/10/20 |
Secondary data; electronic medical records |
|
|
| Shannon, et al. (2020) [45] USA | To determine how visit and genetic testing volume was impacted by new telephone genetic counselling and home testing. | NA Observational N = 1 institution NA |
Hospital 6 weeks |
Secondary data; electronic medical records, log entries |
|
|
| Smrke, et al. (2020) [55] UK | To evaluate the impact of telemedicine on patients, clinicians, care delivery | Patient and provider Cross-sectional N = 316 >18 years old |
Hospital 23/03–24/04/20 |
Primary data; survey Secondary data; electronic medical records |
|
|
| Somani et al. (2020) [58] UK | To assess outpatient and telemedicine (phone and video) volume during the pandemic. | NA Observational N = 1 institution NA | Hospital 13/03–07/05/20 |
Secondary data; hospital data |
|
|
| Sonagli et al. (2021) [46] Brazil | To demonstrate how the use of telemedicine was an efficient tool to maintain outpatient appointments for breast cancer patients follow-up and surveillance | Patient Retrospective cohort N = 87 >18 years old |
Hospital 05/06–10/10/20 |
Secondary data; hospital data |
|
|
| Wai et al. (2020) [41] USA | To understand how the surgical care of head and neck cancer patients was affected, specifically assessing surgical case volume, time to care, safety of the patients, and clinical team | Retrospective N= 1 institution NA |
Hospital Pre-COVID-19: 16/03–13/04/19 COVID-19 period: 16/03–16/04/20 |
Secondary data; medical notes and database |
|
|
| Wu et al. (2020) [52] Taiwan | To assess smartphone-enabled telehealth model for palliative care family conferences | Patient and family members Pilot observational N = 14 (13 cancer patients, 1 stroke patient) >18 years old |
Hospital February to April 2020 |
Primary data; Discussion |
|
|
| Zuliani et al. (2020) [60] Italy | To analyse how organisational changes related to COVID-19 have impacted: (i) Volume of oncological activity (compared to same period of 2019) (ii) Hospital admissions of “active” oncological patients for SARS-CoV-2 |
Retrospective N = 1 institution N = 241 surveyed NA |
Hospital Pre-COVID-19: 01/01–31/03/19 COVID-19 period: 01/01–31/03/20 |
Secondary data; health records Primary data; questionnaire |
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