Virtual Oncology Appointments during the Initial Wave of the COVID-19 Pandemic: An International Survey of Patient Perspectives
Abstract
1. Introduction
2. Methods
2.1. Study Design and Participants
2.2. Survey
2.3. Analysis
3. Results
4. Discussion
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Hanna, T.P.; Evans, G.A.; Booth, C.M. Cancer, COVID-19 and the precautionary principle: Prioritizing treatment during a global pandemic. Nat. Rev. Clin. Oncol. 2020, 17, 268–270. [Google Scholar] [CrossRef] [PubMed]
- Webster, P. Virtual health care in the era of COVID-19. Lancet 2020, 395, 1180–1181. [Google Scholar] [CrossRef]
- Cox, A.; Lucas, G.; Marcu, A.; Piano, M.; Grosvenor, W.; Mold, F.; Maguire, R.; Ream, E. Cancer Survivors’ Experience With Telehealth: A Systematic Review and Thematic Synthesis. J. Med. Internet Res. 2017, 19, e11. [Google Scholar] [CrossRef] [PubMed]
- Larson, J.L.; Rosen, A.B.; Wilson, F.A. The Effect of Telehealth Interventions on Quality of Life of Cancer Patients: A Systematic Review and Meta-Analysis. Telemed. e-Health 2018, 24, 397–405. [Google Scholar] [CrossRef] [PubMed]
- National Cancer Institute. Health Information National Trends Survey; National Cancer Institute: Bethesda, MD, USA, 2017.
- Gill, S.; Hao, D.; Hirte, H.; Campbell, A.; Colwell, B. Impact of COVID-19 on Canadian medical oncologists and cancer care: Canadian Association of Medical Oncologists survey report. Curr. Oncol. 2020, 27, 71–74. [Google Scholar] [CrossRef] [PubMed]
- Abrol, E.; Groszmann, M.; Pitman, A.; Hough, R.; Taylor, R.M.; Aref-Adib, G. Exploring the digital technology preferences of teenagers and young adults (TYA) with cancer and survivors: A cross-sectional service evaluation questionnaire. J. Cancer Surviv. 2017, 11, 670–682. [Google Scholar] [CrossRef] [PubMed]
- Dau, H.; El Din, K.S.; McTaggart-Cowan, H.; Loree, J.M.; Gill, S.; De Vera, M.A. Health information seeking behaviors among individuals with young-onset and average-onset colorectal cancer: An international cross-sectional survey. Support. Care Cancer 2020, 28, 6011–6021. [Google Scholar] [CrossRef] [PubMed]
- Norman, C.D.; A Skinner, H. eHealth Literacy: Essential Skills for Consumer Health in a Networked World. J. Med. Internet Res. 2006, 8, e9. [Google Scholar] [CrossRef] [PubMed]
- Centers for Medicare and Medicaid Services. COVID-19 Frequently Asked Questions (FAQs) on Medicare Fee-for-Service (FFS) Billing; Centers for Medicare and Medicaid Services: Baltimore, MD, USA, 2020.
- Canadian Medical Association. Virtual Care in Canada: Discussion paper. In Proceedings of the CMA Health Summit, Toronto, ON, Canada, 12–13 August 2019. [Google Scholar]
- Virtual Care Task Force. Virtual Care: Recommendations for Scaling Up Virtual Medical Services; Canadian Medical Association: Gloucester, ON, Canada; Royal College of Physicians and Surgeons of Canada: Ottawa, ON, Canada; College of Family Physicians of Canada: Mississauga, ON, Canada, 2020. [Google Scholar]
Demographic Characteristics | |
Age, year (median (range)) | 54 (21, 93) |
Age | |
<50 years | 84 (40) |
≥50 years | 128 (60) |
Female, n (%) | 142 (67) |
Country, n (%) | |
Canada | 111 (52) |
United States | 74 (35) |
Other a | 27 (13) |
Highest level of education completed, n (%) | |
Secondary (elementary, high school) | 41 (19) |
Post-secondary (university, college, technical school) | 171 (81) |
Tested for COVID-19, n (%) | |
No | 165 (84) |
Yes | 32 (16) |
Negative test | 26 (81) |
Positive test | 2 (6) |
Waiting for results | 3 (9) |
Prefer not to answer | 1 (3) |
Cancer Characteristics | |
Cancer type b,c, n (%) | |
Colorectal | 58 (27) |
Breast | 45 (21) |
Prostate | 15 (7) |
Lung | 14 (7) |
Other | 90 (42) |
Cancer stage, n (%) | |
0 | 2 (1) |
I | 21 (10) |
II | 23 (11) |
III | 36 (17) |
IV | 97 (46) |
Do not know | 30 (14) |
Cancer treatment duration, n (%) | |
≤3 months | 41 (20) |
3 to 12 months | 58 (28) |
>12 months | 109 (52) |
Number of treatment modalities, n (%) | |
Single | 104 (49) |
Multiple | 106 (50) |
None | 2 (1) |
Type of treatment c, n (%) | |
Infusion chemotherapy | 105 (50) |
Surgery | 68 (32) |
Radiation | 53 (25) |
Oral chemotherapy | 47 (22) |
Immunotherapy | 33 (16) |
Other | 65 (31) |
Use of Technology for Healthcare | |
Digital devices owned c, n (%) | |
Smartphone | 184 (87%) |
Laptop | 141 (67%) |
Tablet | 131 (62%) |
Desktop computer | 82 (39%) |
Basic cell phone | 17 (8%) |
Health-related use of digital device d, n (%) | |
Look for medical information | 190 (93%) |
Look up results from a medical test | 161 (77%) |
Participate in a virtual medical appointment over video conference | 89 (44%) |
Participate in a virtual medical appointment over telephone | 135 (66%) |
Odds Ratio | 95% Confidence Interval | |
---|---|---|
Years from cancer diagnosis | 0.84 | (0.66, 1.07) |
Age | ||
<50 years (ref) | ||
≥50 years | 0.22 | (0.06, 0.85) |
Location | ||
Other (ref) | ||
Canada | 2.67 | (0.63, 11.38) |
United States | 2.79 | (0.32, 24.33) |
Gender | ||
Male (ref) | ||
Female | 0.33 | (0.08, 1.28) |
Cancer treatment length | ||
>12 months (ref) | ||
3 to 12 months | 1.04 | (0.26, 4.08) |
≤3 months | 0.06 | (0.00, 0.69) |
Platform used for virtual oncology appointment a | ||
No video conference (ref) | ||
Video conference | 0.97 | (0.21, 4.43) |
No telephone (ref) | ||
Telephone | 1.00 | (0.19, 5.31) |
No texting (ref) | ||
Texting | 0.74 | (0.02, 22.84) |
No email (ref) | ||
0.42 | (0.04, 4.67) | |
Treatment modality a | ||
No radiation (ref) | ||
Radiation | 0.75 | (0.18, 3.09) |
No oral chemotherapy (ref) | ||
Oral chemotherapy | 0.88 | (0.19, 4.14) |
No infusion chemotherapy (ref) | ||
Infusion chemotherapy | 0.70 | (0.13, 3.74) |
No surgery (ref) | ||
Surgery | 1.07 | (0.31, 3.7) |
No immunotherapy (ref) | ||
Immunotherapy | 1.58 | (0.37, 6.82) |
No other (ref) | ||
Other | 0.38 | (0.04, 3.49) |
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Share and Cite
Loree, J.M.; Dau, H.; Rebić, N.; Howren, A.; Gastonguay, L.; McTaggart-Cowan, H.; Gill, S.; Raghav, K.; De Vera, M.A. Virtual Oncology Appointments during the Initial Wave of the COVID-19 Pandemic: An International Survey of Patient Perspectives. Curr. Oncol. 2021, 28, 671-677. https://doi.org/10.3390/curroncol28010065
Loree JM, Dau H, Rebić N, Howren A, Gastonguay L, McTaggart-Cowan H, Gill S, Raghav K, De Vera MA. Virtual Oncology Appointments during the Initial Wave of the COVID-19 Pandemic: An International Survey of Patient Perspectives. Current Oncology. 2021; 28(1):671-677. https://doi.org/10.3390/curroncol28010065
Chicago/Turabian StyleLoree, Jonathan M., Hallie Dau, Nevena Rebić, Alyssa Howren, Louise Gastonguay, Helen McTaggart-Cowan, Sharlene Gill, Kanwal Raghav, and Mary A. De Vera. 2021. "Virtual Oncology Appointments during the Initial Wave of the COVID-19 Pandemic: An International Survey of Patient Perspectives" Current Oncology 28, no. 1: 671-677. https://doi.org/10.3390/curroncol28010065
APA StyleLoree, J. M., Dau, H., Rebić, N., Howren, A., Gastonguay, L., McTaggart-Cowan, H., Gill, S., Raghav, K., & De Vera, M. A. (2021). Virtual Oncology Appointments during the Initial Wave of the COVID-19 Pandemic: An International Survey of Patient Perspectives. Current Oncology, 28(1), 671-677. https://doi.org/10.3390/curroncol28010065