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] [Green Version]
- 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) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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