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Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care

BACKGROUND: Oncology telemedicine was implemented rapidly after COVID‐19. We examined multilevel correlates and outcomes of telemedicine use for patients undergoing radiotherapy (RT) for cancer. METHODS: Upon implementation of a telemedicine platform at a comprehensive cancer center, we analyzed 468...

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Autores principales: De, Brian, Fu, Shuangshuang, Chen, Ying‐Shiuan, Das, Prajnan, Ku, Kimberly, Maroongroge, Sean, Woodhouse, Kristina D., Hoffman, Karen E., Nguyen, Quynh‐Nhu, Reed, Valerie K., Chen, Aileen B., Koong, Albert C., Smith, Benjamin D., Smith, Grace L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119354/
https://www.ncbi.nlm.nih.gov/pubmed/35297210
http://dx.doi.org/10.1002/cam4.4555
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author De, Brian
Fu, Shuangshuang
Chen, Ying‐Shiuan
Das, Prajnan
Ku, Kimberly
Maroongroge, Sean
Woodhouse, Kristina D.
Hoffman, Karen E.
Nguyen, Quynh‐Nhu
Reed, Valerie K.
Chen, Aileen B.
Koong, Albert C.
Smith, Benjamin D.
Smith, Grace L.
author_facet De, Brian
Fu, Shuangshuang
Chen, Ying‐Shiuan
Das, Prajnan
Ku, Kimberly
Maroongroge, Sean
Woodhouse, Kristina D.
Hoffman, Karen E.
Nguyen, Quynh‐Nhu
Reed, Valerie K.
Chen, Aileen B.
Koong, Albert C.
Smith, Benjamin D.
Smith, Grace L.
author_sort De, Brian
collection PubMed
description BACKGROUND: Oncology telemedicine was implemented rapidly after COVID‐19. We examined multilevel correlates and outcomes of telemedicine use for patients undergoing radiotherapy (RT) for cancer. METHODS: Upon implementation of a telemedicine platform at a comprehensive cancer center, we analyzed 468 consecutive patient RT courses from March 16, 2020 to June 1, 2020. Patients were categorized as using telemedicine during ≥1 weekly oncologist visits versus in‐person oncologist management only. Temporal trends were evaluated with Cochran‐Armitage tests; chi‐squared test and multilevel multivariable logistic models identified correlates of use and outcomes. RESULTS: Overall, 33% used telemedicine versus 67% in‐person only oncologist management. Temporal trends (p (trend) < 0.001) correlated with policy changes: uptake was rapid after local social‐distancing restrictions, reaching peak use (35% of visits) within 4 weeks of implementation. Use declined to 15% after national “Opening Up America Again” guidelines. In the multilevel model, patients more likely to use telemedicine were White non‐Hispanic versus Black or Hispanic (odds ratio [OR] = 2.20, 95% confidence interval [CI] 1.03–4.72; p = 0.04) or receiving ≥6 fractions of RT versus 1–5 fractions (OR = 4.49, 95% CI 2.29–8.80; p < 0.001). Model intraclass correlation coefficient demonstrated 43% utilization variation was physician‐level driven. Treatment toxicities and 30‐day emergency visits or unplanned hospitalizations did not differ for patients using versus not using telemedicine (p > 0.05, all comparisons). CONCLUSION: Though toxicities were similar with telemedicine oncology management, there remained lower uptake among non‐White patients. Continuing strategies for oncology telemedicine implementation should address multilevel patient, physician, and policy factors to optimize telemedicine's potential to surmount—and not exacerbate—barriers to quality cancer care.
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spelling pubmed-91193542022-05-21 Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care De, Brian Fu, Shuangshuang Chen, Ying‐Shiuan Das, Prajnan Ku, Kimberly Maroongroge, Sean Woodhouse, Kristina D. Hoffman, Karen E. Nguyen, Quynh‐Nhu Reed, Valerie K. Chen, Aileen B. Koong, Albert C. Smith, Benjamin D. Smith, Grace L. Cancer Med RESEARCH ARTICLES BACKGROUND: Oncology telemedicine was implemented rapidly after COVID‐19. We examined multilevel correlates and outcomes of telemedicine use for patients undergoing radiotherapy (RT) for cancer. METHODS: Upon implementation of a telemedicine platform at a comprehensive cancer center, we analyzed 468 consecutive patient RT courses from March 16, 2020 to June 1, 2020. Patients were categorized as using telemedicine during ≥1 weekly oncologist visits versus in‐person oncologist management only. Temporal trends were evaluated with Cochran‐Armitage tests; chi‐squared test and multilevel multivariable logistic models identified correlates of use and outcomes. RESULTS: Overall, 33% used telemedicine versus 67% in‐person only oncologist management. Temporal trends (p (trend) < 0.001) correlated with policy changes: uptake was rapid after local social‐distancing restrictions, reaching peak use (35% of visits) within 4 weeks of implementation. Use declined to 15% after national “Opening Up America Again” guidelines. In the multilevel model, patients more likely to use telemedicine were White non‐Hispanic versus Black or Hispanic (odds ratio [OR] = 2.20, 95% confidence interval [CI] 1.03–4.72; p = 0.04) or receiving ≥6 fractions of RT versus 1–5 fractions (OR = 4.49, 95% CI 2.29–8.80; p < 0.001). Model intraclass correlation coefficient demonstrated 43% utilization variation was physician‐level driven. Treatment toxicities and 30‐day emergency visits or unplanned hospitalizations did not differ for patients using versus not using telemedicine (p > 0.05, all comparisons). CONCLUSION: Though toxicities were similar with telemedicine oncology management, there remained lower uptake among non‐White patients. Continuing strategies for oncology telemedicine implementation should address multilevel patient, physician, and policy factors to optimize telemedicine's potential to surmount—and not exacerbate—barriers to quality cancer care. John Wiley and Sons Inc. 2022-03-16 /pmc/articles/PMC9119354/ /pubmed/35297210 http://dx.doi.org/10.1002/cam4.4555 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
De, Brian
Fu, Shuangshuang
Chen, Ying‐Shiuan
Das, Prajnan
Ku, Kimberly
Maroongroge, Sean
Woodhouse, Kristina D.
Hoffman, Karen E.
Nguyen, Quynh‐Nhu
Reed, Valerie K.
Chen, Aileen B.
Koong, Albert C.
Smith, Benjamin D.
Smith, Grace L.
Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care
title Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care
title_full Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care
title_fullStr Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care
title_full_unstemmed Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care
title_short Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care
title_sort patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119354/
https://www.ncbi.nlm.nih.gov/pubmed/35297210
http://dx.doi.org/10.1002/cam4.4555
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