Matthew B Mackwood1,2,3, Tor D Tosteson1,2,4,5, Jennifer A Alford-Teaster5, Kevin M Curtis3,6, Mary L Lowry3, Jennifer A Snide5,7, Wenyan Zhao4, Anna N A Tosteson1,2,5,8. 1. Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH. 2. The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH. 3. Connected Care, Dartmouth-Hitchcock Health, Lebanon, NH. 4. Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH. 5. Dartmouth Cancer Center, Dartmouth-Hitchcock Health, Lebanon, NH. 6. Department of Emergency Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH. 7. Analytics Institute, Dartmouth-Hitchcock Health, Lebanon, NH. 8. Department of Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH.
Abstract
PURPOSE: To characterize the use of telemedicine for oncology care over the course of the COVID-19 pandemic in Northern New England with a focus on factors affecting trends. METHODS: We performed a retrospective observational study using patient visit data from electronic health records from hematology-oncology and radiation-oncology service lines spanning the local onset of the pandemic from March 18, 2020, through March 31, 2021. This period was subdivided into four phases designated as lockdown, transition, stabilization, and second wave. Generalized linear mixed regression models were used to estimate the effects of patient characteristics on trends for rates of telemedicine use across phases and the effects of visit type on patient satisfaction and postvisit ER or hospital admissions within 2 weeks. RESULTS: A total of 19,280 patients with 102,349 visits (13.1% audio-only and 1.4% video) were studied. Patient age (increased use in age < 45 and 85 years and older) and urban residence were associated with higher use of telemedicine, especially after initial lockdown. Recent cancer therapy, ER use, and hospital admissions in the past year were all associated with lower telemedicine utilization across pandemic phases. Provider clinical department corresponded to the largest differences in telemedicine use across all phases. ER and hospital admission rates in the 2 weeks after a telehealth visit were lower than those in in-person visits (0.7% v 1.3% and 1.2% v 2.7% for ER and hospital use, respectively; P < .001). Patient satisfaction did not vary across visit types. CONCLUSION: Telemedicine use in oncology during the COVID-19 pandemic varied according to the phase and patient, medical, and health system factors, suggesting opportunities for standardization of care and need for attention to equitable telemedicine access.
PURPOSE: To characterize the use of telemedicine for oncology care over the course of the COVID-19 pandemic in Northern New England with a focus on factors affecting trends. METHODS: We performed a retrospective observational study using patient visit data from electronic health records from hematology-oncology and radiation-oncology service lines spanning the local onset of the pandemic from March 18, 2020, through March 31, 2021. This period was subdivided into four phases designated as lockdown, transition, stabilization, and second wave. Generalized linear mixed regression models were used to estimate the effects of patient characteristics on trends for rates of telemedicine use across phases and the effects of visit type on patient satisfaction and postvisit ER or hospital admissions within 2 weeks. RESULTS: A total of 19,280 patients with 102,349 visits (13.1% audio-only and 1.4% video) were studied. Patient age (increased use in age < 45 and 85 years and older) and urban residence were associated with higher use of telemedicine, especially after initial lockdown. Recent cancer therapy, ER use, and hospital admissions in the past year were all associated with lower telemedicine utilization across pandemic phases. Provider clinical department corresponded to the largest differences in telemedicine use across all phases. ER and hospital admission rates in the 2 weeks after a telehealth visit were lower than those in in-person visits (0.7% v 1.3% and 1.2% v 2.7% for ER and hospital use, respectively; P < .001). Patient satisfaction did not vary across visit types. CONCLUSION: Telemedicine use in oncology during the COVID-19 pandemic varied according to the phase and patient, medical, and health system factors, suggesting opportunities for standardization of care and need for attention to equitable telemedicine access.
Authors: Robert L Satcher; Oliver Bogler; Laurel Hyle; Andrew Lee; Angela Simmons; Robert Williams; Ernest Hawk; Surena Matin; Abenaa M Brewster Journal: J Surg Oncol Date: 2014-05-29 Impact factor: 3.454
Authors: Anna Cox; Grace Lucas; Afrodita Marcu; Marianne Piano; Wendy Grosvenor; Freda Mold; Roma Maguire; Emma Ream Journal: J Med Internet Res Date: 2017-01-09 Impact factor: 5.428
Authors: Matthew Mackwood; Rebecca Butcher; Danielle Vaclavik; Jennifer A Alford-Teaster; Kevin M Curtis; Mary Lowry; Tor D Tosteson; Wenyan Zhao; Anna N A Tosteson Journal: JMIR Cancer Date: 2022-08-16