Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study
BackgroundThe COVID-19 public health emergency catalyzed widespread adoption of both video- and audio-only telemedicine visits. This proliferation highlighted inequities in use by age, race and ethnicity, and preferred language. Few studies have investigated how differences i...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-03-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e64635 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850281563656290304 |
|---|---|
| author | Jonathan J Shih Magdalene Kuznia Sarah Nouri Elizabeth B Sherwin Kathryn E Kemper Anna D Rubinsky Courtney R Lyles Elaine C Khoong |
| author_facet | Jonathan J Shih Magdalene Kuznia Sarah Nouri Elizabeth B Sherwin Kathryn E Kemper Anna D Rubinsky Courtney R Lyles Elaine C Khoong |
| author_sort | Jonathan J Shih |
| collection | DOAJ |
| description |
BackgroundThe COVID-19 public health emergency catalyzed widespread adoption of both video- and audio-only telemedicine visits. This proliferation highlighted inequities in use by age, race and ethnicity, and preferred language. Few studies have investigated how differences in health system telemedicine implementation affected these inequities.
ObjectiveThis study aims to describe patients who used telemedicine during the public health emergency and identify predictors of telemedicine use across 2 health systems with different telemedicine implementations.
MethodsThis retrospective cohort study included adults with diabetes receiving primary care between July 2020 and March 2021 at 2 independent health systems in San Francisco, California. Participant sociodemographic characteristics, health information, and telemedicine utilization were acquired from electronic health records. The primary outcome was visit type (any audio or video telemedicine vs in-person only) during the study period. We used multivariable logistic regression to assess the association between visit type and key predictors associated with digital exclusion (age, race and ethnicity, preferred language, and neighborhood socioeconomic status), adjusting for baseline health. We included an interaction term to evaluate health system impact on each predictor and then stratified by health system (academic, which prioritized video-enabled visits, vs safety net, which prioritized audio-only visits).
ResultsAmong 10,201 patients, we found higher odds of telemedicine use in the safety net system compared with the academic system (adjusted odds ratio [aOR] 2.94, 95% CI 2.48-3.48). Patients with younger age (18-34 years: aOR 2.55, 95% CI 1.63-3.97; 35-49 years: aOR 1.39, 95% CI 1.12-1.73 vs 75+ years) and Chinese-language preference (aOR 2.04, 95% CI 1.66-2.5 vs English) had higher odds of having a telemedicine visit. Non-Hispanic Asian (aOR 0.67, 95% CI 0.56-0.79), non-Hispanic Black (aOR 0.83, 95% CI 0.68-1), and Hispanic or Latine (aOR 0.76, 95% CI 0.61-0.95) patients had lower odds of having a telemedicine visit than non-Hispanic White patients. We found significant interactions between health system and age, race and ethnicity, and preferred language (P<.05). After stratifying by health system, several differences persisted in the academic system: non-Hispanic Asian (aOR 0.57, 95% CI 0.46-0.70) and Latine (aOR 0.67, 95% CI 0.50-0.91) patients had lower odds of a telemedicine visit, and younger age groups had higher odds (18-34 years: aOR 3.97, 95% CI 1.99-7.93; 35-49 years: aOR 1.86, 95% CI 1.36-2.56). In the safety net system, Chinese-speaking patients had higher odds of having a telemedicine visit (aOR 2.52, 95% CI 1.85-3.42).
ConclusionsWe found disparities in telemedicine utilization by age, race and ethnicity, and preferred language, primarily in the health system that used more video visits. While telemedicine expanded rapidly recently, certain populations remain at risk for digital exclusion. These findings suggest that system-level factors influence telemedicine adoption and implementation decisions impact accessibility for populations at risk for digital exclusion. |
| format | Article |
| id | doaj-art-ff2bb37fc42c4496af42695486293eaa |
| institution | OA Journals |
| issn | 1438-8871 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj-art-ff2bb37fc42c4496af42695486293eaa2025-08-20T01:48:15ZengJMIR PublicationsJournal of Medical Internet Research1438-88712025-03-0127e6463510.2196/64635Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort StudyJonathan J Shihhttps://orcid.org/0000-0002-8651-7806Magdalene Kuzniahttps://orcid.org/0000-0002-2605-4416Sarah Nourihttps://orcid.org/0000-0001-7163-0366Elizabeth B Sherwinhttps://orcid.org/0000-0002-7513-3823Kathryn E Kemperhttps://orcid.org/0000-0002-2847-0325Anna D Rubinskyhttps://orcid.org/0000-0002-8977-4779Courtney R Lyleshttps://orcid.org/0000-0002-1111-8595Elaine C Khoonghttps://orcid.org/0000-0002-2514-3572 BackgroundThe COVID-19 public health emergency catalyzed widespread adoption of both video- and audio-only telemedicine visits. This proliferation highlighted inequities in use by age, race and ethnicity, and preferred language. Few studies have investigated how differences in health system telemedicine implementation affected these inequities. ObjectiveThis study aims to describe patients who used telemedicine during the public health emergency and identify predictors of telemedicine use across 2 health systems with different telemedicine implementations. MethodsThis retrospective cohort study included adults with diabetes receiving primary care between July 2020 and March 2021 at 2 independent health systems in San Francisco, California. Participant sociodemographic characteristics, health information, and telemedicine utilization were acquired from electronic health records. The primary outcome was visit type (any audio or video telemedicine vs in-person only) during the study period. We used multivariable logistic regression to assess the association between visit type and key predictors associated with digital exclusion (age, race and ethnicity, preferred language, and neighborhood socioeconomic status), adjusting for baseline health. We included an interaction term to evaluate health system impact on each predictor and then stratified by health system (academic, which prioritized video-enabled visits, vs safety net, which prioritized audio-only visits). ResultsAmong 10,201 patients, we found higher odds of telemedicine use in the safety net system compared with the academic system (adjusted odds ratio [aOR] 2.94, 95% CI 2.48-3.48). Patients with younger age (18-34 years: aOR 2.55, 95% CI 1.63-3.97; 35-49 years: aOR 1.39, 95% CI 1.12-1.73 vs 75+ years) and Chinese-language preference (aOR 2.04, 95% CI 1.66-2.5 vs English) had higher odds of having a telemedicine visit. Non-Hispanic Asian (aOR 0.67, 95% CI 0.56-0.79), non-Hispanic Black (aOR 0.83, 95% CI 0.68-1), and Hispanic or Latine (aOR 0.76, 95% CI 0.61-0.95) patients had lower odds of having a telemedicine visit than non-Hispanic White patients. We found significant interactions between health system and age, race and ethnicity, and preferred language (P<.05). After stratifying by health system, several differences persisted in the academic system: non-Hispanic Asian (aOR 0.57, 95% CI 0.46-0.70) and Latine (aOR 0.67, 95% CI 0.50-0.91) patients had lower odds of a telemedicine visit, and younger age groups had higher odds (18-34 years: aOR 3.97, 95% CI 1.99-7.93; 35-49 years: aOR 1.86, 95% CI 1.36-2.56). In the safety net system, Chinese-speaking patients had higher odds of having a telemedicine visit (aOR 2.52, 95% CI 1.85-3.42). ConclusionsWe found disparities in telemedicine utilization by age, race and ethnicity, and preferred language, primarily in the health system that used more video visits. While telemedicine expanded rapidly recently, certain populations remain at risk for digital exclusion. These findings suggest that system-level factors influence telemedicine adoption and implementation decisions impact accessibility for populations at risk for digital exclusion.https://www.jmir.org/2025/1/e64635 |
| spellingShingle | Jonathan J Shih Magdalene Kuznia Sarah Nouri Elizabeth B Sherwin Kathryn E Kemper Anna D Rubinsky Courtney R Lyles Elaine C Khoong Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study Journal of Medical Internet Research |
| title | Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study |
| title_full | Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study |
| title_fullStr | Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study |
| title_full_unstemmed | Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study |
| title_short | Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study |
| title_sort | differences in telemedicine use for patients with diabetes in an academic versus safety net health system retrospective cohort study |
| url | https://www.jmir.org/2025/1/e64635 |
| work_keys_str_mv | AT jonathanjshih differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy AT magdalenekuznia differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy AT sarahnouri differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy AT elizabethbsherwin differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy AT kathrynekemper differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy AT annadrubinsky differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy AT courtneyrlyles differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy AT elaineckhoong differencesintelemedicineuseforpatientswithdiabetesinanacademicversussafetynethealthsystemretrospectivecohortstudy |