Disparities in Telemedicine Utilization During COVID-19 Pandemic
Background:. The coronavirus-19 (COVID-19) pandemic has prompted a shift in health-care provision toward implementation of telemedicine. This study investigated demographic information on orthopaedic telemedicine utilization at a single academic orthopaedic institution in an effort to identify facto...
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Veröffentlicht in: | JB & JS open access 2022-06, Vol.7 (2) |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background:. The coronavirus-19 (COVID-19) pandemic has prompted a shift in health-care provision toward implementation of telemedicine. This study investigated demographic information on orthopaedic telemedicine utilization at a single academic orthopaedic institution in an effort to identify factors associated with telemedicine usage. Methods:. Demographic and appointment data were collected from the electronic medical record during equivalent time periods prior to the onset of the COVID pandemic (pre-COVID) and during the COVID pandemic (peri-COVID). Multivariate analyses were performed to identify demographic and socioeconomic correlates of telemedicine utilization. Results:. There was a significant increase in telemedicine visits between the eras of study, with significant differences in telemedicine usage in association with age, sex, marital status, English as the primary language, and insurance type (p < 0.001). Multivariate analyses found American Indian/Alaska Native (adjusted odds ratio [aOR] = 0.487, p = 0.004), Black/African American (aOR = 0.622, p < 0.001), Native Hawaiian/other Pacific Islander (aOR = 0.676, p = 0.003), and Asian (aOR = 0.731, p < 0.001) race to be significantly associated with decreased telemedicine usage. Additionally, male sex (aOR = 0.878, p < 0.001) and a non-commercial insurance plan (p < 0.001) were significantly associated with decreased telemedicine usage. Conclusions:. Non-White race, non-commercial insurance plans, and male sex were associated with decreased telemedicine utilization. Further investigation is needed to characterize and better identify underlying factors contributing to disparities in telemedicine access and utilization. |
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ISSN: | 2472-7245 |
DOI: | 10.2106/JBJS.OA.21.00116 |