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Differences in access to virtual and in-person primary care by race/ethnicity and community social vulnerability among adults diagnosed with COVID-19 in a large, multi-state health system.
Govier, Diana J; Cohen-Cline, Hannah; Marsi, Katherine; Roth, Sarah E.
Afiliação
  • Govier DJ; Center for Outcomes Research and Education (CORE), Providence, 5211 NE Glisan Street, Portland, OR, 97213, USA.
  • Cohen-Cline H; Center for Outcomes Research and Education (CORE), Providence, 5211 NE Glisan Street, Portland, OR, 97213, USA.
  • Marsi K; Center for Outcomes Research and Education (CORE), Providence, 5211 NE Glisan Street, Portland, OR, 97213, USA. katherine.marsi@providence.org.
  • Roth SE; Center for Outcomes Research and Education (CORE), Providence, 5211 NE Glisan Street, Portland, OR, 97213, USA.
BMC Health Serv Res ; 22(1): 511, 2022 Apr 15.
Article em En | MEDLINE | ID: mdl-35428257
ABSTRACT

BACKGROUND:

Research exploring telehealth expansion during the COVID-19 pandemic has demonstrated that groups disproportionately impacted by COVID-19 also experience worse access to telehealth. However, this research has been cross-sectional or short in duration; geographically limited; has not accounted for pre-existing access disparities; and has not examined COVID-19 patients. We examined virtual primary care use by race/ethnicity and community social vulnerability among adults diagnosed with COVID-19 in a large, multi-state health system. We also assessed use of in-person primary care to understand whether disparities in virtual access may have been offset by improved in-person access.

METHODS:

Using a cohort design, electronic health records, and Centers for Disease Control and Prevention Social Vulnerability Index, we compared changes in virtual and in-person primary care use by race/ethnicity and community social vulnerability in the year before and after COVID-19 diagnosis. Our study population included 11,326 adult patients diagnosed with COVID-19 between March and July 2020. We estimated logistic regression models to examine likelihood of primary care use. In all regression models we computed robust standard errors; in adjusted models we controlled for demographic and health characteristics of patients.

RESULTS:

In a patient population of primarily Hispanic/Latino and non-Hispanic White individuals, and in which over half lived in socially vulnerable areas, likelihood of virtual primary care use increased from the year before to the year after COVID-19 diagnosis (3.6 to 10.3%); while in-person use remained stable (21.0 to 20.7%). In unadjusted and adjusted regression models, compared with White patients, Hispanic/Latino and other race/ethnicity patients were significantly less likely to use virtual care before and after COVID-19 diagnosis; Hispanic/Latino, Native Hawaiian/Pacific Islander, and other race/ethnicity patients, and patients living in socially vulnerable areas were also significantly less likely to use in-person care during these time periods.

CONCLUSIONS:

Newly expanded virtual primary care has not equitably benefited individuals from racialized groups diagnosed with COVID-19, and virtual access disparities have not been offset by improved in-person access. Health systems should employ evidence-based strategies to equitably provide care, including representative provider networks; targeted, empowering outreach; co-developed culturally and linguistically appropriate tools and technologies; and provision of enabling resources and services.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article