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Age, race, insurance type, and digital divide index are associated with video visit completion for patients seen for oncologic care in a large hospital system during the COVID-19 pandemic.
Cousins, Matthew M; Van Til, Monica; Steppe, Emma; Ng, Sophia; Ellimoottil, Chandy; Sun, Yilun; Schipper, Matthew; Evans, Joseph R.
Afiliação
  • Cousins MM; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Van Til M; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Steppe E; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Ng S; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Ellimoottil C; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Sun Y; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Schipper M; Department of Urology, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Evans JR; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.
PLoS One ; 17(11): e0277617, 2022.
Article em En | MEDLINE | ID: mdl-36395112
ABSTRACT

INTRODUCTION:

The COVID-19 pandemic drove rapid adoption of telehealth across oncologic specialties. This revealed barriers to telehealth access and telehealth-related disparities. We explored disparities in telehealth access in patients with cancer accessing oncologic care. MATERIALS/

METHODS:

Data for all unique patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019-12/31/2020), including visit type (in-person, video, audio only), age, race, ethnicity, rural/urban (per zip code by Federal Office of Rural Health Policy), distance from medical facility, insurance, and Digital Divide Index (DDI; incorporates technology/internet access, age, disability, and educational attainment metrics by geographic area). Pandemic phases were identified based on visit dynamics. Multivariable logistic regression models were used to examine associations of these variables with successful video visit completion.

RESULTS:

Data were available for 2,398,633 visits for 516,428 patients across all specialties. Among these, there were 253,880 visits from 62,172 patients seen in any oncology clinic. Dramatic increases in telehealth usage were seen during the pandemic (after 3/16/2020). In multivariable analyses, patient age [OR 0.964, (95% CI 0.961, 0.966) P<0.0001], rural zip code [OR 0.814 (95% CI 0.733, 0.904) P = 0.0001], Medicaid enrollment [OR 0.464 (95% CI 0.410, 0.525) P<0.0001], Medicare enrollment [OR 0.822 (95% CI 0.761, 0.888) P = 0.0053], higher DDI [OR 0.903 (95% CI 0.877, 0.930) P<0.0001], distance from the facility [OR 1.028 (95% CI 1.021, 1.035) P<0.0001], black race [OR 0.663 (95% CI 0.584, 0.753) P<0.0001], and Asian race [OR 1.229 (95% CI 1.022, 1.479) P<0.0001] were associated with video visit completion early in the pandemic. Factors related to video visit completion later in the pandemic and within sub-specialties of oncology were also explored.

CONCLUSIONS:

Patients from older age groups, those with minority backgrounds, and individuals from areas with less access to technology (high DDI) as well as those with Medicare or Medicaid insurance were less likely to use video visits. With greater experience through the pandemic, disparities were not mitigated. Further efforts are required to optimize telehealth to benefit all patients and avoid increasing disparities in care delivery.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exclusão Digital / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exclusão Digital / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article