The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic

Public Health. 2024 Jul:232:52-60. doi: 10.1016/j.puhe.2024.04.007. Epub 2024 May 11.

Abstract

Objective: To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic.

Study design: Cross-sectional survey.

Methods: An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7).

Results: Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79-18.60), cancer (OR = 8.47; 95% CI = 3.73-19.30), and emergency (OR = 14.2; 95% CI = 5.57-36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52-0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL.

Conclusions: ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic.

Keywords: Area deprivation index; Cancer; Follow-up medical care; Health care access; SARS-CoV-2.

MeSH terms

  • Adult
  • Aged
  • COVID-19* / epidemiology
  • Cancer Survivors* / psychology
  • Cancer Survivors* / statistics & numerical data
  • Cross-Sectional Studies
  • Female
  • Health Services Accessibility / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Neoplasms / epidemiology
  • Neoplasms / therapy
  • Pandemics
  • Quality of Life*
  • Residence Characteristics / statistics & numerical data
  • SARS-CoV-2
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Telemedicine / statistics & numerical data