Delays in Care by Race, Ethnicity, and Gender Before and During the COVID-19 Pandemic Using Cross-Sectional Data From the National Institutes of Health's All of Us Research Program

Womens Health Issues. 2024 Jul-Aug;34(4):391-400. doi: 10.1016/j.whi.2024.02.003. Epub 2024 Apr 9.

Abstract

Purpose: Delays in receiving medical care are an urgent problem. This study aims to determine whether the odds of, and reasons for, experiencing care delays differ by gender, race-ethnicity, and survey completion before versus during the COVID-19 pandemic.

Methods: We conducted a cross-sectional analysis of survey data from participants age ≥18 in the National Institutes of Health's All of Us Research Program collected from May 6, 2018, to January 1, 2022. Logistic regressions were performed to assess the association of gender, race-ethnicity, and survey completion date with any of nine reasons for delaying care in the past 12 months.

Results: Of 119,983 participants, 37.8% reported delaying care in the past 12 months. After adjusting for employment status, education, income, marital status, health insurance, and age, women of every race-ethnicity and Black and other race-ethnicity men were more likely than white men to report delays in care: Asian women (odds ratio [OR] 1.23; 95% confidence interval [CI] [1.13, 1.34]), Black men (OR 1.15; 95% CI [1.05, 1.25]) and women (OR 1.46; 95% CI [1.38, 1.54]), Hispanic women (OR 1.36; 95% CI [1.28, 1.44]), white women (OR 1.55; 95% CI [1.50, 1.60]), and other race-ethnicity men (OR 1.15; 95% CI [1.05, 1.27]) and women (OR 1.79; 95% CI [1.67, 1.91]). A small but statistically significant difference was seen in reports of care delays for non-pandemic-related reasons during versus before the COVID-19 pandemic (OR 0.88; 95% CI [0.83, 0.93]).

Conclusions: In this study of a diverse group of U.S. participants, women and Black and other race-ethnicity men were more likely than white men to report delays in care, both before and during COVID-19. Addressing care delays may be necessary to ameliorate health disparities by race-ethnicity and gender.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • COVID-19* / epidemiology
  • COVID-19* / ethnology
  • Cross-Sectional Studies
  • Ethnicity* / statistics & numerical data
  • Female
  • Health Services Accessibility / statistics & numerical data
  • Healthcare Disparities / ethnology
  • Humans
  • Male
  • Middle Aged
  • National Institutes of Health (U.S.)
  • Pandemics
  • Racial Groups / statistics & numerical data
  • Sex Factors
  • Surveys and Questionnaires
  • Treatment Delay* / statistics & numerical data
  • United States
  • Young Adult