Cited by 89Sex and Gender in HealthcareHealth disparities and outcomesHealthcare Policy and Management

Gender disparities in difficulty accessing healthcare and cost-related medication non-adherence: The CDC behavioral risk factor surveillance system (BRFSS) survey

Open access
Daher, Marilyne, Al Rifai, Mahmoud, Kherallah, Riyad Y., Rodriguez, Fatima, Mahtta, Dhruv, Michos, Erin D., Khan, Safi U., Petersen, Laura A. +1 more·2021·Preventive Medicine

Abstract

Ensuring healthcare access is critical to maintain health and prevent illness. Studies demonstrate gender disparities in healthcare access. Less is known about how these vary with age, race/ethnicity, and atherosclerotic cardiovascular disease. We utilized cross-sectional data from 2016 to 2019 CDC Behavioral Risk Factor Surveillance System (BRFSS), a U.S. telephone-based survey of adults (≥18 years). Measures of difficulty accessing healthcare included absence of healthcare coverage, delay in healthcare access, absence of primary care physician, >1-year since last checkup, inability to see doctor due to cost, and cost-related medication non-adherence. We studied the association between gender and these variables using multivariable-adjusted logistic regression models, stratifying by age, race/ethnicity, and atherosclerotic cardiovascular disease status. Our population consisted of 1,737,397 individuals; 54% were older (≥45 years), 51% women, 63% non-Hispanic White, 12% non-Hispanic Black,17% Hispanic, 9% reported atherosclerotic cardiovascular disease. In multivariable-adjusted models, women were more likely to report delay in healthcare access: odds ratio (OR) and (95% confidence interval): 1.26 (1.11, 1.43) [p < 0.001], inability to see doctor due to cost: 1.29 (1.22, 1.36) [p < 0.001], cost-related medication non-adherence: 1.24 (1.01, 1.50) [p = 0.04]. Women were less likely to report lack of healthcare coverage: 0.71 (0.66, 0.75) [p < 0.001] and not having a primary care physician: 0.50 (0.48, 0.52) [p < 0.001]. Disparities were pronounced in younger (<45 years) and Black women. Identifying these barriers, particularly among younger women and Black women, is crucial to ensure equitable healthcare access to all individuals.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ypmed.2021.106779

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The higher mortality rates in females may reflect gender-based differences in access to healthcare facilities in the United States.

    “The higher mortality rates in females may reflect gender‐based differences in access to healthcare facilities in the United States [16].”

    From Trends and Demographics of Vascular Intestinal Diseases‐Related Mortality Among Adults Living in United States From 1999 to 2020; A CDC Wonder Analysis (2025) · cites this paper as [16]

    The Results report that U.S. women were more likely than men to report delays in healthcare access and inability to see a doctor because of cost. The paper does not assess whether these differences explain higher female mortality; the Discussion says ASCVD mortality rates are similar among men and women and notes that the cross-sectional analysis cannot establish causality. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 39 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Daher, M., Al Rifai, M., Kherallah, R. Y., Rodriguez, F., Mahtta, D., Michos, E. D., Khan, S. U., Petersen, L. A., & Virani, S. S.
Affiliations
  • Baylor College of Medicine (US)
  • Johns Hopkins University (US)
  • West Virginia University (US)
  • Michael E. DeBakey VA Medical Center (US)
Corresponding author
Virani, Salim S.
Venue
Preventive Medicine
Publisher
Elsevier BV
Published
2021-12
Volume
153
Pages
106779
ISSN
0091-7435 (ISSN-L)
OpenAlex
W3196885724
Cited by
89
References
39
Citations by year
2026: 38 · 2025: 32 · 2024: 12 · 2023: 4 · 2022: 2 · 2021: 1
FWCI
4.12
Type
journal article
Language
en
Open access
Locations
  • Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eCommons - AKU (Aga Khan University) (submittedVersion, cc-by-nc-nd)
Funders
National Heart, Lung, and Blood Institute (K01HL144607)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
  • Social Sciences › Health › Health disparities and outcomes
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
Keywords
gender disparities, health care access, lack of health insurance, atherosclerotic cardiovascular disease, Black women, young women, racial and ethnic disparities, health equity
MeSH terms
Adult, Centers for Disease Control and Prevention, U.S., Cross-Sectional Studies, Female, Health Services Accessibility, Humans, Male, United States, Behavioral Risk Factor Surveillance System, Healthcare Disparities, Medication Adherence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review