Evidence map›Paper›PMID 42764299›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Disparities in healthcare utilization and access by measures of economic stability among female cancer survivors in Maryland.

Lensa S Keno, Mu Jin, Camryn M Cohen, Kala Visvanathan, Avonne E Connor

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lensa S KenoJohns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Office E-6144, Baltimore, MD, USA.
Mu JinUniversity of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA.
Camryn M CohenJohns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Office E-6144, Baltimore, MD, USA.
Kala VisvanathanJohns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Office E-6144, Baltimore, MD, USA.
Avonne E ConnorJohns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Office E-6144, Baltimore, MD, USA. aconnor8@jhu.edu.ORCID https://orcid.org/0000-0002-7453-3892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRacial/ethnic minorities and economically disadvantaged populations may underuse healthcare throughout cancer survivorship. We explored associations between race/ethnicity, economic stability, and healthcare utilization among female cancer survivors.

methodsSurvey data were analyzed for 1633 females with a self-reported history of cancer who completed the Maryland Behavioral Risk Factor Surveillance Survey between 2011 and 2020. Odds ratios with 95% confidence intervals (CI) for associations between sociodemographic factors and healthcare utilization were estimated utilizing multivariable logistic regression models.

resultsWhile 39.8% of survivors reported being employed, 39.7% reported being retired and 10.5% were unemployed. Unemployed survivors (vs employed) were 3.90 times the odds of reporting not being able to see a doctor because of cost (95% CI 1.38-11.04). Survivors who were not homeowners (versus homeowners) had 61% lower odds of reporting to have a general/family practitioner for majority of care (95% CI 0.22-0.67). Survivors with household incomes ≤ $50,000/year (versus > $50,000) had 2.36 times the odds to not have seen a doctor in the past year (95% CI 1.20-4.65). An interaction (p = 0.002) was observed between race/ethnicity and time since diagnosis with seeing a doctor in past year.

conclusionsOur findings demonstrate healthcare utilization disparities and highlight the need for targeted interventions for female cancer survivors in Maryland.

Indexed as

Cancer SurvivorsHealthcare DisparitiesHealth Services AccessibilityPatient Acceptance of Health CareAdultAgedBehavioral Risk Factor Surveillance SystemFemaleHumansMarylandMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsYoung AdultAccess to careCancer survivorshipHealthcare utilizationHealth disparitiesSocioeconomic factors

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.