Evidence map›Paper›PMID 41464463›Full record

ArticleInternational journal of environmental research and public health2025

Examining the Intersectional and Structural Issues of Routine Healthcare Utilization and Access Inequities for LGB People with Chronic Diseases.

Shiya Cao, Mehreen Mirza, Sophia Silovsky, Nicole Tresvalles, Lucia Qin, Sarah Susnea

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shiya CaoStatistical and Data Sciences, Smith College, 10 Elm Street, Northampton, MA 01063, USA.ORCID 0000-0002-7762-5610
Mehreen MirzaStatistical and Data Sciences, Smith College, 10 Elm Street, Northampton, MA 01063, USA.
Sophia SilovskyStatistical and Data Sciences, Smith College, 10 Elm Street, Northampton, MA 01063, USA.ORCID 0009-0006-5759-5019
Nicole TresvallesStatistical and Data Sciences, Smith College, 10 Elm Street, Northampton, MA 01063, USA.ORCID 0009-0005-8916-7556
Lucia QinStatistical and Data Sciences, Smith College, 10 Elm Street, Northampton, MA 01063, USA.
Sarah SusneaStatistical and Data Sciences, Smith College, 10 Elm Street, Northampton, MA 01063, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the United States, although the gaps in health insurance coverage by sexual orientation have been closing since the implementation of the Affordable Care Act and legalization of same-sex marriage, the LGB group (i.e., lesbian, gay, bisexual) continues to report healthcare utilization and access inequities such as more delayed or unmet care. The extant research has often examined healthcare utilization and access inequities due to affordability (e.g., out-of-pocket costs). However, healthcare utilization and access inequities are only partially explained by cost reasons; there are non-cost reasons that have not been adequately empirically examined. The present study innovatively includes discrimination structural variables to understand how social structure is associated with healthcare utilization and access inequities of LGB people. It focuses on two routine health services-regular check-ups and prescription medications-for LGB people who have chronic diseases. Additionally, sexual orientation may intersect with sex assigned at birth (sex, hereafter, i.e., male, female) to impact healthcare utilization and access inequities. The current study applies quantitative intersectional analysis to understand healthcare utilization and access inequities from a sexual orientation and sex intersectional lens and for easier and clearer interpretations of intersectional results and more actionable policy implications for inter-categorical groups. Using the 2023 National Health Interview Survey (weighted

Indexed as

Healthcare DisparitiesHealth Services AccessibilityPatient Acceptance of Health CareSexual and Gender MinoritiesAdultChronic DiseaseFemaleHumansMaleMiddle AgedUnited StatesYoung Adultdiscriminationhealthcare utilization and accessquantitative intersectional analysissexual orientation

Identifiers

PMID41464463
PMCPMC12732992

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.