Evidence map›Paper›PMID 40770751›Full record

ArticleBMC health services research2025

The relationship between state-level factors and LGBTQ+ policies in diverse healthcare settings in the United States: a cross-sectional multilevel analysis.

Hyunmin Yu, Stephen Bonett, Dalmacio Dennis Flores, Steven Meanley, Seul Ki Choi, Tari Hanneman, José A Bauermeister

Abstract read
In one paragraph

Article in BMC health services research, 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

7 authors.

Hyunmin YuSchool of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, USA. hyuy@nursing.upenn.edu.
Stephen BonettSchool of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, USA.
Dalmacio Dennis FloresSchool of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, USA.
Steven MeanleySchool of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, USA.
Seul Ki ChoiSchool of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, USA.
Tari HannemanHuman Rights Campaign, 1640 Rhode Island Ave. N.W., Washington, DC, 20036, USA.
José A BauermeisterSchool of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLesbian, gay, bisexual, transgender, queer or questioning, and other sexual and gender diverse (LGBTQ+) individuals face persistent discrimination in healthcare settings, highlighting organizational inclusion efforts to reduce these inequities. While prior research has largely focused on institutional characteristics, the broader policy and sociopolitical context in which healthcare facilities operate remains underexplored. This study makes a novel contribution by using a multilevel approach to examine how state-level factors (e.g., LGBTQ+ laws, political climate, racial and ethnic demographic composition, and Medicaid expansion) are associated with the implementation of LGBTQ+ inclusive policies and practices within diverse healthcare settings across the United States.

methodsThis cross-sectional study used the Healthcare Equality Index (HEI) data collected in 2021 to evaluate LGBTQ+ inclusion in healthcare facilities. We examined 904 American facilities across 48 states that participated in the HEI in 2021. Multilevel modeling was utilized to investigate the association between different state-level factors (LGBTQ+ inclusiveness in laws, political climate, racial and ethnic minority population, and Medicaid expansion status) and HEI scores in the domains of non-discrimination policies, LGBTQ+ inclusive clinical services, inclusive employee benefits, and LGBTQ+ community engagement within different types of healthcare facilities.

resultsIn 48 states, 33.3% were Democratic, 22.9% were divided, and 43.8% were Republican; 70.8% had expanded Medicaid. The mean racial and ethnic minority population was 34.9% (SD = 16.2). Among the 904 facilities, 64.7% were short-term acute care hospitals. State-level political climate and racial and ethnic minority population were significant predictors of LGBTQ+ inclusive patient services within healthcare facilities. Compared to acute care hospitals, rehabilitation hospitals, Veterans Affairs (VA) hospitals, and outpatient facilities had lower scores for non-discrimination policies and LGBTQ+ staff training. VA hospitals scored higher for LGBTQ+ inclusive clinical services. Outpatient facilities, psychiatric and behavioral hospitals, and rehabilitation hospitals had lower scores for inclusive employee benefits, while VA hospitals scored higher. Critical access hospitals, psychiatric and behavioral hospitals, and VA hospitals had lower scores for LGBTQ+ community engagement.

conclusionHealthcare leaders must be mindful of the influence of state politics on the continued delivery of LGBTQ+ inclusive clinical services. Additionally, system-level interventions are needed to enhance LGBTQ+ inclusion efforts across various types of healthcare facilities.

Indexed as

Healthcare DisparitiesHealth FacilitiesHealth PolicySexual and Gender MinoritiesCross-Sectional StudiesFemaleHumansMaleMedicaidMultilevel AnalysisUnited StatesHealthcare Equality IndexHealth equityLGBTQ+ inclusionMultilevel modelingSexual and gender minorities

Identifiers

PMID40770751
PMCPMC12326804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.