Evidence map›Paper›PMID 41333526›Full record

ArticleFrontiers in health services2025

Cross-sectional analysis of delays in care and interactions with healthcare providers among transgender and gender diverse individuals.

Kasey A Hill, Olveen Carrasquillo, Diana T Medina Laabes, Vivian Colón-López

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kasey A HillDepartment of Neurology, Mayo Clinic, Rochester, MN, United States.
Olveen CarrasquilloDepartment of Medicine, Miller School of Medicine, University of Miami, Miami, FL, United States.
Diana T Medina LaabesUniversity of Puerto Rico Comprehensive Cancer Center, Cancer Control and Population Sciences Division, San Juan, Puerto Rico.
Vivian Colón-LópezUniversity of Puerto Rico Comprehensive Cancer Center, Cancer Control and Population Sciences Division, San Juan, Puerto Rico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Timely access to positive, culturally competent healthcare experiences may be critical for transgender and gender diverse (TGD) individuals. However, gaps remain in our understanding of TGD individuals' access to these experiences. Our aim was to determine whether TGD individuals' likelihood of reporting delays in care and positive healthcare provider interactions differs from that of cisgender people. Methods: We analyzed survey data from 89,133 participants who enrolled in the National Institutes of Health's All of Us Research Program from 5/6/2018 to 4/1/2021. Unadjusted and adjusted logistic regressions were performed to assess the association of gender with delays in care in the past 12 months and provider interactions. Results: After adjustment, TGD individuals were more likely than cisgender men to report eight of nine reasons for care delays and more likely than cisgender women to report two of nine reasons. TGD individuals were more likely than cisgender men (OR: 2.20, 95% CI: 1.88-2.58, Conclusion: Our findings indicate that TGD individuals may be more likely than cisgender people to experience delays in care and less likely to experience positive healthcare provider interactions. This suggests a critical need to increase TGD individuals' access to supportive, culturally competent healthcare providers.

Indexed as

barriers to caredelays in caregender diversehealthcare provider interactionstransgender

Identifiers

PMID41333526
PMCPMC12665754

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.