Evidence map›Paper›PMID 42433385›Full record

ArticleHealth services insights2026

The Impact of COVID-19 on Healthcare Access for Gender-Diverse Adults: A Qualitative Study.

Saniya Sahasrabudhe, Jaylin Snyder, Ellesse-Roselee Akré

Abstract read
In one paragraph

Article in Health services insights, 2026. 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

3 authors.

Saniya SahasrabudheDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID https://orcid.org/0009-0000-7021-4141
Jaylin SnyderDepartment of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID https://orcid.org/0009-0003-7666-5076
Ellesse-Roselee AkréDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-2380-6344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transgender and gender-diverse (TGD) individuals, whose well-being relies on gender-affirming care, faced heightened barriers during the COVID-19 pandemic. Structural inequities intensified as non-emergent services were deprioritized. Objective: In this paper we examined changes and delays in healthcare access by TGD populations across the United States during the COVID-19 pandemic. Methods & Design: From September 2022 through March 2023, we administered an online survey to TGD adults in the United States. Participants responded to the question, "How did COVID-19 impact your experience accessing healthcare?" We used inductive coding and thematic analysis techniques to analyze the 87 responses. Results: Response themes were: (1) shift to telehealth, (2) availability and access and why those were limited, (3) affordability, (4) delays in gender-affirming care, and (5) delays in healthcare overall. Participants frequently discussed telehealth shifts and access limitations. Conclusion: TGD individuals face significant, structurally rooted healthcare barriers that COVID-19 intensified. Integrating gender-affirming care into comprehensive healthcare systems is essential for ensuring accessible care for TGD populations. Additionally, creating and reforming relevant policies with input from TGD individuals can help reduce healthcare access disparities going forward and in future crises.

Indexed as

access to careCOVID-19[gender-affirmingtransgender and gender-diverse]

Identifiers

PMID42433385
PMCPMC13351221

What OpenQuestion holds

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LicenceCC BY-NC
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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.