Evidence map›Paper›PMID 42517012›Full record

ArticleInternational journal of transgender health2026

Including gender data in electronic health records to improve the care provided to transgender and non-binary patients in Quebec: A queer bioethics analysis.

Clara Tardif, B Godard

Abstract read
In one paragraph

Article in International journal of transgender health, 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

2 authors.

Clara TardifSchool of Public Health, Université de Montréal, Montréal, Canada.
B GodardSchool of Public Health, Université de Montréal, Montréal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In 2011, the Institute of Medicine (IOM) released the first report to comprehensively compile the state of knowledge on LGBTQIA+ health at different stages of life. This report highlighted the need to include data on gender identity in electronic health records (EHRs), in addition to birth-assigned sex, to improve care for transgender or non-binary (TNB) patients and reduce health disparities. Quebec has yet to implement this change. Given the significant discrimination, marginalization and violence TNB patients face in healthcare, carefully examining the risks and potential benefits of this proposal through an ethical analysis is essential. This study aims to determine whether systematically including gender data in Quebec EHRs is ethically advisable. Methods: A critical interpretive literature review was conducted on three online databases (PubMed, ScienceDirect, and Google Scholar) to examine the proposition of gender data inclusion in EHRs. The findings were critically assessed through a queer bioethics lens. Results and discussion: We retrieved 24 articles that met our inclusion criteria. Four themes were identified and analyzed: 1) hierarchical binaries embedded in EHRs; 2) potential of increased stigmatization due to heightened visibility; 3) significance of gender-affirming clinical environments; and 4) clinical significance of documenting both birth-assigned sex and gender data. Conclusion: This analysis identifies key ethical considerations that must be addressed and ultimately finds that the benefits of including gender data in Quebec EHRs outweigh the risks. This change would represent a meaningful step toward a system that better affirms diverse identities, supports self-determination, and challenges normative frameworks in place.

Indexed as

healthcare equityHealth recordsnon-binaryqueer bioethicstransgender

Identifiers

PMID42517012
PMCPMC13403454

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.