Evidence map›Paper›PMID 40672983›Full record

ArticleHealth equity2025

Beyond the Binary: Advancing Gender-Inclusive Data Policy for Health Equity in the US National Provider Identifier System.

Jeremy W Jacobs, Shazia S Khan, Laura D Stephens, Garrett S Booth

Abstract read
In one paragraph

Article in Health equity, 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.

Jeremy W JacobsDepartment of Pathology, Microbiology, & Immunology, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-5719-9685
Shazia S KhanDepartments of Pathology and Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Laura D StephensDepartment of Pathology, University of California San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0002-9101-9326
Garrett S BoothDepartment of Pathology, Microbiology, & Immunology, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-8422-9480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving health equity requires data systems that recognize and reflect provider diversity. The National Provider Identifier (NPI) system underpins United States health care administration, yet its gender data standards remain outdated, conflating sex and gender and lacking inclusive options. These deficiencies undermine research, equity initiatives, and the visibility of transgender and nonbinary providers. In an era of growing political hostility to diversity, administrative neutrality is insufficient. The National Plan and Provider Enumeration System must establish itself as a model of gender-inclusive policy by separating sex and gender variables, expanding identity categories, and implementing transparent, regularly updated standards grounded in science.

Indexed as

databasesdiversityequitygenderhealth carehealth policyinclusionsex

Identifiers

PMID40672983
PMCPMC12266944

What OpenQuestion holds

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LicenceCC BY
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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.