Evidence map›Paper›PMID 39752161›Full record

ArticleJAMA network open2025

Validating a Case Definition for Transgender Adults Using Administrative Data.

Chantal L Rytz, James A King, Nathalie Saad, Paul E Ronksley, Ranjani Somayaji, Satish R Raj, Sandra M Dumanski, Amelia M Newbert, Lindsay D Peace, Sofia B Ahmed

Abstract readValidation Study
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Chantal L RytzCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
James A KingCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Nathalie SaadDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Paul E RonksleyCentre for Health Informatics, University of Calgary, Calgary, Alberta, Canada.
Ranjani SomayajiDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Satish R RajCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Sandra M DumanskiCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Amelia M NewbertSkipping Stone Foundation, Calgary, Alberta, Canada.
Lindsay D PeaceSkipping Stone Foundation, Calgary, Alberta, Canada.
Sofia B AhmedCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

CIHR
6 · The paper itself

Abstract

Importance: Administrative health data serve as promising data sources to study transgender health at a population level in the absence of self-reported gender identity. Objective: To develop and validate case definitions identifying transgender adults in administrative data compared with the reference standard of self-reported gender identity in a universal health care setting. Design, Setting, and Participants: In this cohort study conducted in Alberta, Canada, data from provincial administrative health data sources including inpatient hospitalizations, emergency department encounters, primary care visits, prescription drug dispensations, and the provincial health insurance registry were linked and used to develop 15 case definitions (9 for transgender women and 6 for transgender men). Participants aged 18 years or older with a provincial health care number between April 1, 1994, and March 31, 2021, were included and stratified by sex marker (eg, female or male) at study entry. Data analysis was from December 2023 to March 2024. Main Outcomes and Measures: For each case definition, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated against the reference standard of self-reported gender identity. Results: In this cohort study of 5 375 735 individuals, the reference standard consisted of 141 self-identified transgender women, 174 self-identified transgender men, 111 self-identified cisgender women, and 65 self-identified cisgender men. The final cohort representing transgender women participants who met at least 1 case definition and/or were part of the standard reference totaled 63 977. Combining a case definition employing male sex registry identification and 2 or more dispensations of estrogen or a case definition employing male sex registry identification and at least 1 gender-related diagnostic code demonstrated a sensitivity of 86.6% (95% CI, 79.9%-91.7%), specificity of 62.5% (95% CI, 51.5%-72.6%), PPV of 78.8% (95% CI, 71.6%-85.0%), and NPV of 74.3% (95% CI, 62.8%-83.8%). The final cohort representing transgender men participants who met at least 1 case definition and/or were part of the standard reference totaled 26 852. Combining a case definition employing female sex registry identification and 2 or more dispensations of testosterone or a case definition employing female sex registry identification and at least 1 gender-related diagnostic code demonstrated a sensitivity of 78.2% (95% CI, 71.3%-84.1%), specificity of 89.2% (95% CI, 82.2%-94.1%), PPV of 91.3% (95% CI, 85.5%-95.3%), and NPV of 73.8% (95% CI, 65.8%-80.7%). Conclusion and Relevance: These findings suggest that case definitions using transgender-related diagnostic codes and gender-affirming hormone prescriptions can be used to study the epidemiology, disease burden, and health care utilization of transgender populations.

Indexed as

Transgender PersonsAdultAlbertaCohort StudiesFemaleGender IdentityHumansMaleMiddle AgedSelf ReportYoung Adult

Identifiers

PMID39752161
PMCPMC11699535

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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.