Sexual Orientation Demographic Data in a Clinical Cohort of Transgender Patients.


Journal

Applied clinical informatics
ISSN: 1869-0327
Titre abrégé: Appl Clin Inform
Pays: Germany
ID NLM: 101537732

Informations de publication

Date de publication:
03 2021
Historique:
pubmed: 18 3 2021
medline: 16 11 2021
entrez: 17 3 2021
Statut: ppublish

Résumé

There are specific issues regarding sexual orientation (SO) collection and analysis among transgender and nonbinary patients. A limitation to meaningful SO and gender identity (GI) data collection is their consideration as a fixed trait or demographic data point. A de-identified patient database from a single electronic health record (EHR) that allows for searching any discrete data point in the EHR was used to query demographic data (sex assigned at birth and current GI) for transgender individuals from January 2011 to March 2020 at a large urban tertiary care academic health center. A cohort of transgender individuals were identified by using EHR data from a two-step demographic question. Almost half of male identified (46.70%, Current SO categories do not fully capture transgender individuals' identities and experiences, and limit the clinical and epidemiological utility of collecting this data in the current form. Anatomical assumptions based on SO should be seen as a potential shortcoming in over-reliance on SO as an indicator of screening needs and risk factors.

Sections du résumé

BACKGROUND
There are specific issues regarding sexual orientation (SO) collection and analysis among transgender and nonbinary patients. A limitation to meaningful SO and gender identity (GI) data collection is their consideration as a fixed trait or demographic data point.
METHODS
A de-identified patient database from a single electronic health record (EHR) that allows for searching any discrete data point in the EHR was used to query demographic data (sex assigned at birth and current GI) for transgender individuals from January 2011 to March 2020 at a large urban tertiary care academic health center.
RESULTS
A cohort of transgender individuals were identified by using EHR data from a two-step demographic question. Almost half of male identified (46.70%,
CONCLUSION
Current SO categories do not fully capture transgender individuals' identities and experiences, and limit the clinical and epidemiological utility of collecting this data in the current form. Anatomical assumptions based on SO should be seen as a potential shortcoming in over-reliance on SO as an indicator of screening needs and risk factors.

Identifiants

pubmed: 33730758
doi: 10.1055/s-0041-1725184
pmc: PMC7968987
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

222-228

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

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Auteurs

Samuel Dubin (S)

NYU Langone Health, New York University School of Medicine, New York, New York, United States.

Tiffany E Cook (TE)

NYU Langone Health, New York University School of Medicine, New York, New York, United States.

Asa Radix (A)

Callen Lorde Community Health Center, NYU Grossman School of Medicine, New York City, New York, United States.

Richard E Greene (RE)

NYU Langone Health, New York University School of Medicine, New York, New York, United States.

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