Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Child
Child, Preschool
Decision Support Techniques
Electronic Health Records
Female
Gender Identity
Hormone Replacement Therapy
/ methods
Humans
Infant
Male
Middle Aged
Phenotype
Reproducibility of Results
Sex Reassignment Procedures
Sexual and Gender Minorities
/ psychology
Transgender Persons
/ psychology
Young Adult
Journal
AMIA ... Annual Symposium proceedings. AMIA Symposium
ISSN: 1942-597X
Titre abrégé: AMIA Annu Symp Proc
Pays: United States
ID NLM: 101209213
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
3
5
2021
pubmed:
4
5
2021
medline:
12
6
2021
Statut:
epublish
Résumé
Transgender and gender nonconforming (TGNC) individuals face significant marginalization, stigma, and discrimination. Under-reporting of TGNC individuals is common since they are often unwilling to self-identify. Meanwhile, the rapid adoption of electronic health record (EHR) systems has made large-scale, longitudinal real-world clinical data available to research and provided a unique opportunity to identify TGNC individuals using their EHRs, contributing to a promising routine health surveillance approach. Built upon existing work, we developed and validated a computable phenotype (CP) algorithm for identifying TGNC individuals and their natal sex (i.e., male-to-female or female-to-male) using both structured EHR data and unstructured clinical notes. Our CP algorithm achieved a 0.955 F1-score on the training data and a perfect F1-score on the independent testing data. Consistent with the literature, we observed an increasing percentage of TGNC individuals and a disproportionate burden of adverse health outcomes, especially sexually transmitted infections and mental health distress, in this population.
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
514-523Subventions
Organisme : NCI NIH HHS
ID : R01 CA246418
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA245858
Pays : United States
Organisme : NCCDPHP CDC HHS
ID : U18 DP006512
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001427
Pays : United States
Informations de copyright
©2020 AMIA - All rights reserved.
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