Beyond Gender Identity Disorder Diagnoses Codes: An Examination of Additional Methods to Identify Transgender Individuals in Administrative Databases.
Med Care
; 58(10): 903-911, 2020 10.
Article
em En
| MEDLINE
| ID: mdl-32925416
ABSTRACT
BACKGROUND:
Large administrative databases often do not capture gender identity data, limiting researchers' ability to identify transgender people and complicating the study of this population.OBJECTIVE:
The objective of this study was to develop methods for identifying transgender people in a large, national dataset for insured adults. RESEARCHDESIGN:
This was a retrospective analysis of administrative claims data. After using gender identity disorder (GID) diagnoses codes, the current method for identifying transgender people in administrative data, we used the following 2 strategies to improve the accuracy of identifying transgender people that involved (1) Endocrine Disorder Not Otherwise Specified (Endo NOS) codes and a transgender-related procedure code; or (2) Receipt of sex hormones not associated with the sex recorded in the patient's chart (sex-discordant hormone therapy) and an Endo NOS code or transgender-related procedure code.SUBJECTS:
Seventy-four million adults 18 years and above enrolled at some point in commercial or Medicare Advantage plans from 2006 through 2017.RESULTS:
We identified 27,227 unique transgender people overall; 18,785 (69%) were identified using GID codes alone. Using Endo NOS with a transgender-related procedure code, and sex-discordant hormone therapy with either Endo NOS or transgender-related procedure code, we added 4391 (16%) and 4051 (15%) transgender people, respectively. Of the 27,227 transgender people in our cohort, 8694 (32%) were transmasculine, 3959 (15%) were transfeminine, and 14,574 (54%) could not be classified.CONCLUSION:
In the absence of gender identity data, additional data elements beyond GID codes improves the identification of transgender people in large, administrative claims databases.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Bases de Dados Factuais
/
Pessoas Transgênero
/
Análise de Dados
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
Limite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
País/Região como assunto:
America do norte
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article