Beyond Gender Identity Disorder Diagnoses Codes: An Examination of Additional Methods to Identify Transgender Individuals in Administrative Databases.

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.

Research design

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)

SUBMITTER: Jasuja GK 

PROVIDER: S-EPMC8010422 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature