Unknown

Dataset Information

Using clinician text notes in electronic medical record data to validate transgender-related diagnosis codes.


ABSTRACT:

Objective

Transgender individuals are vulnerable to negative health risks and outcomes, but research remains limited because data sources, such as electronic medical records (EMRs), lack standardized collection of gender identity information. Most EMR do not include the gold standard of self-identified gender identity, but International Classification of Diseases (ICDs) includes diagnostic codes indicating transgender-related clinical services. However, it is unclear if these codes can indicate transgender status. The objective of this study was to determine the extent to which patients' clinician notes in EMR contained transgender-related terms that could corroborate ICD-coded transgender identity.

Methods

Data are from the US Department of Veterans Affairs Corporate Data W

SUBMITTER: Blosnich JR 

PROVIDER: S-EPMC7647015 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature