Transgender Data Collection in the Electronic Health Record (EHR): Current Concepts and Issues

Clair Kronk, Avery R. Everhart, Florence Ashley, Hale Thompson, Theodore E. Schall, Teddy G. Goetz, Laurel Hiatt, Zackary Derrick, Roz Queen and A Ram
Additional contact information
Avery R. Everhart: University of Southern California

No qnc2g, SocArXiv from Center for Open Science

Abstract: There are over one million transgender people living in the United States and 33% report negative experiences with a healthcare provider, many of which are connected to data representation in electronic health records (EHRs). We present recommendations and common pitfalls involving sex- and gender-related data collection in EHRs. Our recommendations leverage the needs of patients, medical providers, and researchers to optimize both individual patient experiences and the efficacy and reproducibility of EHR population-based studies. We also briefly discuss adequate additions to the EHR considering name and pronoun usage. We add the disclaimer that these questions are more complex than commonly assumed. We conclude that collaborations between local transgender and gender-diverse persons and medical providers as well as open inclusion of transgender and gender-diverse individuals on terminology and standards boards is crucial to shifting the paradigm in transgender and gender-diverse health.

Date: 2021-05-19
New Economics Papers: this item is included in nep-hea
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://osf.io/download/60a5454fe2a9800127a6139d/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:qnc2g

DOI: 10.31219/osf.io/qnc2g

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().