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Foer D, Rubins DM, Nguyen V, McDowell A, Quint M, Kellaway M, Reisner SL, Zhou L, Bates DW. Utilization of electronic health record sex and gender demographic fields: a metadata and mixed methods analysis. J Am Med Inform Assoc 2024; 31:910-918. [PMID: 38308819 PMCID: PMC10990507 DOI: 10.1093/jamia/ocae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/12/2023] [Accepted: 01/17/2024] [Indexed: 02/05/2024] Open
Abstract
OBJECTIVES Despite federally mandated collection of sex and gender demographics in the electronic health record (EHR), longitudinal assessments are lacking. We assessed sex and gender demographic field utilization using EHR metadata. MATERIALS AND METHODS Patients ≥18 years of age in the Mass General Brigham health system with a first Legal Sex entry (registration requirement) between January 8, 2018 and January 1, 2022 were included in this retrospective study. Metadata for all sex and gender fields (Legal Sex, Sex Assigned at Birth [SAAB], Gender Identity) were quantified by completion rates, user types, and longitudinal change. A nested qualitative study of providers from specialties with high and low field use identified themes related to utilization. RESULTS 1 576 120 patients met inclusion criteria: 100% had a Legal Sex, 20% a Gender Identity, and 19% a SAAB; 321 185 patients had field changes other than initial Legal Sex entry. About 2% of patients had a subsequent Legal Sex change, and 25% of those had ≥2 changes; 20% of patients had ≥1 update to Gender Identity and 19% to SAAB. Excluding the first Legal Sex entry, administrators made most changes (67%) across all fields, followed by patients (25%), providers (7.2%), and automated Health Level-7 (HL7) interface messages (0.7%). Provider utilization varied by subspecialty; themes related to systems barriers and personal perceptions were identified. DISCUSSION Sex and gender demographic fields are primarily used by administrators and raise concern about data accuracy; provider use is heterogenous and lacking. Provider awareness of field availability and variable workflows may impede use. CONCLUSION EHR metadata highlights areas for improvement of sex and gender field utilization.
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Affiliation(s)
- Dinah Foer
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - David M Rubins
- Harvard Medical School, Boston, MA 02115, United States
- Mass General Brigham Digital, Somerville, MA 02145, United States
| | - Vi Nguyen
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA 02115, United States
| | - Alex McDowell
- Harvard Medical School, Boston, MA 02115, United States
- Health Policy Research Institute, Mongan Institute, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Meg Quint
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women’s Hospital, Boston, MA 02115, United States
| | - Mitchell Kellaway
- Adult Primary Care, Boston Medical Center, Boston, MA 02118, United States
| | - Sari L Reisner
- Harvard Medical School, Boston, MA 02115, United States
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women’s Hospital, Boston, MA 02115, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
| | - Li Zhou
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - David W Bates
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
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