Sex and Gender Variables in Data Set Creation and Data Cleaning for Inclusive and Accurate Reproductive Health Research and Quality Improvement
Current EHRs may not have reliable data on the gender and sex of gender-diverse individuals. A single sex and gender variable drawn from EHRs should not be used as inclusion or exclusion criteria for health research or quality improvement without additional record review. EHRs can be updated to collect more data on sex, gender identity, and other relevant variables to improve research and quality improvement.
Authors
- Gilbert Gonzales (ORCID: https://orcid.org/0000-0002-4054-6564)
- Wei‐Qi Wei
- Andrew David Wiese (ORCID: https://orcid.org/0000-0002-0699-4224)
- Stephen W. Patrick (ORCID: https://orcid.org/0000-0001-6958-0371)
- Julia C. Phillippi (ORCID: https://orcid.org/0000-0002-6549-094X)
- Henry H. Ong (ORCID: https://orcid.org/0000-0001-7960-7363)
- Sarah F. Loch (ORCID: https://orcid.org/0000-0001-5500-4680)
Institutions
- Emory University (US)
- Vanderbilt University (US)
- Vanderbilt Health (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of Midwifery & Women s Health
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1111/jmwh.13698
- Citations
- 1
- Primary Topic
- Sex and Gender in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.54
Funders
- Vanderbilt University
- Vanderbilt University Medical Center
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health
- National Institute of Child Health and Human Development
- National Center for Advancing Translational Sciences