Collecting Sexual Orientation and Gender Identity Data in Electronic Health Records

2013 ◽  
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health ◽  
And Gender

scholarly journals Planning and implementing sexual orientation and gender identity data collection in electronic health records

2018 ◽  
Vol 26 (1) ◽  
pp. 66-70 ◽  
Author(s):  
Chris Grasso ◽  
Michal J McDowell ◽  
Hilary Goldhammer ◽  
Alex S Keuroghlian
Keyword(s):  
Health Care ◽  
Sexual Orientation ◽  
Data Collection ◽  
Gender Identity ◽  
Electronic Health Records ◽  
Current Evidence ◽  
Institute Of Medicine ◽  
Health Records ◽  
Electronic Health ◽  
And Gender

AbstractLesbian, gay, bisexual, transgender, and queer (LGBTQ) people experience significant health disparities across the life course and require health care that addresses their unique needs. Collecting information on the sexual orientation and gender identity (SO/GI) of patients and entering SO/GI data in electronic health records has been recommended by the Institute of Medicine, the Joint Commission, and the Health Resources and Services Administration as fundamental to improving access to and quality of care for LGBTQ people. Most healthcare organizations, however, have yet to implement a system to collect SO/GI data due to multiple barriers. This report addresses those concerns by presenting recommendations for planning and implementing high-quality SO/GI data collection in primary care and other health care practices based on current evidence and best practices developed by a federally qualified health center and leader in LGBTQ health care.

scholarly journals A rapid review of gender, sex, and sexual orientation documentation in electronic health records

2020 ◽  
Vol 27 (11) ◽  
pp. 1774-1783 ◽  
Author(s):  
Francis Lau ◽  
Marcy Antonio ◽  
Kelly Davison ◽  
Roz Queen ◽  
Aaron Devor
Keyword(s):  
Sexual Orientation ◽  
Electronic Health Records ◽  
Rapid Review ◽  
Culturally Competent ◽  
Care Needs ◽  
Health Records ◽  
Gender Minorities ◽  
Literature Reviews ◽  
Electronic Health ◽  
And Gender

Abstract Objective The lack of precise and inclusive gender, sex, and sexual orientation (GSSO) data in electronic health records (EHRs) is perpetuating inequities of sexual and gender minorities (SGM). We conducted a rapid review on how GSSO documentation in EHRs should be modernized to improve the health of SGM. Materials and Methods We searched MEDLINE from 2015 to 2020 with terms for gender, sex, sexual orientation, and electronic health/medical records. Only literature reviews, primary studies, and commentaries from peer-reviewed journals in English were included. Two researchers screened citations and reviewed articles with help from a third to reach consensus. Covidence, Excel, and Atlas-TI were used to track articles, extract data, and synthesize findings, respectively. Results Thirty-five articles were included. The 5 themes to modernize GSSO documentation in EHRs were (1) creating an inclusive, culturally competent environment with precise terminology and standardized data collection; (2) refining guidelines for identifying and matching SGM patients with their care needs; (3) improving patient-provider relationships by addressing patient rights and provider competencies; (4) recognizing techno-socio-organizational aspects when implementing GSSO in EHRs; and (5) addressing invisibility of SGM by expanding GSSO research. Conclusions The literature on GSSO documentation in EHRs is expanding. While this trend is encouraging, there are still knowledge gaps and practical challenges to enabling meaningful changes, such as organizational commitments to ensure affirming environments, and coordinated efforts to address technical, organizational, and social aspects of modernizing GSSO documentation. The adoption of an inclusive EHR to meet SGM needs is a journey that will evolve over time.

scholarly journals Introducing Sexual Orientation and Gender Identity Into the Electronic Health Record

2015 ◽  
Vol 90 (2) ◽  
pp. 154-160 ◽  
Author(s):  
Edward J. Callahan ◽  
Nicole Sitkin ◽  
Hendry Ton ◽  
W. Suzanne Eidson-Ton ◽  
Julie Weckstein ◽  
...  
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health ◽  
And Gender

Identification of Transgender People With Cancer in Electronic Health Records: Recommendations Based on CancerLinQ Observations

2021 ◽  
Vol 17 (3) ◽  
pp. e336-e342
Author(s):  
Ash B. Alpert ◽  
George A. Komatsoulis ◽  
Stephen C. Meersman ◽  
Elizabeth Garrett-Mayer ◽  
Suanna S. Bruinooge ◽  
...  
Keyword(s):  
Gender Identity ◽  
Electronic Health Records ◽  
Total Population ◽  
Female Gender ◽  
The United States ◽  
Current Data ◽  
Health Records ◽  
Transgender People ◽  
Transgender Identity ◽  
Electronic Health

PURPOSE: Cancer prevalence and outcomes data, necessary to understand disparities in transgender populations, are significantly hampered because gender identity data are not routinely collected. A database of clinical data on people with cancer, CancerLinQ, is operated by the ASCO and collected from practices across the United States and multiple electronic health records. METHODS: To attempt to identify transgender people with cancer within CancerLinQ, we used three criteria: (1) International Classification of Diseases 9/10 diagnosis (Dx) code suggestive of transgender identity; (2) male gender and Dx of cervical, endometrial, ovarian, fallopian tube, or other related cancer; and (3) female gender and Dx of prostate, testicular, penile, or other related cancer. Charts were abstracted to confirm transgender identity. RESULTS: Five hundred fifty-seven cases matched inclusion criteria and two hundred and forty-two were abstracted. Seventy-six percent of patients with Dx codes suggestive of transgender identity were transgender. Only 2% and 3% of the people identified by criteria 2 and 3 had evidence of transgender identity, respectively. Extrapolating to nonabstracted data, we would expect to identify an additional four individuals in category 2 and an additional three individuals in category 3, or a total of 44. The total population in CancerLinQ is approximately 1,300,000. Thus, our methods could identify 0.003% of the total population as transgender. CONCLUSION: Given the need for data regarding transgender people with cancer and the deficiencies of current data resources, a national concerted effort is needed to prospectively collect gender identity data. These efforts will require systemic efforts to create safe healthcare environments for transgender people.

scholarly journals Implementation of Gender Identity and Assigned Sex at Birth Data Collection in Electronic Health Records: Where Are We Now?

2021 ◽  
Vol 18 (12) ◽  
pp. 6599
Author(s):  
Hale M. Thompson ◽  
Clair A. Kronk ◽  
Ketzel Feasley ◽  
Paul Pachwicewicz ◽  
Niranjan S. Karnik
Keyword(s):  
Data Collection ◽  
Gender Identity ◽  
Electronic Health Records ◽  
Data Quality ◽  
Hospital Admissions ◽  
The United States ◽  
Patient Comfort ◽  
United States Department ◽  
Health Records ◽  
Electronic Health

In 2015, the United States Department of Health and Human Services instantiated rules mandating the inclusion of sexual orientation and gender identity (SO/GI) data fields for systems certified under Stage 3 of the Meaningful Use of Electronic Health Records (EHR) program. To date, no published assessments have benchmarked implementation penetration and data quality. To establish a benchmark for a U.S. health system collection of gender identity and sex assigned at birth, we analyzed one urban academic health center’s EHR data; specifically, the records of patients with unplanned hospital admissions during 2020 (N = 49,314). Approximately one-quarter of patient records included gender identity data, and one percent of them indicated a transgender or nonbinary (TGNB) status. Data quality checks suggested limited provider literacy around gender identity as well as limited provider and patient comfort levels with gender identity disclosures. Improvements are needed in both provider and patient literacy and comfort around gender identity in clinical settings. To include TGNB populations in informatics-based research, additional novel approaches, such as natural language processing, may be needed for more comprehensive and representative TGNB cohort discovery. Community and stakeholder engagement around gender identity data collection and health research will likely improve these implementation efforts.

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