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      Patterns of gender identity data within electronic health record databases can be used as a tool for identifying and estimating the prevalence of gender-expansive people

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          Abstract

          Objective

          Electronic health records (EHRs) within the United States increasingly include sexual orientation and gender identity (SOGI) fields. We assess how well SOGI fields, along with International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes and medication records, identify gender-expansive patients.

          Materials and Methods

          The study used a data set of all patients that had in-person inpatient or outpatient encounters at an academic medical center in a rural state between December 1, 2018 and February 17, 2022. Chart review was performed for all patients meeting at least one of the following criteria: differences between legal sex, sex assigned at birth, and gender identity (excluding blank fields) in the EHR SOGI fields; ICD-10 codes related to gender dysphoria or unspecified endocrine disorder; prescription for estradiol or testosterone suggesting use of gender-affirming hormones.

          Results

          Out of 123 441 total unique patients with in-person encounters, we identified a total of 2236 patients identifying as gender-expansive, with 1506 taking gender-affirming hormones. SOGI field differences or ICD-10 codes related to gender dysphoria or both were found in 2219 of 2236 (99.2%) patients who identify as gender-expansive, and 1500 of 1506 (99.6%) taking gender-affirming hormones. For the gender-expansive population, assigned female at birth was more common in the 12–29 year age range, while assigned male at birth was more common for those 40 years and older.

          Conclusions

          SOGI fields and ICD-10 codes identify a high percentage of gender-expansive patients at an academic medical center.

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          Most cited references44

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          "I don't think this is theoretical; this is our lives": how erasure impacts health care for transgender people.

          For people who are transgender, transsexual, or transitioned (trans), access to primary, emergency, and transition-related health care is often problematic. Results from Phase I of the Trans PULSE Project, a community-based research project in Ontario, Canada, are presented. Based on qualitative data from focus groups with 85 trans community members, a theoretical framework describing how erasure functions to impact experiences interacting with the health care system was developed. Two key sites of erasure were identified: informational erasure and institutional erasure. How these processes work in a mutually reinforcing manner to erase trans individuals and communities and produce a system in which a trans patient or client is seen as an anomaly is shown. Thus, the impetus often falls on trans individuals to attempt to remedy systematic deficiencies. The concept of cisnormativity is introduced to aid in explaining the pervasiveness of trans erasure. Strategies for change are identified.
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            The Amsterdam Cohort of Gender Dysphoria Study (1972–2015): Trends in Prevalence, Treatment, and Regrets

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              • Article: not found

              Prevalence of Transgender Depends on the "Case" Definition: A Systematic Review.

              A systematic review and meta-analysis was conducted to evaluate how various definitions of transgender affect prevalence estimates.
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                Author and article information

                Contributors
                Journal
                JAMIA Open
                JAMIA Open
                jamiaoa
                JAMIA Open
                Oxford University Press
                2574-2531
                July 2023
                24 June 2023
                24 June 2023
                : 6
                : 2
                : ooad042
                Affiliations
                Carver College of Medicine, University of Iowa , Iowa City, Iowa, USA
                Department of Laboratory Medicine, University of Washington , Seattle, Washington, USA
                LetsGetChecked Laboratories , Monrovia, California, USA
                Department of Family Medicine, University of Iowa , Iowa City, Iowa, USA
                Department of Pathology, University of Iowa Hospitals and Clinics , Iowa City, Iowa, USA
                Author notes
                Corresponding Author: Matthew D. Krasowski, MD, PhD, Department of Pathology, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, C-671 GH, Iowa City, IA 52242, USA; matthew-krasowski@ 123456uiowa.edu
                Author information
                https://orcid.org/0000-0002-6966-9904
                https://orcid.org/0000-0003-0856-8402
                Article
                ooad042
                10.1093/jamiaopen/ooad042
                10290553
                37359949
                a6fa2a36-22e2-49bb-8d0e-212d401fc4fb
                © The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 14 April 2023
                : 02 June 2023
                : 08 June 2023
                : 10 June 2023
                Page count
                Pages: 12
                Categories
                Research and Applications
                AcademicSubjects/SCI01530
                AcademicSubjects/MED00010
                AcademicSubjects/SCI01060

                gender identity,medical informatics,pathology,population health,sex,transgender

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