PLOS ONE - Transgender Gender Diverse Dataset
Principal Investigator(s): View help for Principal Investigator(s) Tiffany Ho, University of Utah School of Medicine
Version: View help for Version V1
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Project Citation:
Ho, Tiffany. PLOS ONE - Transgender Gender Diverse Dataset. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-04-10. https://doi.org/10.3886/E200141V1
Project Description
Summary:
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This dataset is a retrospective study of de-identified electronic-medical record data of transgender and gender-diverse (TGD; i.e. those whose gender identity does not align with their sex assigned at birth) adults 18 years and older who receive gender-affirming care within the University of Utah healthcare system. Gender-affirming care includes gender-affirming hormone therapy (i.e. estrogen- or testosterone-based medications) and gender-affirming surgeries. The goal of creating this dataset is to contribute to the growing literature needed about the TGD population in order to facilitate public health efforts to address health disparities as well as answer clinically-impactful questions.
Funding Sources:
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University of Utah Department of Family and Preventive Medicine - Health Studies Fund
Scope of Project
Subject Terms:
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transgender;
sexual minority;
gender diverse
Geographic Coverage:
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United States,
Utah
Time Period(s):
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1/1/2003 – 4/30/2023 (Jan 2023 to April 2023)
Universe:
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Adults 18 years and older who identify as transgender or gender diverse, seen at University of Utah Health for gender-affirming care
Data Type(s):
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clinical data;
medical records
Methodology
Sampling:
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The data collection is a pooled cross-sectional time-series of transgender and gender diverse adults who were seen within University of Utah for gender-affirming care from 2003 - April 2023. We identified patients within our electronic health record using International Classification of Diseases (ICD)-9 and ICD-10 codes specific to gender-affirming care, which are consistently used in prior studies. Patient information, including labs, medications, visits, and previous ICD and CPT codes, were extracted from the University of Utah Enterprise Data Warehouse (EDW).
Data Source:
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Electronic health records within University of Utah
Collection Mode(s):
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record abstracts
Unit(s) of Observation:
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Individuals
Geographic Unit:
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Zip Code
Related Publications
Published Versions
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