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Leveraging Big Data for Transgender and Gender Minority Health Equity Research

利用大数据进行跨性别和性别少数群体健康公平研究

基本信息

批准号：
10430577
负责人：
Gilbert Gonzales
金额：
$ 22.58万
依托单位：
VANDERBILT UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-01 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10430577
关键词：
Academy Administrator Adolescent Medicine Adult Age American Behavioral Behavioral Risk Factor Surveillance System Big Data Cardiovascular Diseases Caring Childhood Clinical Code Country Data Data Collection Dementia Development Diagnosis Discrimination Education Employment Environment Ethnic Origin Exhibits FAIR principles Feeling suicidal Fertility Follow-Up Studies Future Gender Gender Identity Geography Goals HIV Health Health Fairs Health Insurance Health Surveys Healthcare Housing Individual Institute of Medicine (U.S.)Intersex Intervention Knowledge Lead Longitudinal cohort Malignant Neoplasms Medical Medicare Medicine Minority Minority Health Research Monitor National Institute on Minority Health and Health Disparities Outcome Participant Persons Policies Population Privatization Procedures Psyche structure Quasi-experiment Race Records Reduce health disparities Reporting Research Research Design Research Personnel Research Project Grants Sample Size Sampling Scientific Advances and Accomplishments Sexual Health Sexual and Gender Minorities Suicide attempt Surveys Time United States United States National Institutes of Health Veterans Health Administration Violence barrier to care cisgender cohort comparison group experience gender minority gender minority group gender minority health gender minority health disparity gender nonconforming health data health disparity health equity health service use improve minority health improved insurance claims interest large datasets maltreatment minority health disparity minority patient negative affect novel population based population health programs psychological distress public health relevance repository response social social health determinants social stigma transgender

项目摘要

PROJECT SUMMARY Health disparities and barriers to health care for gender minorities (i.e., transgender, gender non-conforming, non-binary, intersex individuals, and other minority gender identities) have been identified and targeted for elimination by numerous organizations and agencies, including the National Institutes of Health. A growing body of research indicates that gender minorities experience widespread discrimination and stigma in various contexts (e.g., health care, employment, housing, public accommodations, and education) — which negatively affects their physical, mental, behavioral, and social health. More concerning is the absence of robust data collection efforts needed to monitor the health needs of gender minority (GM) populations in the United States. The goal of this project is to develop the world’s largest cohort of gender minority (GM) patients using private health insurance claims data that contains more than 33 billion claim records and over 150 million covered lives in the United States. Using data from FAIR Health (a repository of private insurance claims submitted by over 60 national and regional payors and third-party administrators), this project will identify, describe, and compare health outcomes, health services utilization, and the social determinants of health between a matched cohort of GM and non-GM patients. We will also evaluate correlations between state policy environments and health disparities between GM and non-GM patients in FAIR Health data. Finally, we will identify a longitudinal cohort of GM and non-GM individuals to follow over time. This project will lead to new discoveries in understanding health outcomes, health services utilization, and the social determinants of health for GM people in the United States.

项目总结