Dataset Information

Measuring Sexual and Gender Minority Populations in Health Surveillance.

ABSTRACT: Sexual and gender minorities (SGMs) are underrepresented and information about SGMs is difficult to locate in national health surveillance data, and this limits identification and resolution of SGM health disparities. It is also not known how measures of sexual orientation and transgender-inclusive gender identity in health surveillance compare with best practice recommendations. This article reviews and summarizes the publicly available, English language, large-scale, rigorously sampled, national, international, and regional data sources that include sexual orientation or transgender-inclusive gender identity and compares measures with best practice guidelines.A systematic review was undertaken of national, international, state, and regional health surveillance data sources. Data sources that measured sexual orientation or transgender-inclusive gender identity and met seven inclusion criteria were included.Forty-three publicly accessible national, international, and regional data sources included measures of sexual orientation and transgender-inclusive gender identity and health. For each data source, sampling design, sample characteristics, study years, survey questions, contact persons, and data access links are provided. Few data sources met best practice recommendations for SGM measurement: 14% measured all three dimensions of sexual orientation (identity, behavior, attraction) as recommended by the Sexual Minority Assessment Research Team. No data sources measured transgender-inclusive gender identity according to the Gender Identity in U.S. Surveillance-recommended two-step method of measuring sex assigned at birth and current gender identity.This article provides a much needed detailed summary of extant health surveillance data sources that can be used to inform research about health risks and disparities among SGM populations. Future recommendations are for more rigorous measurement and oversampling to advance what is known about SGM health disparities and guide development of interventions to reduce disparities.

SUBMITTER: Patterson JG

PROVIDER: S-EPMC5404274 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Measuring Sexual and Gender Minority Populations in Health Surveillance.

Patterson Joanne G JG Jabson Jennifer M JM Bowen Deborah J DJ

LGBT health 20170313 2

<h4>Purpose</h4>Sexual and gender minorities (SGMs) are underrepresented and information about SGMs is difficult to locate in national health surveillance data, and this limits identification and resolution of SGM health disparities. It is also not known how measures of sexual orientation and transgender-inclusive gender identity in health surveillance compare with best practice recommendations. This article reviews and summarizes the publicly available, English language, large-scale, rigorously ...[more]

PMID: 28287877

Similar Datasets

Project description:ImportanceLittle is known about the neurologic health needs of sexual and gender minority (SGM) individuals, and existing research indicates health care disparities for this group.ObjectiveTo describe the current state of science in SGM neurology and highlight areas of knowledge and gaps to guide future research.Evidence reviewAll articles published before April 12, 2020, in PubMed, Embase, Web of Science, PsycInfo, CINAHL, and BIOSIS Previews were searched using a search string encompassing SGM descriptors and neurologic disorders. A total of 8359 items were found and entered into EndNote, and 2921 duplicates were removed. A blind title and abstract review was performed followed by full-text review in duplicate, with conflicts settled through consensus, to identify 348 articles eligible for data abstraction. Articles presenting primary data about an identified adult SGM population addressing a clinical neurology topic were included. Descriptive statistics were used for abstracted variables.FindingsOf 348 studies, 205 (58.9%) were case reports or series, 252 (72.4%) included sexual minority cisgender men, and 247 (70.9%) focused on HIV. An association was found between autism spectrum disorder and gender dysphoria in 9 of 16 studies (56.3%), and a higher risk of ischemic stroke in transgender women was shown in other studies. Literature in neuroinfectious disease, the most common topic, largely focused on HIV (173 of 200 studies [86.5%]). Findings in other neurologic topics were limited by lack of data.Conclusions and relevanceIn this rigorous compendium of SGM neurology literature, several deficiencies were found: most studies focused on a limited breadth of neurologic pathology, included only a portion of the overall SGM community, and did not assess other aspects of sociodemographic diversity that may contribute to disparities in health care access and outcomes among SGM individuals. Expanding neurologic research to include broader representation of SGM individuals and incorporating sociodemographic factors, like race/ethnicity and socioeconomic status, are essential steps toward providing equitable neurologic care for this community.

Project description:INTRODUCTION:Compared with heterosexual, cisgender populations, sexual and gender minority (SGM) people are more likely to suffer from serious health conditions and insufficient access to health services. Primary care is at the frontlines of healthcare delivery; yet, few clinics have resources or mechanisms in place to meet SGM patient needs. This developmental study protocol focuses on reducing health disparities among SGM patients by identifying, adapting and developing SGM practice guidelines/recommendations and implementation strategies for primary care clinics in urban and rural New Mexico. Using input from patients, healthcare advocates and providers, and researchers, the study will pilot a practice parameter and implementation toolkit to promote SGM-specific cultural competence at multiple service delivery levels. METHODS AND ANALYSIS:We will recruit providers/staff from four Federally Qualified Health Centers (FQHCs) serving ethnically and geographically diverse communities. Incorporating the Implementation of Change Model and an intersectionality perspective, data collection includes a systematic review of SGM-specific practice guidelines/recommendations, focus groups and semistructured interviews, quantitative surveys and the Nominal Group Technique (NGT) with providers/staff. We will categorise guidelines/recommendations identified through the review by shared elements, use iterative processes of open and focused coding to analyse qualitative data from focus groups, interviews and the NGT, and apply descriptive statistics to assess survey data. Findings will provide the foundation for the toolkit. Focus groups with SGM patients will yield supplemental information for toolkit refinement. To investigate changes in primary care contexts following the toolkit's pilot, we will undertake systematic walkthroughs and document review at the FQHCs, analysing these data qualitatively to examine SGM inclusiveness. The structured data-informed Plan-Do-Study-Act method will enable further revision of the toolkit. Finally, focus groups, interviews and quantitative surveys with providers/staff will highlight changes made in the FQHCs to address SGM patient needs, barriers to sustainment of changes, satisfaction, acceptability, usability and feasibility of the toolkit. ETHICS AND DISSEMINATION:The study has been reviewed and approved by the Pacific Institute for Research and Evaluation Institutional Review Board. Informed consent will be obtained from all participants before their involvement in research activities begins. Study results will be actively disseminated through peer-reviewed journals, conference presentations, social media and the internet, and community/stakeholder engagement activities.

Dataset Information

Measuring Sexual and Gender Minority Populations in Health Surveillance.

Publications

Measuring Sexual and Gender Minority Populations in Health Surveillance.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets