This study explored healthcare utilization among the Transgender and Gender Non-Binary (TGNB) population of Florida using Geographic Information Systems (GIS) to visualize and analyze the spatial distribution of unmet healthcare needs. The aim was to provide a clear comparison of unmet healthcare needs across various regions, highlight areas with the highest and lowest levels of unmet needs, and understand the demographic factors influencing these disparities. Utilizing survey data from the NIH-funded U=CARE study, which involved TGNB participants aged 18-26 from diverse racial/ethnic and socioeconomic backgrounds, the data were cleaned, geocoded, and analyzed within ArcGIS. Geocoded survey responses were linked to Florida Department of Transportation (FDOT) district boundaries. Choropleth maps were created to represent the percentage of respondents in each geographic unit reporting unmet healthcare needs, with color gradation indicating the intensity of these needs. Regional variations were found, with Northeast Florida and Northwest Florida showing the highest levels of unmet healthcare needs despite having the lowest participant counts, while Central Florida, which had the highest number of participants, also reported a substantial percentage of unmet healthcare needs. A demographic analysis indicated that younger participants, those with lower education levels, and individuals from diverse racial and ethnic backgrounds were more likely to report unmet healthcare needs. Districts with lower socioeconomic status (SES) showed higher levels of unmet needs, underscoring the critical role of socioeconomic factors in healthcare access. This study identifies specific regions and demographic groups with significant unmet healthcare needs, informing targeted healthcare interventions and policies. By integrating spatial and demographic analysis, it provides a comprehensive understanding of healthcare disparities among TGNB young adults in Florida, contributing valuable insights for improving health outcomes across diverse populations and addressing the specific healthcare challenges faced by this community.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2023-1476 |
| Date | 01 January 2024 |
| Creators | Franklin, Nino |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Graduate Thesis and Dissertation 2023-2024 |
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