Expounding 'Access' to Care for Transgender Populations: Bridging Human Rights and Medical Geography Through Transgender Healthcare

Authors: Avery Everhart*, University of Southern California
Topics: Human Rights, Medical and Health Geography, Gender
Keywords: transgender, health and human rights, medical geography, mixed methods, population health
Session Type: Paper
Day: 4/6/2020
Start / End Time: 11:10 AM / 12:25 PM
Room: Director's Row J, Sheraton, Plaza Building, Lobby Level
Presentation File: No File Uploaded

This paper outlines an adaptation of Wan et al's (2012) three-step floating catchment area (3SFCA) method for measuring spatial access to healthcare services to quantify the availability of transgender-specific health programs in the US. Combining data from the National Center for Transgender Equality with a proposed key feature on OpenStreetMap to crowdsource the locations of transgender health programs nationally, I model an application of the 3SFCA for a specific demographic rather than general availability of primary care. The paper demonstrates the limitations of concepts of 'accessibility' within health geography and proposes a reconceptualization of 'access' through the framework of Availability, Accessibility, Acceptability, and Quality (AAAQ) as outlined in general comment 14 on the Right to the Highest Attainable Standard of Health in the International Covenant on Economic, Social, and Cultural Rights. The goal is to demonstrate the utility of existing quantitative geographic methods for health and human rights work with a specific example of modeling a marginalized population's access to population-specific healthcare. In so doing, the paper pushes both rights-based approaches to health and spatial epidemiology/health geography to have more multidisciplinary dialogues and expand our collective understandings of how to progressively realize health and rights for one of the most marginalized populations worldwide. Further, this paper attempts to demonstrate how a focus on specific demographics can elucidate novel applications of existing methods that benefits a much broader population. The paper is a condensed version of a chapter in the author's doctoral dissertation and is a work in progress.

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