Accepted for/Published in: JMIR Formative Research
Date Submitted: Sep 29, 2025
Open Peer Review Period: Sep 29, 2025 - Nov 24, 2025
Date Accepted: Nov 25, 2025
(closed for review but you can still tweet)
Mapping Provider Availability Using Public Licensure and Population Data: A Feasibility Study of a GIS-Based Approach to Workforce Planning
ABSTRACT
Background:
Access to rehabilitation services is a critical, yet an understudied, dimension of health equity. Among the six domains of access, provider availability, defined as the presence of sufficient providers to meet population needs, is particularly underexplored in rehabilitation professions such as physical and occupational therapy. Current data reporting often lacks the geographic granularity required for effective workforce planning.
Objective:
The purpose of this study was to demonstrate the feasibility of mapping rehabilitation provider availability at the census tract level using Geographic Information Systems (GIS), integrating public licensure and population data to inform equitable workforce planning.
Methods:
A descriptive, cross-sectional study was conducted using publicly available state licensure data for physical and occupational therapists and demographic data from the American Community Survey. Residential provider addresses were geocoded and matched to 2020 census tracts. Provider-to-population ratios were calculated and mapped using choropleth and bivariate mapping techniques. Descriptive and inferential statistics were used to compare sociodemographic characteristics between areas with high and low provider availability.
Results:
Provider availability varied widely across census tracts in Texas, with population-to-provider ratios ranging from 4 to 11,147 individuals per provider. Bivariate maps highlighted census tracts where high disability prevalence intersected with low provider availability, identifying areas of high need.
Conclusions:
This GIS-based study offers a novel, and feasible approach to mapping rehabilitation provider availability. The methodology enables small-area spatial analysis and can be adapted for use across other health professions and geographic regions. Findings support its utility in health equity research and workforce policy development aimed at improving access to care.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.