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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)

The final, peer-reviewed published version of this preprint can be found here:

Mapping the Availability of Rehabilitation Providers Using Public Licensure and Population Data for a Geographic Information System–Based Approach to Workforce Planning: Cross-Sectional Feasibility Study

Ratoza M, Patel RM, Chevan J, Brewer W, Mitchell K

Mapping the Availability of Rehabilitation Providers Using Public Licensure and Population Data for a Geographic Information System–Based Approach to Workforce Planning: Cross-Sectional Feasibility Study

JMIR Form Res 2025;9:e85025

DOI: 10.2196/85025

PMID: 41432298

PMCID: 12775756

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Mapping Provider Availability Using Public Licensure and Population Data: A Feasibility Study of a GIS-Based Approach to Workforce Planning

  • Madeline Ratoza; 
  • Rupal M Patel; 
  • Julia Chevan; 
  • Wayne Brewer; 
  • Katy Mitchell

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

Please cite as:

Ratoza M, Patel RM, Chevan J, Brewer W, Mitchell K

Mapping the Availability of Rehabilitation Providers Using Public Licensure and Population Data for a Geographic Information System–Based Approach to Workforce Planning: Cross-Sectional Feasibility Study

JMIR Form Res 2025;9:e85025

DOI: 10.2196/85025

PMID: 41432298

PMCID: 12775756

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