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Accepted for/Published in: JMIR Formative Research

Date Submitted: Aug 15, 2023
Date Accepted: Jan 11, 2024

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

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study

Hashtarkhani S, Schwartz DL, Shaban-Nejad A

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study

JMIR Form Res 2024;8:e51727

DOI: 10.2196/51727

PMID: 38381503

PMCID: 10918552

Enhancing Healthcare Accessibility and Equity: A Geoprocessing Toolbox for Spatial Accessibility Analysis

  • Soheil Hashtarkhani; 
  • David L. Schwartz; 
  • Arash Shaban-Nejad

ABSTRACT

Background:

Access to healthcare services plays a vital role in ensuring population health and well-being. Measuring spatial accessibility to health services is essential for understanding healthcare distribution and addressing potential inequities.

Objective:

In this study, we developed a geoprocessing toolbox including Python script tools for ArcGIS Pro environment to measure the spatial accessibility of health services using both classic and enhanced versions of the Two-Step Floating Catchment Area (2SFCA) method.

Methods:

Each tool incorporated both distance buffers and travel time catchments to calculate accessibility scores based on users' choices. We conducted a case study focusing on the accessibility of hemodialysis services in the state of Tennessee using the four versions of the accessibility tools. Age as an important non-spatial factor influencing the accessibility of hemodialysis services was accounted for in the calculation of the target population.

Results:

The implemented tools are made accessible through ArcGIS Online for free use by the research community. The case study revealed disparities in the accessibility of hemodialysis services, with urban areas demonstrating higher scores compared to rural and suburban regions.

Conclusions:

These tools can serve as valuable decision-support resources to help healthcare providers, organizations, and policymakers improve equitable access to healthcare services.


 Citation

Please cite as:

Hashtarkhani S, Schwartz DL, Shaban-Nejad A

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study

JMIR Form Res 2024;8:e51727

DOI: 10.2196/51727

PMID: 38381503

PMCID: 10918552

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