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The case for spatial analysis in evaluation to reduce health inequities
1Arizona State University, School of Geographical Sciences and Urban Planning, GeoDa Center for Geospatial Analysis and Computation, United States. julia.koschinsky@asu.edu
Evaluation and Program Planning
|April 4, 2012
Summary
This study introduces spatial thinking to program evaluation, showing how a spatial perspective can enhance realist evaluation and randomized control trials. Adopting this approach offers new insights for reducing health inequities.
Area of Science:
- Evaluation Science
- Public Health
- Spatial Analysis
Background:
- Traditional evaluation frameworks may overlook geographical and contextual factors.
- Health inequities often have spatial dimensions that are not fully addressed.
- Integrating spatial thinking can provide a more nuanced understanding of program impact.
Purpose of the Study:
- To introduce spatial thinking concepts into program evaluation theory and practice.
- To demonstrate the benefits of a spatialized perspective in evaluation.
- To explore how spatial evaluation can contribute to reducing health inequities.
Main Methods:
- Overview of spatial thinking concepts relevant to evaluation.
- Relating spatial perspective to realist evaluation and randomized control trials.
- Conceptual framework for spatialized program and evaluation.
Main Results:
- Spatial thinking offers a novel lens for understanding evaluation data.
- A spatialized perspective enhances the insights gained from realist evaluation.
- Spatialized evaluation can improve the effectiveness of randomized control trials.
Conclusions:
- Adopting a spatial perspective enriches evaluation theory and practice.
- Spatialized evaluation approaches can lead to more effective interventions for reducing health inequities.
- This approach moves evaluation closer to addressing the root causes of health disparities.
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