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A model for measuring healthcare accessibility using the behavior of demand: a conditional logit model-based floating
1College of Global Business, Korea University Sejong Campus, 2511 Sejong-ro, Sejong, Republic of Korea. hoonjang@korea.ac.kr.
BMC Health Services Research
|July 6, 2021
Summary
This study introduces a new metric to estimate healthcare accessibility by incorporating patient preferences, improving accuracy in potential demand assessment. The conditional logit floating catchment area (clmFCA) method offers a more realistic measure of health service access.
Area of Science:
- Healthcare accessibility research
- Health services research
- Spatial analysis in healthcare
Background:
- Accurate estimation of healthcare access is vital for policy development.
- Existing accessibility metrics often overlook patient preferences and bypassing behaviors.
- Realistic patient willingness to use services is a critical, yet often unconsidered, factor.
Purpose of the Study:
- To develop a novel potential accessibility metric incorporating patient preferences.
- To address limitations of previous accessibility measures by including realistic hospital choice behavior.
- To enhance the accuracy of healthcare accessibility estimations.
Main Methods:
- Integration of a discrete choice model with a floating catchment area (FCA) approach.
- Development of a new FCA-type metric, termed conditional logit FCA (clmFCA).
- Application of the clmFCA metric to assess obstetric care service accessibility in Korea.
Main Results:
- The clmFCA metric effectively captures patients' heterogeneous preferences and bypassing behaviors.
- This new metric provides a more nuanced understanding of hospital choice compared to traditional FCA methods.
- Empirical results demonstrate that clmFCA mitigates misestimation of health service accessibility.
Conclusions:
- The clmFCA provides a more realistic framework for estimating patient accessibility to healthcare services.
- Accurate estimation of potential service demand is improved through this novel approach.
- Validation through a nationwide case study confirms the effectiveness of the proposed clmFCA method.
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