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Neighborhood characteristics as determinants of healthcare utilization – a theoretical model

Mohnen, Sigrid M. ; Schneider, Sven ; Droomers, Mariël

In: Health Economics Review, 9 (2019), Nr. 7. pp. 1-9. ISSN 2191-1991

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Abstract

Background: We propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model.

Results: Since the neighborhood has no explicit ‘place’ in healthcare demand models, we have developed the “Neighborhood and healthcare utilization model” to show how neighborhoods matter in healthcare utilization. Neighborhood may affect healthcare utilization via (1) the supply-side, (2) need, and (3) demand for healthcare – irrespective of need. Three pathways are examined in detail to explain how neighborhood characteristics influence healthcare utilization via need: the physiological, psychological and behavioral pathways. We underpin this theoretical model with literature on all relevant neighborhood characteristics relating to health and healthcare utilization.

Conclusion: Potential neighborhood characteristics for the risk equalization model include the degree of urbanization, public and open space, resources and facilities, green and blue space, environmental noise, air pollution, social capital, crime and violence, socioeconomic status, stability, and ethnic composition. Air pollution has already been successfully tested as an important predictive variable in a healthcare risk equalization model, and it might be opportune to add more neighborhood characteristics.

Document type: Article
Journal or Publication Title: Health Economics Review
Volume: 9
Number: 7
Publisher: Springer
Place of Publication: Heidelberg
Date Deposited: 13 May 2019 12:41
Date: 2019
ISSN: 2191-1991
Page Range: pp. 1-9
Faculties / Institutes: Medizinische Fakultät Mannheim > Zentrum für Präventivmedizin und Digitale Gesundheit Baden-Württemberg
DDC-classification: 360 "Social services; association"
610 Medical sciences Medicine
Uncontrolled Keywords: Risk assessment, Prediction, Andersen model, Regional, Sociology
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