A conditional nonparametric analysis for measuring the efficiency of regional public healthcare delivery: An application to Greek prefectures. Health Policy 103(1): 73-82
A conditional nonparametric analysis for measuring the efficiency of regional public healthcare delivery: An application to Greek prefectures. Health Policy 103(1): 73-82 (SCOPUS, ISI Listed. Impact factor: 2.293 and 5-year: 2.581). In common with Ν. Τzeremes (2011).
Objectives: The purpose of this study is to develop a performance measurement model for regional public health delivery applying conditional nonparametric models.
Methods: The study reviews current relevant literature on performance measurement and develops a model for performance measurement. By using Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH) models evaluates the performance of public health delivery services of the Greek prefectures. The efficiency levels of the Greek prefectures are compared and analyzed in a regional context. By using convex and non-convex models alongside with bootstrap techniques and conditional full frontier applications the paper develops models for regional health delivery policy evaluation.
Results: The paper shows that higher levels of GDP per capita (GDPPC) have a negative influence on the efficiency of regional healthcare delivery, indicating that regional economic growth doesn’t ensure better healthcare delivery service. Furthermore the results reveal that population density increases the prefectures’ efficiency of public health provision, indicating the over-supply of health services by urban hospitals. Finally, several healthcare delivery inefficiencies have been reported among the Greek prefectures emphasizing a poor state of healthcare delivery.
Conclusions: The results indicate a lack of a unified healthcare policy indicating a misallocation of healthcare resources among the prefectures.