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Dataset Information

Efficiency evaluation and promoter identification of primary health care system in China: an enhanced DEA-Tobit approach.


ABSTRACT:

Background

With Primary Health Care (PHC) being a cornerstone of accessible, affordable, and effective healthcare worldwide, its efficiency, especially in developing countries like China, is crucial for achieving Universal Health Coverage (UHC). This study evaluates the efficiency of PHC systems in a southwest China municipality post-healthcare reform, identifying factors influencing efficiency and proposing strategies for improvement.

Methods

Utilising a 10-year provincial panel dataset, this study employs an enhanced Data Envelopment Analysis (DEA) model integrating Slack-Based Measure (SBM) and Directional Distance Function (DDF) with the Global Malmquist-Luenberger (GML) index for efficiency evaluation. Tobit regression analysis identifies efficiency determinants within

SUBMITTER: Zeng Z 

PROVIDER: S-EPMC11223419 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature