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Dataset Information

Detecting the priority areas for health workforce allocation with LISA functions: an empirical analysis for China.


ABSTRACT:

Background

Health workforce misdistribution leads to severe inequity and low-efficiency in health services in the developing countries. Targeting at China, this research aims to reveal, visualize and compare the geographical distribution patterns of different subtypes of urban and rural health workforce and identify the priority regions for health workforce planning and allocation policies designing.

Methods

The health workforce density (workforce-to-population ratio) is adopted to represent the accessibility to health workforce in each geographical unit. Besides a descriptive geography of health workforce as a whole, the local indicators of spatial association (LISA) are used to explore the spatial clusters of different subtypes of health workforce, which are visualized by

SUBMITTER: Zhu B 

PROVIDER: S-EPMC6292090 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature