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Author:

Zhu, Bin (Zhu, Bin.) | Fu, Yang (Fu, Yang.) | Liu, Jinlin (Liu, Jinlin.) | He, Rongxin (He, Rongxin.) | Zhang, Ning (Zhang, Ning.) | Mao, Ying (Mao, Ying.)

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SCIE PubMed

Abstract:

BackgroundHealth 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.MethodsThe 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 geographical tools.ResultsResults reveal that regional disparities and spatial clusters exist in China's health workforce distribution, with different types of workforce exhibiting relatively different spatial distribution characteristics. Besides, huge urban-rural disparities are found in the distribution of health workforce in China. Unexpectedly but intriguingly, most of the high-high and high-low cluster area of urban health workforce are concentrated in the western China (Xinjiang, Xizang etc.), indicating the relative abundant stock of urban health workforce in these units, while the low-low and low-high cluster area of different types of urban health workforce are mainly distributed in middle China. Regarding the rural health workforce, there is an obvious and similar low-low and low-high clustering pattern in western provinces (Sichuan, Yunnan) for the licensed doctors, pharmacists, technologists, which play a critical role in health services delivery.ConclusionsDifferent types of health workforce displayed distinct spatial distribution patterns, while the misdistribution of rural health workforce imposed more challenges to the Chinese health sector due to its poorer stock and more disadvantaged positions of backward regions (i.e., low-low and low-high cluster area). Subtype-specific and region-oriented health workforce planning and allocation policies are suggested to be made, aiming at the urban and rural health workforce respectively, by prioritizing the identified low-low and low-high cluster areas.

Keyword:

China Health workforce Local indicators of spatial association Local Moran's I Spatial autocorrelation

Author Community:

  • [ 1 ] [Zhu, Bin; Liu, Jinlin; He, Rongxin; Zhang, Ning; Mao, Ying] Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian 710049, Shaanxi, Peoples R China
  • [ 2 ] [Zhu, Bin] City Univ Hong Kong, Dept Publ Policy, Hong Kong 999077, Peoples R China
  • [ 3 ] [Fu, Yang] Shenzhen Univ, Coll Management, Nanhai Ave 3688, Shenzhen, Guangdong, Peoples R China

Reprint Author's Address:

  • Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian 710049, Shaanxi, Peoples R China.

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Source :

BMC HEALTH SERVICES RESEARCH

ISSN: 1472-6963

Year: 2018

Volume: 18

1 . 9 3 2

JCR@2018

2 . 6 5 5

JCR@2020

ESI Discipline: CLINICAL MEDICINE;

ESI HC Threshold:114

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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