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Construction of an area-deprivation index for 2869 counties in China: a census-based approach.

Authors
  • Wang, Zhicheng1, 2, 3
  • Chan, Kit Yee4, 5
  • Poon, Adrienne N6, 7
  • Homma, Kirsten7, 8
  • Guo, Yan1
  • 1 Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China. , (China)
  • 2 Vanke School of Public Health, Tsinghua University, Beijing, China. , (China)
  • 3 Research Centre for Public Health, School of Medicine, Tsinghua University, Beijing, China. , (China)
  • 4 Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK [email protected] [email protected]
  • 5 Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia. , (Australia)
  • 6 Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • 7 Department of Medicine, School of Medicine & Health Sciences, George Washington University, Washington, DC, USA.
  • 8 Department of Medicine, New York Presbyterian - Columbia University, New York, NY, USA.
Type
Published Article
Journal
Journal of Epidemiology & Community Health
Publisher
BMJ
Publication Date
Feb 01, 2021
Volume
75
Issue
2
Pages
114–119
Identifiers
DOI: 10.1136/jech-2020-214198
PMID: 33037046
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

A paucity of data has made it challenging to construct a deprivation index at the lowest administrative, or county, level in China. An index is required to guide health equity monitoring and resource allocation to regions of greatest need. This study used China's 2010 census data to construct a county-level area-deprivation index (CADI). Data for 2869 counties from China's 2010 census were used to generate a CADI. Eleven indicators across four domains of deprivation were selected for principal component analysis with standardisation of the first principal component. Sensitivity analysis was used to test whether the population size and weighting method affected the index's robustness. Deprived counties identified by the CADI were then compared with China's official list of poverty-stricken counties. The first principal component explained 60.38% of the total variation in the deprivation indicators. The CADI ranged from the least deprived value of -2.71 to the most deprived value of 2.92, with SD of 1. The CADI was found to be robust against county-level population size and different weighting methods. When compared with the official list of poverty-stricken counties in China, the deprived counties identified by the CADI were found to be even more deprived. Constructing a robust area-deprivation index for China at the county level based on population census data is feasible. The CADI is a potential policy tool to identify China's most deprived areas. In the future, it may support health equity monitoring and comparison at the national and subnational levels. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

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