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Trends in resource allocation for primary health care in rural China: Concentration curve and decomposition analysis.
Li, Huiwen; Yuan, Beibei; Song, Suhang; Meng, Qingyue; Kawachi, Ichiro.
Afiliação
  • Li H; China Population and Development Research Center, Beijing, China.
  • Yuan B; China Center for Health Development Studies, Peking University, Beijing, China.
  • Song S; China Center for Health Development Studies, Peking University, Beijing, China.
  • Meng Q; China Center for Health Development Studies, Peking University, Beijing, China.
  • Kawachi I; China Center for Health Development Studies, Peking University, Beijing, China.
Article em En | MEDLINE | ID: mdl-39054616
ABSTRACT
Since 2009, China has made large investments in strengthening the primary healthcare system. This study aimed to examine the trends in the number and distribution of health resources in rural China following the health system reform and to decompose the sources of inequalities. Data were collected from standardized reports compiled by each county in rural China and compiled by the National Health Commission and Bureau of Statistics. From the findings of this empirical study, resource allocation per capita for primary health care (PHC) improved gradually from 2008 to 2014. The distribution of beds across counties (ranked by level of economic development) was relatively equitable. However, the concentration curve analysis indicated that the distribution of primary care professionals remained skewed in favour of wealthier and more urbanised counties. Economic status was proved to be a major contributor to the inequality of health human resource. China's primary care reforms resulted in simultaneously improved supply of PHC resources as well as pro-rich inequality in distribution of the workforce. To advance equality in health resource allocation, greater attention should be paid to the substantial inequality of economic status within counties.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article