About: Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China
Creator	Sun, Mei Hao, Mo Li, Chengyue Cai, Weiqin
source	Medline; PMC
abstract	BACKGROUND: The public health workforce (PHW) is a key component of a country’s public health system. Since the outbreak of SARS (severe acute respiratory syndrome) in 2003, the scale of PHW in China has been continuously expanding, but policymakers and researchers still focus on the distribution of public health personnel, especially the regional inequality in such distribution. We aimed to identify the root cause of PHW inequality by decomposing different geographical units in China. METHODS: This study was based on data from a nationwide survey, which included 2712 county-level data. The distribution of the PHW in geographical units was evaluated by the Gini coefficient and Theil T index, and inequalities at regional, provincial, and municipal levels were decomposed to identify the root causes of inequalities in the PHW. Additionally, the contextual factors affecting the distribution of the PHW were determined through regression analysis. RESULTS: The overall inequality results show that health professional and field epidemiological investigators faced worse inequality than the staff. In particular, field epidemiological investigators had a Gini coefficient close to 0.4. Step decomposition showed that within-region inequalities accounted for 98.5% or more of overall inter-county inequality in the distribution of all PHW categories; provincial decomposition showed that at least 74% of inequality is still distributed within provinces; the overall contribution of within-municipal inequality and between-municipal inequality was basically the same. Further, the contextual factor that influenced between-municipality and within-municipality inequality for all three categories of PHWs was the agency building area per employee. Per capita GDP had a similar effect, except for between-municipality inequality of professionals and within-municipality inequality of field epidemiological investigators. CONCLUSIONS: The successive decomposition showed that inequality is mainly concentrated in counties at the within-province and within-municipal levels. This study clearly suggests that the government, especially the municipal government at the provincial level, should increase financial investment in Centers for Disease Control and Prevention (CDCs) with worse resource allocation in their jurisdiction through various ways of compensation and incentives, enhance their infrastructure, and improve the salary of personnel in these institutions, to attract more public health professionals to these institutions.
has issue date	2019-11-21(xsd:dateTime)
bibo:doi	10.1186/s12939-019-1073-4
bibo:pmid	31752854
has license	cc-by
sha1sum (hex)	12c70c4d576fce0b20fce2b35e47b05baea97e35
schema:url	https://doi.org/10.1186/s12939-019-1073-4
resource representing a document's title	Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China
has PubMed Central identifier	PMC6873429
has PubMed identifier	31752854
schema:publication	Int J Equity Health
resource representing a document's body	covid:12c70c4d576fce0b20fce2b35e47b05baea97e35#body_text
is schema:about of	named entity 'inequality' named entity 'inequalities' named entity 'outbreak' named entity 'severe acute respiratory syndrome' named entity 'China' »more»

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