Author: Cai, Weiqin; Li, Chengyue; Sun, Mei; Hao, Mo
Title: Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China Document date: 2019_11_21
ID: 0yiek4bg_32
Snippet: We also analyzed the contextual factors that affect within-municipality and between-municipality inequalities of PHWs. The analysis was conducted only at the municipal level, as the number (333) of municipalities was sufficient for a stable statistical analysis. As shown in Table 5 , the results of F-test show that all linear regression equations have good significance. The linear regression model determined one factor that significantly correlat.....
Document: We also analyzed the contextual factors that affect within-municipality and between-municipality inequalities of PHWs. The analysis was conducted only at the municipal level, as the number (333) of municipalities was sufficient for a stable statistical analysis. As shown in Table 5 , the results of F-test show that all linear regression equations have good significance. The linear regression model determined one factor that significantly correlated with within-municipality and betweenmunicipality inequalities for all three categories of PHWs. The larger the agency building area per employee, the higher the proportion of PHWs. Per capita GDP had a similar effect, except for between-municipality inequality of professionals and within-municipality inequality of field epidemiological investigators. The agency government financial allocation per employee only influenced between-municipality inequality of staff. Numbers of kindergartens and primary schools per 10,000 population and numbers of training days per employee per year did not show a significant effect.
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