Health workforce equity in urban community health service of China

• Published in: PloS one Vol. 9; no. 12; p. e115988
• Main Authors: Chen, Rui, Zhao, Yali, Du, Juan, Wu, Tao, Huang, Yafang, Guo, Aimin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 31.12.2014; Public Library of Science (PLoS)
• Subjects: Analysis; China; Communities; Community health care; Community Health Centers - manpower; Community Health Services - manpower; Continuing education; Councils; Cross-Sectional Studies; Data Interpretation, Statistical; Developing countries; Education; Family physicians; GDP; Geographical distribution; Geography; Gross Domestic Product; Health care policy; Health Manpower - statistics & numerical data; Health Personnel; Health services; Health Services Needs and Demand; Healthcare Disparities; Human resources; Humans; Indicators; Labor force; LDCs; Medical personnel; Medicine and Health Sciences; Nurses; Physicians; Population number; Primary care; Provinces; Public health; Rural areas; Service centers; Studies; Surveys and Questionnaires; Urban areas; Urban Health Services - manpower; Workers; Workforce; China
• DOI: 10.1371/journal.pone.0115988
• ISSN: 1932-6203

To reveal the equity of health workforce distribution in urban community health service (CHS), and to provide evidence for further development of community health service in China. A community-based, cross-sectional study was conducted in China from September to December 2011. In the study, 190 CHS centers were selected from 10 provinces of China via stratified multistage cluster sampling. Human resources profiles and basic characteristics of each CHS centers were collected. Lorenz curves and Gini Coefficient were used to measure the inequality in the distribution of health workforce in community health service centers by population size and geographical area. Wilcoxon rank test for paired samples was used to analyze the differences in equity between different health indicators. On average, there were 7.37 health workers, including 3.25 doctors and 2.32 nurses per 10,000 population ratio. Significant differences were found in all indicators across the samples, while Beijing, Shandong and Zhejiang ranked the highest among these provinces. The Gini coefficients for health workers, doctors and nurses per 10,000 population ratio were 0.39, 0.44, and 0.48, respectively. The equity of doctors per 10,000 population ratio (G = 0.39) was better than that of doctors per square kilometer (G = 0.44) (P = 0.005). Among the total 6,573 health workers, 1,755(26.7%) had undergraduate degree or above, 2,722(41.4%)had junior college degree and 215(3.3%) had high school education. Significant inequity was found in the distribution of workers with undergraduate degree or above (G = 0.52), which was worse than that of health works per 10000 population (P<0.001). Health workforce inequity was found in this study, especially in quality and geographic distribution. These findings suggest a need for more innovative policies to improve health equity in Chinese urban CHS centers.