Inequality of Paediatric Workforce Distribution in China

Int J Environ Res Public Health. 2016 Jul 12;13(7):703. doi: 10.3390/ijerph13070703.

Abstract

Child health has been addressed as a priority at both global and national levels for many decades. In China, difficulty of accessing paediatricians has been of debate for a long time, however, there is limited evidence to assess the population- and geography-related inequality of paediatric workforce distribution. This study aimed to analyse the inequality of the distributions of the paediatric workforce (including paediatricians and paediatric nurses) in China by using Lorenz curve, Gini coefficient, and Theil L index, data were obtained from the national maternal and child health human resource sampling survey conducted in 2010. In this study, we found that the paediatric workforce was the most inequitable regarding the distribution of children <7 years, the geographic distribution of the paediatric workforce highlighted very severe inequality across the nation, except the Central region. For different professional types, we found that, except the Central region, the level of inequality of paediatric nurses was higher than that of the paediatricians regarding both the demographic and geographic distributions. The inner-regional inequalities were the main sources of the paediatric workforce distribution inequality. To conclude, this study revealed the inadequate distribution of the paediatric workforce in China for the first time, substantial inequality of paediatric workforce distribution still existed across the nation in 2010, more research is still needed to explore the in-depth sources of inequality, especially the urban-rural variance and the inner- and inter-provincial differences, and to guide national and local health policy-making and resource allocation.

Keywords: China; health human resource; inequality; paediatric workforce.

MeSH terms

  • China
  • Geography
  • Health Services Accessibility / statistics & numerical data*
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Male
  • Nurses, Pediatric / supply & distribution*
  • Pediatricians / supply & distribution*
  • Rural Population
  • Socioeconomic Factors