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CN 34-1304/RISSN 1674-3679

LI Wen-xian, ZHANG Xiang-feng, MIAO Mao-yun, ZHANG Chun-xi, ZHANG Ye-wu, SHI Xiao-ting, WANG Xiao-feng, ZHANG Ying-jie. Human Resources Allocation Equity in Centers for Disease Control and Prevention in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2016, 20(9): 945-947. doi: 10.16462/j.cnki.zhjbkz.2016.09.021
Citation: LI Wen-xian, ZHANG Xiang-feng, MIAO Mao-yun, ZHANG Chun-xi, ZHANG Ye-wu, SHI Xiao-ting, WANG Xiao-feng, ZHANG Ying-jie. Human Resources Allocation Equity in Centers for Disease Control and Prevention in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2016, 20(9): 945-947. doi: 10.16462/j.cnki.zhjbkz.2016.09.021

Human Resources Allocation Equity in Centers for Disease Control and Prevention in China

doi: 10.16462/j.cnki.zhjbkz.2016.09.021
  • Received Date: 2015-12-27
  • Rev Recd Date: 2016-04-26
  • Objective To analyze and evaluate the human resources allocation of Centers for Disease Control and Prevention in east, middle and west areas, so as to provide foundation for making scientific manpower plans. Methods The manpower data was drawn from Chinese Center for Disease Control and Prevention basic information system and the population data was from infectious disease network reporting system. The CDC's staff number was described, as well as structure of age, degree and title, in different levels (province, city and county) and different areas (east, middle and west), in China. And manpower allocation equity against population was analyzed by Gini coefficient. Results In East Areas, the staffs under age of 35 years comprised 31.54%. Those with degree accounted 39.13%. The proportion of employees with senior and vice-senior title were 12.83%,which were all higher than those in the Middle and West Areas. The demographic Gini index was 0.117 0, which was lower than those in the other two areas. Conclusions The human resources for health is distributed equally in Centers for Disease Control and Prevention, in China. However, not only the overall quality was higher, but also HRH configuration was more balanced in CDCs in east areas. More attention is needed to reduce HRH maldistribution in CDCs in middle and west areas.
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