GUAN Xujing # , TANG Xuefeng # , JING Bihui , FU Qingpei , SANG Zhenxiu , MAO Hui , WU Xianping
  • Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, P.R.China;
WU Xianping, Email: wwwuxp@163.com
Primary health care institution; TOPSIS comprehensive evaluation method; Feeling; Cross-sectional survey
10.7507/1672-2531.201908057
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Objectives To investigate residents’ sensitivity towards basic public health services in Sichuan province, so as to provide advice on future improvement.Methods Using multistage stratified sampling and through consultation of the Sichuan province's basic public health service regulatory platform to select 40 equidistant samples from the five key population groups. Specifically, 200 individuals from each of the 21 cities were enrolled. Telephone survey was conducted to acquire residents’ awareness rate, satisfaction and compliance. Technique for order preference by similarity to an ideal solution (TOPSIS) was applied to comprehensively evaluate residents’ sensitivity of basic public health services.Results A total of 4 200 community residents who have accepted health managements in basic health care institutions were enrolled. The mean Cj value was 0.523 6. The No.4 city had the highest Cj value of 0.751 9, and the No.10 city had the lowest value of 0.276 3.Conclusions The residents’ sensitivity to basic public health services varies in 21 cities of Sichuan province. We should improve the quality of medical services in primary health care institutions and provide wide publicity to enhance the well-being and satisfaction of community residents. Government should improve the quality of medical services in primary health care institutions, and narrow the gap between different cities, so as to improve residents’ experience.

Citation： GUAN Xujing, TANG Xuefeng, JING Bihui, FU Qingpei, SANG Zhenxiu, MAO Hui, WU Xianping. TOPSIS-based investigation of residents’ sensitivity to basic public health services in Sichuan province: a cross-sectional survey. Chinese Journal of Evidence-Based Medicine, 2020, 20(5): 525-530. doi: 10.7507/1672-2531.201908057 Copy

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