Developing a development index system of Shanghai district-level disease prevention and control institutions using the Delphi method
10.19428/j.cnki.sjpm.2023.22639
- VernacularTitle:基于德尔菲法构建上海市区级疾病预防控制机构建设发展指标体系
- Author:
Xinyu LI
1
;
Haiyan SHAO
1
;
Ping ZU
1
;
Ye LU
1
;
Lei WANG
1
;
Yexin JIN
1
;
Fangmin LIU
1
;
Feilong HE
1
;
Chunfeng WU
1
;
Yong CHEN
1
Author Information
1. Shanghai Municipal Center for Disease Control and Prevention， Shanghai 200336， China
- Publication Type:Journal Article
- Keywords:
disease prevention and control institution;
index system;
Delphi method;
district level;
Shanghai
- From:
Shanghai Journal of Preventive Medicine
2023;35(7):695-703
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo construct an evaluation index system for the development of district-level disease prevention and control centers according to the requirements of the modernization of Shanghai’s disease control system and public health work practices， and to comprehensively assess the construction and development of district-level disease prevention and control institutions. MethodsAccording to the national and municipal requirements for the development of disease prevention and control institutions， an index framework was proposed through literature search and expert interviews. 39 representative experts in the field of public health at the national， provincial， and municipal （district） levels were selected to participate in the consultation and construction of the index system. The authority coefficient， the coefficient of variation， etc. were used to carry out quality control and determination of each index on the Delphi method. ResultsThe questionnaire response rate was 100%， the expert authority coefficient was 0.86，the degree of familiarity was 0.79， and the judgment basis was 0.92. The coefficients of variation of the necessary indicators in the index system were all <0.25 in the dimension of importance， and there were statistical differences in the statistical test of Kendall’s W coordination coefficients at all levels and dimensions （all P<0.001）. After multiple rounds of consultation， experts reached a consensus， forming a development evaluation index system of district-level CDCs with 6 first-level indicators， 24 second-level indicators， and 105 third-level indicators （including 63 necessary indicators and 42 recommended indicators）. ConclusionThe evaluation index system of Shanghai district-level CDCs based on the Delphi method has good authority， reliability， sensitivity and operability. This indicator system can effectively support the development of Shanghai district-level CDCs， and can be used for evaluation at multiple levels and in an all-round way in the future. The evaluation results can provide an evidence-based basis for the modernization of the disease prevention and control system and the continuous and dynamic updating of the development goals in the future.
