Community resilience evaluation index system based on Delphi method for emergent major infectious diseases
10.3969/j.issn.1006-2483.2025.02.002
- VernacularTitle:基于德尔菲法的突发重大传染病社区韧性评价指标体系
- Author:
Wen SUN
1
,
2
;
Zhen LI
1
,
2
;
Jialin CHEN
1
,
2
;
Hao XYU
1
,
2
;
Li WEI
1
,
2
;
Xiaoxiao WU
1
,
2
Author Information
1. Hospital for Skin Diseases , Shandong First Medical University , Jinan , Shandong 250022 , China
2. Shandong Provincial Institute of Dermatology and Venereology , Shandong Academy of Medical Sciences , Jinan , Shandong 250022 , China
- Publication Type:Journal Article
- Keywords:
Delphi method;
Emergent major infectious diseases;
Community resilience;
Evaluation index
- From:
Journal of Public Health and Preventive Medicine
2025;36(2):6-11
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a scientific, comprehensive, and operable community resilience evaluation index system for emergent major infectious diseases. Methods Based on the social ecosystem theory, a preliminary evaluation index system was formed by using content analysis and boundary analysis. The index system was then supplemented and revised through panel discussions. The final index system and index weights were clarified by two rounds of Delphi method. Results The expert positive coefficient, expert authority coefficient, and expert coordination coefficient of the two rounds of expert consultations were examined. According to the screening principle of the “threshold method”, the indicators were screened, and the weights of each indicator were determined in the second round of Delphi expert consultation. The analysis of the reliability of the indicator system showed Cronbach's α= 0.399 , indicating that the indicator system had a relatively high reliability. Factor analysis was carried out on 7 primary indicators, and the measure of sampling adequacy (MSA) values were all greater than 0.5, which passed the validity test. Conclusion A set of evaluation index system that can accurately reflect the resilience level of communities with emergent major infectious diseases has been constructed, including 7 primary indicators, 21 secondary indicators, 54 tertiary indicators, and 108 tertiary indicators, which has realized the quantitative evaluation of the hidden resilience level of communities.
