论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
基于健康生态理论构建一般职业人群多维健康指标体系:德尔菲研究
Authors Zhou X , Wu J, Liu Y, Yan Y, Zhou G, Li M
Received 11 January 2024
Accepted for publication 29 May 2024
Published 8 June 2024 Volume 2024:17 Pages 1523—1532
DOI https://doi.org/10.2147/RMHP.S459216
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Kyriakos Souliotis
Xiaoling Zhou,1,2 Jing Wu,3 Ying Liu,3 Yuzhong Yan,2 Geyao Zhou,1 Ming Li1,4
1School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, People’s Republic of China; 2Research Department, Shanghai University of Medicine&Health Sciences Affiliated Zhoupu Hospital, Shanghai, People’s Republic of China; 3School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 4Party Committee office, Tongji University Affiliated Shanghai East Hospital, Shanghai, People’s Republic of China
Correspondence: Ming Li; Geyao Zhou, Email liming1070202306@163.com; zhougeyao@163.com
Background: The health status of the occupational population is critical to the development of countries and regions as it is the main force of social and economic development. However, there is a dearth of comprehensive and systematic indicators to evaluate the health of occupational groups. This study aimed to construct a multi-dimensional evaluation index system for the general population.
Methods: This study combined a literature review and initially established a multidimensional health system framework for the occupational population based on health ecology theory and then used two rounds of Delphi expert consultation to construct the final multidimensional health index system for the occupational population. Fifteen experts from related fields were selected for two rounds of Delphi expert consultation.
Results: The recovery rates of the two rounds of expert questionnaires were 100.00% and 93.33% respectively, the expert authority coefficient were 0.90, and the Kendall’s coordination coefficients of the first and second level indexes were 0.32 and 0.42 (P ≥ 0. 001). The final index system includes four primary indicators (individual characteristics, health knowledge, health behavior, and health skills), 13 second-level indicators, and 41 third-level indicators; the weight coefficients of the four primary health dimensions are relatively close, and the “health knowledge” is slightly higher.
Conclusion: The multi-dimensional health index system of the occupational population established in this study is comprehensive and reasonable from the perspective of health ecology, which can provide a solid foundation for the further development of a comprehensive health status prediction model for the occupational population.
Keywords: health ecology, delphi method, multidimensional health, index system