Risk Management and Healthcare Policy (Jun 2024)
Developing a Multi-Dimensional Health Index System for a General Occupational Population in the Light of Health Ecology Theory: A Delphi Study
Abstract
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 ChinaCorrespondence: Ming Li; Geyao Zhou, Email [email protected]; [email protected]: 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
