Selection preference and optimization strategy of health intervention in high-risk population of cardiovascular disease in rural area:Based on a Discrete Choice Experiment
10.3969/j.issn.1674-2982.2025.06.006
- VernacularTitle:农村心血管疾病高危人群健康干预措施选择偏好及优化策略
- Author:
Ju SUN
1
;
Wen-jing HAN
;
Hao-miao LI
;
Shu-zhen ZHU
Author Information
1. 武汉大学政治与公共管理学院 湖北 武汉 430072;武汉大学健康治理研究中心 湖北 武汉 430072
- Publication Type:Journal Article
- Keywords:
Cardiovascular disease;
High risk population;
Health interventions:Selection preference;
Optimization strategy
- From:
Chinese Journal of Health Policy
2025;18(6):41-50
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the selection preference and heterogeneity of intervention measures for high-risk population of Cardiovascular Disease in rural areas,and to provide new empirical evidence and path reference for evidence-based CVD intervention strategies.Methods:Using cluster sampling method,a discrete choice experiment was designed to conduct an offline survey on 345 CVD high-risk subjects in one of the CVD high-risk screening sites in Hubei Province.Mixed logit model was used for data analysis.Results:The attributes of"Primary medical staff+County-level medical staff+Experts above county-level","Monthly or longer","Non-drug intervention","Drug intervention+non-drug intervention","One hour",all significantly increased the probability of high-risk population to choose the project,and"Online"mode and"Personalized service package"will significantly reduce the probability of respondents to choose a solution,there were significant differences in the selection preferences of high-risk population with different gender,age,education level,income level and health status.Conclusion:The rural CVD high-risk population obviously prefer the intervention model with high level of service subject,off-line implementation,low frequency,medium intensity,non-drug intervention or combined with drug intervention,and free basic service content.It is necessary to explore a more efficient and suitable intervention scheme for CVD in rural high-risk population according to the demand-side preference and its heterogeneity.
