Development and evaluation of a health management model for the elderly in rural areas
10.3760/cma.j.cn115624-20250606-00483
- VernacularTitle:农村地区老年人健康管理模式的构建及效果评价
- Author:
Jingyuan ZHAO
1
;
Nan SHANG
;
Pei WANG
;
Tian LI
Author Information
1. 山西医科大学第一临床医学院，太原 030001
- Publication Type:Journal Article
- Keywords:
Elderly;
Rural Population;
Health management;
Effect evaluation;
Five-level linkage
- From:
Chinese Journal of Health Management
2025;19(12):1007-1012
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop a health management model tailored for the elderly population in rural areas and to evaluate its effectiveness.Methods:This before-and-after controlled intervention study was conducted from January 2024 to June 2024 in rural areas of Jiaocheng County, Shanxi Province. A multi-stage stratified random sampling method was used to include 5 000 permanent residents aged ≥65 years. A baseline health survey was first conducted to collect multidimensional data, including demographic characteristics, chronic disease information, cognitive and psychological scales, sleep quality, and health service utilization. Using the comprehensive health index as the outcome variable, seven machine learning models, including LightGBM, were constructed to identify key factors influencing health status and explore intervention pathways. Subsequently, under the framework of a "five-level linkage+shared database, " comprehensive interventions such as health communication, integrated medical and elderly care, and dynamic follow-ups were implemented. Differences in major health indicators were compared before and after the 6-month intervention.Results:At baseline, the prevalence rates of hypertension, diabetes, and coronary heart disease were 58.2%, 24.8%, and 16.1%, respectively. The rate of cognitive impairment was 36.9%, and the positive rates for depression and anxiety were 27.3% and 17.4%, respectively. Machine learning analysis showed that the Naive Bayes model had the best predictive performance (area under the curve=0.966), with key influencing factors including number of follow-ups, number of health lectures, and medical check-up frequency. After six months of intervention, systolic blood pressure decreased from (142.95±15.84) to (138.37±17.20) mmHg (1 mmHg=0.133 kPa), fasting glucose from (6.43±1.26) to (6.09±1.40) mmol/L, and MMSE scores increased from (25.04±3.28) to (25.71±3.29) points. The positive rates of anxiety and depression declined from 17.4% to 12.8% and 27.3% to 20.6%, respectively. Follow-up compliance improved from 76.5% to 80.5%, and health record completeness from 69.8% to 75.8% (all P<0.001). Conclusions:The integrated health management model based on the"five-level linkage+shared database,"incorporating health education and the integration of medical and elderly care, effectively improves chronic disease control and enhances cognitive and psychological health among older adults in rural areas of Shanxi Province. This model also strengthens service adherence and management efficiency.
