社区老年人健康功能诊断评估系统在健康管理中的应用  

Application of Health Function Diagnostic Assessment in Health Management for the Elderly in Community

作　　者：詹继东[1] 柯华[2] 李晓南[1] 卢蓉[1] 叶坤妃[1] 

机构地区：[1]华中科技大学医院内科,湖北省武汉市430074 [2]华中科技大学图像识别与人工智能研究所

出　　处：《中国全科医学》2013年第16期1890-1892,共3页Chinese General Practice

基　　金：中央高校基本科研业务费专项资金资助(2011JC089)

摘　　要：目的开发一款基于Web的社区老年人多维健康功能自动诊断评估系统,探讨其在健康管理中的应用效果。方法对华中科技大学社区399名65岁及以上的老年人进行健康调查,采用ASP.NET+SQL Server 2008开发的软件进行量表信息在线收集,实现样本健康功能的自动诊断评估、量表信息的分析与统计及结果的可视化显示。结果躯体健康状况:优良112人(占28.1%),一般172人(占43.1%),差115人(占28.8%);日常活动能力(包括工具性和生理性日常活动能力):良好247人(占61.9%),轻度障碍84人(占21.1%),中重度障碍68人(占17.0%);精神健康状态:极佳331人(占83.0%),良好32人(占8.0%),轻度的精神损害28人(占7.0%),中度及以上精神损害8人(占2.0%);社会资源:极佳399人(100.0%),其他选项为良好的社会资源、轻度的社会障碍、中度或重度的社会障碍;经济状况:极佳20人(占5.0%),良好128人(占32.1%),较差219人(占54.9%),极差32人(占8.0%);营养状况:良好120人(占30.1%),存在营养不良的危险235人(占58.9%),营养不良44人(占11.0%)。软件的数据智能统计与分析功能达到设计要求。结论社区老年人健康功能诊断评估系统可用于老年人群的健康管理,是健康管理者的理想工具。Objective To develop a Web - based automatic diagnostic assessment system of multidimensional health functions for the elderly in community, and investigate the applying result in health management. Methods A health survey was conducted among 399 elderly people aged more than 65 in the community of Huazhong University of Science. The software of ASP NET ＋ SQL Server 2008 was used for online collection of information so as to realize the automatic diagnostic assessment of health functions of samples and visualization of analysis and statistics and results of the measuring scale information. Results The survey results of the elderly in communities showed that, in physical health status there were 112 people （28.1% ） who were excellent, 172 （43.1%） moderate, and 115 （28.8%） poor; in ability of daily activities there were 247 people （61.9%） who were good, 84 （21.1%） mild impairment, and 68 （17.0%） moderately or severely impaired; in mental health there were 331 （83.0%） people who were excellent, 32 （8. 0% ） good, 28 （7. 0% ） mild spirit impairment, and 8 （2.0%） moderate or a- bove mental impairment; in social resources condition there were 399 （ 100. 0% ） people who were excellent, and no one who was good or in any grades of barriers; in economy state there were 20 （5.0%） people who were excellent, 128 （32. 1% ） good, 219 （54. 9% ） poor, and 32 （8.0%） extremely poor; and in nutritional status there were 120 （30. 1% ） people who were good, 235 （58.9%） with danger of potential malnutrition, and 44 （ 11.0% ） poor. Intelligent data statistical analysis function of the software meets the design requirements. Conclusion The automatic diagnostic assessment system of muhidimen- sional health functions for the elderly in community can be applied in health management of the elderly, and it is an ideal tool for the managers related to health issues.

关 键 词：健康管理 社区 老年人 健康危险评估 

分 类 号：R197[医药卫生—卫生事业管理]