Saliba D, Elliott M, Rubenstein L Z, Solomon D H, Young R T, Kamberg C J, Roth C, MacLean C H, Shekelle P G, Sloss E M, Wenger N S
RAND, Santa Monica, California 90401, USA.
J Am Geriatr Soc. 2001 Dec;49(12):1691-9. doi: 10.1046/j.1532-5415.2001.49281.x.
To develop a simple method for identifying community-dwelling vulnerable older people, defined as persons age 65 and older at increased risk of death or functional decline. To assess whether self-reported diagnoses and conditions add predictive ability to a function-based survey.
Analysis of longitudinal survey data.
A nationally representative community-based survey.
Six thousand two hundred five Medicare beneficiaries age 65 and older.
Bivariate and multivariate analyses of the Medicare Current Beneficiary Survey; development and comparison of scoring systems that use age, function, and self-reported diagnoses to predict future death and functional decline.
A multivariate model using function, self-rated health, and age to predict death or functional decline was only slightly improved when self-reported diagnoses and conditions were included as predictors and was significantly better than a model using age plus self-reported diagnoses alone. These analyses provide the basis for a 13-item function-based scoring system that considers age, self-rated health, limitation in physical function, and functional disabilities. A score of >or=3 targeted 32% of this nationally representative sample as vulnerable. This targeted group had 4.2 times the risk of death or functional decline over a 2-year period compared with those with scores <3. The receiver operating characteristics curve had an area of.78. An alternative scoring system that included self-reported diagnoses did not substantially improve predictive ability when compared with a function-based scoring system.
A function-based targeting system effectively and efficiently identifies older people at risk of functional decline and death. Self-reported diagnoses and conditions, when added to the system, do not enhance predictive ability. The function-based targeting system relies on self-report and is easily transported across care settings.
制定一种简单方法,用于识别社区居住的易损老年人,即年龄在65岁及以上、死亡风险或功能衰退风险增加的人群。评估自我报告的诊断和状况是否能增强基于功能的调查的预测能力。
纵向调查数据分析。
一项具有全国代表性的社区调查。
6205名年龄在65岁及以上的医疗保险受益人。
对医疗保险当前受益人调查进行双变量和多变量分析;开发并比较使用年龄、功能和自我报告诊断来预测未来死亡和功能衰退的评分系统。
当将自我报告的诊断和状况作为预测因素纳入时,使用功能、自我评估健康状况和年龄来预测死亡或功能衰退的多变量模型仅略有改善,且显著优于仅使用年龄加自我报告诊断的模型。这些分析为一个基于13项功能的评分系统提供了基础,该系统考虑了年龄、自我评估健康状况、身体功能受限和功能残疾。得分≥3将这个具有全国代表性的样本中的32%定为易损人群。与得分<3的人群相比,这个目标群体在两年内死亡或功能衰退的风险是其4.2倍。受试者工作特征曲线的面积为0.78。与基于功能的评分系统相比,包含自我报告诊断的另一种评分系统在预测能力上没有实质性提高。
基于功能的目标定位系统能有效且高效地识别有功能衰退和死亡风险的老年人。将自我报告的诊断和状况添加到该系统中并不会增强预测能力。基于功能的目标定位系统依赖自我报告,且易于在不同护理环境中应用。