医学
二元分析
老年学
医学诊断
多元分析
多元统计
日常生活活动
人口学
物理疗法
统计
数学
内科学
病理
社会学
作者
Debra Saliba,Marc N. Elliott,Laurence Z. Rubenstein,David H. Solomon,Roy T. Young,Caren Kamberg,RN Carol Roth,Catherine H. MacLean,Paul G Shekelle,Elizabeth M. Sloss,Neil S. Wenger
标识
DOI:10.1046/j.1532-5415.2001.49281.x
摘要
OBJECTIVES: 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. DESIGN: Analysis of longitudinal survey data. SETTING: A nationally representative community-based survey. PARTICIPANTS: Six thousand two hundred five Medicare beneficiaries age 65 and older. MEASUREMENTS: 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. RESULTS: 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. CONCLUSIONS: 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.
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