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首页> 外文期刊>Sao Paulo Medical Journal >Cluster analysis to identify elderly people's profiles: a healthcare strategy based on frailty characteristics
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Cluster analysis to identify elderly people's profiles: a healthcare strategy based on frailty characteristics

机译：聚类分析以识别老年人的特征：基于脆弱特征的医疗策略

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CONTEXT AND OBJECTIVES: The new social panorama resulting from aging of the Brazilian population is leading to significant transformations within healthcare. Through the cluster analysis strategy, it was sought to describe the specific care demands of the elderly population, using frailty components.DESIGN AND SETTING: Cross-sectional study based on reviewing medical records, conducted in the geriatric outpatient clinic, Hospital de Clínicas, Universidade Estadual de Campinas (Unicamp).METHODS: Ninety-eight elderly users of this clinic were evaluated using cluster analysis and instruments for assessing their overall geriatric status and frailty characteristics.RESULTS: The variables that most strongly influenced the formation of clusters were age, functional capacities, cognitive capacity, presence of comorbidities and number of medications used. Three main groups of elderly people could be identified: one with good cognitive and functional performance but with high prevalence of comorbidities (mean age 77.9 years, cognitive impairment in 28.6% and mean of 7.4 comorbidities); a second with more advanced age, greater cognitive impairment and greater dependence (mean age 88.5 years old, cognitive impairment in 84.6% and mean of 7.1 comorbidities); and a third younger group with poor cognitive performance and greater number of comorbidities but functionally independent (mean age 78.5 years old, cognitive impairment in 89.6% and mean of 7.4 comorbidities).CONCLUSION: These data characterize the profile of this population and can be used as the basis for developing efficient strategies aimed at diminishing functional dependence, poor self-rated health and impaired quality of life.
机译：背景与目标：巴西人口老龄化带来的新的社会全景正在导致医疗保健领域的重大变革。通过聚类分析策略，试图利用虚弱的因素来描述老年人群的特殊护理需求。设计与设置：基于回顾性病历的横断面研究，在大学医院门诊部的老年科门诊中进行。方法：通过聚类分析和仪器评估了该诊所的98位老年使用者的整体老年状况和虚弱特征。结果：影响聚类形成的最主要因素是年龄，功能性能力，认知能力，合并症的存在和所用药物的数量。可以确定三个主要的老年人群：一组具有良好的认知和功能表现，但合并症的患病率较高（平均年龄为77.9岁，认知障碍的发生率为28.6％，平均合并症为7.4）。第二个是年龄更大，认知障碍和依赖性更高的人（平均年龄88.5岁，认知障碍者为84.6％，平均合并症为7.1）;第三组是较年轻的组，其认知能力较差，合并症数量较多，但功能独立（平均年龄为78.5岁，认知障碍者为89.6％，平均合并症为7.4）。作为制定旨在减少功能依赖，差的自测健康和生活质量受损的有效策略的基础。

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