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Needs of older persons living in long-term care institutions: on the usefulness of cluster approach

机译:生活在长期护理机构中的老年人的需求:关于集群方法的有用性

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Long-term care units’ residents do not constitute a homogeneous population. Providing effective care, tailored to individual needs, is crucial in this context. It can be facilitated by suitable tools and methods, which include needs assessment along with the physical, psychological and social aspects of care. We thus applied a cluster approach to identify their putative groupings to enable the provision of tailored care. The needs of 242 residents of care homes in four Polish cities (Poznan, Wroclaw, Bialystok and Lublin), aged 75–102?years (184 females), with the Mini-Mental State Examination (MMSE) score?≥?15 points, were assessed with the CANE (Camberwell Assessment of Need for the Elderly) questionnaire. Their independence in activities of daily living was evaluated by the Barthel Index (BI), and symptoms of depression by the Geriatric Depression Scale (GDS). The results of MMSE, BI and GDS were selected as variables for K-means cluster analysis. Cluster 1 (C1), n?=?83, included subjects without dementia according to MMSE (23.7?±?4.4), with no dependency (BI?=?85.8?±?14.4) and no symptoms of depression (GDS?=?3.3?±?2.0). All subjects of cluster 2 (C2), n?=?87, had symptoms of depression (GDS?=?8.9?±?2.1), and their MMSE (21.0?±?4.0) and BI (79.8?±?15.1) were lower than those in C1 (p?=?0.006 and p?=?0.046, respectively). Subjects of cluster 3 (C3), n?=?72, had the lowest MMSE (18.3?±?3.1) and BI (30.6?±?18,8, p??0.001 vs. C1 & C2). Their GDS (7.6?±?2.3) were higher than C1 (p??0.001) but lower than C2 (p??0.001). The number of met needs was higher in C2 than in C1 (10.0?±?3.2 vs 8.2?±?2.7, p??0.001), and in C3 (12.1?±?3.1) than in both C1 and C2 (p??0.001). The number of unmet needs was higher in C3 than in C1 (1.2?±?1.5 vs 0.7?±?1.0, p?=?0.015). There were also differences in the patterns of needs between the clusters. Clustering seems to be a promising approach for use in long-term care, allowing for more appropriate and optimized care delivery. External validation studies are necessary for generalized recommendations regarding care optimization in various regional perspectives.
机译:长期护理单位的居民不构成均匀的人口。提供有效的护理,针对个人需求量量身定制,在这种情况下至关重要。它可以通过合适的工具和方法促进,包括需求评估以及护理的身体,心理和社会方面。因此,我们应用了集群方法来识别其推定分组,以便提供量身定制的护理。 4个波兰城市(波兹南,弗罗茨瓦夫,双泽和鲁布林)的242名护理住宅的需求,年龄在75-102岁?年(184名女性),迷你精神状态检查(MMSE)得分?≥?15分,用甘蔗(对老年人需求的Camberwell评估)评估。他们在日常生活活动中的独立性由巴特指数(BI)和Geriatric抑郁症(GDS)的抑郁症的症状评估。选择MMSE,BI和GDS的结果作为K-Means集群分析的变量。簇1(C1),n?=?83,根据MMSE(23.7?±4.4),包括没有痴呆的受试者(23.7?±4.4),没有依赖性(BI?=?85.8?±14.4),没有抑郁症状(GDS?= ?3.3?±?2.0)。所有簇2(C2),n?=?87,有抑郁症状(GDS?=?8.9?±2.1),以及它们的MMSE(21.0?±4.0)和BI(79.8?±15.1)低于C1中的那些(p?= 0.006和p?= 0.046)。簇3(C3)的主题,N?=Δ72,具有最低MMSE(18.3?±3.1)和Bi(30.6?±18,8,p≤≤0.001vs.C1&C2)。它们的GDS(7.6?±2.3)高于C1(p≤≤0.001),但低于C 2(p≤≤0.001)。 C2中满足需求的数量高于C1(10.0?±3.2 Vs 8.2?±2.7,P≤≤0.001),并且在C1和C2中(12.1→±3.1)( p?<0.001)。 C3的未满足需求的数量高于C1(1.2?±1.5 Vs 0.7?±1.0,P?= 0.015)。群集之间的需求模式也存在差异。聚类似乎是长期护理中使用的有希望的方法,允许更合适和优化的护理递送。关于各种区域视角的护理优化的广义建议是必要的外部验证研究。

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