Division of Gerontology, Department of Cardiovascular, Respiratory, Nephrological, Anesthesiological and Geriatric Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Department of Dynamic and Clinical Psychology, Sapienza University of Rome, Via degli Apuli 1, 00185, Roma, Italy.
Aging Clin Exp Res. 2018 Oct;30(10):1187-1193. doi: 10.1007/s40520-018-0907-z. Epub 2018 Feb 10.
To date, the comprehensive geriatric assessment (CGA) does not include an evaluation tool for handicap.
To develop a new instrument for assessing handicap in the elderly: the Geriatric Handicap Scale (GHS).
656 community-dwelling elderly were enrolled in this study. We identified the thematic areas investigated by the CGA which showed a significant correlation with the handicap condition (handicap yes/not) to be included in our scale (Phase 1). Afterwards, we evaluated the possible correlations between: (1) the score obtained in each area of GHS and those obtained in CGA tests investigating similar dimensions, (2) GHS total score and the Multidimensional Prognostic Index (MPI) total score (Phase 2).
In Phase 1, data analysis showed several significant correlations between the handicap condition and the scores obtained to the CGA tests exploring cognition, mood, functional impairment, comorbidity, social and environmental variables. Thus, we developed a tool considering five variables: (1) cognition and mood; (2) functional impairment; (3) hearing/visual impairment; (4) any additional comorbidity factors; (5) environmental/social risk factors. In Phase 2, data analysis showed significant correlations between the score obtained in each area of GHS and those obtained in the CGA tests investigating similar dimensions. A positive correlation between GHS total score and MPI total score (r = 68; p = 0.001) was also reported. Cut-off score for the GHS was established. Psychometric properties of GHS were also investigated and adequate estimates of internal reliability were demonstrated.
Our tool could prove useful to correctly categorize the disadvantageous condition related to patient's disability.
迄今为止,综合老年评估(CGA)并未包括对障碍的评估工具。
开发一种新的老年人障碍评估工具:老年障碍量表(GHS)。
本研究纳入了 656 名居住在社区的老年人。我们确定了 CGA 调查的与障碍状况(有/无障碍)显著相关的主题领域,将其纳入我们的量表(第 1 阶段)。之后,我们评估了以下两者之间的可能相关性:(1)GHS 各领域的得分与 CGA 测试中调查类似维度的得分之间的相关性,(2)GHS 总分与多维预后指数(MPI)总分之间的相关性(第 2 阶段)。
在第 1 阶段,数据分析显示,障碍状况与 CGA 测试中探索认知、情绪、功能障碍、合并症、社会和环境变量的得分之间存在多项显著相关性。因此,我们开发了一种考虑以下五个变量的工具:(1)认知和情绪;(2)功能障碍;(3)听力/视力障碍;(4)任何其他合并症因素;(5)环境/社会风险因素。在第 2 阶段,数据分析显示,GHS 各领域的得分与 CGA 测试中调查类似维度的得分之间存在显著相关性。GHS 总分与 MPI 总分之间也存在正相关(r=68;p=0.001)。还确定了 GHS 的截断分数。还研究了 GHS 的心理计量学特性,并证明了其内部可靠性的适当估计。
我们的工具可以证明有助于正确分类与患者残疾相关的不利状况。