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The development of a new tool for the evaluation of handicap in elderly: the Geriatric Handicap Scale (GHS)

机译:在老年人评估障碍评估新工具的开发:老年人的障碍秤(GHS)

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BackgroundTo date, the comprehensive geriatric assessment (CGA) does not include an evaluation tool for handicap.AimTo develop a new instrument for assessing handicap in the elderly: the Geriatric Handicap Scale (GHS).Methods656 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).ResultsIn 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.ConclusionsOur tool could prove useful to correctly categorize the disadvantageous condition related to patient's disability.
机译:背景日期,综合的老年人评估(CGA)不包括扶手的评估工具。制定用于在老年人的障碍评估障碍的新仪器:老年人的障碍秤(GHS).Methods656社区住宅的老年人参加了这项研究。我们确定了CGA调查的主题区域,该专题区域显示与障碍条件(障碍是/不)的显着相关(阶段1)。之后,我们评估了所可能的相关性:(1)GGS的每个区域中获得的分数和在CGA测试中获得的那些,研究类似尺寸,(2)GHS总得分和多维预后指数(MPI)总分(第2阶段) .Resultsin阶段1,数据分析显示了障碍条件与CGA测试获得的分数之间的几个显着相关性,探索认知,情绪,功能障碍,合并症,社会和环境变量。因此,我们开发了一个考虑五个变量的工具:(1)认知和情绪; (2)功能损害; (3)听证/视觉损伤; (4)任何额外的合并症因素; (5)环境/社会风险因素。在阶段2中,数据分析显示在GHS的每个区域中获得的分数与研究类似尺寸的CGA测试中获得的分数之间的显着相关性。还报道了GHS总分比的正相关性和MPI总分(R = 68; P = 0.001)。建立了GHS的截止分数。还调查了GHS的心理测量性质,并证明了内部可靠性的足够估计.Conclusoursour工具可以证明可以正确分类与患者残疾相关的不利条件。

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