Barker Anna L, Nitz Jennifer C, Low Choy Nancy L, Haines Terry P
Division of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
Arch Phys Med Rehabil. 2008 Nov;89(11):2140-5. doi: 10.1016/j.apmr.2008.04.017.
To investigate the interrater agreement and the internal construct validity of the Physical Mobility Scale, a tool routinely used to assess mobility of people living in residential aged care.
Prospective, multicenter, external validation study.
Nine residential aged care facilities in Australia.
Residents (N=186). Phase 1 cohort (99 residents; mean age, 85.22+/-5.1y); phase 2 cohort (87 residents; mean age, 81.59+/-10.69y).
Not applicable.
Kappa statistics, minimal detectable change (MDC(90)) scores, and Bland-Altman plots were used to assess interrater agreement. Scale unidimensionality, item hierarchy, and person separation were examined with Rasch analysis for both cohorts.
Agreement between raters on 6 of the 9 Physical Mobility Scale items was high (kappa>.60). The MDC(90) value was 4.39 points, and no systematic differences in scores between raters were found. The Physical Mobility Scale showed a unidimensional structure demonstrated by fit to the Rasch model in both cohorts (phase 1: chi(2)=23.90, P=.16, person separation index=0.96; phase 2: chi(2)=22.00, P=.23, person separation index=0.96). Standing balance was the most difficult item in both cohorts (phase 1: logit=2.48, SE, 0.16; phase 2: logit=2.53, SE, 0.15). The person-item threshold map indicated no floor or ceiling effects in either cohort.
The Physical Mobility Scale demonstrated good interrater agreement and internal construct validity with good fit to the Rasch model in both cohorts. The comparative results across the 2 cohorts indicate generality of the findings. The Physical Mobility Scale total raw scores can be converted to Rasch transformed scores, providing an interval measure of mobility. The Physical Mobility Scale may be suited to a range of clinical and research applications in residential aged care.
探讨身体活动能力量表的评分者间一致性及内部结构效度,该量表是用于评估居住在老年护理机构中的老年人活动能力的常用工具。
前瞻性、多中心、外部验证研究。
澳大利亚的9家老年护理机构。
居民(N = 186)。第1阶段队列(99名居民;平均年龄85.22±5.1岁);第2阶段队列(87名居民;平均年龄81.59±10.69岁)。
不适用。
使用Kappa统计量、最小可检测变化(MDC(90))分数和Bland-Altman图评估评分者间一致性。对两个队列均采用Rasch分析来检验量表的单维度性、项目层次结构和人员区分度。
9项身体活动能力量表项目中的6项,评分者之间的一致性较高(kappa>.60)。MDC(90)值为4.39分,未发现评分者之间的分数存在系统性差异。身体活动能力量表在两个队列中均呈现出单维度结构,通过拟合Rasch模型得到证实(第1阶段:χ² = 23.90,P = 0.16,人员区分指数 = 0.96;第2阶段:χ² = 22.00,P = 0.23,人员区分指数 = 0.96)。在两个队列中,站立平衡都是最难的项目(第1阶段:logit = 2.48,标准误0.16;第2阶段:logit = 2.53,标准误0.15)。人员-项目阈值图表明两个队列均无地板效应或天花板效应。
身体活动能力量表在两个队列中均显示出良好的评分者间一致性和内部结构效度,与Rasch模型拟合良好。两个队列的比较结果表明研究结果具有普遍性。身体活动能力量表的原始总分可转换为Rasch转换分数,提供活动能力的区间测量。身体活动能力量表可能适用于老年护理机构中的一系列临床和研究应用。