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衡量医疗保险家庭护理患者的残疾情况:拉施模型在结局与评估信息集中的应用

Measuring disability in Medicare home care patients: application of Rasch modeling to the outcome and assessment information set.

作者信息

Fortinsky Richard H, Garcia Ramon I, Joseph Sheehan T, Madigan Elizabeth A, Tullai-McGuinness Susan

机构信息

Center on Aging, University of Connecticut Health Center, Farmington 06030-5215, USA.

出版信息

Med Care. 2003 May;41(5):601-15. doi: 10.1097/01.MLR.0000062553.63745.7A.

Abstract

BACKGROUND

The Outcome and Assessment Information Set (OASIS) is the universal clinical assessment tool for adult nonmaternity patients receiving skilled care at home from Medicare-certified home health agencies in the United States. Anticipating increased use of OASIS data for research purposes, this article explored the usefulness of Rasch modeling to address disability measurement challenges presented by the unique response category structure of the seven activities of daily living (ADL) and eight instrumental ADL (IADL) items in the OASIS.

OBJECTIVES

To illustrate how Rasch model statistics can be used to evaluate OASIS ADL and IADL item unidimensionality and model fit; to illustrate how Rasch modeling simultaneously estimates ADL and IADL item difficulty, thresholds between item response categories, and person disability; and to compare Rasch estimates of item difficulty and person disability scores to estimates based on more conventional Likert scoring techniques.

SUBJECTS

Medicare-eligible home health care patients (n = 583) served by one of 12 home care agencies in Ohio between November 1999 and September 2000.

MEASURES

ADL and IADL items were measured three ways: according to the original OASIS scoring (raw Likert); transformed raw Likert scores accounting for the nonuniform item structure (corrected Likert); and Rasch Partial Credit model scores.

RESULTS

The items bathing and telephone use showed evidence of unexpected response patterns; recoding of these items was necessary for good Rasch model fit. Partial Credit model results revealed that interval distances between response categories varied widely across the 15 ADL and IADL items. When ADL and IADL items were ranked by level of difficulty, results were similar between Rasch and corrected Likert measurement approaches; however, corrected Likert person scores were found to be nonlinear at highest and lowest disability levels when plotted against Rasch person scores.

CONCLUSIONS

Rasch modeling can help improve the precision of disability measurement in Medicare home care patients when using ADL and IADL items from the OASIS instrument.

摘要

背景

结局与评估信息集(OASIS)是美国医疗保险认证的家庭健康机构为在家接受专业护理的成年非孕产妇患者提供的通用临床评估工具。鉴于预计会更多地将OASIS数据用于研究目的,本文探讨了Rasch模型在解决OASIS中七项日常生活活动(ADL)和八项工具性日常生活活动(IADL)项目独特的反应类别结构所带来的残疾测量挑战方面的实用性。

目的

说明如何使用Rasch模型统计量来评估OASIS的ADL和IADL项目的单维性及模型拟合度;说明Rasch模型如何同时估计ADL和IADL项目的难度、项目反应类别之间的阈值以及个体残疾程度;并将Rasch模型对项目难度和个体残疾得分的估计与基于更传统的李克特评分技术的估计进行比较。

对象

1999年11月至2000年9月期间,俄亥俄州12家家庭护理机构之一服务的符合医疗保险资格的家庭医疗患者(n = 583)。

测量方法

ADL和IADL项目通过三种方式进行测量:根据原始的OASIS评分(原始李克特评分);考虑项目结构不均匀性的转换后的原始李克特评分(校正后的李克特评分);以及Rasch部分计分模型评分。

结果

洗澡和使用电话这两个项目显示出意外的反应模式;为了使Rasch模型拟合良好,对这些项目进行重新编码是必要的。部分计分模型结果显示,15项ADL和IADL项目的反应类别之间的间隔距离差异很大。当按难度水平对ADL和IADL项目进行排序时,Rasch测量方法和校正后的李克特测量方法的结果相似;然而,在校正后的李克特个体得分与Rasch个体得分的对比图中,发现校正后的李克特个体得分在最高和最低残疾水平时是非线性的。

结论

在使用OASIS工具中的ADL和IADL项目时,Rasch模型有助于提高医疗保险家庭护理患者残疾测量的精度。

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