Institute for Health and Rehabilitation Sciences, Ludwig-Maximilians-Universität München, DE-813 77 Munich, Germany.
J Rehabil Med. 2011 Jan;43(2):123-30. doi: 10.2340/16501977-0646.
To identify candidate categories for brief International Classification of Functioning, Disability and Health (ICF) Core Sets for the reporting and measurement of functioning in patients in the acute hospital.
Prospective multi-centre cohort study.
Patients receiving rehabilitation interventions for musculoskeletal, neurological or cardiopulmonary injury or disease in acute hospitals.
Functioning and contextual factors were coded using the ICF. The criterion for selecting candidate categories for the brief ICF Core Sets was based on their ability to discriminate between patients with high or low functioning status. Discrimination was assessed using multivariable regression models, the independent variables being all of the ICF categories of the respective comprehensive ICF Core Set. Analogue ratings of overall functioning as reported by patients and health professionals were used as dependent variables.
A total of 391 patients were included in the study (91 neurological, 109 cardiopulmonary, 191 musculoskeletal), mean age 63.4 years, 50.1% female. Selection yielded 33 cate-gories for neurological, 31 for cardiopulmonary, and 30 for musculoskeletal.
The present selection of categories can be considered an initial proposal, serving to identify the ICF cate-gories most relevant for the practical assessment and monitoring of functioning in patients with acute neurological, cardiopulmonary, and musculoskeletal conditions.
确定用于报告和测量急性医院患者功能的简短国际功能、残疾和健康分类（ICF）核心集的候选类别。
前瞻性多中心队列研究。
在急性医院接受肌肉骨骼、神经或心肺损伤或疾病康复干预的患者。
使用 ICF 对功能和环境因素进行编码。选择简短 ICF 核心集候选类别的标准基于它们区分高功能和低功能状态患者的能力。使用多变量回归模型评估区分度，独立变量为各自综合 ICF 核心集的所有 ICF 类别。患者和卫生专业人员报告的整体功能模拟评分作为因变量。
共有 391 名患者纳入研究（91 名神经、109 名心肺、191 名肌肉骨骼），平均年龄 63.4 岁，女性占 50.1%。选择产生了 33 个神经类别、31 个心肺类别和 30 个肌肉骨骼类别。
目前的类别选择可以被认为是一个初步的建议，用于确定与急性神经、心肺和肌肉骨骼疾病患者的功能实际评估和监测最相关的 ICF 类别。
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