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评估受伤工人的健康状况:对五款通用健康状况评估工具在肌肉骨骼损伤工人中的横断面比较

Measuring health in injured workers: a cross-sectional comparison of five generic health status instruments in workers with musculoskeletal injuries.

作者信息

Beaton D E, Bombardier C, Hogg-Johnson S A

机构信息

Institute for Work and Health, Toronto, Ontario, Canada.

出版信息

Am J Ind Med. 1996 Jun;29(6):618-31. doi: 10.1002/(SICI)1097-0274(199606)29:6<618::AID-AJIM6>3.0.CO;2-F.

Abstract

The purpose of this study was to compare the measurement properties of five generic health status measures in a cross-sectional study of injured workers. One hundred twenty-seven injured workers participated in the study. Forty-seven percent had disorders of the upper limb, 12% neck and upper back, and 27% lower back (14% unspecified). All participants completed a package containing: SF-36 (Acute), Nottingham Health Profile (NHP). Duke Health Profile (Duke). Health status section of the Ontario Health Survey (OHS), and the Sickness Impact Profile (SIP). Frequency distributions were examined, correlations carried out, and the ability to discriminate between part of body and overall health state evaluated using analysis of variance. The results showed a ceiling (healthy) effect in the OHS, NHP, and SIP. Correlations were moderate to good. Upper limb subjects appeared "healthier" than low back pain subjects. The instruments were able to discriminate between health states (p < 0.05) except the OHS-Physical function (p = 0.51). Different questionnaires give a different impression of health. Clinicians and researchers should be thoughtful in their selection of outcome measures as different instruments may alter the description, intervention, and priorization of a particular disorder.

摘要

本研究的目的是在一项针对受伤工人的横断面研究中比较五种通用健康状况测量工具的测量特性。127名受伤工人参与了该研究。47%的人患有上肢疾病,12%患有颈部和上背部疾病,27%患有下背部疾病(14%未明确说明)。所有参与者都完成了一套包含以下内容的问卷:SF-36(急性版)、诺丁汉健康量表(NHP)、杜克健康量表(Duke)、安大略省健康调查(OHS)的健康状况部分以及疾病影响量表(SIP)。研究人员检查了频率分布,进行了相关性分析,并使用方差分析评估了这些测量工具区分身体部位和整体健康状况的能力。结果显示,OHS、NHP和SIP存在天花板效应(健康效应)。相关性为中等至良好。上肢疾病患者看起来比下背部疼痛患者“更健康”。除了OHS的身体功能部分(p = 0.51)外,这些测量工具能够区分不同的健康状况(p < 0.05)。不同的问卷对健康状况的描述不同。临床医生和研究人员在选择结果测量工具时应慎重考虑,因为不同的工具可能会改变对特定疾病的描述、干预措施和优先级。

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