Prediction of chronic disability in work-related musculoskeletal disorders: a prospective, population-based study.
Prediction of chronic disability in work-related musculoskeletal disorders: a prospective, population-based study.
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DOI：
10.1186/1471-2474-5-14
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发表时间：
2004-05-24
影响因子：
2.3
通讯作者：
Kaufman JD
中科院分区：
文献类型：
--
作者：
Turner JA;Franklin G;Fulton-Kehoe D;Egan K;Wickizer TM;Lymp JF;Sheppard L;Kaufman JD
与工作相关的肌肉骨骼疾病相关的残疾是一个日益严重的社会问题。尽管大多数受伤工人很快就能返回工作岗位，但也有相当一部分人没有返回工作岗位。慢性残疾给受伤工人、他或她的家人、雇主和社会带来巨大的损失。准确及早识别有慢性残疾风险的受伤工人的方法可以使这些人成为早期干预的目标，以促进重返工作岗位和正常运作。本研究的目的是开发统计模型，根据行政数据库和工伤后不久的工人访谈获得的数据准确预测慢性工作残疾。基于这些模型，我们将开发一个简短的工具，可以在医疗或工人赔偿环境中使用，以筛查受伤工人的慢性残疾风险。这是一项基于人群的前瞻性研究。研究人群包括华盛顿州因工作相关的背部受伤或腕管综合症 (CTS) 提出索赔的工人。华盛顿州劳工和工业部的索赔数据库每周都会进行审查，以确定有新的工伤背伤和 CTS 索赔的工人，并会打电话给这些工人并邀请他们参与。注册的工人在基线和一年后完成计算机辅助电话采访。基线访谈评估社会人口、就业相关、生物医学/医疗保健、法律和社会心理风险因素。后续访谈评估疼痛、残疾和工作状况。主要结果是根据行政数据评估，提交索赔后一年内工作残疾的持续时间。次要结果包括一年内的工作残疾状况，通过自我报告和工作残疾补偿状况（管理记录）进行评估。 1,800 名背部受伤工人和 1,200 名 CTS 工人的样本量将提供足够的统计功效（下背部为 0.96，CTS 为 0.85）来预测残疾，α 值为 0.05（两侧），风险比为 1.2。将构建比例风险回归模型，以确定一年内工作残疾持续时间的最佳预测因素组合。还将针对次要结果开发回归模型。
Disability associated with work-related musculoskeletal disorders is an increasingly serious societal problem. Although most injured workers return quickly to work, a substantial number do not. The costs of chronic disability to the injured worker, his or her family, employers, and society are enormous. A means of accurate early identification of injured workers at risk for chronic disability could enable these individuals to be targeted for early intervention to promote return to work and normal functioning. The purpose of this study is to develop statistical models that accurately predict chronic work disability from data obtained from administrative databases and worker interviews soon after a work injury. Based on these models, we will develop a brief instrument that could be administered in medical or workers' compensation settings to screen injured workers for chronic disability risk. This is a population-based, prospective study. The study population consists of workers who file claims for work-related back injuries or carpal tunnel syndrome (CTS) in Washington State. The Washington State Department of Labor and Industries claims database is reviewed weekly to identify workers with new claims for work-related back injuries and CTS, and these workers are telephoned and invited to participate. Workers who enroll complete a computer-assisted telephone interview at baseline and one year later. The baseline interview assesses sociodemographic, employment-related, biomedical/health care, legal, and psychosocial risk factors. The follow-up interview assesses pain, disability, and work status. The primary outcome is duration of work disability over the year after claim submission, as assessed by administrative data. Secondary outcomes include work disability status at one year, as assessed by both self-report and work disability compensation status (administrative records). A sample size of 1,800 workers with back injuries and 1,200 with CTS will provide adequate statistical power (0.96 for low back and 0.85 for CTS) to predict disability with an alpha of .05 (two-sided) and a hazard ratio of 1.2. Proportional hazards regression models will be constructed to determine the best combination of predictors of work disability duration at one year. Regression models will also be developed for the secondary outcomes.
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影响因子：
3
作者：
ABENHAIM, L;ROSSIGNOL, M;SCOTT, S
通讯作者：
SCOTT, S
影响因子：
3
作者：
Hagen, KB;Tambs, K;Bjerkedal, T
通讯作者：
Bjerkedal, T
影响因子：
3
作者：
DEYO, RA
通讯作者：
DEYO, RA
影响因子：
4.7
作者：
Carmona, L;Faucett, J;Yelin, E
通讯作者：
Yelin, E
影响因子：
3.5
作者：
CROOK, J;MOLDOFSKY, H
通讯作者：
MOLDOFSKY, H