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肌肉骨骼残疾、就业与康复

Musculoskeletal disability, employment, and rehabilitation.

作者信息

Straaton K V, Maisiak R, Wrigley J M, Fine P R

机构信息

Department of Medicine, University of Alabama at Birmingham 35294-3296, USA.

出版信息

J Rheumatol. 1995 Mar;22(3):505-13.

PMID:7783071
Abstract

OBJECTIVE

To determine which, if any, baseline social and disease characteristics can be used to identify persons with musculoskeletal disabilities accepted for state-federal vocational rehabilitation services who are most likely to return to work.

METHODS

A database of case closures from the Alabama Vocational Rehabilitation Service was analyzed using segmentation modelling. This included all persons (n = 4093) with musculoskeletal disability who were accepted by the Alabama Vocational Rehabilitation Agency in 1987-91. Demographics, income, type of disability, severity of disability, medical insurance, similar benefits, benefit status, and referral source were independent variables. Outcome (dependent) variable was work status at end of agency services.

RESULTS

Overall, 71% of persons with arthritis and musculoskeletal disorders who were accepted for vocational rehabilitation services in 1987-91 returned to work at the end of agency services. Segmentation modelling created a tree in which certain baseline characteristics formed subgroups with differing rates of successful rehabilitation. Social Security Disability Insurance (SSDI) status was the single best predictor of rehabilitation. Seventy-three percent of nonbeneficiaries were rehabilitated compared to 55% of beneficiaries (p < 0.00001). For non-SSDI beneficiaries, education level > or = grade 12 was associated with better rehabilitation outcome (p < 0.00001). SSDI beneficiaries with nonback disorders fared better than those with back disorders (p < 0.05). Disease severity, assessed by Federal Special Programs criteria, was not associated with rehabilitation outcome at any level of the tree.

CONCLUSION

Simple baseline social and disease characteristics can be used to identify groups of persons accepted for vocational rehabilitation services with musculoskeletal disability with differing rates of vocational rehabilitation. Disability benefit status and education level are important predictors of return to work after agency services. These findings can lead to the development of strategies to improve the efficacy of vocational rehabilitation services.

摘要

目的

确定哪些基线社会和疾病特征(如果有的话)可用于识别那些被州-联邦职业康复服务机构接纳的肌肉骨骼残疾人士中最有可能重返工作岗位的人。

方法

使用分段建模分析了阿拉巴马州职业康复服务机构的结案数据库。这包括1987年至1991年被阿拉巴马州职业康复机构接纳的所有肌肉骨骼残疾人士(n = 4093)。人口统计学、收入、残疾类型、残疾严重程度、医疗保险、类似福利、福利状况和转介来源均为自变量。结果(因)变量是机构服务结束时的工作状态。

结果

总体而言,1987年至1991年被接纳接受职业康复服务的关节炎和肌肉骨骼疾病患者中,71%在机构服务结束时重返工作岗位。分段建模创建了一棵树,其中某些基线特征形成了具有不同成功康复率的亚组。社会保障残疾保险(SSDI)状况是康复的最佳单一预测指标。73%的非受益人康复,而受益人的这一比例为55%(p < 0.00001)。对于非SSDI受益人,教育水平≥12年级与更好的康复结果相关(p < 0.00001)。患有非背部疾病的SSDI受益人比患有背部疾病的受益人康复情况更好(p < 0.05)。根据联邦特殊项目标准评估的疾病严重程度在树的任何层次上均与康复结果无关。

结论

简单的基线社会和疾病特征可用于识别被接纳接受肌肉骨骼残疾职业康复服务的不同职业康复率人群。残疾福利状况和教育水平是机构服务后重返工作岗位的重要预测指标。这些发现可促成制定提高职业康复服务效果的策略。

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