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[职业再培训中心为期两年的再培训措施后的职业融合——一种预后模型]

[Vocational integration after a two-year retraining measure in vocational retraining centres--a prognostic model].

作者信息

Köster T, Fehr M, Slesina W

机构信息

Sektion Medizinische Soziologie, Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale).

出版信息

Rehabilitation (Stuttg). 2007 Oct;46(5):258-65. doi: 10.1055/s-2007-991140.

Abstract

BACKGROUND

Vocational rehabilitation aims at occupational reintegration of the clients. This article focuses on several key results of an evaluation study on rehabilitative vocational training programmes. A central research goal was to identify prognostic factors for successful vocational integration.

METHOD

Three vocational retraining centres (Berufsförderungswerke) participated in this cohort study with five waves of measurement. Data gathering on process and outcome quality of the two-year training programmes was based on client-surveys (questionnaires). A prognostic model for occupational integration one year after the training measure was developed, based on questionnaire data gathered at the beginning of the training courses.

RESULTS

One year after completion of their training 55% of the participants had returned to a job (dependent or self-employed). The logistic regression model for prognosis of return to work showed six relevant variables, and occupational integration as well as nonintegration 12 months after training could be predicted in 77%. Regional unemployment rates revealed to be the most important predictive variable for job reintegration. Other significant variables were: control beliefs, educational level, pain, perceived social support, and occupational field. Neither marital status nor level of disability (GdB) proved predictive for return to work. The variables age and gender were significant only in the univariate analysis.

DISCUSSION AND CONCLUSION

A set of variables could be identified as predictive for return to work after a two-year vocational training measure. Some variables, such as control beliefs or perceived social support, may indicate possibilities for specific supportive interventions.

摘要

背景

职业康复旨在帮助服务对象重新融入职业领域。本文聚焦于一项职业康复培训项目评估研究的几个关键结果。一个核心研究目标是确定职业成功融入的预后因素。

方法

三个职业再培训中心(职业促进中心)参与了这项有五轮测量的队列研究。关于两年培训项目过程和结果质量的数据收集基于服务对象调查(问卷)。基于培训课程开始时收集的问卷数据,开发了一个培训措施实施一年后职业融入情况的预后模型。

结果

培训结束一年后,55%的参与者已重返工作岗位(受雇或自主创业)。回归工作预后的逻辑回归模型显示了六个相关变量,培训后12个月的职业融入和未融入情况的预测准确率可达77%。地区失业率被证明是工作重新融入的最重要预测变量。其他显著变量包括:控制信念、教育水平、疼痛、感知到的社会支持和职业领域。婚姻状况和残疾程度(GdB)均未被证明对回归工作有预测作用。年龄和性别变量仅在单变量分析中具有显著性。

讨论与结论

可以确定一组变量对两年职业培训措施后的回归工作具有预测作用。一些变量,如控制信念或感知到的社会支持,可能为特定的支持性干预指明方向。

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