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创伤性脊髓损伤康复出院后一年就业状况的预测:参与度和环境变量的探索性分析。

Prediction of employment status one year post-discharge from rehabilitation following traumatic spinal cord injury: an exploratory analysis of participation and environmental variables.

作者信息

Murphy Gregory, Middleton James, Quirk Ruth, De Wolf Annelies, Cameron Ian D

机构信息

School of Public Health, La Trobe University, Bundoora VIC 3083, Australia.

出版信息

J Rehabil Med. 2009 Nov;41(13):1074-9. doi: 10.2340/16501977-0465.

Abstract

OBJECTIVE

To identify the extent to which early participation and environmental variables, when assessed at discharge from hospital, add to injury and demographic variables in the prediction of employment following traumatic spinal cord injury.

DESIGN

Prospective study in which participants were assessed on a range of injury, demographic, participation and environmental measures at discharge from inpatient rehabilitation and then followed up 12 months later to assess their employment status.

SUBJECTS

A cohort of 72 eligible patients discharged from hospitals' rehabilitation units.

RESULTS

Using injury, demographic and contextual variables as predictors, 94% of not employed and 65% of employed cases (87% overall) could be correctly classified. The contextual variables made a significant contribution to improving predictive power, beyond that achieved by use of the more restricted set of injury and demographic variables. Three variables made significant, independent contributions at the third and final step of a sequential logistic regression: Functional Independence Measure score at discharge, high-skill pre-injury occupation, and perceived community integration (CIM score, at discharge).

CONCLUSION

To assist in raising employment achievements post-injury, attention should be given during rehabilitation to factors beyond the traditional patient injury and demographic variables, as well as considering community integration support services when developing vocational rehabilitation service plans.

摘要

目的

确定在出院时评估的早期参与度和环境变量在预测创伤性脊髓损伤后的就业情况时,对损伤和人口统计学变量的补充程度。

设计

前瞻性研究,在住院康复出院时对参与者进行一系列损伤、人口统计学、参与度和环境指标的评估,然后在12个月后进行随访以评估他们的就业状况。

研究对象

一组72名从医院康复科出院的符合条件的患者。

结果

将损伤、人口统计学和背景变量作为预测因素,94%的未就业病例和65%的就业病例(总体为87%)能够被正确分类。背景变量对提高预测能力有显著贡献,超出了使用更有限的损伤和人口统计学变量所达到的效果。在逐步逻辑回归的第三步也是最后一步,有三个变量做出了显著的独立贡献:出院时的功能独立性测量得分、伤前高技能职业以及感知到的社区融入度(出院时的CIM得分)。

结论

为了帮助提高伤后的就业成就,康复期间应关注传统患者损伤和人口统计学变量之外的因素,并在制定职业康复服务计划时考虑社区融入支持服务。

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