School of Public Health, La Trobe University.
Rehabilitation Studies Unit, Faculty of Medicine, University of Sydney.
Rehabil Psychol. 2011 Aug;56(3):251-256. doi: 10.1037/a0024524.
This exploratory study examined the extent to which postinjury employment was predictable when patients were followed up 2 years' postdischarge from a specialist Spinal Cord Injury (SCI) Unit.
Seventy-two individuals with SCI for whom there were discharge Functional Independence Measure (FIM) scores, 60 complete sets of data were available for Discriminant Function Analysis.
Using a combination of variables assessed prior to or shortly after discharge from rehabilitation, complemented by psychosocial variables assessed at the time of follow-up, moderate classification accuracy was achieved with respect to employment status at the 2-year follow-up period (72%), with the set of predictor variables being more accurate at predicting those subsequently in paid employment (83%) than those not (67%).
The main implication of the study results is that nontraditional variables (i.e., variables other than injury and demographic variables), including, particularly, contextual environmental variables such as community integration, access to transport, and social support, are worthy of further research, especially because many of these are amenable to rehabilitation program interventions, and thus may facilitate the attainment of enhanced rates of postdischarge employment among those living with SCI.
本探索性研究旨在探讨当患者在从脊髓损伤（SCI）专科病房出院后 2 年进行随访时，受伤后就业的程度是否可以预测。
72 名 SCI 患者在出院时具有功能独立性测量（FIM）评分，其中有 60 套完整的数据可用于判别函数分析。
使用在康复出院前或不久后评估的变量组合，并辅以在随访时评估的心理社会变量，对于 2 年随访期间的就业状况，中等的分类准确性得以实现（72%），预测那些随后从事有薪就业的变量（83%）比预测那些没有从事有薪就业的变量（67%）更为准确。
研究结果的主要意义在于，非传统变量（即除损伤和人口统计学变量以外的变量），特别是包括社区融合、交通便利和社会支持等情境环境变量，值得进一步研究，尤其是因为这些变量中有许多可以通过康复计划干预来实现，从而可以促进 SCI 患者出院后的就业率提高。
