Tang Kenneth, Beaton Dorcas E, Hogg-Johnson Sheilah, Côté Pierre, Loisel Patrick, Amick Benjamin C
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Musculoskeletal Health and Outcomes Research, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada; Institute for Work & Health, Toronto, Ontario, Canada; School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Musculoskeletal Health and Outcomes Research, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada; Institute for Work & Health, Toronto, Ontario, Canada.
Arch Phys Med Rehabil. 2015 Sep;96(9):1658-65. doi: 10.1016/j.apmr.2015.04.022. Epub 2015 May 10.
To investigate the predictive ability of the Upper-Limb Work Instability Scale (UL-WIS) for transitioning out of work among injured workers with chronic, work-related upper extremity disorders (WRUEDs).
Secondary analysis of a 12-month cohort study with data collection at baseline and 3-, 6-, and 12-month follow-up. Survey questionnaires were used to collect data on an array of sociodemographic, health-related, and work-related variables.
Upper extremity specialty clinics.
Injured workers (N=356) with WRUEDs who were working at the time of initial clinic attendance.
Not applicable.
Transitioning out of work.
Multivariable logistic regression that considered 9 potential confounders revealed baseline UL-WIS (range, 0-17) to be a statistically significant predictor of a subsequent transition out of work (adjusted odds ratio, 1.18; 95% confidence interval [CI], 1.07-1.31; P=.001). An assessment of predictive values across the UL-WIS score range identified cut-scores of <6 (negative predictive value, .81; 95% CI, .62-.94) and >15 (positive predictive value, .80; 95% CI, .52-.96), differentiating the scale into 3 bands representing low, moderate, and high risk of exiting work.
The UL-WIS was shown to be an independent predictor of poor work sustainability among injured workers with chronic WRUEDs; however, when applied as a standalone tool in clinical settings, some limits to its predictive accuracy should also be recognized.
探讨上肢工作不稳定性量表(UL-WIS)对患有慢性工作相关上肢疾病(WRUEDs)的受伤工人离职的预测能力。
对一项为期12个月的队列研究进行二次分析,在基线以及3个月、6个月和12个月随访时收集数据。使用调查问卷收集一系列社会人口统计学、健康相关和工作相关变量的数据。
上肢专科诊所。
在初次就诊时仍在工作的患有WRUEDs的受伤工人(N = 356)。
不适用。
离职。
考虑9个潜在混杂因素的多变量逻辑回归显示,基线UL-WIS(范围为0 - 17)是随后离职的统计学显著预测因素(调整后的优势比为1.18;95%置信区间[CI]为1.07 - 1.31;P = 0.001)。对UL-WIS评分范围内的预测值进行评估,确定得分<6(阴性预测值为0.81;95% CI为0.62 - 0.94)和>15(阳性预测值为0.80;95% CI为0.52 - 0.96)为临界值,将该量表分为代表低、中、高离职风险的3个区间。
UL-WIS被证明是患有慢性WRUEDs的受伤工人工作可持续性差的独立预测因素;然而,在临床环境中作为单一工具应用时,也应认识到其预测准确性存在一些局限性。