Screening instruments for predicting return to work in long-term sickness absence.

A-M H Momsen, C M Stapelfeldt, C V Nielsen, M B D Nielsen, R Rugulies, C Jensen
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引用次数: 8

Abstract

Background: Multiple somatic symptoms are common and may cause prolonged sickness absence (SA) and unsuccessful return to work (RTW).

Aims: To compare three instruments and their predictive and discriminative abilities regarding RTW.

Methods: A longitudinal cohort study of participants recruited from two municipal job centres, with at least 8 weeks of SA. The instruments used were the Symptom Check List of somatic distress (SCL-SOM) (score 0-48 points), the Bodily Distress Syndrome Questionnaire (BDSQ) (0-120 points) and the one-item self-rated health (SRH) (1-5 points). The instruments' predictive value was explored in a time-to-event analysis. Different cut-points were analysed to find the highest number of correctly classified RTW cases, identified in a register on public transfer payments.

Results: The study involved 305 subjects. The adjusted relative risk regarding prediction of RTW was 0.89 [95% confidence interval (CI) 0.83-0.95], 0.89 (95% CI 0.83-0.95) and 0.78 (95% CI 0.70-0.86) per 5-, 10- and 1-point increase in the SCL-SOM, BDSQ and SRH, respectively. After mutual adjustment for the three instruments, only the prediction of RTW from SRH remained statistically significant 0.81 (95% CI 0.72-0.92). The highest sensitivity (86%) was found by SRH at the cut-point ≤5, at which 62% were correctly classified.

Conclusions: All three instruments predicted RTW, but only SRH remained a significant predictor after adjustment for the SCL-SOM and BDSQ. The SRH provides an efficient alternative to more time-consuming instruments such as SCL-SOM or BDSQ for estimating the chances of RTW among sickness absentees.

预测长期疾病缺勤后重返工作岗位的筛选工具。
背景:多种躯体症状是常见的,并可能导致长期病假(SA)和不成功返回工作(RTW)。目的:比较三种仪器对RTW的预测和判别能力。方法:从两个市政就业中心招募的参与者进行纵向队列研究,至少有8周的SA。采用躯体困扰症状检查表(SCL-SOM)(0 ~ 48分)、躯体困扰综合征问卷(BDSQ)(0 ~ 120分)和单项健康自评量表(SRH)(1 ~ 5分)。在事件时间分析中探讨了仪器的预测价值。分析了不同的分割点,以找到在公共转移支付登记册中确定的正确分类的RTW病例的最高数量。结果:本研究共涉及305名受试者。SCL-SOM、BDSQ和SRH每增加5、10和1点,预测RTW的调整相对风险分别为0.89(95%可信区间(CI) 0.83-0.95)、0.89 (95% CI 0.83-0.95)和0.78 (95% CI 0.70-0.86)。在对三个工具进行相互调整后,只有SRH对RTW的预测仍然具有统计学意义0.81 (95% CI 0.72-0.92)。在切点≤5时,SRH的灵敏度最高(86%),其中62%正确分类。结论:所有三种仪器都能预测RTW,但在调整了SCL-SOM和BDSQ后,只有SRH仍然是显著的预测因子。SRH提供了一种有效的替代更耗时的工具,如SCL-SOM或BDSQ,用于估计病假缺勤人员的RTW机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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