DEFACTUM, Social & Health Services and Labour Market, Central Denmark Region, 8000 Aarhus C, Denmark.
Department of Public Health, Section of Clinical Social Medicine and Rehabilitation, Aarhus University, 8000 Aarhus C, Denmark.
Occup Med (Lond). 2017 Mar 1;67(2):101-108. doi: 10.1093/occmed/kqw093.
Multiple somatic symptoms are common and may cause prolonged sickness absence (SA) and unsuccessful return to work (RTW).
To compare three instruments and their predictive and discriminative abilities regarding RTW.
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.
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.
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.
多种躯体症状较为常见,可能导致长时间病假(SA)和不成功的重返工作岗位(RTW)。
比较三种工具及其对 RTW 的预测和区分能力。
一项来自两个市立职业中心的参与者的纵向队列研究,至少有 8 周的 SA。使用的工具是躯体痛苦症状清单(SCL-SOM)(0-48 分)、躯体痛苦综合征问卷(BDSQ)(0-120 分)和单项自评健康(SRH)(1-5 分)。通过时间事件分析探讨了这些工具的预测价值。分析了不同的截断值,以找到在公共转移支付登记册中确定的 RTW 病例的正确分类数量最多。
该研究涉及 305 名受试者。SCL-SOM、BDSQ 和 SRH 每增加 5、10 和 1 分,RTW 的调整相对风险分别为 0.89(95%置信区间 [CI] 0.83-0.95)、0.89(95% CI 0.83-0.95)和 0.78(95% CI 0.70-0.86)。在相互调整三个工具后,仅 SRH 对 RTW 的预测仍具有统计学意义(0.81 [95% CI 0.72-0.92])。在 SCL-SOM 和 BDSQ 调整后,SRH 的截断值为≤5 时的敏感性最高(86%),此时 62%被正确分类。
所有三种工具都预测了 RTW,但仅 SRH 在调整 SCL-SOM 和 BDSQ 后仍保持显著预测。SRH 为估计病假者 RTW 的可能性提供了一种比 SCL-SOM 或 BDSQ 等更耗时的工具更有效的替代方案。