ArboNed Occupational Health Service, PO Box 85091, 3508 AB, Utrecht, The Netherlands.
Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
J Occup Rehabil. 2017 Jun;27(2):202-209. doi: 10.1007/s10926-016-9646-1.
Purpose The objective of the present study was to validate an existing prediction rule (including age, education, depressive/anxiety symptoms, and recovery expectations) for predictions of the duration of sickness absence due to common mental disorders (CMDs) and investigate the added value of work-related factors. Methods A prospective cohort study including 596 employees who reported sick with CMDs in the period from September 2013 to April 2014. Work-related factors were measured at baseline with the Questionnaire on the Experience and Evaluation of Work. During 1-year follow-up, sickness absence data were retrieved from an occupational health register. The outcome variables of the study were sickness absence (no = 0, yes = 1) at 3 and 6 months after reporting sick with CMDs. Discrimination between workers with and without sickness absence was investigated at 3 and 6 months with the area under the receiver operating characteristic curve (AUC). Results A total of 220 (37 %) employees agreed to participate and 211 (35 %) had complete data for analysis. Discrimination was poor with AUC = 0.69 and AUC = 0.55 at 3 and 6 months, respectively. When 'variety in work' was added as predictor variable, discrimination between employees with and without CMD sickness absence improved to AUC = 0.74 (at 3 months) and AUC = 0.62 (at 6 months). Conclusions The original prediction rule poorly predicted CMD sickness absence duration. After adding 'variety in work', the prediction rule discriminated between employees with and without CMD sickness absence 3 months after reporting sick. This new prediction rule remains to be validated in other populations.
目的 本研究的目的是验证现有的预测规则(包括年龄、教育、抑郁/焦虑症状和康复预期)是否能预测常见精神障碍(CMD)的病假持续时间,并探讨工作相关因素的附加价值。
方法 一项前瞻性队列研究纳入了 596 名 2013 年 9 月至 2014 年 4 月期间因 CMD 请病假的员工。工作相关因素在基线时使用工作经历和评估问卷进行测量。在 1 年的随访期间,从职业健康登记处检索病假数据。研究的结局变量为报告 CMD 病假后 3 个月和 6 个月的病假(无=0,有=1)。使用受试者工作特征曲线(ROC)下面积(AUC)评估 3 个月和 6 个月时有无病假员工的区分能力。
结果 共有 220 名(37%)员工同意参与,211 名(35%)员工有完整的数据进行分析。AUC 分别为 0.69 和 0.55,区分能力较差。当将“工作多样性”添加为预测变量时,CMD 病假员工与无病假员工之间的区分能力提高至 AUC 分别为 0.74(3 个月)和 0.62(6 个月)。
结论 原始预测规则对 CMD 病假持续时间的预测能力较差。添加“工作多样性”后,该预测规则在报告病假后 3 个月时可区分 CMD 病假员工和无病假员工。该新预测规则仍需在其他人群中进行验证。