Notenbomer Annette, Roelen Corné, Groothoff Johan, van Rhenen Willem, Bültmann Ute
Division Community and Occupational Medicine, Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Arbo Unie, Utrecht, Netherlands.
J Med Internet Res. 2018 Oct 23;20(10):e10821. doi: 10.2196/10821.
Frequent sickness absence-that is, 3 or more episodes of sickness absence in 1 year-is a problem for employers and employees. Many employees who have had frequent sickness absence in a prior year also have frequent sickness absence in subsequent years: 39% in the first follow-up year and 61% within 4 years. Moreover, 19% have long-term sickness absence (≥6 weeks) in the first follow-up year and 50% within 4 years. We developed an electronic health (eHealth) intervention, consisting of fully automated feedback and advice, to use either as a stand-alone tool (eHealth intervention-only) or combined with consultation with an occupational physician (eHealth intervention-occupational physician).
This study aimed to evaluate the effect of the eHealth intervention, with or without additional occupational physician consultation, to reduce sickness absence frequency for employees with frequent sickness absence, versus care as usual (CAU).
This study was a three-armed randomized controlled trial. Employees with frequent sickness absence received invitational letters, which were distributed by their employers. The primary outcome measure was the number of register-based sickness absence episodes 12 months after completing the baseline questionnaire. Secondary outcome measures were register-based total sickness absence days and self-assessed burnout, engagement, and work ability. In a process evaluation 3 months after baseline, we examined adherence to the intervention and additional actions such as general practitioner and occupational physician visit, communication with the manager, and lifestyle change.
A total of 82 participants were included in the analyses, 21 in the eHealth intervention-only group, 31 in the eHealth intervention-occupational physician group, and 30 in the CAU group. We found no significant difference in sickness absence frequency between the groups at 1-year follow-up. Sickness absence frequency decreased in the eHealth intervention-only group from 3 (interquartile range, IQR 3-4) to 1 episode (IQR 0.3-2.8), in the eHealth intervention-occupational physician group from 4 (IQR 3-5) to 3 episodes (IQR 1-4), and in the CAU group from 3 (IQR 3-4) to 2 episodes (IQR 1-3). For secondary outcomes, we found no significant differences between the intervention groups and the control group. The process evaluation showed that only 3 participants from the eHealth intervention-occupational physician group visited the occupational physician on invitation.
Among employees with frequent sickness absence, we found no effect from the eHealth intervention as a stand-alone tool in reducing sickness absence frequency, nor on total sickness absence days, burnout, engagement, or work ability. This might be due to low adherence to the intervention because of insufficient urgency to act. We cannot draw any conclusion on the effect of the eHealth intervention tool combined with an occupational physician consultation (eHealth intervention-occupational physician), due to very low adherence to the occupational physician consultation. An occupational physician consultation could increase a sense of urgency and lead to more focus and appropriate support. As this was the first effectiveness study among employees with frequent sickness absence, strategies to improve recruitment and adherence in occupational eHealth are included.
Netherlands Trial Register NTR4316; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4316 (Archived by WebCite at http://www.webcitation.org/713DHhOFU).
频繁病假,即一年中出现3次或更多次病假情况,这对雇主和雇员来说都是个问题。许多在前一年频繁病假的雇员在随后几年中仍频繁病假:在首次随访年中为39%,4年内为61%。此外,19%的人在首次随访年中有长期病假(≥6周),4年内为50%。我们开发了一种电子健康(eHealth)干预措施,包括全自动反馈和建议,既可以作为独立工具使用(仅eHealth干预),也可以与职业医师咨询相结合(eHealth干预 - 职业医师)。
本研究旨在评估eHealth干预措施(有无额外职业医师咨询)对减少频繁病假雇员病假频率的效果,与常规护理(CAU)进行对比。
本研究是一项三臂随机对照试验。频繁病假的雇员收到由其雇主分发的邀请信。主要结局指标是完成基线问卷12个月后基于登记的病假发作次数。次要结局指标是基于登记的病假总天数以及自我评估的倦怠、工作投入和工作能力。在基线后3个月的过程评估中,我们检查了对干预措施的依从性以及其他额外行为,如看全科医生和职业医师、与经理沟通以及生活方式改变。
共有82名参与者纳入分析,仅eHealth干预组21人,eHealth干预 - 职业医师组31人,CAU组30人。我们发现在1年随访时,各组之间病假频率无显著差异。仅eHealth干预组的病假频率从3次(四分位间距,IQR 3 - 4)降至1次(IQR 0.3 - 2.8),eHealth干预 - 职业医师组从4次(IQR 3 - 5)降至3次(IQR 1 - 4),CAU组从3次(IQR 3 - 4)降至2次(IQR 1 - 3)。对于次要结局,我们发现干预组与对照组之间无显著差异。过程评估显示,仅eHealth干预 - 职业医师组中有3名参与者应邀请去看了职业医师。
在频繁病假的雇员中,我们发现作为独立工具的eHealth干预措施在减少病假频率方面没有效果,对病假总天数、倦怠、工作投入或工作能力也没有影响。这可能是由于行动紧迫性不足导致对干预措施的依从性较低。由于对职业医师咨询的依从性非常低,我们无法就eHealth干预工具与职业医师咨询相结合(eHealth干预 - 职业医师)的效果得出任何结论。职业医师咨询可能会增加紧迫感,并导致更多关注和适当支持。由于这是首次针对频繁病假雇员的有效性研究,其中包含了改善职业eHealth招募和依从性的策略。
荷兰试验注册NTR4316;http://www.trialregister.nl/trialreg/admin/rctview.asp?TC = 4316(由WebCite存档于http://www.webcitation.org/713DHhOFU)