Kuster Anootnara Talkul, Dalsbø Therese K, Luong Thanh Bao Yen, Agarwal Arnav, Durand-Moreau Quentin V, Kirkehei Ingvild
Department of Environmental Health Science, Occupational Health and Safety, Faculty of Public Health, Khon Kaen University, 123 Moo 16 Mittapap Rd., Khon Kaen, Thailand, 40002.
Cochrane Database Syst Rev. 2017 Aug 30;8(8):CD011899. doi: 10.1002/14651858.CD011899.pub2.
Chronic exposure to stress has been linked to several negative physiological and psychological health outcomes. Among employees, stress and its associated effects can also result in productivity losses and higher healthcare costs. In-person (face-to-face) and computer-based (web- and mobile-based) stress management interventions have been shown to be effective in reducing stress in employees compared to no intervention. However, it is unclear if one form of intervention delivery is more effective than the other. It is conceivable that computer-based interventions are more accessible, convenient, and cost-effective.
To compare the effects of computer-based interventions versus in-person interventions for preventing and reducing stress in workers.
We searched CENTRAL, MEDLINE, PubMed, Embase, PsycINFO, NIOSHTIC, NIOSHTIC-2, HSELINE, CISDOC, and two trials registers up to February 2017.
We included randomised controlled studies that compared the effectiveness of a computer-based stress management intervention (using any technique) with a face-to-face intervention that had the same content. We included studies that measured stress or burnout as an outcome, and used workers from any occupation as participants.
Three authors independently screened and selected 75 unique studies for full-text review from 3431 unique reports identified from the search. We excluded 73 studies based on full-text assessment. We included two studies. Two review authors independently extracted stress outcome data from the two included studies. We contacted study authors to gather additional data. We used standardised mean differences (SMDs) with 95% confidence intervals (CIs) to report study results. We did not perform meta-analyses due to variability in the primary outcome and considerable statistical heterogeneity. We used the GRADE approach to rate the quality of the evidence.
Two studies met the inclusion criteria, including a total of 159 participants in the included arms of the studies (67 participants completed computer-based interventions; 92 participants completed in-person interventions). Workers were primarily white, Caucasian, middle-aged, and college-educated. Both studies delivered education about stress, its causes, and strategies to reduce stress (e.g. relaxation or mindfulness) via a computer in the computer-based arm, and via small group sessions in the in-person arm. Both studies measured stress using different scales at short-term follow-up only (less than one month). Due to considerable heterogeneity in the results, we could not pool the data, and we analysed the results of the studies separately. The SMD of stress levels in the computer-based intervention group was 0.81 standard deviations higher (95% CI 0.21 to 1.41) than the in-person group in one study, and 0.35 standard deviations lower (95% CI -0.76 to 0.05) than the in-person group in another study. We judged both studies as having a high risk of bias.
AUTHORS' CONCLUSIONS: We found very low-quality evidence with conflicting results, when comparing the effectiveness of computer-based stress management interventions with in-person stress management interventions in employees. We could include only two studies with small sample sizes. We have very little confidence in the effect estimates. It is very likely that future studies will change these conclusions.
长期暴露于压力下与多种负面的生理和心理健康结果相关。在员工中,压力及其相关影响还会导致生产力损失和更高的医疗成本。与不进行干预相比,面对面(亲自参与)和基于计算机(网络和移动设备)的压力管理干预已被证明能有效减轻员工的压力。然而,尚不清楚哪种干预方式更有效。可以想象,基于计算机的干预更容易获得、更方便且更具成本效益。
比较基于计算机的干预与面对面干预对预防和减轻员工压力的效果。
我们检索了截至2017年2月的Cochrane系统评价数据库、医学主题词表(MEDLINE)、PubMed、Embase、心理学文摘数据库(PsycINFO)、美国国家职业安全与健康研究所数据库(NIOSHTIC)、NIOSHTIC - 2、英国健康与安全执行局数据库(HSELINE)、国际劳工组织文档数据库(CISDOC)以及两个试验注册库。
我们纳入了随机对照研究,这些研究比较了基于计算机的压力管理干预(使用任何技术)与具有相同内容的面对面干预的有效性。我们纳入了将压力或倦怠作为结局指标进行测量,且以任何职业的工人作为参与者的研究。
三位作者独立筛选并从检索到的3431篇独特报告中选择了75项独特研究进行全文审查。基于全文评估,我们排除了73项研究。我们纳入了两项研究。两位综述作者独立从这两项纳入研究中提取压力结局数据。我们联系了研究作者以收集更多数据。我们使用标准化均数差(SMD)及95%置信区间(CI)来报告研究结果。由于主要结局存在变异性且有相当大的统计异质性,我们未进行Meta分析。我们使用GRADE方法对证据质量进行评级。
两项研究符合纳入标准,纳入研究的各臂共有159名参与者(67名参与者完成了基于计算机的干预;92名参与者完成了面对面干预)。工人主要为白人、高加索人、中年且受过大学教育。两项研究在基于计算机的干预组中通过计算机提供有关压力、其成因以及减轻压力策略(如放松或正念)的教育,在面对面干预组中通过小组会议提供这些教育。两项研究仅在短期随访(不到一个月)时使用不同量表测量压力。由于结果存在相当大的异质性,我们无法合并数据,因此分别分析了两项研究的结果。在一项研究中,基于计算机的干预组的压力水平标准化均数差比面对面干预组高0.81个标准差(95%CI 0.21至1.41),在另一项研究中比面对面干预组低0.35个标准差(95%CI -0.76至0.05)。我们判定两项研究均存在高偏倚风险。
在比较基于计算机的压力管理干预与员工面对面压力管理干预的有效性时,我们发现证据质量极低且结果相互矛盾。我们仅能纳入两项样本量较小的研究。我们对效应估计值几乎没有信心。未来的研究很可能会改变这些结论。