Michelsen Clive, Kjellgren Anette
Science College, University of Karlstad, Malmö, Sweden.
Psychology Department, University of Karlstad, Karlstad, Sweden.
JMIR Form Res. 2022 Aug 11;6(8):e39129. doi: 10.2196/39129.
Burnout is a hidden productivity killer in organizations. Finding a solution to efficiently measure and proactively prevent or rehabilitate employees with burnout is a challenge. To meet this unabated demand, companies and caregivers can focus on proactive measures to prevent "Burnout as an Occupational Phenomenon."
We aimed to address effectiveness, reliability, and validity of the empowerment for participation (EFP) batch of assessments to measure burnout risk in relation to the efficacy of web-based interventions using cognitive behavioral therapy (CBT) and floating to improve mental health and well-being. We introduced three risk assessments: risk for burnout, risk of anxiety, and risk for depression.
We used an interventional, empirical, and parallel design using raw EFP psychometric data to measure the effectiveness of web-based therapy to reduce the risk of burnout between a control group and web-based therapy group. A total of 50 participants were selected. The rehabilitation and control groups consisted of 25 normally distributed employees each. The rehabilitation group received therapy, whereas the control group had not yet received any form of therapy. IBM SPSS was used to analyze the data collected, and a repeated measures ANOVA, an analysis of covariance, a discriminant analysis, and a construct validity analysis were used to test for reliability and validity. The group was selected from a list of employees within the My-E-Health ecosystem who showed a moderate or high risk for burnout. All assessments and mixed-method CBT were web-based, and floating was conducted at designated locations. The complete EFP assessment was integrated into a digital ecosystem designed for this purpose and therapy, offering a secure and encrypted ecosystem.
There was a statistically significant difference between pre- and postassessment scores for burnout. The reliability of the burnout measure was good (Cronbach α=.858; mean 1.826, SD 3.008; Cohen d=0.607; P<.001) with a high validity of 0.9420. A paired samples 2-tailed test showed a good t score of 4.292 and P<.001, with a good effect size, Cohen d=0.607. Web-based therapy reduced the risk for burnout in participants compared with the control group. Tests of between-subject effects show F=16.964, a significant difference between the control group and the web-based therapy group: P<.001, with movement between the group variables of 0.261 or 26.1% for the dependent variable.
This study suggests good reliability and validity of using web-based interventional mixed methods CBT to reduce the risk of burnout. The EFP batch of web-based assessments could reliably identify morbidity risk levels and successfully measure clinical interventions and rehabilitation with consistently reliable results to serve as both a diagnostic and therapeutic tool worthy of major research in the future.
ClinicalTrials.gov NCT05343208; https://clinicaltrials.gov/ct2/show/NCT05343208.
职业倦怠是组织中潜藏的生产力杀手。找到有效衡量并积极预防或帮助患有职业倦怠的员工康复的解决方案是一项挑战。为满足这一持续存在的需求，公司和护理人员可专注于采取积极措施来预防“职业倦怠这一职业现象”。
我们旨在探讨参与赋权（EFP）系列评估在衡量职业倦怠风险方面的有效性、可靠性和效度，这些评估与使用认知行为疗法（CBT）和冥想以改善心理健康和幸福感的网络干预效果相关。我们引入了三项风险评估：职业倦怠风险、焦虑风险和抑郁风险。
我们采用了干预性、实证性和平行设计，使用原始的EFP心理测量数据来衡量网络疗法在降低对照组和网络疗法组之间职业倦怠风险方面的有效性。总共选取了50名参与者。康复组和对照组各由25名正态分布的员工组成。康复组接受治疗，而对照组尚未接受任何形式的治疗。使用IBM SPSS对收集到的数据进行分析，并使用重复测量方差分析、协方差分析、判别分析和结构效度分析来检验可靠性和效度。该组是从My-E-Health生态系统中显示出中度或高度职业倦怠风险的员工名单中选取的。所有评估和混合方法CBT均基于网络进行，冥想在指定地点进行。完整的EFP评估被整合到为此目的设计的数字生态系统以及治疗中，提供一个安全且加密的生态系统。
职业倦怠评估前和评估后的分数之间存在统计学上的显著差异。职业倦怠测量的可靠性良好（克朗巴哈α系数=0.858；均值1.826，标准差3.008；科恩d=0.607；P<0.001），效度高达0.9420。配对样本双尾检验显示t分数为4.292且P<0.001，效应量良好，科恩d=0.607。与对照组相比，网络疗法降低了参与者的职业倦怠风险。组间效应检验显示F=16.964，对照组和网络疗法组之间存在显著差异：P<0.001，因变量在组变量之间的变化为0.261或26.1%。
本研究表明，使用基于网络的干预性混合方法CBT来降低职业倦怠风险具有良好的可靠性和效度。基于网络的EFP系列评估能够可靠地识别发病风险水平，并成功测量临床干预和康复情况，结果始终可靠，可作为未来值得重点研究的诊断和治疗工具。
ClinicalTrials.gov NCT05343208；https://clinicaltrials.gov/ct2/show/NCT05343208 。
