Effectiveness of Online Therapy to Prevent Burnout
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 50
- 试验地点
- 2
- 主要终点
- To measure the difference between a pre- and post-assessment score for Burnout in a Control Group versus a Therapy Group.
研究概览
简要总结
This study aims to address the reliability and validity of the Empowerment for Participation (EFP) batch of assessments to measure Burnout risk in relation to the efficacy of online interventions to provide proactive rehabilitation using Cognitive Behavioral Therapy (CBT) and floating to achieve improved mental health and wellbeing.
详细描述
An Empirical design using raw EFP psychometric data to measure the effectiveness of online therapy to reduce the risk for Burnout between a control group and an online therapy group. The aim is to test whether or not there is a statistically significant difference in the effectiveness on online therapy to reduce the Risk for Burnout compared to that of a Control Group. Fifty participants were randomly selected. The rehabilitation and control Group consisted of twenty-five normally distributed employees (N25) each. The rehabilitation group received therapy, and the control had not yet received any form of therapy. SPSS was used to analyze the data collected, a Repeated Measure ANOVA, an ANCOVA, a Discriminant analysis, and a Construct Validity analysis were used to test for Reliability and Validity.
The group was randomly selected from a list of employees within the My-E-Health ecosystem. The group (N50) normally distributed group met all assumptions and consisted of a Control Group (N25) and a Therapy Group (N25). The post assessment value was used as the dependent variable.
The Burnout measure (30 questions) is obtained from the Empowerment for Participation (EFP) batch of assessments (110 questions). All assessments and CBT were done digitally online and floating was done at a designated location. The full EFP assessment is integrated into a digital ecosystem designed for this purpose and therapy. The online digital system is an integrity-based platform offering both the employee and caregiver a secure and encrypted ecosystem or secure data tunnel or channel between the therapists and patients.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- None
盲法说明
Randomly selected from an employer list
入排标准
- 年龄范围
- 22 Years 至 68 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Employees assessed on the EFP Burnout Scale as having:
- •a Moderate Risk of Burnout
- •a High Risk of Burnout
- •A Burned out Risk (Mental Health Exhaustion)
- •Employees with a current Bunrout diagnosis from a hospital, outpatient or psychiatric cllinic
- •A fully employed person with a member organization
- •No other inclusion criteria.
排除标准
- •Employees assessed on the EFP Burnout Scale as having:
- •No evidence of Burnout
- •Low Risk of Burnout.
- •Unemployed persons
- •No other exclusion critera was used.
结局指标
主要结局
To measure the difference between a pre- and post-assessment score for Burnout in a Control Group versus a Therapy Group.
时间窗: From admission to discharge, up to 3 months.
The Burnout measure (30 questions) is obtained from the Empowerment for Participation (EFP) batch of assessments using Visual Analog Scales (VAS) online. A straight line with a beginning and end point. As the slider moves from left to right, the text positioned at either end of the line increases as the opposite end decreases. The position where the slider stops is represented by a number from 0-20. The risk assessment scale (0-600) determines the level of intervention and preventive care. There are five risk levels of Burnout in relation to the total score following a lineal guide: 0-99 points (M=0-3.300) = No evidence of Burnout, 100-199 points (M=3.333-6.6333) = Low risk for Burnout, 200-299 points (M=6.6667-9.9667) = Moderate risk for Burnout, 300-399 points (M=10.00-13.300) = High risk for Burnout, and 400-600 points (M=13.3333-20) = Burnout. Patient content validation and score accuracy is required after each assessment.
次要结局
未报告次要终点