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.
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.