The goal of this observational study is to develop and validate a digital ecosystem designed to assess and manage mental health in workplace environments. The primary purpose is to understand how digital tools can contribute to better mental health management and to gauge their effectiveness in a typical work setting. The study also aims to enhance the prediction of mental health outcomes and the course of mental health conditions through more accurate assessments. The main questions it aims to answer are: 1. How do digital assessments improve the detection and management of mental health issues like depression and anxiety in the workplace? 2. Can a digital ecosystem effectively reduce the overall cost and impact of mental health issues on productivity and employee well-being? 3. How effective are bifactor models in detecting and mitigating the impact of faking in self-reported mental health assessments in occupational settings? Participants will: 1. Engage with the Metrikamind platform to complete periodic mental health assessments. 2. Provide feedback on their experience and any changes in their mental health status, with particular attention to the accuracy and honesty of self-reported data facilitated by the implementation of bifactor models. 3. Participate in follow-up surveys to gauge long-term effects of using the digital tools on their mental health and workplace productivity. This study involves adult participants currently employed in various sectors undergoing a sick leave, who will use the Metrikamind platform over a six-month period. The research aims to collect data on the usability and effectiveness of the platform, analyzing changes in participants\' mental health through their interaction with the digital tools provided. By incorporating advanced psychometric techniques like bifactor models, the study seeks to enhance the reliability of data and improve the prediction of mental health outcomes, providing a solid foundation for potential wider application in corporate health strategies.
Age range
18 Years – 70 Years
Sex
ALL
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A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Battery of Psychological Assessment (PHQ9)
Timeframe: Six Months
Battery of Psychological Assessment (HADSA)
Timeframe: Six Months
Battery of Psychological Assessment (PROMIS)
Timeframe: Six Months
Battery of Psychological Assessment (CESD-R)
Timeframe: Six Months
Battery of Psychological Assessment (SAS)
Timeframe: Six Months
Battery of Psychological Assessment (GAD7)
Timeframe: Six Months
David Gallardo-Pujol, PhD in Clinical Psychology