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Burnout syndrome has been recognized as a mental illness since 2020. All workers can be affected. The consequences are multiple and often serious, ranging from stoppage of work to depression or even suicide. According to a 2019 survey by Malakoff, 56% of employees are in "professional or personal fragility", but the statistics are incomplete.
In the medical community, the burnout rate is doubled compared to the general population.
The diagnosis of pre-burnout can precede a burnout by several months, an early treatment can then reduce complications and improve the quality of life at work.
On a study model on health data already carried out as part of a cancer detection application in smokers which involved 7000 users and which showed the ability to of such an application to detect curable symptomatic cancers from questionnaires (24% with application against 9% without application), we will carry out a descriptive evaluation of the use of an application to detect pre-burnout, burnout and depressive syndrome in a worker population. In the event of a risk alert of pre-burnout, burnout or depressive syndrome, the application will display a message to the user suggesting that he consult his general practitioner or put him in contact with a doctor through a teleconsultation via a dedicated platform.
This first study will assess the feasibility and acceptability of an early detection approach among professionals of a state of "fragility" (pre-burnout, burnout or depressive syndrome). Subsequently, a larger study will evaluate the effectiveness of this application for the early detection of burnout among professionals, its management and the reduction of costs for the healthcare system and society.
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200 participants in 1 patient group
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Magali BALAVOINE
Data sourced from clinicaltrials.gov
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