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.

Inclusion Criteria:

• Person aged 18 to 64
• Exercising a professional activity
• User informed of the use of this data and not objecting to it

Exclusion Criteria:

• Professionals on sick leave

The population will include the first 200 users of the application who did not object to the use of their data for this assessment.