Assessment of the Feasibility of Using a Smartphone Application for the Prevention and Screening of Burnout (BURNOUT ADVICE)
Study Details
Study Description
Brief Summary
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Users users of the web-application |
Device: web-application for burnout
Use of burnout advisor web-application for detection of professional burnout
Other Names:
|
Outcome Measures
Primary Outcome Measures
- usefulness [6 months]
number of users who find the application useful
Secondary Outcome Measures
- alert [6 months]
Description of alerts triggered by algorithms
- Consultation [6 months]
Number of relevant consultations (or teleconsultations) after an alert
Eligibility Criteria
Criteria
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
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | ILC | Le Mans | France | 72000 |
Sponsors and Collaborators
- Weprom
- Kelindi
Investigators
- Study Director: Fabrice DENIS, Pr, ILC
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- WP-2021-01