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Assessment of the Feasibility of Using a Smartphone Application for the Prevention and Screening of Burnout (BURNOUT ADVICE)

Assessment of the Feasibility of Using a Smartphone Application for the Prevention and Screening of Burnout

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05011435
Acronym
BURNOUT ADVICE
Enrollment
200
Registered
2021-08-18
Start date
2021-09-15
Completion date
2022-09-30
Last updated
2021-11-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Burnout, Professional

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.

Interventions

DEVICEweb-application for burnout

Use of burnout advisor web-application for detection of professional burnout

Sponsors

Kelindi
CollaboratorINDUSTRY
Weprom
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 64 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
usefulness6 monthsnumber of users who find the application useful

Secondary

MeasureTime frameDescription
alert6 monthsDescription of alerts triggered by algorithms
Consultation6 monthsNumber of relevant consultations (or teleconsultations) after an alert

Countries

France

Contacts

Primary ContactMagali BALAVOINE
m.balavoine@ilcgroupe.fr241682940

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026