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

NCT ID: NCT05011435

Last Updated: 2021-11-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-09-15

Study Completion Date

2022-09-30

Brief Summary

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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.

Detailed Description

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Conditions

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Burnout, Professional

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Users

users of the web-application

web-application for burnout

Intervention Type DEVICE

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

Interventions

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web-application for burnout

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

Intervention Type DEVICE

Other Intervention Names

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Burnout Advisor

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Maximum Eligible Age

64 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Kelindi

INDUSTRY

Sponsor Role collaborator

Weprom

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Fabrice DENIS, Pr

Role: STUDY_DIRECTOR

ILC

Locations

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ILC

Le Mans, , France

Site Status RECRUITING

Countries

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France

Central Contacts

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Magali BALAVOINE

Role: CONTACT

Phone: 241682940

Email: [email protected]

Facility Contacts

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Fabrice DENIS, Pr

Role: primary

Other Identifiers

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WP-2021-01

Identifier Type: -

Identifier Source: org_study_id