Ignite Creation Date:
2025-12-24 @ 10:35 PM
Ignite Modification Date:
2026-01-01 @ 10:30 PM
Study NCT ID:
NCT05011435
Status:
UNKNOWN
Last Update Posted:
2021-11-03
First Post:
2021-08-11
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Assessment of the Feasibility of Using a Smartphone Application for the Prevention and Screening of Burnout (BURNOUT ADVICE)
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D002055', 'term': 'Burnout, Professional'}], 'ancestors': [{'id': 'D000073397', 'term': 'Occupational Stress'}, {'id': 'D009784', 'term': 'Occupational Diseases'}, {'id': 'D000077062', 'term': 'Burnout, Psychological'}, {'id': 'D013315', 'term': 'Stress, Psychological'}, {'id': 'D001526', 'term': 'Behavioral Symptoms'}, {'id': 'D001519', 'term': 'Behavior'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 200}, 'targetDuration': '6 Months', 'patientRegistry': True}, 'statusModule': {'overallStatus': 'UNKNOWN', 'lastKnownStatus': 'RECRUITING', 'startDateStruct': {'date': '2021-09-15', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2021-08', 'completionDateStruct': {'date': '2022-09', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2021-11-02', 'studyFirstSubmitDate': '2021-08-11', 'studyFirstSubmitQcDate': '2021-08-11', 'lastUpdatePostDateStruct': {'date': '2021-11-03', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2021-08-18', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2022-09', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'usefulness', 'timeFrame': '6 months', 'description': 'number of users who find the application useful'}], 'secondaryOutcomes': [{'measure': 'alert', 'timeFrame': '6 months', 'description': 'Description of alerts triggered by algorithms'}, {'measure': 'Consultation', 'timeFrame': '6 months', 'description': 'Number of relevant consultations (or teleconsultations) after an alert'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Burnout, Professional']}, 'descriptionModule': {'briefSummary': '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.\n\nIn the medical community, the burnout rate is doubled compared to the general population.\n\nThe 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.\n\nOn 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.\n\nThis 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.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT'], 'maximumAge': '64 Years', 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'The population will include the first 200 users of the application who did not object to the use of their data for this assessment.', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Person aged 18 to 64\n* Exercising a professional activity\n* User informed of the use of this data and not objecting to it\n\nExclusion Criteria:\n\n* Professionals on sick leave'}, 'identificationModule': {'nctId': 'NCT05011435', 'acronym': 'BURNOUT ADVICE', 'briefTitle': 'Assessment of the Feasibility of Using a Smartphone Application for the Prevention and Screening of Burnout (BURNOUT ADVICE)', 'organization': {'class': 'OTHER', 'fullName': 'Weprom'}, 'officialTitle': 'Assessment of the Feasibility of Using a Smartphone Application for the Prevention and Screening of Burnout', 'orgStudyIdInfo': {'id': 'WP-2021-01'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Users', 'description': 'users of the web-application', 'interventionNames': ['Device: web-application for burnout']}], 'interventions': [{'name': 'web-application for burnout', 'type': 'DEVICE', 'otherNames': ['Burnout Advisor'], 'description': 'Use of burnout advisor web-application for detection of professional burnout', 'armGroupLabels': ['Users']}]}, 'contactsLocationsModule': {'locations': [{'zip': '72000', 'city': 'Le Mans', 'status': 'RECRUITING', 'country': 'France', 'contacts': [{'name': 'Fabrice DENIS, Pr', 'role': 'CONTACT', 'email': 'f.denis@ilcgroupe.fr'}, {'name': 'Fabrice DENIS, P', 'role': 'PRINCIPAL_INVESTIGATOR'}], 'facility': 'ILC', 'geoPoint': {'lat': 48.0021, 'lon': 0.20251}}], 'centralContacts': [{'name': 'Magali BALAVOINE', 'role': 'CONTACT', 'email': 'm.balavoine@ilcgroupe.fr', 'phone': '241682940', 'phoneExt': '0033'}], 'overallOfficials': [{'name': 'Fabrice DENIS, Pr', 'role': 'STUDY_DIRECTOR', 'affiliation': 'ILC'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Weprom', 'class': 'OTHER'}, 'collaborators': [{'name': 'Kelindi', 'class': 'INDUSTRY'}], 'responsibleParty': {'type': 'SPONSOR'}}}}