Evaluating the Validity and Acceptability of a Fully-automated Interview to Diagnose Insomnia Disorder: a Pilot Study
Study Details
Study Description
Brief Summary
Objective: to evaluate if a fully-automated diagnostic interview for insomnia disorder is suitable for clinical and research purposes (adequate sensitivity and specificity) and is acceptable to patients.
Study main outcomes:
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Concurrent validity (sensitivity and specificity) compared to a gold standard. Gold standard: clinical diagnosis of a clinician using a validated structured clinical interview for the DSM 5 criteria of insomnia disorder
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Acceptability of the fully-automated interview (include the name of the instrument to evaluate acceptability)
Participants:
Volunteers to undergo the clinical and the automated interview will be recruited through non-probability convenience sampling from patients attending the sleep clinic at Bordeaux University Hospital between May 2023 and July 2023.
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Study Design
Outcome Measures
Primary Outcome Measures
- Concurrent validity (sensitivity and specificity) [May-July 2023]
Calculated with a gold standard evaluation consisting of the clinical diagnosis of a clinician using a validated structured clinical interview for the DSM 5 criteria of insomnia disorder
Secondary Outcome Measures
- Acceptability of the fully-automated interview [May-July 2023]
This outcome will be assessed with a validated questionnaire
Eligibility Criteria
Criteria
Inclusion Criteria:
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Aged 18 years or older
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Being able to communicate and read in French
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Previous use a mobile phone
Exclusion Criteria:
- N/A
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- University of Bordeaux
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- Auriacombe M, Fournet L, Dupuy L, Micoulaud-Franchi JA, de Sevin E, Moriceau S, Baillet E, Alexandre JM, Serre F, Philip P. Effectiveness and Acceptance of a Smartphone-Based Virtual Agent Screening for Alcohol and Tobacco Problems and Associated Risk Factors During COVID-19 Pandemic in the General Population. Front Psychiatry. 2021 Jul 16;12:693687. doi: 10.3389/fpsyt.2021.693687. eCollection 2021.
- Dupuy L, Morin CM, de Sevin E, Taillard J, Salles N, Bioulac S, Auriacombe M, Micoulaud-Franchi JA, Philip P. Smartphone-based virtual agents and insomnia management: A proof-of-concept study for new methods of autonomous screening and management of insomnia symptoms in the general population. J Sleep Res. 2022 Apr;31(2):e13489. doi: 10.1111/jsr.13489. Epub 2021 Sep 18.
- Philip P, Dupuy L, Morin CM, de Sevin E, Bioulac S, Taillard J, Serre F, Auriacombe M, Micoulaud-Franchi JA. Smartphone-Based Virtual Agents to Help Individuals With Sleep Concerns During COVID-19 Confinement: Feasibility Study. J Med Internet Res. 2020 Dec 18;22(12):e24268. doi: 10.2196/24268.
- Philip P, Dupuy L, Sagaspe P, de Sevin E, Auriacombe M, Taillard J, Micoulaud-Franchi JA, Morin CM. Efficacy of a Smartphone-Based Virtual Companion to Treat Insomniac Complaints in the General Population: Sleep Diary Monitoring Versus an Internet Autonomous Intervention. J Clin Med. 2022 Jul 28;11(15):4387. doi: 10.3390/jcm11154387.
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