Résumés
Résumé
Bien que les nouvelles technologies et l’intelligence artificielle promettent d’améliorer les soins en santé mentale, peu d’applications validées scientifiquement sont disponibles, particulièrement en français. Pour répondre à ce besoin, le Centre de recherche de l’Institut universitaire en santé mentale de Montréal a fondé le Centre Axel pour accélérer la stratégie en santé numérique et pour faciliter l’innovation technologique pour la recherche et les soins en santé mentale. Ainsi, le Centre Axel s’adresse à un écosystème tripartite composé de la recherche, de la clinique et de l’entrepreneuriat. L’objectif de cet article est d’introduire un exemple d’application développée en collaboration avec le Centre Axel et de présenter comment le Centre peut répondre aux besoins des équipes de recherche. Cet exemple d’application est Tadeus, une application web bilingue qui permet aux spécialistes en santé mentale et à leurs partenaires (p. ex. proches, personnes intervenantes, personnes recevant des services) d’entrer et de partager des données afin d’effectuer un suivi plus rigoureux des interventions en santé mentale. En plus de présenter l’application, l’article discute des défis que peuvent présenter le développement, la pérennisation et la diffusion de telles applications ainsi que sur la manière dont le Centre Axel peut supporter les équipes de recherche pour surmonter ces derniers.
Mots-clés :
- intelligence artificielle,
- protocoles à cas unique,
- suivi des interventions,
- technologie
Abstract
Although new technologies and artificial intelligence promise to improve mental health care, few scientifically validated applications are available, particularly in French. To address this issue, Centre de recherche de l’Institut universitaire en santé mentale de Montréal founded the Axel Center to accelerate the digital health strategy and to facilitate technological innovation for mental health research and care. The Axel Center thus addresses a tripartite ecosystem composed of research, clinical practice, and entrepreneurship. The purpose of this article is to introduce an example of an application developed in collaboration with the Axel Center and to present how the center can meet the needs of research teams. This example is Tadeus, a bilingual web application that allows mental health specialists and their partners (e.g. family members, caregivers, service recipients) to enter and share data to more rigorously monitor mental health interventions. In addition to presenting the application, the article discusses the challenges that can arise in the development, sustainability and dissemination of such applications, as well as how the Axel Centre can support research teams in overcoming these challenges.
Keywords:
- artificial intelligence,
- single-case designs,
- intervention monitoring,
- technology
Parties annexes
Bibliographie
- Brown, C. L., Peltier, C., Smarinsky, E. C., Lewis, O. J. et Lee, D. Y. (2024). A review of counseling research using single‐case research design. Journal of Counseling & Development, 102(3), 334-349. https://doi.org/10.1002/jcad.12517
- Camacho, E., Cohen, A. et Torous, J. (2022). Assessment of mental health services available through smartphone apps. JAMA Network Open, 5(12), e2248784. https://doi.org/10.1001/jamanetworkopen.2022.48784
- Ekelund, R., Holmström, S. et Stenling, A. (2025). Feasibility of ecological momentary assessment during cognitive behavioural therapy in athletes : a single-case study. International Journal of Sport and Exercise Psychology. Publication en ligne accélérée. https://doi.org/10.1080/1612197X.2025.2563323
- Fisher, W. W., Kelley, M. E. et Lomas, J. E. (2003). Visual aids and structured criteria for improving visual inspection and interpretation of single‐case designs. Journal of Applied Behavior Analysis, 36(3), 387-406. https://doi.org/10.1901/jaba.2003.36-387
- Gambrill, E. D. et Barth, R. P. (1980). Single-case study designs revisited. Social Work Research and Abstract, 16(3), 15-20. https://doi.org/10.1093/swra/16.3.15
- Hayes, S. C. (1981). Single case experimental design and empirical clinical practice. Journal of Consulting and Clinical Psychology, 49, 193-211. https://doi.org/10.1037/0022-006X.49.2.193
- Kazdin, A. E. (1983). Single-case research designs in clinical child psychiatry. Journal of the American Academy of Child Psychiatry, 22, 423-432. https://doi.org/10.1016/S0002-7138(09)61503-X
- Kazdin, A. E. (2019). Single-case experimental designs. Evaluating interventions in research and clinical practice. Behaviour Research and Therapy, 117, 3-17.
- Kazdin, A. E. (2020). Single-case research designs : Methods for clinical and applied settings (3e éd.). Oxford University Press.
- Krueger, T. K., Rapp, J. T., Ott, L. M., Lood, E. A. et Novotny, M. A. (2013). Detecting false positives in AB designs : Potential implications for practitioners. Behavior Modification, 37(5), 615-630. https://doi.org/10.1177/0145445512468754
- Lanovaz, M. J., Giannakakos, A. R. et Destras, O. (2020). Machine learning to analyze single-case data : A proof of concept. Perspectives on Behavior Science, 43(1), 21-38.. https://doi.org/10.1007/s40614-020-00244-0
- Lanovaz, M. J. et Hranchuk, K. (2021). Machine learning to analyze single‐case graphs : A comparison to visual inspection. Journal of Applied Behavior Analysis, 54(4), 1541-1552. https://doi.org/10.1002/jaba.863
- Lanovaz, M. J., Turgeon, S., Cardinal, P. et Wheatley, T. L. (2019). Using single-case designs in practical settings : Is within-subject replication always necessary ?. Perspectives on Behavior Science, 42(1), 153-162. https://doi.org/10.1007/s40614-018-0138-9
- Löchner, J., Carlbring, P., Schuller, B., Torous, J. et Sander, L. B. (2025). Digital interventions in mental health : an overview and future perspectives. Internet Interventions, 40, 100 824. https://doi.org/10.1016/j.invent.2025.100824
- Matsuura, Y. et Ochi, G. (2023). The potential of heart rate variability monitoring for mental health assessment in top wheel gymnastics athletes : a single case design. Applied Psychophysiology and Biofeedback, 48(3), 335-343. https://doi.org/10.1007/s10484-023-09585-3
- Ninci, J., Vannest, K. J., Willson, V. et Zhang, N. (2015). Interrater agreement between visual analysts of single-case data : A meta-analysis. Behavior Modification, 39(4), 510-541. https://doi.org/10.1177/0145445515581327
- Piot, M., Mestdagh, M., Riese, H., Weermeijer, J., Brouwer, J. M., Kuppens, P., Dejonckheere, E. et Bos, F. M. (2022). Practitioner and researcher perspectives on the utility of ecological momentary assessment in mental health care : A survey study. Internet Interventions, 30, 100575. https://doi.org/10.1016/j.invent.2022.100575
- Pustejovsky, J. E. (2019). Procedural sensitivities of effect sizes for single-case designs with directly observed behavioral outcome measures. Psychological Methods, 24(2), 217-235. https://doi.org/10.1037/met0000179
- Tate, R. L., Aird, V. et Taylor, C. (2012). Bringing single-case methodology into the clinic to enhance evidence-based practices. Brain Impairment, 13(3), 347-359. https://doi.org/10.1017/BrImp.2012.32
- Wolfe, K. et Seaman, M. A. (2023). The influence of data characteristics on interrater agreement among visual analysts. Journal of Applied Behavior Analysis, 56(2), 365-376. https://doi.org/10.1002/jaba.980