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Titre : | A Digital Lifestyle Program for Psychological Distress, Wellbeing and Return-to-Work: A Proof-of-Concept Study (2023) |
Auteurs : | Jacinta Brinsley ; Ben Singh ; Carol A Maher |
Type de document : | Article |
Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 104, n° 11, 2023) |
Article en page(s) : | p. 1903-1912 |
Note générale : | https://doi.org/10.1016/j.apmr.2023.04.023 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Intelligence artificielle (IA) ; Intervention sur Internet ; Mode de vie sain ; Reprise du travail ; Santé mentale ; Télémédecine |
Résumé : | Objective To demonstrate proof-of-concept for a chatbot-led digital lifestyle medicine program in aiding rehabilitation for return-to-work. Design Retrospective cohort study with pre-post measures. Setting Community setting, Australia. Participants 78 adult participants (mean age 46 years, 32% female) with an active workers? compensation claim (N=78). Interventions A 6-week digital lifestyle medicine program led by an artificially intelligent virtual health coach and weekly telehealth calls with a health coach. Main Outcome Measures Adherence (% program completions) and engagement (% of daily and weekly sessions completed), changes in depression, anxiety and distress (K10), psychological wellbeing (WHO-5), return-to-work confidence and anxiety and change in work status. Results Sixty participants completed the program (72%), with improvements in psychological distress (P?.001, r=.47), depression (P<.001 r=".55)," anxiety and wellbeing were noted as well increased confidence about returning to work improved status remained unchanged. participants completed an average of daily virtual coach sessions telehealth coaching sessions. conclusions artificial intelligence technology may be able provide a practical supportive low-cost intervention improve psychosocial outcomes among individuals on active workers compensation claim. further controlled research is needed confirm these findings.> |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999323002952 |