دورية أكاديمية

An artificial intelligence-powered, patient-centric digital tool for self-management of chronic pain: a prospective, multicenter clinical trial.

التفاصيل البيبلوغرافية
العنوان: An artificial intelligence-powered, patient-centric digital tool for self-management of chronic pain: a prospective, multicenter clinical trial.
المؤلفون: Barreveld, Antje M, Klement, Maria L Rosén, Cheung, Sophia, Axelsson, Ulrika, Basem, Jade I, Reddy, Anika S, Borrebaeck, Carl A K, Mehta, Neel
المصدر: Pain Medicine; Sep2023, Vol. 24 Issue 9, p1100-1110, 11p
مصطلحات موضوعية: CHRONIC pain treatment, TREATMENT of backaches, NECK pain treatment, RESEARCH, CLINICAL trials, PAIN measurement, MOBILE apps, FUNCTIONAL status, ARTIFICIAL intelligence, TREATMENT effectiveness, MENTAL depression, QUESTIONNAIRES, RESEARCH funding, ANXIETY, PAIN catastrophizing, HEALTH self-care, LONGITUDINAL method, PAIN management, EVALUATION, ADULTS
مصطلحات جغرافية: NEW York (State), MASSACHUSETTS
مستخلص: Objective To investigate how a behavioral health, artificial intelligence (AI)-powered, digital self-management tool affects the daily functions in adults with chronic back and neck pain. Design Eligible subjects were enrolled in a 12-week prospective, multicenter, single-arm, open-label study and instructed to use the digital coach daily. Primary outcome was a change in Patient-Reported Outcomes Measurement Information Systems (PROMIS) scores for pain interference. Secondary outcomes were changes in PROMIS physical function, anxiety, depression, pain intensity scores and pain catastrophizing scale (PCS) scores. Methods Subjects logged daily activities, using PainDrainerTM, and data analyzed by the AI engine. Questionnaire and web-based data were collected at 6 and 12 weeks and compared to subjects' baseline. Results Subjects completed the 6- (n = 41) and 12-week (n = 34) questionnaires. A statistically significant Minimal Important Difference (MID) for pain interference was demonstrated in 57.5% of the subjects. Similarly, MID for physical function was demonstrated in 72.5% of the subjects. A pre- to post-intervention improvement in depression score was also statistically significant, observed in 100% of subjects, as was the improvement in anxiety scores, evident in 81.3% of the subjects. PCS mean scores was also significantly decreased at 12 weeks. Conclusion Chronic pain self-management, using an AI-powered, digital coach anchored in behavioral health principles significantly improved subjects' pain interference, physical function, depression, anxiety, and pain catastrophizing over the 12-week study period. [ABSTRACT FROM AUTHOR]
Copyright of Pain Medicine is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:15262375
DOI:10.1093/pm/pnad049