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

Antje M. Barreveld, Maria L. Rosén Klement, Sophia Cheung, Ulrika Axelsson, Jade I. Basem, Anika S. Reddy, Carl A.K. Borrebaeck, Neel Mehta

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1100-1110
Number of pages11
JournalPain Medicine (United States)
Volume24
Issue number9
DOIs
Publication statusPublished - 2023 Sept 1

Subject classification (UKÄ)

  • Other Health Sciences
  • Other Medical Sciences not elsewhere specified

Free keywords

  • ACT
  • chronic pain
  • digital tool
  • patient-centric
  • self-management

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