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Sökning: WFRF:(Rosen I.) > (2020-2023) > An artificial intel...

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

Barreveld, Antje M. (författare)
Tufts University School of Medicine
Rosén Klement, Maria L. (författare)
Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH,LUCC: Lund University Cancer Centre,Other Strong Research Environments,PainDrainer AB
Cheung, Sophia (författare)
Newton-Wellesley Hospital
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Axelsson, Ulrika (författare)
PainDrainer AB
Basem, Jade I. (författare)
Weill Cornell Medical College
Reddy, Anika S. (författare)
Weill Cornell Medical College
Borrebaeck, Carl A.K. (författare)
Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH,LUCC: Lund University Cancer Centre,Other Strong Research Environments,PainDrainer AB
Mehta, Neel (författare)
Weill Cornell Medical College
visa färre...
 (creator_code:org_t)
2023
2023
Engelska 11 s.
Ingår i: Pain Medicine (United States). - 1526-2375. ; 24:9, s. 1100-1110
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Annan hälsovetenskap (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Other Health Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Annan medicin och hälsovetenskap -- Övrig annan medicin och hälsovetenskap (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Other Medical and Health Sciences -- Other Medical and Health Sciences not elsewhere specified (hsv//eng)

Nyckelord

ACT
chronic pain
digital tool
patient-centric
self-management

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

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