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An artificial intel...
An artificial intelligence-powered, patient-centric digital tool for self-management of chronic pain : a prospective, multicenter clinical trial
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- Barreveld, Antje M. (författare)
- Tufts University School of Medicine
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- 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
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- Cheung, Sophia (författare)
- Newton-Wellesley Hospital
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- Axelsson, Ulrika (författare)
- PainDrainer AB
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- Basem, Jade I. (författare)
- Weill Cornell Medical College
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- Reddy, Anika S. (författare)
- Weill Cornell Medical College
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- 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
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- Mehta, Neel (författare)
- Weill Cornell Medical College
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(creator_code:org_t)
- 2023
- 2023
- Engelska 11 s.
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Ingår i: Pain Medicine (United States). - 1526-2375. ; 24:9, s. 1100-1110
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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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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