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Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: A Randomized Comparative Effectiveness Trial.

Author: ButaEugenia, ChenJenny, DriscollMary, EdmondSara N, FarrisKaren B, HeapyAlicia A, HigginsDiana M, KernsRobert D, KimH Myra, KreinSarah L, LaChappelleKathryn M, MalyMarianna, MarinecNicolle, NewmanSean, PietteJohn D, WilliamsDavid A

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Randomized Controlled TrialA clinical trial that randomly assigns participants to treatment and control groups to evaluate the effects of an intervention.
Research Support, U.S. Gov't, Non-P.H.S.Research funding provided by US government agencies other than the Public Health Service.

Overview

An AI-powered CBT-CP program was noninferior to therapist-delivered telephone CBT-CP for chronic back pain and required significantly less therapist time. This approach could improve access to CBT-CP for more patients.
Paper Details　
Original Abstract of the Article :
IMPORTANCE: Cognitive behavioral therapy for chronic pain (CBT-CP) is a safe and effective alternative to opioid analgesics. Because CBT-CP requires multiple sessions and therapists are scarce, many patients have limited access or fail to complete treatment. OBJECTIVES: To determine if a CBT-CP pro...See full text at original site
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引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361183/

データ提供：米国国立医学図書館（NLM）

AI-Powered CBT for Chronic Pain: A New Oasis in Pain Management

Chronic pain is a significant public health issue, with many patients struggling to find effective and accessible treatment. Cognitive behavioral therapy for chronic pain (CBT-CP) is a promising alternative to opioid analgesics, but traditional CBT-CP requires multiple therapist-led sessions, limiting its availability and completion rates. This study explores the potential of an AI-powered CBT-CP program to personalize patient treatment and improve access to this effective therapy. The researchers designed a randomized controlled trial comparing an AI-powered CBT-CP program with standard telephone-based CBT-CP. The AI-powered program used reinforcement learning to tailor treatment recommendations based on patient feedback gathered through daily interactive voice response (IVR) calls.

A New Era in Pain Management

The study found that the AI-powered CBT-CP program was noninferior to standard telephone-based CBT-CP in reducing pain and disability. Moreover, the AI-powered program required significantly less therapist time, making it a potentially cost-effective and scalable solution for delivering CBT-CP to a larger number of patients.

The Future of Pain Management

The study's findings suggest that AI-powered CBT-CP could revolutionize chronic pain management, providing a more accessible and personalized approach to treatment. The research highlights the potential of AI and mobile health tools in delivering effective and scalable mental health interventions.

Dr.Camel's Conclusion

This research demonstrates the promise of AI-powered cognitive behavioral therapy for chronic pain, offering a more accessible and personalized approach to treatment. The study's findings highlight the potential of AI and mobile health tools in improving the delivery of mental health interventions, making these valuable resources more readily available to those who need them. The AI-powered CBT-CP program shows promise in addressing the challenges of chronic pain management, offering a new oasis in the desert of pain.

Date :
  1. Date Completed 2022-09-08
  2. Date Revised 2023-08-09
Further Info :

Pubmed ID

35939288

DOI: Digital Object Identifier

PMC9361183

Related Literature

Article Analysis
・Effective treatment of chronic pain
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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