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Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
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Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: A Randomized Comparative
John D Piette1,2,3, Sean Newman1,2, Sarah L Krein1,3
1Ann Arbor Department of Veterans Affairs (VA) Center for Clinical Management Research, Ann Arbor, Michigan.
JAMA Internal Medicine
|August 8, 2022
Summary
Artificial intelligence-powered cognitive behavioral therapy for chronic pain (AI-CBT-CP) is as effective as standard therapy but requires less therapist time. This AI-CBT-CP approach can improve patient access to effective chronic pain management.
Area of Science:
- Digital Health and Artificial Intelligence in Medicine
- Behavioral Medicine and Chronic Pain Management
Background:
- Cognitive behavioral therapy for chronic pain (CBT-CP) is a proven, non-opioid treatment for chronic pain.
- Limited therapist availability and treatment duration hinder patient access and completion rates for standard CBT-CP.
- Personalized treatment approaches are needed to optimize CBT-CP delivery and patient outcomes.
Purpose of the Study:
- To evaluate the noninferiority of an AI-CBT-CP program compared to standard telephone CBT-CP.
- To determine if AI-CBT-CP can reduce therapist time requirements.
- To assess the effectiveness of AI-CBT-CP in improving patient-reported outcomes for chronic back pain.
Main Methods:
- A randomized noninferiority trial involving 278 patients with chronic back pain.
- AI-CBT-CP group utilized AI and interactive voice response (IVR) for personalized treatment recommendations.
- Standard CBT-CP group received 10 weeks of traditional therapist-delivered telephone sessions.
Main Results:
- AI-CBT-CP met noninferiority criteria for the Roland Morris Disability Questionnaire (RMDQ) at 3 and 6 months.
- A significantly greater proportion of patients in the AI-CBT-CP group showed clinically meaningful improvements in RMDQ and pain intensity at 6 months.
- AI-CBT-CP required less than half the therapist time compared to standard CBT-CP.
Conclusions:
- AI-CBT-CP is a noninferior and more time-efficient alternative to standard telephone CBT-CP for chronic pain.
- This AI-driven approach has the potential to significantly expand the reach and effectiveness of CBT-CP programs.
- AI-CBT-CP offers a scalable solution to address therapist shortages and improve patient access to chronic pain management.
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