Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With...

Area of Science:

• Digital Health
• Musculoskeletal Disorders
• Artificial Intelligence in Healthcare

Background:

• Spinal pain is a prevalent musculoskeletal disorder impacting quality of life.
• Adherence to exercise programs for spinal pain management remains a significant challenge.
• AI-driven applications offer a novel approach to guide and support patients with musculoskeletal disorders.

Purpose of the Study:

• To evaluate the efficacy of an 8-week AI-composed exercise program on pain intensity and well-being in spinal pain patients.
• To examine the correlation between exercise frequency, pain intensity, and well-being.
• To assess app usage frequency as a measure of patient engagement.

Main Methods:

• Retrospective data collection from the medicalmotion app (January 2020 - June 2023).
• Intervention involved a personalized exercise program delivered via the app (3-5 exercises per session).
• Primary outcomes: pain intensity (Numeric Rating Scale) and well-being (Likert scale) at baseline, 4, and 8 weeks. Secondary outcomes: correlation analysis and app engagement metrics.

Main Results:

• Significant reduction in pain intensity (1.78 points on NRS, P<.001) and improvement in well-being (3.11 points on Likert scale) after 8 weeks.
• Negative correlation between daily exercise frequency and pain intensity at 4 and 8 weeks.
• App engagement: average 3.58 exercises/day, 10-minute sessions, 49.2% usage over 56 days.

Conclusions:

• App-based interventions can significantly decrease pain intensity and enhance well-being in spinal pain patients.
• Digitizing multidisciplinary rehabilitation through apps supports self-management of spinal pain.
• AI-driven exercise programs show potential for improving adherence and outcomes in musculoskeletal disorder management.