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Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools

NCT02464449 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 278

Last updated 2023-07-27

Study results available
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Summary

This study will evaluate a new approach for back pain care management using artificial intelligence and evidence-based cognitive behavioral therapy (AI-CBT) so that services automatically adapt to each Veteran's unique needs, achieving outcomes as good as standard care but with less clinician time.

Conditions

Interventions

BEHAVIORAL

Behavioral: AI-CBT

AI CBT engine will make recommendations to step-down or step-up intensity of CBT follow-up based on what patient reports and what other similar patients report. Stepped care model.

BEHAVIORAL

Behavioral: Standard Telephone CBT

Controls receive 10 hour-long standard telephone CBT sessions, a pedometer/log after baseline, and a Patient Handbook.

Sponsors & Collaborators

  • VA Office of Research and Development

    lead FED

Principal Investigators

  • John D. Piette, PhD · VA Ann Arbor Healthcare System, Ann Arbor, MI

  • Alicia A. Heapy, PhD · VA Connecticut Healthcare System West Haven Campus, West Haven, CT

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-07-24
Primary Completion
2020-04-30
Completion
2020-04-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02464449 on ClinicalTrials.gov