AI-Augmented Motivational Interviewing for Chronic Disease

(AIM-PC Trial)

Recruiting at 1 trial location

Overseen By Mary Crane, MBA

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: Wright State University

Disqualifiers: Non-consent

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

150 Participants Needed

What You Need to Know Before You Apply

What is the purpose of this trial?

This study will examine the impact of training primary care providers (PCPs) in motivational interviewing (MI) using artificial intelligence (AI) to augment the training process. MI is a patient-centered approach to engaging patients in their own care. There will be a control group and two intervention groups, with the intervention groups receiving a different amount of MI training. The hypothesis is that the AI-augmented MI training will result in improved patient outcomes, improved clinician wellbeing, and reduced behavioral manifestation of clinician biases. This mixed-methods project will also collect qualitative data from structured interviews and focus groups with participating PCPs to examine perceived facilitators and barriers to the use of the MI approach in primary care.

Will I have to stop taking my current medications?

The trial information does not specify whether participants must stop taking their current medications.

Is AI-Augmented Motivational Interviewing safe for humans?

The research articles provided do not contain specific safety data for AI-Augmented Motivational Interviewing, so there is no relevant safety information available. ^{1 2 3 4 5}

How does AI-Augmented Motivational Interviewing differ from other treatments for chronic disease?

AI-Augmented Motivational Interviewing is unique because it uses artificial intelligence to enhance motivational interviewing, a technique that helps people find their own reasons for making health changes. Unlike traditional methods that rely on human counselors, this approach can use AI to analyze and respond to patient language, potentially making it more accessible and efficient. ^{1 2 4 6 7}

What data supports the effectiveness of the treatment AI-Augmented Motivational Interviewing Training for chronic disease?

Motivational interviewing (MI) has been shown to be effective in helping people change behaviors, such as quitting smoking or managing chronic diseases. Studies suggest that using AI to assist in MI, like through chatbots or natural language processing, can make the process more efficient and accessible, potentially improving outcomes by providing personalized support. ^{1 2 4 7 8}

Who Is on the Research Team?

Paul J Hershberger, PhD

Principal Investigator

Wright State University Boonshoft School of Medicine

Are You a Good Fit for This Trial?

This trial is for primary care providers (PCPs) interested in improving patient engagement and managing chronic diseases more effectively. It aims to train PCPs in motivational interviewing (MI) techniques augmented by artificial intelligence (AI). Providers with an interest in reducing implicit bias and burnout are ideal candidates.

Inclusion Criteria

Primary care providers (physicians, physician assistants, and nurse practitioners) employed in primary care practices of the Premier Physician Network of Premier Health (southwest Ohio) are eligible to participate.

Exclusion Criteria

Eligible PCPs who opt to not provide informed consent for participation will be excluded from the study.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Training

Primary care providers receive AI-augmented motivational interviewing training, including role-play practice and didactics sessions.

4-7 months

Multiple sessions (in-person and virtual)

Assessment

Participants complete surveys and role plays with standardized patients for motivational interviewing assessment at designated intervals.

Months 4-33

Periodic assessments

Follow-up

Participants are monitored for outcomes such as burnout, stress, and patient engagement.

Months 4-33

What Are the Treatments Tested in This Trial?

Interventions

• AI-Augmented Motivational Interviewing Training

Trial Overview The study tests the effectiveness of AI-augmented MI training on patient outcomes, clinician wellbeing, and reduction of biases. There's a control group receiving no special training, while two other groups receive varying levels of AI-enhanced MI training.

How Is the Trial Designed?

Group I: Control Group Active Control 1 Intervention

The control group (CG) will provide survey data and complete role plays with standardized patients for motivational interviewing (MI) assessment at designated project intervals. Premier Physician Network data for these primary care providers (PCPs) will also be obtained at these intervals.

Group II: BASIC AI-Augmented Motivational Interviewing Training Active Control 1 Intervention

The Basic intervention group will provide survey data and complete role plays with standardized patients for motivational interviewing (MI) assessment at designated project intervals. Premier Physician Network data for these primary care providers (PCPs) will also be obtained at these intervals. Basic PCPs will participate in a didactics session on MI, and subsequently complete two AI (artificial intelligence)-augmented MI training sessions that involve role-play practice of MI.

Group III: PLUS AI-Augmented Motivational Interviewing Training Active Control 1 Intervention

The Plus intervention group will provide survey data and complete role plays with standardized patients for motivational interviewing (MI) assessment at designated project intervals. Premier Physician Network data for these primary care providers (PCPs) will also be obtained at these intervals. Plus intervention group PCPs will participate in a didactics session on MI, and subsequently complete four AI (artificial intelligence)-augmented MI training sessions that involve role-play practice of MI.

Who Is Running the Clinical Trial?

Wright State University

Lead Sponsor

Trials

47

Recruited

55,300+

Premier Health

Collaborator

Trials

2

Recruited

170+

Published Research Related to This Trial

In a study involving HIV-infected patients who consumed heavy alcohol, the combination of brief motivational interviewing (MI) and HealthCall (an interactive voice response system) significantly reduced the number of drinks per day compared to a control group, showing the potential for enhanced intervention in this population.

While MI alone also showed some effectiveness, the MI+HealthCall group had the most substantial reduction in drinking, particularly among alcohol-dependent patients, suggesting that this approach could be a valuable tool in HIV primary care settings.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Reducing heavy drinking in HIV primary care: a randomized trial of brief intervention, with and without technological enhancement. Hasin, DS., Aharonovich, E., O'Leary, A., et al.[2021]

A 2-day virtual training program in motivational interviewing (MI) for 30 clinicians from Veterans Affairs medical centers was effective, with participants reporting high satisfaction and confidence in applying new skills to their practice.

The virtual format of the training removed barriers such as travel and cost, making it particularly beneficial for clinicians in rural areas, and participants indicated they were actively using MI techniques three months after the training.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Virtual Synchronous Motivational Interviewing Training for Geographically Dispersed Interprofessional Learners. Bryan, JL., Saxon, LC., Mesidor, MM., et al.[2023]

Citations

1. United States pubmed.ncbi.nlm.nih.gov

A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing. [2018]

2. Canada pubmed.ncbi.nlm.nih.gov

Experiences of a Motivational Interview Delivered by a Robot: Qualitative Study. [2019]

3. Canada pubmed.ncbi.nlm.nih.gov

A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study. [2023]

4. England pubmed.ncbi.nlm.nih.gov

Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies. [2023]

5. France pubmed.ncbi.nlm.nih.gov

[Motivational interviewing use for promoting health behavior: an approach of doctor/patient relationship]. [2022]

6. England pubmed.ncbi.nlm.nih.gov

Reducing heavy drinking in HIV primary care: a randomized trial of brief intervention, with and without technological enhancement. [2021]

7. United States pubmed.ncbi.nlm.nih.gov

Virtual Synchronous Motivational Interviewing Training for Geographically Dispersed Interprofessional Learners. [2023]

8. United States pubmed.ncbi.nlm.nih.gov

Multimodal Automatic Coding of Client Behavior in Motivational Interviewing. [2021]