ClinicalTrials.gg
Not yet recruitingNCT06597123AIM-PCUpdated Sep 19, 2024

AI-Augmented Motivational Interviewing Training for Primary Care

An interventional study of Basic AI (artificial intelligence)-Augmented Motivational Interviewing Training and Plus AI (artificial intelligence)-Augmented Motivational Interviewing Training in Multiple Chronic Conditions, Patient Engagement and Burnout, Professional, sponsored by Wright State University. Not yet recruiting at 2 sites in United States. Open to participants aged 21 Years and older. Per ClinicalTrials.gov, last updated 2024-09-19.

Sponsored by Wright State University · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
150
Allocation
Randomized
Ages
21 Years and older
Sex
All
01

Study summary

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.

Read the detailed description

Motivational interviewing (MI) is an evidence-based patient-centered approach that has been demonstrated to be effective in increasing patient engagement in their own care. Using MI, a clinician is compassionate curious to understand patients\' perspective on their behavior, and conversationally guides them to discover a need for behavior change. However, MI is not widely utilized in primary care practices and challenging to teach, in part because many primary care providers (PCPs) take a direct approach with their patients by educating and advising them regarding steps to improve their health. However, simply telling patient what to do tends to be ineffective, leading to frustration on the part of both patients and PCPs.

To help implement the MI approach more widely, our team has developed an artificial intelligence (AI) augmented tool for MI skill development, ReadMI™ (Real-time Assessment of Dialogue in Motivational Interviewing). The goal of this project is to: 1) examine the association of AI-measured proficiency in MI to patient outcomes, PCP wellbeing, and PCP manifestations of bias, and 2) to determine the extent to which AI-augmented MI skills training can impact the same outcome, wellbeing, and bias manifestation variables in a randomized controlled trial (RCT). This mixed-methods project will also employ structured interviews and focus groups of participating PCPs to collect qualitative data for better understanding both facilitators and barriers to the implementation of MI in primary care.

The overall hypothesis is that PCPs with the strongest MI proficiencies will have patients with better outcomes, and that those PCPs will also demonstrate less burnout and less manifestation of bias. Additionally, it is hypothesized that making use of AI in MI training will be seen by PCPs as a facilitator to the use of MI in their practices.

02

Conditions studied

  • Multiple Chronic Conditions
  • Patient Engagement
  • Burnout, Professional
  • Motivational Interviewing
  • Implicit Bias

Keywords

  • Motivational Interviewing
  • Artificial Intelligence
  • Multiple Chronic Conditions
  • Clinician Wellbeing
  • Biases
  • Patient Engagement
03

In context

Multiple Chronic Conditions

89 studies on the registry are indexed under Multiple Chronic Conditions; 16 are open to participants now.

This study's planned enrollment of 150 is above the median of 128 across 71 interventional studies indexed under Multiple Chronic Conditions.

Browse Multiple Chronic Conditions studies →

Lead sponsor

Wright State University is the lead sponsor of 39 studies on the registry; 13 are open to participants now.

Of its 7 completed or terminated interventional studies of FDA-regulated products, 5 (71%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
21 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

Exclusion Criteria:

  • Eligible PCPs who opt to not provide for participation will be excluded from the study.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
150 participants (estimated)

Study arms

  • No intervention
    Control Group

    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.

  • Active comparator
    BASIC AI-Augmented Motivational Interviewing Training

    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.

    Behavioral: Basic AI (artificial intelligence)-Augmented Motivational Interviewing Training

  • Active comparator
    PLUS AI-Augmented Motivational Interviewing Training

    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.

    Behavioral: Plus AI (artificial intelligence)-Augmented Motivational Interviewing Training

Interventions

  • BehavioralBasic AI (artificial intelligence)-Augmented Motivational Interviewing Training

    Basic participants will participate in two motivational interviewing (MI) training sessions that involve role-play practice of MI. Artificial intelligence (AI) will be used to provide metrics on MI-skills (percentage of the time the clinician talks, use of open-ended questions, use of closed-ended questions, use of reflective statements, use of 0-10 scales) as measured by the ReadMI™ tool (Real-time Evaluation of Dialogue in Motivational Interviewing), and both the spirit of MI and presence of bias as measured by Dougall GPT.

  • BehavioralPlus AI (artificial intelligence)-Augmented Motivational Interviewing Training

    Plus participants will participate in four motivational interviewing (MI) training sessions that involve role-play practice of MI. Artificial intelligence (AI) will be used to provide metrics on MI-skills (percentage of the time the clinician talks, use of open-ended questions, use of closed-ended questions, use of reflective statements, use of 0-10 scales) as measured by the ReadMI™ tool, and both the spirit of MI and presence of bias as measured by Dougall GPT.

06

What researchers measure

Primary outcomes

  1. MI Communication Metrics

    Motivational interviewing skills/metrics (percentage of time the clinician speaks, number of open-ended questions, number of close-ended questions, number of reflective statements, number of 0-10 scales). Each of the metrics is the total number of occurrences.

    Time frame: Months 4-7, Months 16-20, Months 30-33

  2. MI Spirit

    Using a 0-10 scale, the spirit of motivational interviewing (MI) in a role play with a standardized patient will be measured by two artificial intelligence (AI) tools respectively: ReadMI and Dougall GPT.

    Time frame: Months 4-7, Months 16-20, Months 30-33

Secondary outcomes

  1. Bias Manifestation

    Dougall GPT will be used to identify the number of biases evident in a role play with a standardized patient.

    Time frame: Months 4-7, Months 16-20, Months 30-33

  2. Mini Z (Zero) Burnout Scale 2.0

    Ten survey questions (5 pt Likert scale) assessing perceived burnout and factors contributing to burnout. Scores range from 10-50, with 10 indicating the least amount of burnout.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

  3. Aggregated Patient Data for Each Participating PCP

    Data routinely collected by the Premier Physician Network for participating primary care providers (PCPs). All measures are percentages of patients 0% - 100%) indicating that their PCP listened, explained things clearly, and would recommend the PCP). Also, percentages of patients (0%-100%) of patients with poor hemoglobin A1c control, with hypertension control, and completing recommended screenings for each participating PCP are provided.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

  4. Perceived Stress Scale (PSS)

    Scale with 10 items (4 pt Likert scale) measuring perceived experience of stress. Scores range from 0-40 with 0 being the least amount of stress.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

  5. Brief Resilience Scale (BRS)

    Six-item scale (5 pt Likert scale) assessing responses to stressful periods. Scores range from 6-30 with higher scores indicating more resilience.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

  6. Clinician Support for Patient Activation Measure (CS-PAM)

    This 13-item scale (response options range from 1 = not important to 4 = extremely important) assesses PCP (primary care provider) attitudes and self-reported behaviors related the patient engagement in the management of their health conditions. Scores are translated into a 1-100 scale (Rasch methods) with higher scores indicating more positive beliefs about patients\' invovlement in their care.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

  7. Stress Mindset Measure (SMM)

    This 8-item (5 pt Likert scale ranging from 0=strongly disagree to 4=strongly agree) measures perspectives on stress as debilitating versus enhancing. Scores range from 0 to 32 with higher scores indicating a mindset that stress is enhancing.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

  8. MI Survey Measure

    Three items (5 pt Likert scale) assess PCP (primary care provider) attitudes regarding the impact of motivational interviewing (MI) training on confidence, intent to use/incorporation of the MI approach, and importance of MI training for other PCPs. Scores range from 3 to 15 with higher scores indicating more positive regard for MI.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

  9. Diversity Awareness Self-Reflection Tool (DASRT)

    SeventeenValues and Attitudes items (three response alternatives for each item ranging from 1=things I do often to 3=things I do rarely) from the Diversity Awareness Self-Reflection Tool will be used to assess PCP (primary care provider) self-awareness of their attitudes and behavior toward patient of diverse backgrounds. Scores range from 17 to 51 with lower scores indicating a higher degree of diversity competency.

    Time frame: Months 4-5, Months 16-17, Months 25-26, Months 32-33

07

Study locations

2 sites
08

References and documents

Publications

  • Lundahl B, Moleni T, Burke BL, Butters R, Tollefson D, Butler C, Rollnick S. Motivational interviewing in medical care settings: a systematic review and meta-analysis of randomized controlled trials. Patient Educ Couns. 2013 Nov;93(2):157-68. doi: 10.1016/j.pec.2013.07.012. Epub 2013 Aug 1. PubMed 24001658 ↗
  • Hershberger PJ, Pei Y, Bricker DA, Crawford TN, Shivakumar A, Castle A, Conway K, Medaramitta R, Rechtin M, Wilson JF. Motivational interviewing skills practice enhanced with artificial intelligence: ReadMI. BMC Med Educ. 2024 Mar 5;24(1):237. doi: 10.1186/s12909-024-05217-4. PubMed 38443862 ↗
  • Hershberger PJ, Bricker DA, Conway K, Torcasio MH. Turning "Lose-Lose" into "Win-Win": What Is Good for Them Is Good for Us! Med Sci Educ. 2021 Mar 30;31(3):1177-1181. doi: 10.1007/s40670-021-01280-4. eCollection 2021 Jun. PubMed 34457961 ↗
  • Chapman EN, Kaatz A, Carnes M. Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities. J Gen Intern Med. 2013 Nov;28(11):1504-10. doi: 10.1007/s11606-013-2441-1. Epub 2013 Apr 11. PubMed 23576243 ↗
  • Hershberger PJ, Martensen LS, Crawford TN, Bricker DA. Promoting Motivational Interviewing in Primary Care: More Than Intention. PRiMER. 2021 Feb 4;5:7. doi: 10.22454/PRiMER.2021.287928. eCollection 2021. PubMed 33860162 ↗

Individual participant data

Plan to share: No — Only aggregate participant data will be made available to other researchers.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 19, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06597123
Lead sponsor
Wright State University
Collaborators
Premier Health
Responsible party
Paul J Hershberger, PhD (Professor of Family Medicine; Associate Dean for Research Affairs, Wright State University) — Principal investigator
First posted
Sep 19, 2024
Start date
Jul 1, 2025 (estimated)
Primary completion
Jun 30, 2028 (estimated)
Completion
Jun 30, 2028 (estimated)
Last update
Sep 19, 2024

Study contacts

Paul J Hershberger, PhD
Contact
paul.hershberger@wright.edu
937-245-7223
Mary Crane, MBA
Contact
mary.crane@wright.edu
937-245-7218
Paul J Hershberger, PhD
principal investigator · Wright State University Boonshoft School of Medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Sep 2024. You cannot join it, but the record below documents what was studied.

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