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.
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.
Eligible PCPs who opt to not provide informed consent for participation will be excluded from the study.
Parallel
Basic AI (artificial intelligence)-Augmented Motivational Interviewing Training
BehavioralBasic 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.
Plus AI (artificial intelligence)-Augmented Motivational Interviewing Training
BehavioralPlus 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.
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.
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.
Bias Manifestation
Dougall GPT will be used to identify the number of biases evident in a role play with a standardized patient.
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.
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.
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.
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Wright State University
Lead sponsor
Premier Health
Collaborator
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