Document Type

Article

Publication Date

1-1-2021

Identifier/URL

40269331 (Pure); 85108244906 (QABO); 34113205 (PubMed); PMC8186935 (PubMedCentral)

Abstract

Background: Motivational interviewing (MI) is an evidence-based, brief interventional approach that has been demonstrated to be highly effective in triggering change in high-risk lifestyle behaviors. MI tends to be underutilized in clinical settings, in part because of limited and ineffective training. To implement MI more widely, there is a critical need to improve the MI training process in a manner that can provide prompt and efficient feedback. Our team has developed and tested a training tool, Real-time Assessment of Dialogue in Motivational Interviewing (ReadMI), that uses natural language processing (NLP) to provide immediate MI metrics and thereby address the need for more effective MI training.

Methods: Metrics produced by the ReadMI tool from transcripts of 48 interviews conducted by medical residents with a simulated patient were examined to identify relationships between physician-speaking time and other MI metrics, including the number of open- and closed-ended questions. In addition, interrater reliability statistics were conducted to determine the accuracy of the ReadMI's analysis of physician responses.

Results: The more time the physician spent talking, the less likely the physician was engaging in MI-consistent interview behaviors ( r = -0.403, p = 0.007), including open-ended questions, reflective statements, or use of a change ruler.

Conclusion: ReadMI produces specific metrics that a trainer can share with a student, resident, or clinician for immediate feedback. Given the time constraints on targeted skill development in health professions training, ReadMI decreases the need to rely on subjective feedback and/or more time-consuming video review to illustrate important teaching points.

Competing Interests: None of the authors have any conflicts of interest to report.

Comments

Publisher Copyright: © 2021 Hershberger et al. terms.php and incorporate t.

This work is licensed under CC BY-NC 4.0

DOI

10.2147/AMEP.S312373

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