Evidence map›Paper›PMID 42630816›Full record

ArticlePEC innovation2026

Motivational interviewing training for community mental health providers: Findings and lessons learned from three related studies.

Arlene T Dalcin, Tyler Fink, Gerald J Jerome, Stacy Goldsholl, Steve Martino, Gail L Daumit

Abstract read
In one paragraph

Article in PEC innovation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Arlene T DalcinDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, United States of America.
Tyler FinkDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, United States of America.
Gerald J JeromeDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, United States of America.
Stacy GoldshollDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, United States of America.
Steve MartinoDepartment of Psychiatry, Yale University, New Haven, United States of America.
Gail L DaumitDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to test innovative Motivational Interviewing (MI) training strategies: remote workshop and avatar conversation simulations among community mental health staff. Innovation: Researchers provided an engaging, interactive tool for learning and practicing MI to a variety of real-world practitioners and compared two methods for measuring skills: automated scoring from avatar simulations and coded interviews using the validated Motivational Interviewing Treatment Integrity (MITI) tool. Methods: Attitudes, beliefs, and MI skills of 127 practitioners implementing three distinct research projects were examined: ACHIEVE-D (weight loss); IMPACT (tobacco smoking cessation); and RHYTHM (CVD risk reduction). Results: 95% of participants believed MI was important to learn; 88% completed the workshop; 64% used the avatar-based training. Practice improvements were modest and inconsistent over time across the three projects. While underutilized, 47 participants (75%) who tried the avatar training at least once felt that it helped develop their skills. Conclusions: Community mental health practitioners value learning MI. Their engagement with the asynchronous avatar training resources was insufficient and did not meaningfully improve their observed MI skills. Although a novel feature of the avatar-based training, the automated conversation scoring appeared to overestimate performance for all MI metrics relative to MITI scores at the same time points.

Indexed as

Avatar-based trainingCardiovascular disease risk reductionCommunity mental healthImplementation researchMotivational interviewingRemote training

Identifiers

PMID42630816
PMCPMC13495626

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.