Pragmatic Quality Assessment of Brief Health Behavior Change Interventions: Evidence for Criterion-Related Validity of the Behavior Change Counseling Index
Bibliographic record
Abstract
BACKGROUND: Healthcare providers frequently engage patients in conversations about health behavior change and are encouraged to use patient-centered approaches, such as Motivational Interviewing. Training in and sustainment of these skills are known to require feedback based on actual or role-played patient encounters. The behavior change counseling index (BECCI) is a pragmatic measure to assess healthcare providers' patient-centered behavior change counseling skills that was developed as an alternative to resource-intensive "gold standard" measures, which are difficult to use in routine practice. We are not aware of any studies that examine the criterion-related validity of this measure using an alternative gold standard measure. We examined the criterion-related validity of the BECCI as rated by a simulated patient actor immediately after a brief behavior change intervention role-play using objective ratings on the motivational interviewing treatment integrity (MITI) scale. METHODS: We conducted a secondary analysis of data from a 25-site clinical trial of screening and intervention for posttraumatic stress disorder and comorbidities with patients at level I trauma centers in the USA. Participants were 64 providers representing diverse professional roles trained to deliver a multi-component intervention with study patients. As part of the training, providers role-played counseling a patient to reduce risky alcohol use with a simulated patient actor. These 20-min role-plays were conducted by telephone and audio recorded. Immediately after the role-play, the simulated patient actor rated the quality of the providers' patient-centered behavior change counseling skills using the BECCI. A third-party expert MITI rater later listened to the audio recordings of the role-plays and rated the quality of the providers' patient-centered behavior change counseling skills using the MITI 3.1.1. RESULTS: All correlations observed were statistically significant. The overall BECCI score correlated strongly (≥ 0.50) with five of the six MITI scores and moderately (0.33) with MITI percent complex reflections. CONCLUSIONS: This study provides evidence of criterion-related validity of the BECCI with a sample of healthcare providers representing a range of professional roles. Simulated patient actor rating using the BECCI is a pragmatic approach to assessing the quality of brief behavior change interventions delivered by healthcare providers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.144 | 0.311 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".