Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification

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This paper evaluates the accuracy of statistical text classification in replicating human-based judgments of provider fidelity for motivational interviewing sessions. Using transcripts from 148 participants across five randomized trials, the study compares model-generated codes against standard human ratings to assess reliability and agreement. The results indicate reasonably strong sensitivity and specificity, suggesting potential utility for scaling up intervention evaluation.

ID
c49a01bd3a6244db
Source org
OpenAlex
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Published
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OA status
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DOI
10.1186/1748-5908-9-49
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BibTeX

@article{allodium:c49a01bd3a6244db,
  title = {Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification},
  journal = {OpenAlex},
  doi = {10.1186/1748-5908-9-49},
  url = {https://doi.org/10.1186/1748-5908-9-49}
}

RIS

TY  - JOUR
TI  - Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification
PB  - OpenAlex
DO  - 10.1186/1748-5908-9-49
UR  - https://doi.org/10.1186/1748-5908-9-49
ER  -

APA

Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification. (n.d.). OpenAlex. https://doi.org/10.1186/1748-5908-9-49

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