Adaptation of the Motivational Interviewing Skills Code to Identify Client Language Predicting Reduced Opioid Use Risk and Increased Use of Alternative Pain Care Strategies in Veterans
The MISC-APCS has promise as a coding system that can reliably record client utterances regarding different types of pain care strategies. These utterances may be associated with post-treatment reports of pain and efforts to reduce opioid risk. The rapid development of artificial intelligence applications to healthcare can utilize this coding system to assist with the assessment and treatment of chronic pain.
Authors
- Kristina M. Jackson (ORCID: https://orcid.org/0000-0001-5449-5473)
- Theodore J. Fetterling (ORCID: https://orcid.org/0009-0008-2733-4410)
- Joannalyn Delacruz (ORCID: https://orcid.org/0000-0003-3219-5503)
- Benjamin O. Ladd (ORCID: https://orcid.org/0000-0003-0997-0778)
- Shahrzad Hassanbeigi Daryani (ORCID: https://orcid.org/0000-0001-5802-7984)
- Catherine Baxley (ORCID: https://orcid.org/0000-0002-7017-1943)
- Brian Borsari (ORCID: https://orcid.org/0000-0002-1491-7771)
- Jennifer K. Manuel (ORCID: https://orcid.org/0000-0001-7457-3408)
- Kyle J. Self (ORCID: https://orcid.org/0000-0002-7219-7151)
- Karen H. Seal (ORCID: https://orcid.org/0000-0002-6676-9117)
Institutions
- Rutgers, The State University of New Jersey (US)
- Rush University Medical Center (US)
- Washington State University Vancouver (US)
- University of Miami (US)
- University of California, San Francisco (US)
- University of Miami Health System (US)
- San Francisco VA Health Care System (US)
Publication Details
- Journal
- Methods and Protocols
- Published
- 2025-12-08
- DOI
- https://doi.org/10.3390/mps8060149
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00