Literature DB >> 34499299

Self-Coding of Fidelity as a Potential Active Ingredient of Consultation to Improve Clinicians' Fidelity.

E B Caron1, Mary Dozier2.   

Abstract

A key goal for implementation science is the identification of evidence-based consultation protocols and the active ingredients within these protocols that drive clinician behavior change. The current study examined clinicians' self-coding of fidelity as a potential active ingredient of consultation for the Attachment and Biobehavioral Catch-up (ABC) intervention. It also examined two other potential predictors of clinician fidelity in response to consultation: dosage of consultation and working alliance. Twenty-nine clinicians (97% female, 62% White, M age = 34 years) participated in a year of weekly fidelity-focused ABC consultation sessions, for which clinicians self-coded fidelity and received consultant feedback on both their coding and their fidelity. Data from the ABC fidelity measure were available for 1067 sessions coded by consultants, and clinicians' self-coding accuracy was calculated from 1044 sessions coded by both clinicians and consultants. Alliance was measured with the Working Alliance Inventory-Trainee and Supervisor Versions. The study was observational, and fidelity and self-coding accuracy were modeled across time using hierarchical linear modeling. Clinicians' ABC fidelity, as well as their self-coding accuracy, increased over the course of consultation. Clinicians' self-coding accuracy predicted their initial fidelity and growth in fidelity. Working alliance was also linked to fidelity and self-coding accuracy. These results suggest that clinician self-coding should be further examined as an active ingredient of consultation. The study has important implications for the design of consultation procedures and fidelity assessments.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Active ingredients; Consultation; Fidelity; Implementation; Self-coding

Mesh:

Year:  2021        PMID: 34499299      PMCID: PMC8854363          DOI: 10.1007/s10488-021-01160-4

Source DB:  PubMed          Journal:  Adm Policy Ment Health        ISSN: 0894-587X


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