INTRODUCTION: This is the first study to use the Common-Sense Model of Self-Regulation theory for oral health interventions in pediatric practices. The objective of this qualitative study was to assess adoption and implementation of theory-based multilevel oral health interventions, by clinicians (pediatricians and nurse practitioners) participating in a cluster randomized clinical trial, to create an oral health toolkit for widespread dissemination into pediatric practices.

METHODS: Semistructured interviews were conducted at the conclusion of the cluster randomized clinical trial with 21 clinicians from 9 practices participating in the intervention arm. Clinicians in this arm received Common-Sense Model of Self-Regulation theory-based education and resources to deliver oral health interventions to parents/caregivers and document in electronic medical record. Semistructured interview questions were based on the Diffusion of Innovations Theory, assessing adoption and implementation. The interviews were coded using NVivo (QRS International) software. Main themes were identified using a thematic analysis approach.

RESULTS: Five themes identified from the interviews included strengths of theory-based oral health training for clinicians, oral health resources to improve quality of care, considerations for efficient future implementation, financial considerations, and parent benefits and challenges. Clinicians found that the theory-based training and resources increased knowledge and confidence when addressing oral health with parents and required only ≤2 minutes in their workflow with no financial consequences. Clinicians reported an increase in oral health awareness among parents but suggested an overall need for more pediatric dentists.

CONCLUSIONS: The Common-Sense Model of Self-Regulation theory-based education and resources were well received by clinicians and perceived to be beneficial without adverse impact on workflow or practice finances. An online toolkit is planned because these oral health interventions can be successfully implemented and delivered in medical settings.