Provider Readiness and Adaptations of Competency Drivers During Scale-Up of the Family Check-Up

Autor: Jenna Rudo-Stern, Kirsten Letham, Thomas J. Dishion, Anne M. Mauricio, Monique Lopez
Rok vydání: 2019
Předmět:
Zdroj: The journal of primary prevention. 40(1)
ISSN: 1573-6547
Popis: We used provider (n = 112) data that staff at the agency disseminating the Family Check-Up (FCU; REACH Institute) collected to profile provider diversity in community settings and to examine whether provider profiles are related to implementation fidelity. Prior to FCU training, REACH Institute staff administered the FCU Provider Readiness Assessment (PRA), a provider self-report measure that assesses provider characteristics previously linked with provider uptake of evidence-based interventions. We conducted a latent class analysis using PRA subscale scores as latent class indicators. Results supported four profiles: experienced high readiness (ExHR), experienced low readiness (ExLR), moderate experience (ME), and novice. The ExHR class was higher than all other classes on: (1) personality variables (i.e., agreeableness, conscientiousness, openness, extraversion); (2) evidence-based practice attitudes; (3) work-related enthusiasm and engagement; and (4) their own well-being. The ExHR class was also higher than ExLR and ME classes on clinical flexibility. The ME class was lowest of all classes on conscientiousness, supervision, clinical flexibility, work-related enthusiasm and engagement, and well-being. During the FCU certification process, FCU Consultants rated providers’ fidelity to the model. Twenty-three of the 112 providers that completed the PRA also participated in certification. We conducted follow-up regression analyses using fidelity data for these 23 providers to explore associations between probability of class membership and fidelity. The likelihood of being in the ExHR class was related to higher FCU fidelity, whereas the likelihood of being in the ExLR class was related to lower fidelity. We discuss how provider readiness assessment data can be used to guide the adaptation of provider selection, training, and consultation in community settings.
Databáze: OpenAIRE