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Implementation Science at UW

Keywords: Semret Nicodimos

✪ The influence of a blended, theoretically-informed pre-implementation strategy on school-based clinician implementation of an evidence-based trauma intervention

Authors:

Aaron R. Lyon, Clayton R. Cook, Mylien T. Duong, Semret Nicodimos, Michael D. Pullmann, Stephanie K. Brewer, Larissa M. Gaias & Shanon Cox

University of Washington affiliated authors are displayed in bold.

Published: May 2019

Read the full text in the open access journal Implementation Science

 

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Abstract:

Background

Individual-level implementation determinants, such as clinician attitudes, commonly influence the successful adoption of evidence-based practices, but few explicit strategies have been tested with regard to their ability to impact these key mechanisms of change. This paper reports on an initial test of a blended, theoretically informed pre-implementation strategy designed to target malleable individual-level determinants of behavior change. Beliefs and Attitudes for Successful Implementation in Schools (BASIS) is a brief and pragmatic pre-implementation strategy that uses strategic education, social influence techniques, and group-based motivational interviewing to target implementation attitudes, perceived social norms, perceived behavioral control, and behavioral intentions to implement among mental health clinicians working in the education sector.

Methods

As part of a pilot trial, 25 school mental health clinicians were randomized to BASIS (n = 12) or an attention control placebo (n = 13), with both conditions receiving training and consultation in an evidence-based intervention for youth experiencing trauma (the Cognitive Behavioral Intervention for Trauma in Schools). Theorized mechanisms of change (attitudes, perceived social norms, perceived behavioral control, and behavioral intentions) were assessed at baseline, post-training, and 4-month follow-up. Clinician participation in post-training consultation and intervention adoption were also tracked.

Results

A series of regression models and independent sample t tests indicated that BASIS had significant, medium to large effects on the majority of its proximal mechanisms from baseline to post-training. BASIS was also associated with a greater latency between initial training in the intervention and discontinuation of participation in post-training consultation, with clinicians in the BASIS condition persisting in consultation for an average of 134 days versus 32 days for controls, but this difference was not statistically significant. At 4-month follow-up, most differences in the theorized mechanisms had attenuated, and approximately the same small number of BASIS clinicians adopted the trauma intervention as controls.

Conclusion

Findings suggest that the brief BASIS pre-implementation strategy had a significant influence on its proximal mechanisms of change, but that these changes did not persist over time or translate into adoption of the trauma intervention. Implications for theory refinement, revisions to the BASIS protocol, and next steps for research surrounding individual-level implementation strategies are discussed.

Trial Registration

ClinicalTrials.gov Identifier: NCT03791281. Registered 31 December 2018—Retrospectively registered.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

Health Information Technologies — Academic and Commercial Evaluation (HIT-ACE) methodology: Description and application to clinical feedback systems

Authors:

Aaron R. Lyon, Cara C. Lewis, Abigail Melvin, Meredith Boyd, Semret Nicodimos, Freda F. Liu, Nathaniel Jungbluth

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: September 2016

Read the full text in the open access journal Implementation Science

Abstract:

Background

Health information technologies (HIT) have become nearly ubiquitous in the contemporary healthcare landscape, but information about HIT development, functionality, and implementation readiness is frequently siloed. Theory-driven methods of compiling, evaluating, and integrating information from the academic and commercial sectors are necessary to guide stakeholder decision-making surrounding HIT adoption and to develop pragmatic HIT research agendas. This article presents the Health Information Technologies—Academic and Commercial Evaluation (HIT-ACE) methodology, a structured, theory-driven method for compiling and evaluating information from multiple sectors. As an example demonstration of the methodology, we apply HIT-ACE to mental and behavioral health measurement feedback systems (MFS). MFS are a specific class of HIT that support the implementation of routine outcome monitoring, an evidence-based practice.

Results

HIT-ACE is guided by theories and frameworks related to user-centered design and implementation science. The methodology involves four phases: (1) coding academic and commercial materials, (2) developer/purveyor interviews, (3) linking putative implementation mechanisms to hit capabilities, and (4) experimental testing of capabilities and mechanisms. In the current demonstration, phase 1 included a systematic process to identify MFS in mental and behavioral health using academic literature and commercial websites. Using user-centered design, implementation science, and feedback frameworks, the HIT-ACE coding system was developed, piloted, and used to review each identified system for the presence of 38 capabilities and 18 additional characteristics via a consensus coding process. Bibliometic data were also collected to examine the representation of the systems in the scientific literature. As an example, results are presented for the application of HIT-ACE phase 1 to MFS wherein 49 separate MFS were identified, reflecting a diverse array of characteristics and capabilities.

Conclusions

Preliminary findings demonstrate the utility of HIT-ACE to represent the scope and diversity of a given class of HIT beyond what can be identified in the academic literature. Phase 2 data collection is expected to confirm and expand the information presented and phases 3 and 4 will provide more nuanced information about the impact of specific HIT capabilities. In all, HIT-ACE is expected to support adoption decisions and additional HIT development and implementation research.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**