From intervention to innovation: applying a formal implementation strategy in community primary care

Outcomes associated with scale-up of the Stepping On falls prevention program: A case study in redesigning for dissemination

Introduction:

Translating complex behavior change interventions into practice can be accompanied by a loss of fidelity and effectiveness. We present the evaluation of two sequential phases of implementation of a complex evidence-based community workshop to reduce falls, using the Replicating Effective Programs Framework. Between the two phases, workshop training and delivery were revised to improve fidelity with key elements.

Methods:

Stepping On program participants completed a questionnaire at baseline (phase 1: n = 361; phase 2: n = 2219) and 6 months post-workshop (phase 1: n = 232; phase 2: n = 1281). Phase 2 participants had an additional follow-up at 12 months (n = 883). Outcomes were the number of falls in the prior 6 months and the Falls Behavioral Scale (FaB) score.

Results:

Workshop participation in phase 1 was associated with a 6% reduction in falls (RR = 0.94, 95% CI 0.74–1.20) and a 0.14 improvement in FaB score (95% CI, 0.11– 0.18) at 6 months. Workshop participation in phase 2 was associated with a 38% reduction in falls (RR = 0.62, 95% CI 0.57–0.68) and a 0.16 improvement in FaB score (95% CI 0.14–0.18) at 6 months, and a 28% reduction in falls (RR = 0.72, 95% CI 0.65–0.80) and a 0.19 score improvement in FaB score (95% CI 0.17–0.21) at 12-month follow-up.

Conclusions:

Effectiveness can be maintained with widespread dissemination of a complex behavior change intervention if attention is paid to fidelity of key elements. An essential role for implementation science is to ensure effectiveness as programs transition from research to practice.

Using the Replicating Effective Programs Framework to Adapt a Heart Health Intervention

Heart disease is the leading cause of death in the United States. African Americans and people of low socioeconomic status suffer disproportionately from heart disease-related morbidity and mortality. In Detroit, Michigan, a primarily African American and low-income urban area, heart disease mortality is at twice the national rate. Despite evidence for the effectiveness of self-management support interventions in reducing chronic disease burden for older adults, few are adapted for communities most in need. This article describes the process of adapting Take PRIDE, an evidence-based heart disease self-management intervention, for older adults in Detroit via the Replicating Effective Programs (REP) framework. Working within a community-academic partnership, we found REP useful in facilitating the identification of diverse stakeholders, core versus adaptable elements of the intervention and barriers to implementation. We also made several modifications to the REP framework in order to better fit our project needs. Overall, we found REP to be an effective, flexible tool that allowed us to successfully adapt a disease-management intervention for this setting. Processes, lessons learned, and recommendations offered in this article may help researchers and practitioners working to expand access to self-management support for populations most affected by chronic disease.

Implementation of collaborative goal setting for diabetes in community primary care

Collaborative goal setting (CGS) is a cornerstone of diabetes self-management support, but little is known about its feasibility and effectiveness during routine care. The aim of this study was to evaluate the implementation of an existing CGS intervention when integrated by primary care staff. Using a mixed-methods approach guided by the RE-AIM framework, intervention adoption, implementation, reach, and effectiveness were evaluated over 12 months. Three of four sites adopted the CGS intervention, in which 521 patients with type 2 diabetes (9-29 % of those targeted) received CGS. For those with suboptimal glycemic control (A1C ≥ 7.5 %), %A1C decreased by 1.1 for those receiving CGS (n = 204, p < 0.001) compared to 0.4 for a group who did not (n = 41, p = 0.23). Practice characteristics influenced adoption and implementation, while isolation of CGS from the remainder of clinical care likely influenced reach and effectiveness. CGS may benefit patients with diabetes, but a lack of integration by practice staff is a key barrier to overcome during implementation.