Evaluating the Implementation of a Multicomponent Intervention Consisting of Education and Feedback on Reducing Benzodiazepine Prescriptions by General Practitioners: BENZORED Hybrid Type I Cluster Randomized Controlled Trial

Background: General practitioners (GPs) in developed countries widely prescribe benzodiazepines (BZDs) for their anxiolytic, hypnotic, and muscle-relaxant effects. Treatment duration, however, is rarely limited, and this results in a significant number of chronic users. Long-term BZD use is associated with cognitive impairment, falls with hip fractures, traffic accidents, and increased mortality. The BENZORED IV trial was a hybrid type-1 trial conducted to evaluate the effectiveness and implementation of an intervention to reduce BZD prescription in primary care. The purpose of this qualitative study was to analyze the facilitators and barriers regarding the implementation of the intervention in primary care settings.

Methods: A qualitative interview study with 40 GPs from three Spanish health districts. Focus group meetings with GPs from the intervention arm of the BENZORED IV trial were held at primary healthcare centers in the three districts. For sampling purposes, the GPs were classified as high or low implementers according to the success of the intervention measured at 12 months. The Consolidated Framework for Implementation Research (CFIR) was used to conduct the meetings and to code, rate, and analyze the data.

Results: Three of the 41 CFIR constructs strongly distinguished between high and low implementers: the complexity of the intervention, the individual Stage of Change, and the key stakeholder's engagement. Seven constructs weakly discriminated between the two groups: adaptability in the intervention, external policy and incentives, implementation climate, relative priority, self-efficacy, compatibility, and engaging a formally appointed implementation leader. Fourteen constructs did not discriminate between the two groups, six had insufficient data for evaluation, and eleven had no data for evaluation.

Conclusions: We identified constructs that could explain differences in the efficacy in implementation of the intervention. This information is relevant for the design of successful strategies for implementation of the intervention.