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Research
Alfonso Leiva
Gerencia de atención primaria de Mallorca
Corresponding Author
ORCiD: https://orcid.org/0000-0001-5306-8533
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This work is licensed under a CC BY 4.0 License. Read Full License
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 facilitator and barriers to implement the intervention to primary care settings.
Methods: 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 in the intervention, the individual Stage of Change and the key stakeholder’s engagement. Seven constructs weakly discriminated between the two groups: the adaptability in the intervention, the external policy and incentives, the implementation climate, the relative priority, the self-efficacy and formally appointed implementation leader engaging. Fourteen constructs did not discriminate between the two groups, six had insufficient data for evaluation, and eleven had no data for evaluation.
Conclusion: We identified constructs that could explain the variation in the implementation of the intervention, this information is relevant to design successful implementation strategies to implement the intervention.
Keywords
primary care intervention, benzodiazepines (BZDs), implementation, prescriptions
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This is a preprint. It has not completed peer review.
Research
Alfonso Leiva
Gerencia de atención primaria de Mallorca
Corresponding Author
ORCiD: https://orcid.org/0000-0001-5306-8533
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 11 Mar, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Economics & Outcomes Research
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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 facilitator and barriers to implement the intervention to primary care settings.
Methods: 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 in the intervention, the individual Stage of Change and the key stakeholder’s engagement. Seven constructs weakly discriminated between the two groups: the adaptability in the intervention, the external policy and incentives, the implementation climate, the relative priority, the self-efficacy and formally appointed implementation leader engaging. Fourteen constructs did not discriminate between the two groups, six had insufficient data for evaluation, and eleven had no data for evaluation.
Conclusion: We identified constructs that could explain the variation in the implementation of the intervention, this information is relevant to design successful implementation strategies to implement the intervention.
Figure 1
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