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An adaptable implementation package targeting evidence-based indicators in primary care: A pragmatic
Thomas A Willis1, Michelle Collinson2, Liz Glidewell3
1Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
A multifaceted implementation package effectively reduced risky prescribing in primary care, proving cost-effective for clinician-controlled behaviors but not complex patient-engaged ones.
Area of Science:
- Primary care research
- Health services research
- Implementation science
Background:
- Primary care faces challenges in bridging evidence and practice due to competing priorities.
- Existing implementation studies often lack generalizability by focusing on single conditions.
- This study evaluated an adaptable implementation package across multiple quality indicators.
Purpose of the Study:
- To compare an adaptable implementation package against a control for adherence to four evidence-based quality indicators in primary care.
- To assess the clinical and cost-effectiveness of the implementation package for various clinical areas.
Main Methods:
- Two parallel, pragmatic cluster-randomised trials with balanced incomplete block designs were conducted in West Yorkshire, England.
- An 'opt-out' recruitment strategy was used, randomizing 144 general practices to targeted implementation packages (diabetes, risky prescribing, blood pressure, or anticoagulation).
- The implementation package integrated behavior change techniques within audit and feedback, educational outreach, and computerized support, with tailored content.
Main Results:
- The implementation package significantly reduced risky prescribing (OR 0.82; p=0.017) and was cost-effective (£1,359 per QALY).
- No significant effects were found for diabetes control, blood pressure control, or anticoagulation prescribing in atrial fibrillation.
- A secondary outcome showed reduced co-prescription of aspirin and clopidogrel without gastro-protection in older patients (aOR 0.62; p=0.021).
Conclusions:
- A multifaceted implementation package demonstrated clinical and cost-effectiveness for prescribing behaviors controllable by clinicians.
- The package was less effective for complex behaviors requiring patient engagement.
- Limitations include inability to isolate effects of individual intervention components and a potentially too-challenging diabetes control endpoint.
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