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Applying Implementation Science Methods to Prospectively Track the Adaptation of an Evidence-Based Deprescribing
Cara C Lewis1,2, Kanichi G Nakata1, Benjamin H Balderson1
1Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
This study adapted the STOP-FALLS intervention to reduce medication-related falls in older adults. Key adaptations improved intervention content and strategies for real-world healthcare settings.
Area of Science:
- Gerontology
- Pharmacology
- Implementation Science
Background:
- Falls are a significant risk for older adults, with central nervous system-active medications increasing this risk.
- The Centers for Disease Control and Prevention funded the STOP-FALLS pragmatic trial to evaluate a deprescribing intervention aimed at reducing falls.
- Implementation process data were collected alongside the trial to understand how the intervention was adopted.
Purpose of the Study:
- To describe prospective modifications made to the STOP-FALLS intervention.
- To summarize the implementation strategies used in a real-world healthcare setting.
- To adhere to reporting recommendations from implementation science.
Main Methods:
- A preimplementation phase involved collaboration with delivery system leaders to adapt the intervention.
- Focus groups with end-users were conducted to optimize patient educational materials.
- The intervention was pilot-tested in a primary care setting within the Kaiser Permanente Washington system.
Main Results:
- Twenty-seven adaptations were made to the STOP-FALLS intervention.
- Thirteen distinct implementation strategies were deployed across three preimplementation phases.
Conclusions:
- Intervention adaptations addressed trial guidelines (e.g., including opioid medications) and specific healthcare system operations.
- Refinements were made to enhance the intervention based on patient and primary care practitioner feedback.
- The deployed implementation strategies may serve as best practices for future pragmatic trials embedded in health systems.
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