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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Implementing multidomain non-pharmaceutical interventions for preventing cognitive decline in community-dwelling
Zishuo Huang1,2, Gonghang Qiu1,2, Changmiao Shi3
1School of Public Health, Fudan University, Shanghai, China.
Introduction:
The WW-FINGERS network has demonstrated the efficacy of multidomain non-pharmaceutical interventions (NPIs) but left their real-world implementation largely unexplored, prompting this study in Changxing County to identify key determinants and develop actionable strategies for community-based delivery.
Methods:
An embedded mixed-methods retrospective evaluation using the Consolidated Framework for Implementation Research (CFIR) was conducted. Data from 42 stakeholders across six communities were analyzed via a hybrid deductive-inductive approach and coincidence analysis (CNA). Strategies were matched using the ERIC compendium and refined by a stakeholder panel.
Results:
We identified 202 determinants, revealing six core facilitator themes (e.g., policy-academia-community synergy) and six barrier themes(e.g., unsustainable funding). CNA delineated potential pathways. Three strategy bundles were finalized: Capacity Building, Collaborative Network Building, and an AI-enabled digital platform.
Discussion:
This study provides a practical, theory-informed framework for implementing complex NPIs, bridging the science-to-practice gap in dementia prevention. The AI-enabled platform offers a forward-looking approach for sustained delivery.
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