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Implementation of a Sudden Cardiac Death Risk Prediction Tool in Clinical Practice Through Electronic Health Records
Tanya Papaz1,2, Emily Seto3,4,5, Samantha J Anthony6,7,8
1Genetics and Genome Biology, Research Institute, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada.
Insights
Sudden cardiac death risk prediction in children with hypertrophic cardiomyopathy (HCM) is improved by implementing the PRIMaCY tool into electronic health records (EHRs). This study assesses implementation strategies for better guideline-directed care.
Area of Science:
- Cardiology
- Implementation Science
- Digital Health
Background:
- Sudden cardiac death (SCD) is a significant risk for children with hypertrophic cardiomyopathy (HCM).
- Clinical practice guidelines recommend risk prediction tools for shared decision-making regarding implantable cardioverter-defibrillators.
- The PRecIsion Medicine in CardiomYopathy (PRIMaCY) consortium developed a validated SCD risk prediction tool.
Purpose of the Study:
- To implement the PRIMaCY risk prediction tool into electronic health records (EHRs) within Canadian pediatric hospitals.
- To assess the determinants and outcomes of implementing this digital health solution.
- To inform best practices for integrating evidence-based tools into clinical workflows.
Main Methods:
- A prospective, multicentre, hybrid type-3 mixed-methods implementation study (INSERT-HCM).
- Utilized the Active Implementation Framework for a staged implementation process.
- Employed the Implementation Outcomes Taxonomy and Consolidated Framework for Implementation Research to assess outcomes and determinants.
Main Results:
- The study focuses on the process of implementation, including technical installation and optimization for different healthcare settings.
- Evaluation of tool adoption, penetration, and fidelity using back-end EHR data.
- Assessment of implementation facilitators, barriers, and sustainability in clinical practice.
Conclusions:
- Successful implementation of the PRIMaCY tool into EHRs can improve guideline-directed care for pediatric HCM patients.
- This study will establish best practices for implementing digital health solutions within hospital EHRs.
- Findings will guide the future dissemination of similar evidence-based digital health tools.
Abstract:
Sudden cardiac death is a leading cause of mortality in children with hypertrophic cardiomyopathy (HCM). The PRecIsion Medicine in CardiomYopathy consortium developed a validated tool (PRIMaCY) for sudden cardiac death risk prediction to help with implantable cardioverter defibrillator shared decision-making, as recommended by clinical practice guidelines. The Implementing a Sudden Cardiac Death Risk Assessment Tool in Childhood HCM (INSERT-HCM) study aims to implement PRIMaCY into electronic health records (EHRs) and assess implementation determinants and outcomes. INSERT-HCM is a prospective, multicentre, hybrid type-3 mixed-methods implementation study of an EHR-embedded risk calculator across Canadian pediatric hospitals. The Active Implementation Framework will inform a staged implementation process, with organization-based implementation teams facilitating the implementation technical installation and implementation process. PRIMaCY will be installed as a user-tested EHR-integrated tool and implemented in practice using an organization and provider-focused strategy at participating hospitals. Technical installation and implementation strategies will be optimized for each healthcare setting. The Implementation Outcomes Taxonomy will inform implementation outcomes. Back-end EHR data will assess tool adoption, penetration, and fidelity. The Consolidated Framework for Implementation Research will assess implementation determinants (facilitators and barriers), and sustainability in clinical practice will be explored. INSERT-HCM will inform best practices for implementing an evidence-based digital health solution within hospital EHRs and clinical workflows to improve guideline-directed care. Developing an effective implementation strategy will inform the future dissemination of EHR-integrated digital health tools to the broader scientific and clinical community.
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