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Published on: September 26, 2018
A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study
Avinash Pandey1,2, Marie Michelle D'Souza2, Amritanshu Shekhar Pandey2,3
1Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
The Stratification and Optimization in Patients With Cardiovascular Disease (STOP-CVD) application is a feasible and usable tool for improving secondary prevention therapy uptake in cardiovascular disease patients, showing high clinician satisfaction.
Area of Science:
- Cardiology
- Digital Health
- Clinical Informatics
Background:
- Novel therapies improve outcomes in atherosclerotic cardiovascular disease (ASCVD) but face challenges in uptake.
- Knowledge translation strategies are needed to enhance secondary prevention therapy adoption.
- Individualized risk stratification and guidance can support guideline-directed therapy.
Purpose of the Study:
- To test the feasibility and usability of the Stratification and Optimization in Patients With Cardiovascular Disease (STOP-CVD) application.
- To evaluate STOP-CVD's role in facilitating knowledge translation for secondary prevention.
- To assess clinician experience with a point-of-care risk stratification and optimization tool.
Main Methods:
- A free, web-based secondary risk calculator was developed using the REACH Registry trial data (67,888 patients).
- The application predicted 20-month cardiovascular event/mortality risk and identified modifiable residual risk.
- Physicians received invitations; user experience surveys and Google Analytics data were collected postimplementation.
Main Results:
- During a 1-year pilot, 47 of 240 invited clinicians used the STOP-CVD application 1573 times.
- Sustained usage averaged 131 uses per month.
- All 24 survey respondents found the application functional, easy to use, and useful.
Conclusions:
- The STOP-CVD application demonstrates feasibility, usability, and high clinician satisfaction.
- This tool can be scaled to support guideline-directed medical therapy uptake.
- Future research will assess the impact on clinical management and patient outcomes.
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