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A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study

BACKGROUND: In addition to aspirin, angiotensin-converting enzyme inhibitors, statins, and lifestyle modification interventions, novel pharmacological agents have been shown to reduce morbidity and mortality in atherosclerotic cardiovascular disease patients, including new antithrombotics, antihyper...

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Autores principales: Pandey, Avinash, D'Souza, Marie Michelle, Pandey, Amritanshu Shekhar, Mir, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436122/
https://www.ncbi.nlm.nih.gov/pubmed/37535400
http://dx.doi.org/10.2196/46533
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author Pandey, Avinash
D'Souza, Marie Michelle
Pandey, Amritanshu Shekhar
Mir, Hassan
author_facet Pandey, Avinash
D'Souza, Marie Michelle
Pandey, Amritanshu Shekhar
Mir, Hassan
author_sort Pandey, Avinash
collection PubMed
description BACKGROUND: In addition to aspirin, angiotensin-converting enzyme inhibitors, statins, and lifestyle modification interventions, novel pharmacological agents have been shown to reduce morbidity and mortality in atherosclerotic cardiovascular disease patients, including new antithrombotics, antihyperglycemics, and lipid-modulating therapies. Despite their benefits, the uptake of these guideline-directed therapies remains a challenge. There is a need to develop strategies to support knowledge translation for the uptake of secondary prevention therapies. OBJECTIVE: The goal of this study was to test the feasibility and usability of Stratification and Optimization in Patients With Cardiovascular Disease (STOP-CVD), a point-of-care application that was designed to facilitate knowledge translation by providing individualized risk stratification and optimization guidance. METHODS: Using the REACH (Reduction of Atherothrombosis for Continued Health) Registry trial and predictive modeling (which included 67,888 patients), we designed a free web-based secondary risk calculator. Based on demographic and comorbidity profiles, the application was used to predict an individual’s 20-month risk of cardiovascular events and cardiovascular mortality and provides a comparison to an age-matched control with an optimized cardiovascular risk profile to illustrate the modifiable residual risk. Additionally, the application used the patient’s risk profile to provide specific guidance for possible therapeutic interventions based on a novel algorithm. During an initial 3-month adoption phase, 1-time invitations were sent through email and telephone to 240 physicians that refer to a regional cardiovascular clinic. After 3 months, a survey of user experience was sent to all users. Following this, no further marketing of the application was performed. Google Analytics was collected postimplementation from January 2021 to December 2021. These were used to tabulate the total number of distinct users and the total number of monthly uses of the application. RESULTS: During the 1-year pilot, 47 of the 240 invited clinicians used the application 1573 times, an average of 131 times per month, with sustained usage over time. All 24 postimplementation survey respondents confirmed that the application was functional, easy to use, and useful. CONCLUSIONS: This pilot suggests that the STOP-CVD application is feasible and usable, with high clinician satisfaction. This tool can be easily scaled to support the uptake of guideline-directed medical therapy, which could improve clinical outcomes. Future research will be focused on evaluating the impact of this tool on clinician management and patient outcomes.
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spelling pubmed-104361222023-08-19 A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study Pandey, Avinash D'Souza, Marie Michelle Pandey, Amritanshu Shekhar Mir, Hassan JMIR Cardio Original Paper BACKGROUND: In addition to aspirin, angiotensin-converting enzyme inhibitors, statins, and lifestyle modification interventions, novel pharmacological agents have been shown to reduce morbidity and mortality in atherosclerotic cardiovascular disease patients, including new antithrombotics, antihyperglycemics, and lipid-modulating therapies. Despite their benefits, the uptake of these guideline-directed therapies remains a challenge. There is a need to develop strategies to support knowledge translation for the uptake of secondary prevention therapies. OBJECTIVE: The goal of this study was to test the feasibility and usability of Stratification and Optimization in Patients With Cardiovascular Disease (STOP-CVD), a point-of-care application that was designed to facilitate knowledge translation by providing individualized risk stratification and optimization guidance. METHODS: Using the REACH (Reduction of Atherothrombosis for Continued Health) Registry trial and predictive modeling (which included 67,888 patients), we designed a free web-based secondary risk calculator. Based on demographic and comorbidity profiles, the application was used to predict an individual’s 20-month risk of cardiovascular events and cardiovascular mortality and provides a comparison to an age-matched control with an optimized cardiovascular risk profile to illustrate the modifiable residual risk. Additionally, the application used the patient’s risk profile to provide specific guidance for possible therapeutic interventions based on a novel algorithm. During an initial 3-month adoption phase, 1-time invitations were sent through email and telephone to 240 physicians that refer to a regional cardiovascular clinic. After 3 months, a survey of user experience was sent to all users. Following this, no further marketing of the application was performed. Google Analytics was collected postimplementation from January 2021 to December 2021. These were used to tabulate the total number of distinct users and the total number of monthly uses of the application. RESULTS: During the 1-year pilot, 47 of the 240 invited clinicians used the application 1573 times, an average of 131 times per month, with sustained usage over time. All 24 postimplementation survey respondents confirmed that the application was functional, easy to use, and useful. CONCLUSIONS: This pilot suggests that the STOP-CVD application is feasible and usable, with high clinician satisfaction. This tool can be easily scaled to support the uptake of guideline-directed medical therapy, which could improve clinical outcomes. Future research will be focused on evaluating the impact of this tool on clinician management and patient outcomes. JMIR Publications 2023-08-03 /pmc/articles/PMC10436122/ /pubmed/37535400 http://dx.doi.org/10.2196/46533 Text en ©Avinash Pandey, Marie Michelle D'Souza, Amritanshu Shekhar Pandey, Hassan Mir. Originally published in JMIR Cardio (https://cardio.jmir.org), 03.08.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cardio, is properly cited. The complete bibliographic information, a link to the original publication on https://cardio.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Pandey, Avinash
D'Souza, Marie Michelle
Pandey, Amritanshu Shekhar
Mir, Hassan
A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study
title A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study
title_full A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study
title_fullStr A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study
title_full_unstemmed A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study
title_short A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study
title_sort web-based application for risk stratification and optimization in patients with cardiovascular disease: pilot study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436122/
https://www.ncbi.nlm.nih.gov/pubmed/37535400
http://dx.doi.org/10.2196/46533
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