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Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease
BACKGROUND: Complexity of therapies for atherosclerotic cardiovascular disease (ASCVD) risk reduction represents a challenge for clinicians and may lead to poor uptake of these therapies. PURPOSE: The goal of this project was to design an easy-to-use, point-of-care tool to risk stratify ASCVD patien...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779884/ http://dx.doi.org/10.1093/ehjdh/ztac076.2825 |
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author | Pandey, A Pandey, A S Mir, H |
author_facet | Pandey, A Pandey, A S Mir, H |
author_sort | Pandey, A |
collection | PubMed |
description | BACKGROUND: Complexity of therapies for atherosclerotic cardiovascular disease (ASCVD) risk reduction represents a challenge for clinicians and may lead to poor uptake of these therapies. PURPOSE: The goal of this project was to design an easy-to-use, point-of-care tool to risk stratify ASCVD patients and provide individualized guidance for clinicians to incorporate these agents. METHODS: Based on the REACH registry trial and predictive modeling (including 49,689 patients with ASCVD in 44 countries), we designed and implemented an app for secondary risk assessment. Using demographic and comorbidity profiles, this tool was used to calculate an individual's 20-month risk of cardiovascular events and mortality. It also provided graphical comparison to an age-matched control with optimized cardiovascular risk profile to illustrate the modifiable residual risk. The app then utilized the patient's risk profile to provide specific guidance for possible therapeutic interventions SGLT2-inhibitors, GLP1-agonists, PCSK9-inhibitors, Vascular-dose Rivaroxaban, and Icosapent Ethyl. Additionally, it identified individuals who qualified for cardiac rehabilitation or may benefit from smoking cessation interventions, including counselling or pharmacological therapies. We launched a pilot test of the “Residual Cardiovascular Risk: Assessment and Management Guide” app at a regional cardiac center. 240 referring physicians (including family doctors, emergency physicians, internists, and cardiologists) were invited by email or fax to utilize the app. Feedback was solicited from all users three months into the test period. Following this, no further marketing of the app was performed for all users. Usage data was recorded using Google Analytics over a 12-month period and analyzed in 4-month increments. RESULTS: From January to December 2021, our app was used to risk stratify 1576 patients. A total of 47 individual users utilized the app over this period. From January to April, the app was used on average 160 times monthly. From May to August, it was used 115 times monthly. From September to December, it was used 118 times monthly. Twenty-four physicians provided feedback; 100% affirmed the functionality, ease of use, and utility of the tool. The app was described as “useful for discussions with patients”, “helpful to optimize patients” and “similar to a mini-cardiology consult”. User suggestions resulted in further improvements to the app, including integration of reports into Electronic Medical Records. CONCLUSIONS: The early success of this app demonstrates a need for simple, accessible, and individualized guidance for management of ASCVD patients to improve uptake of guideline-based medical therapies. This tool demonstrates sustained usage among clinicians, as well as subjective utility in aiding therapeutic decision making. Future clinical research will focus on the ability of this tool to impact physician prescribing patterns and clinical outcomes. FUNDING ACKNOWLEDGEMENT: Type of funding sources: None. |
format | Online Article Text |
id | pubmed-9779884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97798842023-01-27 Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease Pandey, A Pandey, A S Mir, H Eur Heart J Digit Health Abstracts BACKGROUND: Complexity of therapies for atherosclerotic cardiovascular disease (ASCVD) risk reduction represents a challenge for clinicians and may lead to poor uptake of these therapies. PURPOSE: The goal of this project was to design an easy-to-use, point-of-care tool to risk stratify ASCVD patients and provide individualized guidance for clinicians to incorporate these agents. METHODS: Based on the REACH registry trial and predictive modeling (including 49,689 patients with ASCVD in 44 countries), we designed and implemented an app for secondary risk assessment. Using demographic and comorbidity profiles, this tool was used to calculate an individual's 20-month risk of cardiovascular events and mortality. It also provided graphical comparison to an age-matched control with optimized cardiovascular risk profile to illustrate the modifiable residual risk. The app then utilized the patient's risk profile to provide specific guidance for possible therapeutic interventions SGLT2-inhibitors, GLP1-agonists, PCSK9-inhibitors, Vascular-dose Rivaroxaban, and Icosapent Ethyl. Additionally, it identified individuals who qualified for cardiac rehabilitation or may benefit from smoking cessation interventions, including counselling or pharmacological therapies. We launched a pilot test of the “Residual Cardiovascular Risk: Assessment and Management Guide” app at a regional cardiac center. 240 referring physicians (including family doctors, emergency physicians, internists, and cardiologists) were invited by email or fax to utilize the app. Feedback was solicited from all users three months into the test period. Following this, no further marketing of the app was performed for all users. Usage data was recorded using Google Analytics over a 12-month period and analyzed in 4-month increments. RESULTS: From January to December 2021, our app was used to risk stratify 1576 patients. A total of 47 individual users utilized the app over this period. From January to April, the app was used on average 160 times monthly. From May to August, it was used 115 times monthly. From September to December, it was used 118 times monthly. Twenty-four physicians provided feedback; 100% affirmed the functionality, ease of use, and utility of the tool. The app was described as “useful for discussions with patients”, “helpful to optimize patients” and “similar to a mini-cardiology consult”. User suggestions resulted in further improvements to the app, including integration of reports into Electronic Medical Records. CONCLUSIONS: The early success of this app demonstrates a need for simple, accessible, and individualized guidance for management of ASCVD patients to improve uptake of guideline-based medical therapies. This tool demonstrates sustained usage among clinicians, as well as subjective utility in aiding therapeutic decision making. Future clinical research will focus on the ability of this tool to impact physician prescribing patterns and clinical outcomes. FUNDING ACKNOWLEDGEMENT: Type of funding sources: None. Oxford University Press 2022-12-22 /pmc/articles/PMC9779884/ http://dx.doi.org/10.1093/ehjdh/ztac076.2825 Text en Reproduced from: European Heart Journal, Volume 43, Issue Supplement_2, October 2022, ehac544.2825, https://doi.org/10.1093/eurheartj/ehac544.2825 by permission of Oxford University Press on behalf of the European Society of Cardiology. The opinions expressed in the Journal item reproduced as this reprint are those of the authors and contributors, and do not necessarily reflect those of the European Society of Cardiology, the editors, the editorial board, Oxford University Press or the organization to which the authors are affiliated. The mention of trade names, commercial products or organizations, and the inclusion of advertisements in this reprint do not imply endorsement by the Journal, the editors, the editorial board, Oxford University Press or the organization to which the authors are affiliated. The editors and publishers have taken all reasonable precautions to verify drug names and doses, the results of experimental work and clinical findings published in the Journal. The ultimate responsibility for the use and dosage of drugs mentioned in this reprint and in interpretation of published material lies with the medical practitioner, and the editors and publisher cannot accept liability for damages arising from any error or omissions in the Journal or in this reprint. Please inform the editors of any errors. © The Author(s) 2022. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Pandey, A Pandey, A S Mir, H Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease |
title | Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease |
title_full | Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease |
title_fullStr | Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease |
title_full_unstemmed | Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease |
title_short | Sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease |
title_sort | sustained usage of an app-based clinical-decision making aid for the management of atherosclerotic cardiovascular disease |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779884/ http://dx.doi.org/10.1093/ehjdh/ztac076.2825 |
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