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SYSTEMATIC REVIEW article

Front. Cardiovasc. Med.
Sec. General Cardiovascular Medicine
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1420274
This article is part of the Research Topic The Role of Artificial Intelligence Technologies in Revolutionizing and Aiding Cardiovascular Medicine View all 6 articles

Mobile Health apps for cardiovascular risk assessment: A systematic review

Provisionally accepted
Fabian Chavez-Ecos Fabian Chavez-Ecos 1,2Rodrigo Chavez-Ecos Rodrigo Chavez-Ecos 1Carlos Vergara Sanchez Carlos Vergara Sanchez 3Miguel Chavez Gutarra Miguel Chavez Gutarra 4Anandita Agarwala Anandita Agarwala 5Kiara Camacho-Caballero Kiara Camacho-Caballero 1*
  • 1 CHANGE Research Working Group, Carrera de Medicina Humana, Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima, Peru
  • 2 Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru
  • 3 Department of Cardiovascular Disease, Mayo Clinic, Jacksonville, Florida, United States
  • 4 Facultad de Medicina Humana, Universidad Nacional San Luis Gonzaga, Ica, Peru
  • 5 Center for Cardiovascular Disease Prevention, Baylor Scott and White Health Heart Hospital Baylor Plano, Texas, United States

The final, formatted version of the article will be published soon.

    Introduction: mHealth apps (MHA) are emerging as promising tools for cardiovascular risk assessment, but few meet the standards required for clinical use. We aim to evaluate the quality and functionality of mHealth apps for cardiovascular risk assessment by healthcare professionals. Methods: We conducted a systematic review of MHA for cardiovascular risk assessment in the Apple Store, Play Store, and Microsoft Store until August 2023. Our eligibility criteria were based on the 2021 European Society Cardiology Guidelines on Cardiovascular Disease Prevention in Clinical Practice, the Framingham Risk Score, and the Atherosclerotic Cardiovascular Disease score. Our protocol was drafted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. To assess quality, we used the validated Mobile Apps Rating Scale (MARS) score, which includes 19 items across four objective scales (engagement, functionality, aesthetics, and information quality) and one additional subjective scale. For functionality evaluation, we used the IMS Institute for Healthcare Informatics functionality scale. We performed data synthesis by generating descriptive statistics. Results: A total of 18 MHA were included in the review. The most common scores used were the Framingham score, ASCVD score, and Score 2. Only six apps achieved an overall score of 4 or greater in the MARS evaluation. The MHA with the highest MARS score was ESC CVD Risk Calculation (5 points), followed by ASCVD Risk Estimator Plus (4.9 points). In the IMS scale, four MHA had a high functionality score: ASCVD Risk Estimator Plus (5 points), ESC CVD Risk Calculation (5 points), MDCalc Medical Calculator (4 points), and Calculate by QsMD (4 points). Discussion: A gap exists in the availability of high-quality MHA designed for healthcare professionals to facilitate shared decision-making in cardiovascular risk assessment.

    Keywords: Systematic review, Heart disease risk factors, Mobile applications (apps), Cardiology, Risk Assessment

    Received: 19 Apr 2024; Accepted: 15 Aug 2024.

    Copyright: © 2024 Chavez-Ecos, Chavez-Ecos, Vergara Sanchez, Chavez Gutarra, Agarwala and Camacho-Caballero. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Kiara Camacho-Caballero, CHANGE Research Working Group, Carrera de Medicina Humana, Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima, Peru

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.