• Mojgan Ghavami, Alireza Abdshah, Saeed Sadeghian, Ayat Ahmadi, Mohammad Sajad Jolani, Diba Akbarzadeh, and Fateme Haji Ali Asgari.
• Cardiovascular Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
• Arch Iran Med. 2024 Jun 1; 27 (6): 313322313-322.

BackgroundCardiovascular disease (CVD) is a major global health concern, the leading cause of death and disability. Thus, preventive interventions targeting modifiable risk factors are essential. Mobile-health technologies have emerged as promising tools for improving prevention by modifying risk factors. We created the "Green Heart" mobile app to help coronary artery disease (CAD) patients control their risk factors. The app has three modules: smoking cessation, dyslipidemia (DLP) control, and blood pressure (BP) management. This study evaluated the app's performance in monitoring hypertension (HTN) and DLP among known CAD cases.MethodsA randomized controlled trial enrolled 1590 CAD subjects, including 1114 hypertensive patients and 1488 subjects with DLP, and assigned them randomly to paper-based education or application-based groups.ResultsRegarding HTN, after 6 months, we finally analyzed 545 and 546 hypertensive patients, assigned to the conventional and app groups, respectively. Patients in the app group were more likely to have their BP managed successfully (88.6% vs. 78.5%; P<0.001). The app group showed higher odds of successful BP management (odds ratio [OR]: 2.13; 95% CI: 1.51 - 3.03). Regarding DLP, we analyzed 728 patients in the conventional and 714 patients in the app group. A higher percentage of patients in the app group (24.8%) had low-density lipoprotein cholesterol (LDL-C) levels less than 70 mg/dL (16.1%; P<0.001). The app group showed higher odds of reducing LDL-C (OR: 1.72; 95% CI: 1.32-2.26).ConclusionWe found that using the Green Heart app in the self-monitoring setting significantly improved BP and DLP management across the study population.© 2024 The Author(s). 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 is properly cited.

28 keywords...

hide…