Literature DB >> 27502855

Effects of interactive patient smartphone support app on drug adherence and lifestyle changes in myocardial infarction patients: A randomized study.

Nina Johnston1, Johan Bodegard2, Susanna Jerström2, Johanna Åkesson2, Hilja Brorsson3, Joakim Alfredsson4, Per A Albertsson5, Jan-Erik Karlsson6, Christoph Varenhorst7.   

Abstract

BACKGROUND: Patients with myocardial infarction (MI) seldom reach recommended targets for secondary prevention. This study evaluated a smartphone application ("app") aimed at improving treatment adherence and cardiovascular lifestyle in MI patients.
DESIGN: Multicenter, randomized trial.
METHODS: A total of 174 ticagrelor-treated MI patients were randomized to either an interactive patient support tool (active group) or a simplified tool (control group) in addition to usual post-MI care. Primary end point was a composite nonadherence score measuring patient-registered ticagrelor adherence, defined as a combination of adherence failure events (2 missed doses registered in 7-day cycles) and treatment gaps (4 consecutive missed doses). Secondary end points included change in cardiovascular risk factors, quality of life (European Quality of Life-5 Dimensions), and patient device satisfaction (System Usability Scale).
RESULTS: Patient mean age was 58 years, 81% were men, and 21% were current smokers. At 6 months, greater patient-registered drug adherence was achieved in the active vs the control group (nonadherence score: 16.6 vs 22.8 [P = .025]). Numerically, the active group was associated with higher degree of smoking cessation, increased physical activity, and change in quality of life; however, this did not reach statistical significance. Patient satisfaction was significantly higher in the active vs the control group (system usability score: 87.3 vs 78.1 [P = .001]).
CONCLUSIONS: In MI patients, use of an interactive patient support tool improved patient self-reported drug adherence and may be associated with a trend toward improved cardiovascular lifestyle changes and quality of life. Use of a disease-specific interactive patient support tool may be an appreciated, simple, and promising complement to standard secondary prevention.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27502855     DOI: 10.1016/j.ahj.2016.05.005

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  36 in total

Review 1.  Behaviour change techniques in cardiovascular disease smartphone apps to improve physical activity and sedentary behaviour: Systematic review and meta-regression.

Authors:  Kacie Patterson; Rachel Davey; Richard Keegan; Brea Kunstler; Andrew Woodward; Nicole Freene
Journal:  Int J Behav Nutr Phys Act       Date:  2022-07-07       Impact factor: 8.915

Review 2.  Clinical Status of Cardiac Rehabilitation Manners and Models.

Authors:  Wei Wei; Jingjie Zhao; Lingzhang Meng; Xi Wang; Hongdi Wei; Keji Nong; Jiahao Li; Zechen Wang; Jiajia Shen; Siyuan He; Lihua Yang
Journal:  Cardiol Res Pract       Date:  2022-06-27       Impact factor: 1.990

3.  Mobile app and digital system for patients after myocardial infarction (afterAMI): study protocol for a randomized controlled trial.

Authors:  Bartosz Krzowski; Michał Peller; Maria Boszko; Paulina Hoffman; Natalia Żurawska; Karolina Jaruga; Kamila Skoczylas; Gabriela Osak; Łukasz Kołtowski; Marcin Grabowski; Grzegorz Opolski; Paweł Balsam
Journal:  Trials       Date:  2022-06-21       Impact factor: 2.728

Review 4.  Mobile Health Technologies in Cardiopulmonary Disease.

Authors:  Grant E MacKinnon; Evan L Brittain
Journal:  Chest       Date:  2019-10-31       Impact factor: 9.410

5.  Processes and Recommendations for Creating mHealth Apps for Low-Income Populations.

Authors:  Laura Siga Stephan; Eduardo Dytz Almeida; Raphael Boesche Guimaraes; Antonio Gaudie Ley; Rodrigo Gonçalves Mathias; Maria Valéria Assis; Tiago Luiz Luz Leiria
Journal:  JMIR Mhealth Uhealth       Date:  2017-04-03       Impact factor: 4.773

Review 6.  Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis.

Authors:  Shahd Al-Arkee; Julie Mason; Deirdre A Lane; Larissa Fabritz; Winnie Chua; M Sayeed Haque; Zahraa Jalal
Journal:  J Med Internet Res       Date:  2021-05-25       Impact factor: 5.428

7.  Lifestyle and Treatment Adherence Intervention after a Coronary Event Based on an Interactive Web Application (EVITE): Randomized Controlled Clinical Trial Protocol.

Authors:  María Ángeles Bernal-Jiménez; Germán Calle-Pérez; Alejandro Gutiérrez-Barrios; Livia Gheorghe; Ana María Solano-Mulero; Amelia Rodríguez-Martín; Josep A Tur; Rafael Vázquez-García; María José Santi-Cano
Journal:  Nutrients       Date:  2021-05-27       Impact factor: 5.717

Review 8.  Chinese Cardiovascular Disease Mobile Apps' Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review.

Authors:  Bo Xie; Zhaohui Su; Wenhui Zhang; Run Cai
Journal:  JMIR Mhealth Uhealth       Date:  2017-12-14       Impact factor: 4.773

9.  Hospital-Owned Apps in Taiwan: Nationwide Survey.

Authors:  Hao-Yen Liu; Wui-Chiang Lee; Ying-Chou Sun; Jun-Jeng Fen; Tzeng-Ji Chen; Li-Fang Chou; Shinn-Jang Hwang
Journal:  JMIR Mhealth Uhealth       Date:  2018-01-16       Impact factor: 4.773

10.  The Effectiveness of Smartphone Apps for Lifestyle Improvement in Noncommunicable Diseases: Systematic Review and Meta-Analyses.

Authors:  Pernille Lunde; Birgitta Blakstad Nilsson; Astrid Bergland; Kari Jorunn Kværner; Asta Bye
Journal:  J Med Internet Res       Date:  2018-05-04       Impact factor: 5.428

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