Promoting patient self-management following cardiac rehabilitation using a web-based application: A pilot study

Author:

Stamm-Balderjahn Sabine1ORCID,Bernert Sebastian1ORCID,Rossek Susanne1

Affiliation:

1. Institute of Medical Sociology and Rehabilitation Science, Charité – Universitätsmedizin Berlin, Berlin, Germany

Abstract

Background The use of health-related mobile apps has become an important component of healthcare. Patients can use a range of tools to strengthen their health literacy and promote disease management. The aim of the project was to develop a web-based application for use on smartphones, tablets and computers for patients with cardiovascular diseases (cardio-app). Methods A semi-standardized written survey was conducted among rehabilitation patients with cardiovascular diseases ( n = 158). The usability of the cardio-app was assessed using the System Usability Scale (SUS). The usage behaviour was conducted with a self-developed questionnaire. Results The study enrolled 158 eligible rehabilitation patients. The SUS of the cardio-app determined was 74.4 (SD ± 17.4). For 86%, the menu navigation was self-explanatory and logical. The visual presentation appealed to 92% of respondents. The content of the texts used in the app was understandable for 95%, and 93% found the technical terms used in the glossary well explained. For 57%, the app was helpful in planning their physical activities. 83% of the rehabilitation patients would recommend the app to others. The main criticisms of the app were the lack of synchronization options with other apps. Of those who did not use the app, the following reasons for non-use were most frequently cited: too much effort (43%), lack of time (29%) and pandemic-related reasons (29%). Conclusions The cardio-app revealed high agreement values. Whether the use of the app is associated with improved clinical state and outcome would have to be verified in further studies.

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3