University of Oulu

Eunice Agyei, Jouko Miettunen & Harri Oinas-Kukkonen (2023) Effective interventions and features for coronary heart disease: a meta-analysis, Behaviour & Information Technology, DOI: 10.1080/0144929X.2023.2213342

Effective interventions and features for coronary heart disease : a meta-analysis

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Author: Agyei, Eunice1; Miettunen, Jouko2,3; Oinas-Kukkonen, Harri1
Organizations: 1Oulu Advanced Research on Service and Information Systems, University of Oulu, Oulu, Finland
2Research Unit of Population Health,University of Oulu, Oulu, Finland
3Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 4.1 MB)
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Language: English
Published: Informa, 2023
Publish Date: 2023-06-02


Systems designed with persuasive software features can influence users to adopt attitudes and/or behaviours that contribute to better health outcomes. Studies on Coronary Heart Disease (CHD) interventions have shown how they can be used to support lifestyle changes. Meta-analytic reviews of randomised controlled trials (RCTs) are needed to appraise, summarise, and show their effects on health. To this end, we investigated the effectiveness of digital health interventions (DHI) designed for CHD and examined the impact of persuasive features in the DHIs. We performed a systematic search using three academic databases for scientific papers on CHD and digital interventions from 2010 to 2020, yielding 1556 papers. The systematic review and meta-analysis included 12 RCTs after screening. Our findings show that digital health interventions had an impact on diastolic blood pressure, systolic blood pressure, low-density lipoprotein, high-density lipoprotein, total cholesterol, glycated haemoglobin, glucose, triglyceride, heart rate, and depression but not body mass index. We present effective interventions and insights into persuasive software features that were associated with effective DHIs. More research is needed to investigate the effectiveness of persuasive features in other contexts and other factors that can impact the effectiveness of DHIs.

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Series: Behaviour & information technology
ISSN: 0144-929X
ISSN-E: 1362-3001
ISSN-L: 0144-929X
Issue: Online first
DOI: 10.1080/0144929x.2023.2213342
Type of Publication: A2 Review article in a scientific journal
Field of Science: 113 Computer and information sciences
Copyright information: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.