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Effective interventions and features for coronary heart disease

A meta-analysis

Bibliographic Data

ID21452352
AuthorsEunice Agyei (0009-0003-2686-7972, Oulu Advanced Research on Service and Information Systems, University of Oulu, Oulu, Finland), Eunice Eno Yaa Frimponmaa Agyei (0000-0002-2011-0659, University of Oulu, corresponding author), Jouko Miettunen (0000-0003-0575-2669, Research Unit of Population Health, University of Oulu, Oulu, Finland), Harri Oinas‐Kukkonen (0000-0002-1442-0562, University of Oulu), Harri Oinas-Kukkonen (Oulu Advanced Research on Service and Information Systems, University of Oulu, Oulu, Finland)
Year2024
Volume43
Issue7
Pages1429-1445
Publication date2024-05-18
Open AccessYes
TypeARTICLE
VenueBehaviour and Information Technology (JOURNAL)
Journal identifiersISSN: 0144-929X • E-ISSN: 1362-3001
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0144929x.2023.2213342
OpenAlexW4377138477
LanguageEN
Citations received1
References cited45

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

Blood pressure · Body mass index · Intensive care medicine · Meta-analysis · Physical therapy · Psychological intervention · Randomized controlled trial · Behavioral Health and Interventions · Digital Mental Health Interventions · Internal Medicine · Medicine · Mobile Health and mHealth Applications · Nursing

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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