Effectiveness of digital health interventions for chronic conditions management in European primary care settings: Systematic review and meta-analysis

IF 3.7 2区 医学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Medical Informatics Pub Date : 2025-02-01 DOI:10.1016/j.ijmedinf.2025.105820
Elisa Ambrosi , Elisabetta Mezzalira , Federica Canzan , Chiara Leardini , Giovanni Vita , Giulia Marini , Jessica Longhini
{"title":"Effectiveness of digital health interventions for chronic conditions management in European primary care settings: Systematic review and meta-analysis","authors":"Elisa Ambrosi ,&nbsp;Elisabetta Mezzalira ,&nbsp;Federica Canzan ,&nbsp;Chiara Leardini ,&nbsp;Giovanni Vita ,&nbsp;Giulia Marini ,&nbsp;Jessica Longhini","doi":"10.1016/j.ijmedinf.2025.105820","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The past decade has seen rapid digitalization of healthcare, significantly transforming healthcare delivery. However, the impact of these technologies remains unclear, with notable gaps in evidence regarding their effectiveness, especially in primary care settings.</div></div><div><h3>Objective</h3><div>This systematic review assesses the effectiveness of digital health interventions versus interventions without digital components implemented over the last 10 years in European primary care settings for managing chronic diseases.</div></div><div><h3>Methods</h3><div>Following Cochrane guidelines, we conducted a systematic review with <em>meta</em>-analysis. We searched multiple databases for randomized controlled trials. Inclusion criteria encompassed studies on digital health interventions for chronic disease management in primary care settings in Europe, evaluating outcomes such as hospitalizations, quality of life, and clinical measures. Data extraction and quality assessment were independently conducted by two authors, with discrepancies resolved by a third author. The certainty of the evidence was judged according to the Grading of Recommendations, Assessment, Development, and Evaluation approach.</div></div><div><h3>Results</h3><div>From 9829 records, 23 studies were included, with most studies conducted in the UK and Spain. The most investigated conditions were type 2 diabetes and hypertension. Interventions mainly focused on patient monitoring, self-care education, and digital communication tools. The risk of bias was low to moderate for most studies. Meta-analyses showed no significant differences between digital health interventions and usual care for hospitalizations, depressive symptoms, anxiety, HbA1c, diastolic blood pressure, weight, or quality of life, except for a small improvement in systolic blood pressure.</div></div><div><h3>Conclusion</h3><div>Digital health interventions have not yet demonstrated substantial benefits over traditional care for chronic disease management in European primary care. While some improvements were noted, particularly in systolic blood pressure, the impact remains limited. Further research is needed to enhance the effectiveness of digital health interventions, address current methodological limitations, and explore tailored approaches for both specific patient populations and multimorbid populations.</div></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"196 ","pages":"Article 105820"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386505625000371","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Background

The past decade has seen rapid digitalization of healthcare, significantly transforming healthcare delivery. However, the impact of these technologies remains unclear, with notable gaps in evidence regarding their effectiveness, especially in primary care settings.

Objective

This systematic review assesses the effectiveness of digital health interventions versus interventions without digital components implemented over the last 10 years in European primary care settings for managing chronic diseases.

Methods

Following Cochrane guidelines, we conducted a systematic review with meta-analysis. We searched multiple databases for randomized controlled trials. Inclusion criteria encompassed studies on digital health interventions for chronic disease management in primary care settings in Europe, evaluating outcomes such as hospitalizations, quality of life, and clinical measures. Data extraction and quality assessment were independently conducted by two authors, with discrepancies resolved by a third author. The certainty of the evidence was judged according to the Grading of Recommendations, Assessment, Development, and Evaluation approach.

Results

From 9829 records, 23 studies were included, with most studies conducted in the UK and Spain. The most investigated conditions were type 2 diabetes and hypertension. Interventions mainly focused on patient monitoring, self-care education, and digital communication tools. The risk of bias was low to moderate for most studies. Meta-analyses showed no significant differences between digital health interventions and usual care for hospitalizations, depressive symptoms, anxiety, HbA1c, diastolic blood pressure, weight, or quality of life, except for a small improvement in systolic blood pressure.

Conclusion

Digital health interventions have not yet demonstrated substantial benefits over traditional care for chronic disease management in European primary care. While some improvements were noted, particularly in systolic blood pressure, the impact remains limited. Further research is needed to enhance the effectiveness of digital health interventions, address current methodological limitations, and explore tailored approaches for both specific patient populations and multimorbid populations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Medical Informatics
International Journal of Medical Informatics 医学-计算机:信息系统
CiteScore
8.90
自引率
4.10%
发文量
217
审稿时长
42 days
期刊介绍: International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings. The scope of journal covers: Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.; Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc. Educational computer based programs pertaining to medical informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
期刊最新文献
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review AI-driven triage in emergency departments: A review of benefits, challenges, and future directions Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches The fading structural prominence of explanations in clinical studies Utilization, challenges, and training needs of digital health technologies: Perspectives from healthcare professionals
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1