智能手机应用程序对急性st段抬高型心肌梗死再灌注时间和临床结果的影响:系统回顾和荟萃分析

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
William Gibson, Dawoud Al Kindi, Elie Akl, Kshitij Badal Dandona, Jean-Philippe Pelletier, Nicolo Piazza, Ali Zgheib, Giuseppe Martucci, Marco Spaziano
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引用次数: 0

摘要

背景:基于智能手机和平板电脑的应用程序越来越多地用于急性st段抬高型心肌梗死(STEMI)的管理,目的是提高护理效率。这些应用程序通过单一平台促进了团队协作,实现了临床数据、到达时间的安全共享,并实现了数据存储和处理功能。与传统的通信方法相比,这些技术在减少再灌注时间和改善临床和治疗结果方面的潜力是有希望的。目的:本研究旨在评估基于智能手机的干预措施在减少STEMI护理途径中从门到球囊(D2B)时间、首次医疗接触到球囊(FMC2B)时间、死亡率和假激活率方面的有效性。方法:本综述遵循PRISMA指南和PICO框架作为入选标准。如果将智能手机或平板电脑干预与STEMI管理的常规护理进行比较,则纳入研究,重点关注D2B时间、FMC2B时间、短期死亡率和错误激活率。通过MEDLINE、Embase和谷歌Scholar对2008年至2024年间发表的研究进行了系统的文献检索。研究包括使用专用软件或商业上可用的即时通讯应用程序,使数字ECG传输和提供者之间的实时通信成为可能。协议注册到PROSPERO (CRD42023481024)。使用SPSS (IBM)进行数据综合,对连续和二元结果进行随机效应荟萃分析。结果:剔除重复后,共纳入903篇文献,共纳入21项研究,涉及3267例患者。研究的设计各不相同:14项是回顾性的,7项是前瞻性的,在12个国家进行。13项研究评估了专用应用程序,8项研究使用了即时通讯平台,如WhatsApp (Meta平台公司)和微信(腾讯控股有限公司)。干预组的主要终点D2B时间显著减少(平均差值为-19.11 min, 95% CI为-26.22至-12.00)。结论:基于智能手机的干预显著减少STEMI护理通路的再灌注时间。数字技术可以提高STEMI管理的效率,特别是在资源较低的卫生保健基础设施中。未来的研究应探讨对长期结果的影响,并调查治疗效果的地区差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis.

Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis.

Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis.

Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis.

Background: Smartphone- and tablet-based apps have been increasingly used in the management of acute ST-segment elevation myocardial infarction (STEMI), with the goal of enhancing care efficiency. These apps facilitate improved team coordination through a single platform, enabling secure sharing of clinical data, arrival times, and enabling data storage and processing capabilities. The potential of these technologies to reduce reperfusion times and improve both clinical and process outcomes, compared to traditional communication methods, is promising.

Objective: This study aimed to evaluate the effectiveness of smartphone-based interventions in reducing door-to-balloon (D2B) time, first medical contact-to-balloon (FMC2B) time, mortality, and false activation rates in STEMI care pathways.

Methods: This review followed the PRISMA guidelines and the PICO framework for eligibility criteria. Studies were included if they compared smartphone- or tablet-enabled interventions with usual care for STEMI management, focusing on D2B time, FMC2B time, short-term mortality, and false activation rates. A systematic literature search was conducted across MEDLINE, Embase, and Google Scholar for studies published between 2008 and 2024. Studies using purpose-built software or commercially available instant messaging apps that enabled digital ECG transfer and real-time communication between providers were included. The protocol was registered with PROSPERO (CRD42023481024). Data synthesis was performed using SPSS (IBM) with random-effects meta-analysis for continuous and binary outcomes.

Results: A total of 903 articles were identified after removing duplicates, and 21 studies, involving 3267 patients, were included. Studies varied in design: 14 being retrospective and 7 prospective, conducted across 12 countries. Thirteen studies evaluated dedicated apps, and 8 used instant messaging platforms such as WhatsApp (Meta Platforms Inc) and WeChat (Tencent Holdings Ltd). The primary outcome, D2B time, showed a significant reduction in the intervention group (mean difference -19.11 mins, 95% CI -26.22 to -12.00; P<.01), with substantial heterogeneity (I²=89%). A similar reduction in FMC2B time was observed (mean difference -19.85 minutes, 95% CI -29.45 to -20.25; P=.01). Subgroup analysis indicated a more pronounced reduction in D2B time in low-income countries compared to high-income countries. There were no significant differences regarding short-term mortality (risk difference -0.03, 95% CI -0.07 to 0.01; P=.10). False activation rates were evaluated in 7 studies, with varying results, but no pooled analysis was feasible due to differences in definitions and study design. The health care setting (ie, low- or high-income countries) was the most significant factor contributing to the observed heterogeneity in the meta-regression analysis.

Conclusions: Smartphone-based interventions significantly reduce reperfusion times in STEMI care pathways. Digital technology can improve the efficiency of STEMI management, particularly with lower-resource health care infrastructure. Future studies should explore the impact on long-term outcomes and investigate regional differences in treatment effects.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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