Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review.

Q2 Medicine JMIR Diabetes Pub Date : 2022-11-21 DOI:10.2196/38910
Suzanne Smyth, Eimear Curtin, Elizabeth Tully, Zara Molphy, Fionnuala Breathnach
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Abstract

Background: Developments and evolutions in the information and communication technology sector have provided a solid foundation for the emergence of mobile health (mHealth) in recent years. The cornerstone to management of gestational diabetes mellitus (GDM) is the self-management of glycemic indices, dietary intake, and lifestyle adaptations. Given this, it is readily adaptable to incorporation of remote monitoring strategies involving mHealth solutions.

Objective: We sought to examine and assess the available smartphone apps which enable self-monitoring and remote surveillance of GDM with a particular emphasis on the generation of individualized patient feedback.

Methods: Five databases were searched systematically for any studies evaluating mHealth-supported smartphone solutions for GDM management from study inception until January 2022. The studies were screened and assessed for eligibility of inclusion by 2 independent reviewers. Ultimately, 17 studies were included involving 1871 patients across 11 different countries. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) conceptual framework was adhered to for data extraction and categorization purposes.

Results: All studies analyzed as part of this review facilitated direct uploading of data from the handheld glucometer to the downloaded patient-facing smartphone app. Glycemic data were captured by all studies and were reassuringly found to be either improved or noninferior to extant models of hospital-based care. Feedback was delivered in either an automated fashion through in-app communication from the health care team or facilitated through bidirectional communication with the app and hospital portal. Although resource utilization and cost-effective analyses were reported in some studies, the results were disparate and require more robust analysis. Where patient and staff satisfaction levels were evaluated, the response was overwhelmingly positive for mHealth smartphone-delivered care strategies. Emergency cesarean section rates were reduced; however, elective cesarean sections were comparatively increased among studies where the mode of delivery was assessed. Most reviewed studies did not identify any differences in maternal, perinatal, or neonatal health when app-based care was compared with usual in-person review.

Conclusions: This comprehensive scoping review highlights the feasibility, reliability, and acceptability of app-assisted health care for the management of GDM. Although further exploration of the economic benefit is required prior to implementation in a real-world clinical setting, the prospect of smartphone-assisted health care for GDM is hugely promising.

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用于监测妊娠糖尿病的智能手机应用程序:范围审查。
背景:近年来,信息和通信技术领域的发展和演变为移动医疗(mHealth)的出现奠定了坚实的基础。妊娠糖尿病(GDM)管理的基石是血糖指数、饮食摄入和生活方式调整的自我管理。有鉴于此,它很容易与涉及移动医疗解决方案的远程监控策略相结合:我们试图研究和评估现有的智能手机应用程序,这些应用程序可对 GDM 进行自我监测和远程监控,尤其侧重于生成个性化的患者反馈:我们对五个数据库进行了系统性检索,以查找自研究开始至 2022 年 1 月期间评估移动医疗支持的 GDM 管理智能手机解决方案的任何研究。由两名独立审查员对这些研究进行筛选和评估,以确定是否符合纳入条件。最终纳入了 17 项研究,涉及 11 个不同国家的 1871 名患者。在进行数据提取和分类时,遵循了PRISMA-ScR(系统性综述和Meta分析的首选报告项目扩展,用于范围界定综述)概念框架:作为本综述一部分进行分析的所有研究均可将数据从手持血糖仪直接上传到下载的面向患者的智能手机应用程序。所有研究都采集了血糖数据,而且令人欣慰的是,与现有的医院护理模式相比,这些数据要么有所改进,要么没有劣势。反馈是通过医疗团队的应用程序内通信自动提供的,或者是通过应用程序和医院门户网站的双向通信提供的。虽然一些研究报告了资源利用率和成本效益分析,但结果各不相同,需要进行更有力的分析。在对患者和员工满意度进行评估时,移动医疗智能手机提供的护理策略得到了绝大多数人的肯定。急诊剖腹产率有所下降;但在对分娩方式进行评估的研究中,择期剖腹产率相对有所上升。大多数综述研究并未发现,与通常的面对面审查相比,基于应用程序的护理在孕产妇、围产期或新生儿健康方面存在任何差异:这项全面的范围界定综述强调了应用辅助医疗保健管理 GDM 的可行性、可靠性和可接受性。尽管在实际临床环境中实施前需要进一步探讨经济效益,但智能手机辅助的 GDM 健康护理前景十分广阔。
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来源期刊
JMIR Diabetes
JMIR Diabetes Computer Science-Computer Science Applications
CiteScore
4.00
自引率
0.00%
发文量
35
审稿时长
16 weeks
期刊最新文献
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