Department of Chemistry, Vanderbilt University, Nashville, TN, United States.
Macha Research Trust, Choma, Zambia.
JMIR Mhealth Uhealth. 2020 Jul 28;8(7):e18413. doi: 10.2196/18413.
Mobile health (mHealth) interventions have the potential to transform the global health care landscape. The processing power of mobile devices continues to increase, and growth of mobile phone use has been observed worldwide. Uncertainty remains among key stakeholders and decision makers as to whether global health interventions can successfully tap into this trend. However, when correctly implemented, mHealth can reduce geographic, financial, and social barriers to quality health care.
The aim of this study was to design and test Beacon, a mobile phone-based tool for evaluating mHealth readiness in global health interventions. Here, we present the results of an application validation study designed to understand the mobile network landscape in and around Macha, Zambia, in 2019.
Beacon was developed as an automated mobile phone app that continually collects spatiotemporal data and measures indicators of network performance. Beacon was used in and around Macha, Zambia, in 2019. Results were collected, even in the absence of network connectivity, and asynchronously uploaded to a database for further analysis.
Beacon was used to evaluate three mobile phone networks around Macha. Carriers A and B completed 6820/7034 (97.0%) and 6701/7034 (95.3%) downloads and 1349/1608 (83.9%) and 1431/1608 (89.0%) uploads, respectively, while Carrier C completed only 62/1373 (4.5%) file downloads and 0/1373 (0.0%) file uploads. File downloads generally occurred within 4 to 12 seconds, and their maximum download speeds occurred between 2 AM and 5 AM. A decrease in network performance, demonstrated by increases in upload and download durations, was observed beginning at 5 PM and continued throughout the evening.
Beacon was able to compare the performance of different cellular networks, show times of day when cellular networks experience heavy loads and slow down, and identify geographic "dead zones" with limited or no cellular service. Beacon is a ready-to-use tool that could be used by organizations that are considering implementing mHealth interventions in low- and middle-income countries but are questioning the feasibility of the interventions, including infrastructure and cost. It could also be used by organizations that are looking to optimize the delivery of an existing mHealth intervention with improved logistics management.
移动医疗(mHealth)干预措施有可能改变全球医疗保健格局。移动设备的处理能力不断提高,全球范围内移动电话的使用也在增长。主要利益相关者和决策者仍不确定全球卫生干预措施是否能够成功利用这一趋势。然而,当正确实施时,mHealth 可以减少获得高质量医疗保健的地理、财务和社会障碍。
本研究旨在设计和测试 Beacon,这是一种用于评估全球卫生干预措施中 mHealth 准备情况的基于移动电话的工具。在这里,我们介绍了一项应用验证研究的结果,该研究旨在了解 2019 年赞比亚马查周围的移动网络景观。
Beacon 被开发为一种自动移动电话应用程序,它不断收集时空数据并衡量网络性能指标。Beacon 于 2019 年在赞比亚马查及其周边地区使用。即使在没有网络连接的情况下,也会收集结果,并异步上传到数据库进行进一步分析。
Beacon 用于评估马查周围的三个移动电话网络。运营商 A 和 B 分别完成了 6820/7034(97.0%)和 6701/7034(95.3%)的下载以及 1349/1608(83.9%)和 1431/1608(89.0%)的上传,而运营商 C 仅完成了 62/1373(4.5%)的文件下载和 0/1373(0.0%)的文件上传。文件下载通常在 4 到 12 秒内完成,最大下载速度在凌晨 2 点到 5 点之间。从下午 5 点开始,网络性能下降(表现为上传和下载持续时间增加),并持续整个晚上。
Beacon 能够比较不同蜂窝网络的性能,显示蜂窝网络负载较重和速度较慢的时间,并识别具有有限或无蜂窝服务的地理“死区”。Beacon 是一个即用型工具,可供正在考虑在低收入和中等收入国家实施 mHealth 干预措施但对干预措施的可行性(包括基础设施和成本)存在疑问的组织使用。它还可以供正在寻求通过改进物流管理来优化现有 mHealth 干预措施交付的组织使用。