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ScaleMed: A Methodology for Iterative mHealth Clinical Trials

机译:Scalemed:迭代MHealth临床试验的方法论

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mHealth, which involves using smartphones as a tool for healthcare monitoring and delivery, continues to gain traction worldwide. As a result, new pilot programs and clinical trials continue to be launched to establish clinical evidence. However, the continual need for software changes between iterations of the trial creates a lengthy time loop between clinical researchers requesting a change and software developers implementing the requested change. We propose a new methodology for performing clinical trials, called ScaleMed. The ScaleMed methodology involves decoupling low-level app functionality from high-level trial-related operational parameters, a common software development practice. By utilizing a centralized website that allows clinical researchers to rapidly update these trial parameters, iterative clinical trials have the potential to move at a much faster rate than in current practice. We demonstrate an example of the ScaleMed methodology applied to an ongoing mental health trial (codenamed Lucy). In addition, we conducted a separate trial on the usability of the ScaleMed-enabled Lucy platform and found a predominantly positive response from the potential clinical users. In our limited trials, we showed that the time to make changes to app parameters was cut from weeks to less than a minute.
机译:MHealth,涉及使用智能手机作为医疗保健监控和交付的工具,继续在全球范围内获得牵引力。因此,继续推出新的试验计划和临床试验以建立临床证据。但是,试验迭代之间的软件变化的持续需求在临床研究人员之间延长了时间循环,要求改变和软件开发人员实施所请求的更改。我们提出了一种用于进行临床试验的新方法,称为Scalemed。 ScaleMed方法涉及从高级试用相关的操作参数解耦低级应用程序功能,这是一个常见的软件开发实践。通过利用允许临床研究人员迅速更新这些试验参数的集中式网站,迭代临床试验有可能以比目前的实践更快的速度移动。我们展示了应用于持续的心理健康审判(代号为Lucy)的解码方法的一个例子。此外,我们还对支持ScaleMed的Lucy平台的可用性进行了单独的试验,并发现了来自潜在临床用户的主要积极响应。在我们有限的试验中,我们表明,将应用程序参数更改的时间从数周削减到不到一分钟。

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