An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions-Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes.
An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions-Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes.
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用于创建包容性和个性化移动医疗解决方案的循证框架 - 为符合医疗补助资格、患有不受控制的 2 型糖尿病的孕妇设计解决方案。
作者：
移动的健康（mHealth）应用程序可以成为改善健康行为和结果的循证方法。先前的文献强调需要对mHealth个性化进行更多的研究，包括糖尿病和怀孕。移动医疗应用程序的个性化对患者参与度的影响存在重大差距，反过来，健康行为和结果。考虑到这些人群中的mHealth设计的历史疏忽，在为服务不足的人群设计mHealth时，关于个性化，参与和健康结果如何对齐的证据是非常需要的。这一观点的动机是我们设计个性化移动健康解决方案的经验，该解决方案专注于医疗补助注册的患有不受控制的2型糖尿病的孕妇，其中许多人也经历了社会需求的高负担。我们描述了设计的mHealth解决方案，这是包容性和个性化的基本组成部分，形成了一个基于证据的框架，未来的mHealth设计在其他疾病状态与类似的情况下的基础。
Mobile health (mHealth) apps can be an evidence-based approach to improve health behavior and outcomes. Prior literature has highlighted the need for more research on mHealth personalization, including in diabetes and pregnancy. Critical gaps exist on the impact of personalization of mHealth apps on patient engagement, and in turn, health behaviors and outcomes. Evidence regarding how personalization, engagement, and health outcomes could be aligned when designing mHealth for underserved populations is much needed, given the historical oversights with mHealth design in these populations. This viewpoint is motivated by our experience from designing a personalized mHealth solution focused on Medicaid-enrolled pregnant individuals with uncontrolled type 2 diabetes, many of whom also experience a high burden of social needs. We describe fundamental components of designing mHealth solutions that are both inclusive and personalized, forming the basis of an evidence-based framework for future mHealth design in other disease states with similar contexts.