尼泊尔妊娠糖尿病管理移动应用程序的开发与测试:以用户为中心的设计研究和探索性随机对照试验方案》。

IF 1.4 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Research Protocols Pub Date : 2024-10-21 DOI:10.2196/59423
Lauren T Berube, Archana Shrestha, Abha Shrestha, Jean-Francois Daneault, Prabin Raj Shakya, Meghnath Dhimal, Roman Shrestha, Shristi Rawal
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引用次数: 0

摘要

背景:妊娠糖尿病(GDM)的发病率正在上升,尤其是在尼泊尔等中低收入国家。妊娠糖尿病的自我管理,包括强化饮食和生活方式的调整以及血糖监测,对于维持血糖控制和预防不良后果至关重要。然而,在资源有限的环境中,一些障碍阻碍了最佳的自我管理。移动医疗(mHealth)技术有望成为通过促进健康行为和支持自我管理来加强 GDM 治疗的一种策略,但这种方法尚未在任何低收入和中等收入国家进行过测试:本报告介绍了开发一款支持 GDM 自我管理和治疗的、符合当地文化的移动医疗应用程序(GDM-Dhulikhel 医院 [GDM-DH] 应用程序,第一阶段)的方案,以及在尼泊尔城郊医院环境中的 GDM 患者中测试其可用性和初步疗效(第二阶段)的方案:研究将在尼泊尔 Dhulikhel 的 Dhulikhel 医院进行。在开发阶段(第 1 阶段),将根据专家评审和以用户为中心的设计方法开发 GDM-DH 应用程序原型。为了解 GDM 自我管理的促进因素和障碍,并收集对原型的反馈意见,将对 GDM 患者(12 人)、医疗服务提供者(5 人)和家庭成员(3 人)进行焦点小组讨论和深入访谈,如果未达到饱和,计划进一步招募人员。反馈意见将被用于开发最小可行产品,该产品将在 18 名 GDM 患者中使用 "畅想协议 "进行用户测试。最终的 GDM-DH 应用程序将根据用户反馈,按照迭代产品设计和用户测试流程进行开发。在随机对照试验阶段(第 2 阶段),将招募新确诊的 GDM 患者(n=120),并随机分配其在妊娠 24-30 周至分娩期间接受标准护理或标准护理加 GDM-DH 应用程序。在这项概念验证试验中,可行性结果将包括应用程序的使用率、自我监测的依从性以及应用程序的可用性和可接受性。探索性治疗结果将包括产妇在产后 6 周的血糖控制情况、出生体重、引产率和剖宫产率。第 1 阶段获得的定性数据将采用专题分析法进行分析。在第 2 阶段,将采用独立的双尾 t 检验或卡方分析来检验两种治疗条件下的结果差异:截至 2024 年 7 月,我们已完成第 1 阶段。第二阶段正在进行中。第一名参与者于 2021 年 10 月注册,截至 2024 年 7 月已有 99 名参与者注册。我们预计将于 2024 年 12 月完成招募,并于 2025 年 12 月发布研究结果:结论:在 GDM 发病率迅速上升的低收入国家,基于应用程序的 GDM 管理生活方式干预并不常见。这项概念验证试验将为利用移动医疗应用程序平台进行 GDM 自我管理的潜力提供有价值的见解:试验注册:ClinicalTrials.gov NCT04198857;https://clinicaltrials.gov/study/NCT04198857.International 注册报告标识符 (irrid):DERR1-10.2196/59423。
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Development and Testing of a Mobile App for Management of Gestational Diabetes in Nepal: Protocol for a User-Centered Design Study and Exploratory Randomized Controlled Trial.

Background: The prevalence of gestational diabetes mellitus (GDM) is increasing, particularly in low- and middle-income countries (LMICs) like Nepal. GDM self-management, including intensive dietary and lifestyle modifications and blood glucose monitoring, is critical to maintain glycemic control and prevent adverse outcomes. However, in resource-limited settings, several barriers hinder optimal self-management. Mobile health (mHealth) technology holds promise as a strategy to augment GDM treatment by promoting healthy behaviors and supporting self-management, but this approach has not yet been tested in any LMIC.

Objective: This report describes the protocol to develop a culturally tailored mHealth app that supports self-management and treatment of GDM (GDM-Dhulikhel Hospital [GDM-DH] app, phase 1) and test its usability and preliminary efficacy (phase 2) among patients with GDM in a periurban hospital setting in Nepal.

Methods: The study will be conducted at Dhulikhel Hospital in Dhulikhel, Nepal. In the development phase (phase 1), a prototype of the GDM-DH app will be developed based on expert reviews and a user-centered design approach. To understand facilitators and barriers to GDM self-management and to gather feedback on the prototype, focus groups and in-depth interviews will be conducted with patients with GDM (n=12), health care providers (n=5), and family members (n=3), with plans to recruit further if saturation is not achieved. Feedback will be used to build a minimum viable product, which will undergo user testing with 18 patients with GDM using a think-aloud protocol. The final GDM-DH app will be developed based on user feedback and following an iterative product design and user testing process. In the randomized controlled trial phase (phase 2), newly diagnosed patients with GDM (n=120) will be recruited and randomized to either standard care alone or standard care plus the GDM-DH app from 24-30 weeks gestation until delivery. In this proof-of-concept trial, feasibility outcomes will be app usage, self-monitoring adherence, and app usability and acceptability. Exploratory treatment outcomes will be maternal glycemic control at 6 weeks post partum, birth weight, and rates of labor induction and cesarean delivery. Qualitative data obtained from phase 1 will be analyzed using thematic analysis. In phase 2, independent 2-tailed t tests or chi-square analyses will examine differences in outcomes between the 2 treatment conditions.

Results: As of July 2024, we have completed phase 1. Phase 2 is underway. The first participant was enrolled in October 2021, with 99 participants enrolled as of July 2024. We anticipate completing recruitment by December 2024 and disseminating findings by December 2025.

Conclusions: App-based lifestyle interventions for GDM management are not common in LMICs, where GDM prevalence is rapidly increasing. This proof-of-concept trial will provide valuable insights into the potential of leveraging mHealth app-based platforms for GDM self-management in LMICs.

Trial registration: ClinicalTrials.gov NCT04198857; https://clinicaltrials.gov/study/NCT04198857.

International registered report identifier (irrid): DERR1-10.2196/59423.

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CiteScore
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发文量
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12 weeks
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