基于以用户为中心的方法,开发妊娠糖尿病预防系统(更好的怀孕)及其可接受性:临床可行性研究。

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
DIGITAL HEALTH Pub Date : 2024-08-08 eCollection Date: 2024-01-01 DOI:10.1177/20552076241266056
Beibei Duan, Zheyi Zhou, Mengdi Liu, Zhe Liu, Qianghuizi Zhang, Leyang Liu, Cunhao Ma, Baohua Gou, Weiwei Liu
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引用次数: 0

摘要

背景:妊娠糖尿病(GDM)会增加母婴出现不良后果的风险。预防性干预措施可有效帮助罹患 GDM 的孕妇。目前,孕妇对预防 GDM 的重要性认识不足,自我管理能力较低。近年来,移动医疗技术已在全球范围内得到应用。因此,开发一款用于预防 GDM 的移动医疗应用程序有可能帮助孕妇降低 GDM 的风险:设计和开发一款移动应用程序,评估其接受度,了解用户的使用体验和建议,从而提供一种有效的工具,帮助有 GDM 风险的孕妇提高自我管理能力,预防 GDM:方法:采用以用户为中心的设计方法,遵循健康信念模型,并结合 GDM 风险预测,开发了基于证据的 GDM 预防应用程序(优孕)。在 2022 年 6 月至 8 月期间,采用方便抽样法选取了 102 名有 GDM 风险的孕妇进行试点研究。一周后,我们使用应用程序接受度调查问卷对应用程序的接受度进行了评估,并根据妇女的反馈意见对应用程序进行了更新。我们使用 SPSS 26.0 进行了数据分析:该应用程序提供了多种功能,包括 GDM 风险预测、健康管理计划、行为管理、健康信息、个性化指导和咨询、同伴支持、家庭支持和其他功能。共有 102 名孕妇同意参与研究,保留率达 98%;但有 2%(n = 2)的孕妇退出了研究。更好怀孕 "应用程序的平均接受度为 4.07 分(满分为 5 分)。此外,参与者还提出了一些旨在改进该应用程序的建议:本研究开发的 "更好的怀孕 "应用程序可作为预防 GDM 的辅助管理工具,为后续的随机对照试验奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and acceptability of a gestational diabetes mellitus prevention system (Better pregnancy) based on a user-centered approach: A clinical feasibility study.

Background: Gestational diabetes mellitus (GDM) can increase the risk of adverse outcomes for both mothers and infants. Preventive interventions can effectively assist pregnant women suffering from GDM. At present, pregnant women are unaware of the importance of preventing GDM, and they possess a low level of self-management ability. Recently, mHealth technology has been used worldwide. Therefore, developing a mobile health app for GDM prevention could potentially help pregnant women reduce the risk of GDM.

Objective: To design and develop a mobile application, evaluate its acceptance, and understand the users'using experience and suggestions, thus providing a valid tool to assist pregnant women at risk of GDM in enhancing their self-management ability and preventing GDM.

Methods: An evidence-based GDM prevent app (Better pregnancy) was developed using user-centered design methods, following the health belief model, and incorporating GDM risk prediction. A convenient sampling method was employed from June to August 2022 to select 102 pregnant women at risk of GDM for the pilot study. After a week, the app's acceptability was evaluated using an application acceptance questionnaire, and we updated the app based on the feedback from the women. We used SPSS 26.0 for data analysis.

Results: The application offers various functionalities, including GDM risk prediction, health management plan, behavior management, health information, personalized guidance and consultation, peer support, family support, and other functions. In total, 102 pregnant women consented to participate in the study, achieving a retention rate of 98%; however, 2% (n = 2) withdrew. The Better pregnancy app's average acceptability score is 4.07 out of 5. Additionally, participants offered several suggestions aimed at enhancing the application.

Conclusions: The Better pregnancy app developed in this study can serve as an auxiliary management tool for the prevention of GDM, providing a foundation for subsequent randomized controlled trials.

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来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
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