Duan Beibei, Zhou Zheyi, Liu Mengdi, Liu Zhe, Zhang Qianghuizi, Liu Leyang, Ma Cunhao, Gou Baohua, Liu Weiwei
School of Nursing, Capital Medical University, Beijing, China.
Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Digit Health. 2024 Aug 8;10:20552076241266056. doi: 10.1177/20552076241266056. eCollection 2024 Jan-Dec.
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.
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.
An evidence-based GDM prevent app () 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.
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% ( = 2) withdrew. The app's average acceptability score is 4.07 out of 5. Additionally, participants offered several suggestions aimed at enhancing the application.
The 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.
妊娠期糖尿病(GDM)会增加母婴不良结局的风险。预防性干预措施可以有效帮助患有GDM的孕妇。目前,孕妇未意识到预防GDM的重要性,且自我管理能力水平较低。近年来,移动健康技术已在全球范围内得到应用。因此,开发一款用于GDM预防的移动健康应用程序可能有助于孕妇降低患GDM的风险。
设计并开发一款移动应用程序,评估其可接受性,了解用户的使用体验和建议,从而提供一个有效的工具,帮助有患GDM风险的孕妇提高自我管理能力并预防GDM。
采用以用户为中心的设计方法,遵循健康信念模型并纳入GDM风险预测,开发了一款基于证据的GDM预防应用程序()。2022年6月至8月采用便利抽样法选取102名有患GDM风险的孕妇进行预试验。一周后,使用应用程序接受度问卷评估该应用程序的可接受性,并根据这些女性的反馈对应用程序进行更新。我们使用SPSS 26.0进行数据分析。
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、个性化指导与咨询、同伴支持、家庭支持等功能。共有102名孕妇同意参与研究,保留率为98%;然而,2%(=2)退出。该应用程序的平均可接受性得分为4.07(满分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。