PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
摘要：
妊娠期糖尿病（GDM）会增加母婴不良结局的风险。预防性干预可以有效地帮助患有GDM的孕妇。目前,孕妇不知道预防GDM的重要性，他们的自我管理能力很低。最近,mHealth技术已在全球范围内使用。因此,开发用于GDM预防的移动健康应用程序可能会帮助孕妇降低GDM的风险。
■要设计和开发移动应用程序，评估其接受度，并了解用户的使用经验和建议，从而为有GDM风险的孕妇提高自我管理能力和预防GDM提供了有效的工具。
■使用以用户为中心的设计方法开发了一种基于证据的GDM预防应用程序（更好的怀孕），遵循健康信念模式，并纳入GDM风险预测。2022年6月至8月，采用了一种方便的抽样方法，选择了102名有GDM风险的孕妇进行试点研究。一周后,应用程序的可接受性是使用申请接受问卷进行评估的，我们根据女性的反馈更新了应用程序。我们使用SPSS26.0进行数据分析。
■该应用程序提供各种功能，包括GDM风险预测，健康管理计划,行为管理，健康信息,个性化的指导和咨询，同行支持，家庭支持,和其他功能。总的来说,102名孕妇同意参加这项研究，达到98%的保留率；然而，2%(n=2)退出。更好的怀孕应用程序的平均可接受性评分为5分的4.07。此外,与会者提出了一些旨在加强应用的建议。
■本研究开发的更好的怀孕应用程序可以作为预防GDM的辅助管理工具，为后续随机对照试验提供基础。
■要设计和开发移动应用程序，评估其接受度，并了解用户的使用经验和建议，从而为有GDM风险的孕妇提高自我管理能力和预防GDM提供了有效的工具。
■使用以用户为中心的设计方法开发了一种基于证据的GDM预防应用程序（更好的怀孕），遵循健康信念模式，并纳入GDM风险预测。2022年6月至8月，采用了一种方便的抽样方法，选择了102名有GDM风险的孕妇进行试点研究。一周后,应用程序的可接受性是使用申请接受问卷进行评估的，我们根据女性的反馈更新了应用程序。我们使用SPSS26.0进行数据分析。
■该应用程序提供各种功能，包括GDM风险预测，健康管理计划,行为管理，健康信息,个性化的指导和咨询，同行支持，家庭支持,和其他功能。总的来说,102名孕妇同意参加这项研究，达到98%的保留率；然而，2%(n=2)退出。更好的怀孕应用程序的平均可接受性评分为5分的4.07。此外,与会者提出了一些旨在加强应用的建议。
■本研究开发的更好的怀孕应用程序可以作为预防GDM的辅助管理工具，为后续随机对照试验提供基础。
