移动应用程序(eMOM)对妊娠糖尿病患者自我发现和心理因素的影响:混合方法研究

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Sini Määttänen, Saila Koivusalo, Hanna Ylinen, Seppo Heinonen, Mikko Kytö
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引用次数: 0

摘要

背景:妊娠期糖尿病是一种在怀孕期间发生的糖尿病,并且在以后的生活中增加患2型糖尿病的风险。妊娠期糖尿病(GDM)的患病率不断上升,强调需要更全面的治疗策略,特别强调支持产妇自我管理。我们最近展示了一款移动应用eMOM,它将葡萄糖、营养和身体活动结合在一个应用程序中,显著改善了妊娠糖尿病患者的多种临床结果。目的:本研究旨在探讨eMOM对产妇自我发现和学习、自主管理GDM动机和心理健康的影响。此外,我们检查改善产妇临床结果和自主动机的变化之间的相关性。我们还评估了eMOM应用程序的接受度和可用性。在最初的随机对照试验(RCT)的基础上,我们进行了一项混合方法研究,其中包括对eMOM日志文件的调查,对自我发现的半结构化访谈,以及评估动机的问卷(治疗自我调节问卷和感知能力量表),抑郁(爱丁堡产后抑郁量表),技术使用和接受(统一的技术使用接受理论问卷),以及可用性(修改的软件可用性测量清单)。此外,我们使用可穿戴式心电图设备(FirstBeat Bodyguard 2)监测参与者的压力水平。最初的随机对照试验共有148人参加,干预组76人,对照组72人。本研究从干预组随机抽取18名参与者进行访谈。结果:eMOM的使用率高,新颖的可视化支持GDM患者的自我发现。大多数参与者(17/18,94%)表示,eMOM应用程序有助于找到他们的日常活动和血糖水平之间的联系。特别是将营养与葡萄糖一起可视化是非常值得赞赏的。参与者还报告说,他们了解了体育活动和血糖水平之间的关系。干预组和对照组在自主动机、抑郁或压力方面没有观察到差异。此外,临床结果的改善与动机的改变之间没有相关性。在整个干预过程中,可访问性和可用性评级一直很高。结论:eMOM移动应用程序结合了来自连续血糖监测仪、食物日记和身体活动追踪器的数据,支持与GDM相关的产妇自我发现,而不会导致抑郁或增加额外的压力。这鼓励在产妇护理中使用此类移动应用程序。值得注意的是,动机因素与我们之前的RCT中观察到的积极结果并不相关,这表明自我发现对临床结果有更大的影响。试验注册:ClinicalTrials.gov NCT04714762;https://www.clinicaltrials.gov/study/NCT04714762。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study.

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study.

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study.

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study.

Background: Gestational diabetes is a type of diabetes that develops during pregnancy and increases the risk of developing type 2 diabetes later in life. The rising prevalence of gestational diabetes mellitus (GDM) highlights the need for more comprehensive treatment strategies, with a particular emphasis on supporting maternal self-management. We showed recently that a mobile app, eMOM, where glucose, nutrition, and physical activity are combined within a single app, significantly improves multiple clinical outcomes among persons with gestational diabetes.

Objective: This study aims to explore the effects of the eMOM on maternal self-discovery and learning, autonomous motivation to manage GDM, and psychological well-being. Additionally, we examine the correlation between improved maternal clinical outcomes and change in autonomous motivation. We also assess the acceptance and usability of the eMOM app.

Methods: Building upon the original randomized controlled trial (RCT), in which the intervention arm used a mobile app (eMOM), we conducted a mixed methods study that included an investigation of eMOM log files, semistructured interviews on self-discovery, and an examination of questionnaires assessing motivation (Treatment Self-Regulation Questionnaire and Perceived Competence Scale), depression (Edinburgh Postnatal Depression Scale), technology use and acceptance (Unified Theory of Acceptance of Use of Technology questionnaire), and usability (modified Software Usability Measurement Inventory). Additionally, we monitored participants' stress levels using wearable electrocardiographic devices (FirstBeat Bodyguard 2). A total of 148 individuals participated in the original RCTs, with 76 in the intervention arm and 72 in the control arm. From the intervention arm, 18 participants were randomly selected for interviews in this study.

Results: Results show that the use rate of eMOM was high, and novel visualization supported self-discovery in persons with GDM. Most participants (17/18, 94%) indicated that the eMOM app helped to find the associations between their daily activities and glucose levels. Especially having nutrition visualized together with glucose was highly appreciated. Participants also reported learning about the associations between physical activity and glucose levels. No differences were observed between the intervention and control arms in autonomous motivation, depression, or stress. Furthermore, there were no correlations between improved clinical outcomes and changes in motivation. Accessibility and usability ratings were consistently high throughout the intervention.

Conclusions: The eMOM mobile app combining data from continuous glucose monitor, food diary, and physical activity tracker supports maternal self-discovery related to GDM without contributing to depression or adding extra stress. This encourages the use of such mobile apps in maternity care. Notably, motivational factors did not correlate with the positive outcomes observed in our prior RCT, suggesting that self-discovery has a greater impact on clinical results.

Trial registration: ClinicalTrials.gov NCT04714762; https://www.clinicaltrials.gov/study/NCT04714762.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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