Exploring Psychosocial Burdens of Diabetes in Pregnancy and the Feasibility of Technology-Based Support: Qualitative Study.

Q2 Medicine
JMIR Diabetes Pub Date : 2025-04-21 DOI:10.2196/53854
Maya V Roytman, Layna Lu, Elizabeth Soyemi, Karolina Leziak, Charlotte M Niznik, Lynn M Yee
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引用次数: 0

Abstract

Background: Gestational diabetes mellitus and type 2 diabetes mellitus impose psychosocial burdens on pregnant individuals. As there is less evidence about the experience and management of psychosocial burdens of diabetes mellitus during pregnancy, we sought to identify these psychosocial burdens and understand how a novel smartphone app may alleviate them. The app was designed to provide supportive, educational, motivational, and logistical support content, delivered through interactive messages.

Objective: The study aimed to analyze the qualitative data generated in a feasibility randomized controlled trial of a novel mobile app designed to promote self-management skills, motivate healthy behaviors, and inform low-income pregnant individuals with diabetes.

Methods: Individuals receiving routine clinical care at a single, large academic medical center in Chicago, Illinois were randomized to use of the SweetMama app (n=30) or usual care (n=10) from diagnosis of diabetes until 6 weeks post partum. All individuals completed exit interviews at delivery about their experience of having diabetes during pregnancy. Interviews were guided by a semistructured interview guide and were conducted by a single interviewer extensively trained in empathic, culturally sensitive qualitative interviewing of pregnant and postpartum people. SweetMama users were also queried about their perspectives on the app. Interview data were audio-recorded and professionally transcribed. Data were analyzed by 2 researchers independently using grounded theory constant comparative techniques.

Results: Of the 40 participants, the majority had gestational diabetes mellitus (n=25, 63%), publicly funded prenatal care (n=33, 83%), and identified as non-Hispanic Black (n=25, 63%) or Hispanic (n=14, 35%). Participants identified multiple psychosocial burdens, including challenges taking action, negative affectivity regarding diagnosis, diet guilt, difficulties managing other responsibilities, and reluctance to use insulin. External factors, such as taking care of children or navigating the COVID-19 pandemic, affected participant self-perception and motivation to adhere to clinical recommendations. SweetMama participants largely agreed that the use of the app helped mitigate these burdens by enhancing self-efficacy, capitalizing on external motivation, validating efforts, maintaining medical nutrition therapy, extending clinical care, and building a sense of community. Participants expressed that SweetMama supported the goals they established with their clinical team and helped them harness motivating factors for self-care.

Conclusions: Psychosocial burdens of diabetes during pregnancy present challenges with diabetes self-management. Mobile health support may be an effective tool to provide motivation, behavioral cues, and access to educational and social network resources to alleviate psychosocial burdens during pregnancy. Future incorporation of machine learning and language processing models in the app may provide further personalization of recommendations and education for individuals with DM during pregnancy.

Trial registration: ClinicalTrials.gov NCT03240874; https://clinicaltrials.gov/study/NCT03240874.

探讨妊娠期糖尿病的社会心理负担和技术支持的可行性:定性研究。
背景:妊娠期糖尿病和2型糖尿病对妊娠个体造成社会心理负担。由于关于怀孕期间糖尿病的心理社会负担的经验和管理的证据较少,我们试图确定这些心理社会负担,并了解一款新的智能手机应用程序如何减轻这些负担。该应用程序旨在通过互动信息提供支持性、教育性、激励性和后勤支持内容。目的:本研究旨在分析一种新型移动应用程序的可行性随机对照试验产生的定性数据,该应用程序旨在提高自我管理技能,激励健康行为,并告知低收入糖尿病孕妇。方法:在伊利诺伊州芝加哥的一个大型学术医疗中心接受常规临床护理的个体,从诊断为糖尿病到产后6周,随机分为使用sweetama应用程序(n=30)或常规护理(n=10)。所有个体在分娩时都完成了关于怀孕期间患糖尿病经历的退出访谈。访谈由半结构化访谈指南指导,并由一位接受过广泛的移情、文化敏感的孕妇和产后定性访谈培训的采访者进行。SweetMama的用户也被询问了他们对这款应用的看法。采访数据被录音并专业转录。数据由两名研究人员独立分析,采用扎根理论常数比较技术。结果:在40名参与者中,大多数患有妊娠糖尿病(n=25, 63%),公共资助的产前护理(n=33, 83%),并确定为非西班牙裔黑人(n=25, 63%)或西班牙裔(n=14, 35%)。参与者确定了多重社会心理负担,包括采取行动的挑战、对诊断的负面情绪、饮食内疚、管理其他责任的困难以及不愿使用胰岛素。照顾儿童或应对COVID-19大流行等外部因素影响了参与者的自我认知和遵守临床建议的动机。sweetama的参与者基本上同意,通过提高自我效能、利用外部动机、验证努力、维持医疗营养治疗、延长临床护理和建立社区意识,使用这款应用有助于减轻这些负担。参与者表示,sweetama支持他们与临床团队建立的目标,并帮助他们利用自我保健的激励因素。结论:妊娠期糖尿病的社会心理负担对糖尿病自我管理提出了挑战。移动卫生支持可能是一种有效的工具,可以提供动机、行为线索以及获得教育和社会网络资源,以减轻怀孕期间的社会心理负担。未来在应用程序中加入机器学习和语言处理模型,可能会为妊娠期糖尿病患者提供进一步个性化的建议和教育。试验注册:ClinicalTrials.gov NCT03240874;https://clinicaltrials.gov/study/NCT03240874。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Diabetes
JMIR Diabetes Computer Science-Computer Science Applications
CiteScore
4.00
自引率
0.00%
发文量
35
审稿时长
16 weeks
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