Metaverse Clinic for Pregnant Women With Subclinical Hypothyroidism: Prospective Randomized Study.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2025-02-05 DOI:10.2196/64634
Yuanyuan Zheng, Yizhen Chen, Yan Chen, Liang Lin, Ting Xue, Chuhui Chen, Junping Wen, Wei Lin, Gang Chen
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Abstract

Background: Health care is experiencing new opportunities in the emerging digital landscape. The metaverse, a shared virtual space, integrates technologies such as augmented reality, virtual reality, blockchain, and artificial intelligence. It allows users to interact with immersive digital worlds, connect with others, and explore unknowns. While the metaverse is gaining traction across various medical disciplines, its application in thyroid diseases remains unexplored. Subclinical hypothyroidism (SCH) is the most common thyroid disorder during pregnancy and is frequently associated with adverse pregnancy outcomes.

Objective: This study aims to evaluate the safety and effectiveness of a metaverse platform in managing SCH during pregnancy.

Methods: A randomized controlled trial was conducted at Fujian Provincial Hospital, China, from July 2022 to December 2023. A total of 60 pregnant women diagnosed with SCH were randomly assigned into two groups: the standard group (n=30) and the metaverse group (n=30). Both groups received levothyroxine sodium tablets. Additionally, participants in the metaverse group had access to the metaverse virtual medical consultations and metaverse-based medical games. The primary outcomes were adverse maternal and offspring outcomes, and the secondary outcomes included the neurobehavioral development of offspring and maternal psychological assessments.

Results: Of the 30 participants in each group, adverse maternal outcomes were observed in 43% (n=13) of the standard group and 37% (n=11) of the metaverse group (P=.60). The incidence of adverse offspring outcomes was 33% (n=10) in the standard group, compared to 7% (n=2) in the metaverse group (P=.01). The Gesell Development Scale did not show significant differences between the two groups. Notably, the metaverse group demonstrated significantly improved scores on the Self-Rating Depression Scale and the Self-Rating Anxiety Scale scores compared to the standard group (P<.001 and P=.001, respectively).

Conclusions: The use of metaverse technology significantly reduced the incidence of adverse offspring outcomes and positively impacted maternal mental health. Maternal adverse outcomes and offspring neurobehavioral development were comparable between the two groups.

Trial registration: Chinese Clinical Trial Registry ChiCTR2300076803; https://www.chictr.org.cn/showproj.html?proj=205905.

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亚临床甲状腺功能减退孕妇的meta临床:前瞻性随机研究。
背景:在新兴的数字环境中,医疗保健正在经历新的机遇。虚拟世界是一个共享的虚拟空间,融合了增强现实、虚拟现实、区块链和人工智能等技术。它允许用户与身临其境的数字世界互动,与他人联系,并探索未知。虽然元宇宙正在各个医学学科中获得牵引力,但其在甲状腺疾病中的应用仍未得到探索。亚临床甲状腺功能减退症(SCH)是妊娠期间最常见的甲状腺疾病,经常与不良妊娠结局相关。目的:本研究旨在评价metaverse平台管理妊娠期SCH的安全性和有效性。方法:于2022年7月至2023年12月在中国福建省立医院进行随机对照试验。将60例确诊为SCH的孕妇随机分为两组:标准组(n=30)和超逆向组(n=30)。两组均给予左甲状腺素钠片。此外,metaverse组的参与者可以访问metaverse虚拟医疗咨询和基于metaverse的医疗游戏。主要结局为母系和子代不良结局,次要结局为子代神经行为发育和母系心理评价。结果:在每组30名参与者中,标准组43% (n=13)出现不良产妇结局,而中观组37% (n=11)出现不良产妇结局(P= 0.60)。标准组不良后代结局发生率为33% (n=10),而不良后代结局发生率为7% (n=2),差异有统计学意义(P= 0.01)。格塞尔发展量表在两组间无显著差异。值得注意的是,与标准组相比,元verse组在抑郁自评量表和焦虑自评量表上的得分显著提高(p结论:使用元verse技术显著降低了不良后代结局的发生率,并积极影响了母亲的心理健康。两组之间的母亲不良结局和后代神经行为发育具有可比性。试验注册:中国临床试验注册中心ChiCTR2300076803;https://www.chictr.org.cn/showproj.html?proj=205905。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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