Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review.

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2025-06-12 DOI:10.2196/68469
Pamela J Wright, Charlotte Burts, Carolyn Harmon, Cynthia F Corbett
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引用次数: 0

Abstract

Background: Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women that requires self-management to improve mental and physical health outcomes and reduce risk of comorbidity. Digital technology has rapidly emerged as a valuable self-management tool for people with chronic health conditions. However, little is known about the digital technology available for and used by women with PCOS.  .

Objective: The purpose of this scoping review was to identify what is known about digital technology currently available and used by women with PCOS for PCOS-specific knowledge, self-management, or social support.

Methods: The databases PubMed, Embase, CINAHL, and Compendex were searched using Medical Subject Headings terms for PCOS, digital technology, health knowledge, self-management, and social support. Inclusion criteria were full-text, peer-reviewed publications of primary research from 2010 to 2025 in English about digital technology used for PCOS-specific knowledge, self-management, or social support by women aged 18 years and older with PCOS. Exclusion criteria were articles about pediatric populations and digital technology used for intervention recruitment or by health care providers to diagnose or treat patients.

Results: In total, 34 full-text articles met the inclusion criteria. Given the scope of digital technology, eligible studies were grouped into 7 domains: mobile apps (n=14), internet-based programs (eg, Google; n=6), social media (n=6), SMS text message (n=2), machine learning (n=2), artificial intelligence (eg, ChatGPT [OpenAI]; n=3), and web-based intervention platforms (n=1). Findings highlighted participants' varied perceptions of technology usefulness based on reliability of health care information, application features, accuracy of PCOS or fertility prediction, social group engagement, user-friendly interfaces, cultural sensitivity, and accessibility.

Conclusions: There is potential for digital technology to transform PCOS self-management, but further design and development are needed to optimize the technologies for women with PCOS. Future research should focus on including end users during the design phase of digital technology, refining predictive models, improving app inclusivity, conducting frequent reliability testing, and enhancing user engagement and support via additional features to promote more comprehensive self-management of PCOS.   .

数字技术在多囊卵巢综合征妇女中的可用性和使用:范围审查。
背景:多囊卵巢综合征(PCOS)是女性中一种常见的内分泌疾病,需要自我管理以改善精神和身体健康状况,降低合并症的风险。数字技术已迅速成为慢性病患者一种宝贵的自我管理工具。然而,对于多囊卵巢综合征女性可用和使用的数字技术知之甚少。  。目的:本综述的目的是确定目前可获得的数字技术以及PCOS女性在PCOS特异性知识、自我管理或社会支持方面的使用情况。方法:采用医学主题词检索PubMed、Embase、CINAHL和Compendex数据库,检索PCOS、数字技术、健康知识、自我管理和社会支持。纳入标准是2010年至2025年期间,18岁及以上PCOS女性用于PCOS专业知识、自我管理或社会支持的数字技术的英文全文、同行评审的初级研究出版物。排除标准是关于儿科人群和用于干预招募或卫生保健提供者用于诊断或治疗患者的数字技术的文章。结果:34篇全文文章符合纳入标准。考虑到数字技术的范围,符合条件的研究被分为7个领域:移动应用程序(n=14),基于互联网的程序(例如b谷歌;n=6)、社交媒体(n=6)、短信(n=2)、机器学习(n=2)、人工智能(如ChatGPT [OpenAI];N =3)和基于网络的干预平台(N =1)。研究结果强调,基于医疗保健信息的可靠性、应用功能、多囊卵巢综合征或生育预测的准确性、社会群体参与、用户友好界面、文化敏感性和可及性,参与者对技术有用性的看法各不相同。结论:数字技术有可能改变PCOS的自我管理,但需要进一步的设计和开发来优化PCOS女性的技术。未来的研究应侧重于在数字技术设计阶段纳入终端用户,完善预测模型,提高应用程序的包容性,进行频繁的可靠性测试,并通过附加功能增强用户参与度和支持度,以促进PCOS更全面的自我管理。
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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