Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review
Authors
Graca, SandroAlloh, Folashade
Lagojda, Lukasz
Dallaway, Alexander
Kyrou, Ioannis
Randeva, Harpal S.
Kite, Chris
Affiliation
University of Wolverhampton; Bournemouth University; University Hospitals Coventry and Warwickshire NHS Trust; University of Sheffield; University of Warwick; Coventry University; Aston University; University of Derby; Agricultural University of Athens; University of ChesterPublication Date
2024-08-21
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Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder impacting women’s health and quality of life. This scoping review explores the use of the Internet of Things (IoT) in PCOS management. Results were grouped into six domains of the IoT: mobile apps, social media, wearables, machine learning, websites, and phone-based. A further domain was created to capture participants’ perspectives on using the IoT in PCOS management. Mobile apps appear to be useful for menstrual cycle tracking, symptom recording, and education. Despite concerns regarding the quality and reliability of social media content, these platforms may play an important role in disseminating PCOS-related information. Wearables facilitate detailed symptom monitoring and improve communication with healthcare providers. Machine learning algorithms show promising results in PCOS diagnosis accuracy, risk prediction, and app development. Although abundant, PCOS-related content on websites may lack quality and cultural considerations. While patients express concerns about online misinformation, they consider online forums valuable for peer connection. Using text messages and phone calls to provide feedback and support to PCOS patients may help them improve lifestyle behaviors and self-management skills. Advancing evidence-based, culturally sensitive, and accessible IoT solutions can enhance their potential to transform PCOS care, address misinformation, and empower women to better manage their symptoms.Citation
Graca, S., Alloh, F., Lagojda, L., Dallaway, A., Kyrou, I., Randeva, H. S., & Kite, C. (2024). Polycystic Ovary Syndrome and the Internet of Things: A scoping review. Healthcare, 12(16), article-number 1671. https://doi.org/10.3390/healthcare12161671Publisher
MDPIJournal
HealthcareAdditional Links
https://www.mdpi.com/2227-9032/12/16/1671Type
ArticleDescription
© 2024 by the authors. Licensee MDPI, Basel, Switzerland.EISSN
2227-9032Sponsors
University of Wolverhamptonae974a485f413a2113503eed53cd6c53
10.3390/healthcare12161671
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Except where otherwise noted, this item's license is described as Licence for VoR version of this article starting on 2024-08-21: https://creativecommons.org/licenses/by/4.0/