Application of technology for effective and safe pregnancy care
DOI:
https://doi.org/10.14456/dcj.2025.16Keywords:
technology, pregnancy care, effectiveness, Safety Thailand ProgramAbstract
Proper and timely care of pregnant women, who typically experience numerous physiological changes, including fetal growth and development during gestation can mitigate the risk of gestational diabetes, hypertension, and premature birth. Currently, caring of pregnant women still encounters numerous problems, including barriers to medical services and economic and societal limitations. To address these ongoing issues, technological advancements have been implemented to support the care of pregnant women. These include telemedicine, health applications, and artificial intelligence (AI). This article aims to look at the importance and roles of technology in maternity care, both normal and complicated pregnancy, as well as the pros and cons of using it. Additionally, it analyzes opportunity and challenges in implementing those technologies. It is also intended to offer ways to use technologies effectively and safely to improve healthcare. The article utilizes a narrative review methodology and thematic analysis to investigate pertinent materials. To provide better care to mothers, nurses need to learn about new technologies, make sure that they are safe and appropriate, effectively incorporate these new technologies into traditional medical procedures and practices, and make it easier for people to share information while sending out alerts for problems identified by technology-based tools and instruments.
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References
Brooks SK, Weston D, Greenberg N. Psychological impact of infectious disease outbreaks on pregnant women: rapid evidence review. Public health [Internet]. 2020 [cited 2024 Dec 24];189:26-36. Available from: https://www.sciencedirect.com/science/article/piiS00333 50620304133
Ricci S. Essentials of maternity, newborn, and women's health nursing. Lippincott Williams & Wilkins [Internet]. 2024 [cited 2024 Dec 24]. Available from: https://books.google.com/books?hl=en&lr=&id=B4ogEQAAQBAJ&oi=fnd&pg=PT30&dq=Essentials+of+maternity,+newborn,+and+women%27s+health+nursing.+Lippincott+Williams+%26+Wilkins&ots=KZzqz5b2aL&sig=lXmoqB8OpslHDHGiLH-AFOQhAJg
Mc Dowell AM. Inequalities in health outcomes among users of prenatal care (Master's thesis) [Internet]. 2020 [cited 2024 Dec 24]. Available from: https://www.duo.uio.no/handle/10852/80649
Mapari SA, Shrivastava D, Dave A, Bedi GN, Gupta A, Sachani P, et al. Revolutionizing Maternal Health: The Role of Artificial Intelligence in Enhancing Care and Accessibility. Cureus. 2024;16(9):e69555.
Revathy JS, Mangaiyarkkarasi J. Pregnancy in the digital age: a new era of healthcare technologies. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning [Internet]. 2023 [cited 2024 Dec 24];293-309. Available from: https://books.google.com/books?hl=en&lr=&id=GjfaEAAAQBAJ&oi=fnd&pg=PR1&dq=A+New+Era+of+Healthcare+Technologies.+Predicting+Pregnancy+Complications+Through+Artificial+Intelligence+and+Machine+&ots=ep5jpgHrSL&sig=S7_dDrhpQ0T7548ZIf0ckREu5Q
Mazaheri Habibi MR, Moghbeli F, Langarizadeh M, Fatemi Aghda SA. Mobile health apps for pregnant women usability and quality rating scales: a systematic review. BMC Pregnancy and Childbirth [Internet]. 2024 [cited 2024 Dec 24];24(34):1-9. Available from: https://link.springer.com/article/10.1186/s12884-023-06206-z
Zhang Y, Gu A, Xiao Z, Xing Y, Yang C, Li J, et al. Wearable fetal ECG monitoring system from abdominal electrocardiography recording. Biosensors [Internet]. 2022 [cited 2024 Dec 24];12(7):1-15. Available from: https://www.mdpi.com/2079-6374/12/7/475
Yoshida Y. UCI engineers develop wearable fetal monitoring technology [Internet]. 2022 [cited 2024 Dec 24]. Available from: https://engineering.uci.edu/news/2022/11/uci-engineers-develop-wearable-fetal-monitoring-technology
Veena S, Aravindhar DJ. Remote monitoring system for the detection of prenatal risk in a pregnant woman. Wireless Personal Communications [Internet]. 2021 [cited 2024 Dec 24];119(2):1051-64. Available from: https://link.springer.com/article/10.1007/s11277-021-08249-x
Lanssens D, Vandenberk T, Smeets C J, De Cannière H, Molenberghs G, Van Moerbeke A, et al. Remote monitoring of hypertension diseases in pregnancy: a pilot study. JMIR mHealth and Health [Internet]. 2017 [cited 2024 Dec 24];5(3):1-10. Available from: https://mhealth.jmir.org/2017/3/e25
Nair U, Armfield NR, Chatfield MD, Edirippulige S. The effectiveness of telemedicine interventions to address maternal depression: a systematic review and meta-analysis. Journal of Telemedicine and Telecare [Internet]. 2018 [cited 2024 Dec 24];24(10):639-50. Available from: https://journals.sagepub.com/doi/full/10.1177/1357633X18794332
Şat SÖ, Sözbir ŞY. Use of mobile applications and blogs by pregnant women in Turkey and the impact on adaptation to pregnancy. Midwifery [Internet]. 2018 [cited 2024 Dec 24];62:273-7. Available from: https://www.sciencedirect.com/science/article/pii/S0266613818301098
Frid G, Bogaert K, Chen KT. Mobile health apps for pregnant women: systematic search, evaluation, and analysis of features. Journal of medical Internet research [Internet]. 2021 [cited 2024 Dec 24];23(10):1-7. Available from: https://www.jmir.org/2021/10/e25667/
Sandborg J, Söderström E, Henriksson P, Bendtsen M, Henström M, Leppänen MH, et al. Effectiveness of a smartphone app to promote healthy weight gain, diet, and physical activity during pregnancy (Healthy Moms): randomized controlled trial. JMIR mHealth and uHealth [Internet]. 2021 [cited 2024 Dec 24];9(3):1-18. Available from: https://mhealth.jmir.org/2021/3/e26091/
Bundi D, Thiga M, Mutua S. The role of IoT, blockchain, artificial intelligence and machine learning in maternal health. Proceedings of the Kabarak University International Conference Computing and Information Systems 2021, Nakuru, Kenya [Internet]. 2021 [cited 2024 Dec 24];4th-8th October 2021. Available from: http://ir.kabarak.ac.ke/handle/123456789/773
Saarikko J, Niela-Vilen H, Ekholm E, Hamari L, Azimi I, Liljeberg P, et al. Continuous 7-month internet of things-based monitoring of health parameters of pregnant and postpartum women: prospective observational feasibility study. JMIR formative research [Internet]. 2020 [cited 2024 Dec 24];4(7):1-11. Available from: https://formative.jmir.org/2020/7/e12417/
Zhao X, Zeng X, Koehl L, Tartare G, de Jonckheere J, Song K. An IoT-based wearable system using accelerometers and machine learning for fetal movement monitoring. In: 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) [Internet]. 2019 [cited 2024 Dec 24];299-304. Available from: https://ieeexplore.ieee.org/document/8780301
Flessa S, Huebner C. Innovations in health care-a conceptual framework. International Journal of Environmental Research and Public Health [Internet]. 2021 [cited 2024 Dec 24];18(19):1-19. Available from: https://www.mdpi.com/1660-4601/18/19/10026
Jittitaworn W, Fox D, Catling C, Homer CS. Recognising the challenges of providing care for Thai pregnant adolescents: healthcare professionals’ views. Women and Birth [Internet]. 2020 [cited 2024 Dec 24];33(2):182-90. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1871519218316780
Li J, Silvera-Tawil D, Varnfield M, Hussain MS, Math V. Users’ perceptions toward mHealth technologies for health and well-being monitoring in pregnancy care: qualitative interview study. JMIR Formative Research [Internet]. 2021 [cited 2024 Dec 24];5(12):1-14. Available from: https://formative.jmir.org/2021/12/e28628/PDF
Vickery M, van Teijlingen E, Hundley V, Smith GB, Way S, Westwood G. Midwives’ views towards women using mHealth and eHealth to self-monitor their pregnancy: a systematic review of the literature. European journal of midwifery [Internet]. 2020 [cited 2024 Dec 24];4(36):1-11. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC7839093/pdf/EJM-4-36.pdf
Bucher SL, Cardellichio P, Muinga N, Patterson JK, Thukral A, Deorari AK, et al. Digital Health Innovations, Tools, and Resources to Support Helping Babies Survive Programs. Pediatrics. 2020;146(Suppl 2):S165-82.
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