Home / TECHNOLOGY / Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety | BMC Pregnancy and Childbirth

Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety | BMC Pregnancy and Childbirth

Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety | BMC Pregnancy and Childbirth
Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety | BMC Pregnancy and Childbirth

In recent years, the integration of technology into healthcare has led to novel ways of delivering support and education to new mothers. A recent quasi-experimental study published in BMC Pregnancy and Childbirth explores the impact of an AI-assisted mobile application on breastfeeding outcomes and maternal anxiety. This groundbreaking research aims to understand how digital tools can bolster breastfeeding self-efficacy and reduce anxiety among mothers during the delicate postpartum period.

The study was conducted in a state hospital’s postpartum ward and breastfeeding unit, comprising a dedicated staff of nurses. The aim was to evaluate how breastfeeding counseling, delivered through an AI-powered application, influenced mothers’ perceptions of their breastfeeding capabilities and overall mental well-being.

Participants in the study included primiparous mothers—first-time mothers—who sought breastfeeding training over several months. These mothers were carefully selected based on specific criteria, ensuring that they had no congenital anomalies affecting breastfeeding and that their infants were of appropriate gestational age and health. In total, 60 mothers participated, divided equally into groups receiving either AI-assisted counseling or traditional counseling through a printed booklet.

Data collection involved several sophisticated instruments designed to gather comprehensive information on the mothers’ experiences. A personal information form, the Breastfeeding Charting System and Assessment Tool, the Postnatal Breastfeeding Self-Efficacy Scale, and the Beck Anxiety Inventory were all utilized to assess various dimensions of the mothers’ experiences. Each of these tools measured factors like breastfeeding success, self-efficacy, and anxiety levels, providing a multi-faceted view of the participants’ journeys.

One standout element of this study was the mobile application itself, designed by researchers in collaboration with software engineers. This AI-driven chatbot was programmed to provide tailored information and support to mothers, based on their individual needs and queries regarding breastfeeding. The application integrated the content of the knowledge booklet and allowed for personalized interactions based on the users’ questions.

The study followed mothers throughout their postpartum period, with assessments conducted at four key time points—day one, day three, day seven, and day ten. This structured approach ensured that any changes in breastfeeding success and anxiety levels could be accurately measured and attributed either to the AI chatbot or the traditional booklet.

Ethical considerations were also paramount in this well-structured study. Informed consent was obtained from all participants, and the entire research was conducted in compliance with the Declaration of Helsinki guidelines. The intent was to provide a safe and supportive environment for mothers to navigate their postpartum experiences.

The findings indicated a significant impact of the AI-assisted application on breastfeeding outcomes and maternal anxiety levels. Mothers who utilized the application reported higher levels of breastfeeding self-efficacy and lower levels of anxiety compared to those who relied solely on the printed materials. Such results emphasize the potential of AI-driven tools in enhancing maternal and infant health.

Mothers were encouraged to actively engage with the chatbot, often using it three times daily for advice and support. This high level of interaction signifies that digital tools can effectively complement traditional healthcare methods, providing immediate assistance in a format that is both convenient and accessible.

As the study highlights, the importance of addressing maternal anxiety cannot be understated. The postpartum period, while joyous, can also be riddled with challenges, and many new mothers experience heightened anxiety about breastfeeding. By providing readily available guidance through a digital platform, these mothers may feel more empowered and equipped to overcome obstacles that arise during this crucial time.

Moving forward, this research opens new avenues for further investigations into the efficacy of AI in maternal health. As technology continues to evolve, the potential to fundamentally transform healthcare delivery is immense. Implementing AI-assisted tools not only enhances support for mothers but also lay the groundwork for incorporating innovative solutions into other areas of healthcare.

In conclusion, the impact of AI-assisted chatbots on breastfeeding outcomes and maternal anxiety presents a compelling case for the integration of technology in maternal health. As new mothers navigate their unique journeys, the support of AI-driven solutions can foster greater self-efficacy and alleviate anxiety. This study serves as a beacon for future research and practice, underscoring the importance of utilizing modern tools to enhance the experiences of mothers during one of the most fundamental phases of life.

By embracing these advancements in technology, we can take significant strides towards improving maternal and infant health outcomes, ensuring that mothers feel both supported and empowered as they embark on their breastfeeding journeys. As we continue to explore the effects of technology in healthcare, it is vital that we remain committed to holistic, evidence-based practices that prioritize the well-being of mothers and their infants.

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