Abstract

Prolonged exclusive breastfeeding is a public health priority and a personal desire by mothers but rates are low, with milk supply challenges as a predominant cause. Early breastfeeding management at home is key. Milk electrolytes, mainly Na+, are accepted as biomarkers of secretory activation processes throughout the first weeks after birth, and predictors for prolonged breastfeeding success, although not incorporated into routine care practice. To test the feasibility of a novel handheld smartphone operated milk conductivity sensing system, that was designed to compute a novel milk maturation (MM%) parameter calculated from milk sample conductivity, for tracking individual secretory activation progress in a real-world home setting. System performance was initially evaluated in data collected from laboratory-based milk analysis followed by a retrospective analysis of observational real-world data gathered with the system, on the spot at a home setting, implemented by lactation support providers or directly by mothers (N=592). Data includes milk sample sensing data, baby age, and self reported breastfeeding status and breastfeeding related conditions. The data was retroactively classified in a day after birth dependent manner, based breastfeeding exclusivity and breastfeeding problems associated with ineffective breastfeeding and low milk supply, and results were compared between the groups. Laboratory analysis in a set of breast milk samples demonstrated a strong correlation between system's results and Na+ levels. In the real world dataset, a total of 1511 milk sensing records were achieved on-the-spot with over 592 real-world mothers. Data gathered with the system revealed typical time dependent increase in the milk maturation parameter characterized by initial steep increase followed by moderate increase and reaching a plateau during the first weeks postpartum. Additionally, milk maturation parameter levels captured by the system were found sensitive to breastfeeding status classifications of exclusive breastfeeding and breastfeeding problems, manifested in differences in group means in several day range after birth, predominantly during the first weeks postpartum. Differences could be demonstrated also for per-case time after birth dependent progress in individual mothers. This feasibility study demonstrates that the use of smart milk conductivity sensing technology can provide a robust, objective measure of individual breastfeeding efficiency, facilitating remote data collection within a home setting. It holds considerable potential to augment both self-monitoring and remote breastfeeding management capabilities, as well as to refine clinical classifications. To further validate the clinical relevance and potential of this home milk monitoring tool, future controlled clinical studies are necessary. These will provide insights into its impact on user and care provider satisfaction, and its potential to meet breastfeeding success goals. See visual abstract Appendix.

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