Exclusive breastfeeding (EBF) is critical for child survival, growth, and maternal health; however, over half of mothers in low and middle-income countries (LMIC). Mobile health (mHealth) describes a range of wireless technologies and techniques that seek to increase patient access to and interaction with preventive health services. This study will develop and test the feasibility of an mHealth intervention to improve support counseling for breastfeeding at a large sub-county referral hospital in Naivasha, Kenya.
Exclusive breastfeeding (EBF) is critical for child survival, growth, and maternal health; however, over half of mothers in low and middle-income countries (LMICs) do not practice EBF through the recommended six months of infancy. Maternal employment is a significant risk factor for early cessation of EBF in LMICs. Policies in Kenya seek to support working mothers to continue practicing EBF after a nationally mandated 12-week maternity leave. However, the implementation of this policy is limited, and only 17% of formally employed mothers practice EBF through the recommended six months in Naivasha, Kenya, where a high proportion of mothers are employed in commercial agriculture and other low-wage industries. Mobile health (mHealth) describes a range of wireless technologies and techniques that seek to increase patient access to and interaction with preventive health services. mHealth technologies hold untapped potential to support healthcare workers' training and counseling approaches to support lactation for working mothers, especially when collaboratively developed with end users. This study will develop and test the feasibility of an mHealth intervention to improve support counseling for breastfeeding at a large sub-county referral hospital in Naivasha, Kenya. The primary objective of this proposal is to develop mHealth technology to equip and support healthcare worker breastfeeding counseling, and implement and evaluate its impact. We hypothesize that a culturally sensitive and technologically appropriate mHealth counseling intervention will improve EBF rates among infants of employed mothers. This study will be conducted in three aims: Before the clinical trial phase of the study begins, we will employ a human-centered design approach to iteratively develop and test the feasibility of an mHealth intervention to support breastfeeding counseling for employed mothers. After developing the technology, we will evaluate the impact of the mHealth breastfeeding counseling intervention on the outcomes of EBF, child morbidity, and worker presenteeism. The overarching goal of this proposal is to develop an mHealth intervention that can successfully support continued lactation and BF for employed mothers across various sectors and be disseminated at a national scale in Kenya and other LMIC contexts where employed mothers face unique challenges to practicing EBF while maintaining employment. Mothers will be recruited in the third trimester of pregnancy and followed through 9-months postpartum. 284 mothers will be randomly assigned to an mHealth counseling intervention or the Standard of Care (in person counseling at the Naivasha Sub-County Referral Hospital). there will be 142 mothers in each intervention arm.
a phone-based breastfeeding counseling intervention, delivered by labor and delivery nurses, nutritionists, and maternal and child health nurses.
The ongoing antenatal, delivery and postnatal breastfeeding and lactation counseling that is provided by the Naivasha sub-County Referral Hospital.
Exclusive breastfeeding at 24 weeks
The proportion of mothers who feed only breastmilk to their infants, without other liquids, formula or semi-solid or solid food.
Time frame: 24 weeks post-partum
Continued breastfeeding
Any breastfeeding in the past 24 hours
Time frame: 36 weeks post partum
Early initiation of breastfeeding
Breastfeeding within 1 hour of childbirth
Time frame: Within 1 hour of childbirth
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Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
284