Knowledge, attitude and practices of breast feeding among post natal mothers

Divyarani, D C; Patil, Goudappa R.

doi:10.18203/2349-3291.ijcp20150925

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Breastfeeding chatbots may be considered as health chatbot even if breastfeeding is physiological state and not pathological condition. But while the majority of newly moms had inadequate knowledge and improper techniques for breastfeeding [19], the simple use of cell phones to send regular and personalized messages to breastfeeding moms, proved to be a very useful tool for frequent and sustained support [20]. However, no sufficient literature on the usage of chatbots in the healthcare domain [21].…”

Section: Breastfeeding Chatbotsmentioning

confidence: 99%

ALMA: Machine learning breastfeeding chatbot

Achtaich¹,

Achtaich²,

Fagroud³

et al. 2023

Math. Model. Comput.

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Since the first computer, researchers always try to simulate human behave. For Chatbots, one of the first goals is to interact with the user like a human using Natural Language. For Health chatbots, another goal is as much important: be able to provide the correct answer to the user request. Over Years, many health chatbots have been developed for many fields such as cancer, diagnosis orientation, psychiatrics, etc. breastfeeding companion are, however, rare (only two breastfeeding chatbots). In this paper, we have developed ALMA, a Breastfeeding Chatbot (BC) that can converse with a breastfeeding mom throw natural language understanding (NLU) and natural language generation (NLG), and provide her – breastfeeding mom – with the relevant information using AIML knowledge base and CNN pre-trained model. We made ALMA available for a normal WhatsApp conversation throw Twilio API. ALMA was tested by volunteering breastfeeding moms and the results validated by breastfeeding consult.

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Section: Breastfeeding Chatbotsmentioning

confidence: 99%

ALMA: Machine learning breastfeeding chatbot

Achtaich¹,

Achtaich²,

Fagroud³

et al. 2023

Math. Model. Comput.

View full text Add to dashboard Cite

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To study the knowledge, attitude and practice of breastfeeding among postnatal mothers in a tertiary care center of South India

Rudrappa¹,

Nagaraju²,

Raju³

et al. 2020

Indian J Child Health

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reastfeeding is a physiological and ideal way of feeding the infants. It offers complete nutrition, early protection against illness and promotes growth and development of the infants. Early initiation of breastfeeding lowers the mother's risk of postpartum hemorrhage and anemia, boosts mother's immune system and reduces the incidence of diabetes and cancer [1,2]. Non-breastfed baby is 15 times more likely to get diarrhea and 3 times more likely to get respiratory tract infection [3]. According to the WHO and UNICEF, exclusive breastfeeding (EBF) for 6 months is the single most effective child survival intervention which reduces both infant mortality and under five mortality rate in India [4].In India, breastfeeding practices are influenced by rural/urban residence, cultural, socio-economic factors, psychological status, religious value and literacy level, and mother's employment status [5]. Breastfeeding practices have declined worldwide in recent years as a result of urbanization, socio-economic reasons, changes in living patterns, advertisements, marketing of infant milk formulae, and maternal employment outside the home [6]. The major reason for poor health outcomes among children, particularly in developing countries, is lack of EBF [7]. The key to successful breastfeeding is information, education, and communication strategies aimed at behavior change. Very few Indian women have access to counseling services on infant and young child feeding. The main source of information to mothers is through family and friends, which is often inadequate. The current study was designed to explore the practices, knowledge, and attitude toward breastfeeding among postnatal mothers and demographic and socio-economic factors that determine them [8]. MATERIALS AND METHODSA cross-sectional study was conducted between October and November 2018 at a tertiary hospital of South India including all the postnatal mothers who presented during this study period. The sample size was 200, calculated using purposive sampling technique, from the formula n=z 2 pq/d 2 , where z=1.96, p is the number of deliveries conducted at the hospital, q=1-p and d=95% confidence interval [9,10]. Mothers who were not willing to participate in the study, who were suffering from puerperal psychosis and other mental illness and mothers of babies admitted in newborn intensive care unit were excluded from the study.

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