Child Health
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- ItemRestrictedExploring determinants of exclusive breastfeeding among women with children aged 0-6 weeks attending postnatal clinic services in Balaka District: An interpretive phenomenological analysis study(Kamuzu University of Health Sciences, 2020-06-15) Njolomole, BlessingsExclusive breastfeeding is the most widely known and effective intervention for preventing earlychildhood illnesses and deaths. Despite numerous global initiatives on breast-feeding, trend data show exclusive breast-feeding (EBF) rates have stagnated over the last two decades .In Malawi despite having some improvements in early initiation of exclusive breast feeding (EIBF), in the last decade there has been a decline in EBF and EIBF rates. This study aims at exploring drivers and barriers of exclusive breastfeeding among women with children aged 0-6 weeks attending postnatal clinic services in Balaka district. The specific objectives include to;1) assess the level of knowledge of mothers with children aged 0-6 weeks on the importance of exclusive breastfeeding;2) explore the perception of mothers with children aged 0-6 weeks towards exclusive breast feeding;3) assess drivers of exclusive breast feeding among mothers with children aged 0-6 weeks and 4) explore influences on exclusive breastfeeding among women with children aged 0-6 weeks attending postnatal clinic services in Balaka district The study will employ a qualitative interpretive phenomenological analysis (IPA) approach. Participants will be recruited using purposive sampling technique to select breast feeding women with children 0-6 weeks while snowballing technique will be used for recruiting significant others. Three focus group discussions (FGD) of 6-8 women with children 0-6 weeks old and nine in-depth interviews with these women will be conducted while eleven in-depth interviews will be conducted with significant others (Spouses, grandparents and siblings of the women with children 0-6 weeks) and key informants involving 2 maternity nurses and 2 clinicians. Data will be analyzed using content thematic analysis.