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Determinants of neonatal mortality among hospitalised neonates with sepsis at Queen Elizabeth Central Hospital, Blantyre, Malawi

A mixed-methods study

Bibliographic Data

ID19590795
AuthorsLucky Mangwiro (0000-0001-7591-6628, Kamuzu Central Hospital, corresponding author), Joseph Misyenje (0009-0004-8110-4414, Kamuzu Central Hospital, corresponding author), Pui‐Ying Iroh Tam (0000-0002-3682-8892, University of Liverpool, corresponding author), Pui-Ying Iroh Tam, Kondwani Kawaza (0000-0002-9432-4916, Kamuzu Central Hospital, corresponding author), Alinane Linda Nyondo-Mipando (0000-0002-3572-3810, University of Liverpool, corresponding author), Alinane Linda Nyondo Mipando
EditorsLisa Miyako Noguchi
Year2024
Volume4
Issue12
Pagese0004059
Publication date2024-12-18
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0004059
PMID39693358
OpenAlexW4405523902
LanguageEN
References cited14

Neonatal sepsis-related deaths remain a significant health problem contributing to higher morbidity and mortality rates, particularly in low resource settings, such as Malawi. However, there is limited information to associate risk factors and health system factors with mortality. This study investigated the risk factors associated with mortality and explored health system factors contributing to deaths among neonates with sepsis at Queen Elizabeth Central Hospital (QECH), Blantyre, Malawi. This mixed-method study utilised a convergent parallel approach to describe the determinants of neonatal mortality among neonates with sepsis. We selected this design because it allowed the researchers to triangulate, support and enhance the internal and external validity of the results. We retrospectively reviewed 237 neonatal records using a simple random sampling technique for cross-sectional quantitative data. Exploratory qualitative data was collected using a semi-structured interview guide from 10 purposively selected healthcare workers directly involved in providing neonatal care through in-depth interviews. Quantitative data were analysed using univariate and multivariate logistic regression in Stata v.14; qualitative data were analysed manually using a thematic analysis approach. We found that gestation age (OR 0.76 (95% CI: 0.58, 0.99), p-value = 0.040) and number of days spent in the hospital (OR 0.64 (95% CI: 0.48, 0.85), p-value = 0.002) were the most predictive risk factors. The qualitative inquiry showed the maternal behavioural factors; reporting late to hospital, cultural and religious beliefs; maternal health related factors: prolonged labour, unnecessary vaginal examinations, premature rupturing of membranes; Neonatal factors: prematurity, meconium aspiration, home deliveries and lastly, health system factors included delay in treatment, referrals and blood culture results, limited resources contributed to documented clinical outcomes. Determinants of neonatal mortality were gestation age, number of days spent in the hospital, maternal behavioural and health related, neonatal and health system factors. Reducing mortality among neonates with sepsis will require a multi-sectoral approach

Health care · Logistic regression · Neonatal sepsis · Obstetrics · Qualitative research · Sepsis · Thematic analysis · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Maternal and Neonatal Healthcare · Medicine · Pediatrics

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