Malaria in Rural Mozambique: Hospital Admissions in Children
Author Information
Author(s): Bassat Quique, Guinovart Caterina, Sigaúque Betuel, Aide Pedro, Sacarlal Jahit, Nhampossa Tacilta, Bardají Azucena, Nhacolo Ariel, Macete Eusébio, Mandomando Inácio, Aponte John J, Menéndez Clara, Alonso Pedro L
Primary Institution: Barcelona Center for International Health Research (CRESIB)
Hypothesis
Characterization of severe malaria cases on arrival to hospital may lead to early recognition and improved management.
Conclusion
Malaria remains the number one cause of admission in this area of rural Mozambique, predominantly affecting young children, which are also at higher risk of dying.
Supporting Evidence
- Almost half of the 8,311 patients admitted had malaria.
- Children under two years accounted for almost 60% of all malaria cases.
- The case fatality rate for severe malaria was 4.4%.
- Prostration, respiratory distress, and severe anaemia were the most prevalent signs among severe malaria cases.
- 19% of all pediatric hospital deaths were due to malaria.
- Severe anaemia and inability to look for mother's breast were independent risk factors for death in infants.
- Malnutrition and hypoglycaemia were risk factors for children aged eight months to four years.
- MCBIRs for severe malaria were highest in children aged six months to two years.
Takeaway
This study shows that many young children in rural Mozambique get very sick from malaria and often need to go to the hospital. It's important to help these kids quickly to save their lives.
Methodology
A retrospective analysis of all admitted malaria cases to a rural hospital in Mozambique over two years, using logistic regression to identify risk factors for death.
Potential Biases
Potential over-admission of patients and reliance on hospital data may not capture all malaria cases in the community.
Limitations
Data on very young infants and older children may be underestimated due to identification issues; hospital-based data may not reflect the true burden of disease.
Participant Demographics
Children under 15 years, with a significant proportion being under two years old.
Statistical Information
P-Value
p<0.0001
Confidence Interval
95% CI for various measures reported
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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