Patient socio-demographics and clinical factors associated with malaria mortality: a case control study in the northern region of Ghana

Ghana is a malaria-endemic country with the entire population at risk. The Northern region of the country recorded the highest malaria case fatality rate (CFR) for two consecutive years: 1.11% in 2013 and 1.07% in 2014. Even though the National Malaria Elimination Programme (NMEP) has achieved a red...

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Veröffentlicht in:Malaria journal 2024-08, Vol.23 (1), p.230-10, Article 230
Hauptverfasser: Peprah, Nana Yaw, Mohammed, Wahjib, Adu, George Asumah, Dadzie, Dora, Oppong, Sammy, Barikisu, Seidu, Narh, Joel, Appiah, Stephen, Frimpong, James, L Malm, Keziah
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Sprache:eng
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Zusammenfassung:Ghana is a malaria-endemic country with the entire population at risk. The Northern region of the country recorded the highest malaria case fatality rate (CFR) for two consecutive years: 1.11% in 2013 and 1.07% in 2014. Even though the National Malaria Elimination Programme (NMEP) has achieved a reduction in malaria mortality, the existence of high case fatality in the Northern region was alarming. This study, therefore, aimed to determine the factors associated with malaria mortality in the northern region of Ghana to institute control measures. An unmatched case control study was conducted from July 2015 to August 2015. The study population consisted of patients admitted to health facilities for severe malaria in the Northern region of Ghana. A case was defined as a patient diagnosed with severe malaria at an eligible health facility who died as a result of malaria. A control was a patient diagnosed with severe malaria admitted to an eligible health facility who did not die. Health facilities that recorded CFRs of 1.0% and above were randomly sampled for this study, after which, 10 cases and 20 controls were recruited from each health facility. Information on cases and controls was then abstracted from hospital records using an electronically deployed abstraction tool. Continuous variables were expressed as means and medians, and categorical variables as frequencies and proportions. Multivariable logistic regression was used to assess the strength of the association between malaria mortality and factors predictive of malaria mortality. A p-value of 
ISSN:1475-2875
1475-2875
DOI:10.1186/s12936-024-05038-2