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

被引:1
|
作者
Peprah, Nana Yaw [1 ]
Mohammed, Wahjib [1 ]
Adu, George Asumah [1 ]
Dadzie, Dora [1 ]
Oppong, Sammy [1 ]
Barikisu, Seidu [2 ]
Narh, Joel [1 ]
Appiah, Stephen [1 ]
Frimpong, James [1 ]
Malm, Keziah L. [1 ]
机构
[1] Ghana Hlth Serv, Natl Malaria Control Programme, Publ Hlth Div, Accra, Ghana
[2] Ghana Hlth Serv, Reg Hlth Directorate, Accra, Ghana
关键词
Case control; Clinical care; Ghana; Malaria mortality; Northern Region; Socio-demographics; DISTRICT; BURDEN;
D O I
10.1186/s12936-024-05038-2
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background 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. Methods 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 < 0.05 was considered statistically significant. Results In all, a total of 95 cases and 190 controls participated in this study. The median ages of cases and controls were 4.1 years (IQR = 21.6) and 5.7 years (IQR = 18.2), respectively. Fifty-four (56.8%) cases were females, while 93 (49.0%) of the controls were females. Factors associated with malaria mortality included: duration of hospital stay less than 24 h [aOR: 12.0, 95% CI (5.9-24.6)], severe pallor [aOR: 2.3, 95% CI (1.1-4.6)], children under 5 years [aOR: 2.8, 95% CI (1.4-5.6)], oral Artesunate/Amodiaquine administration [aOR: 0.4, 95% CI (0.2-0.9)] and sepsis as an additional diagnosis [aOR: 4.1, 95% CI (1.8-9.5)]. Conclusion Predictors of malaria mortality in the Northern region include children under 5 years, severe pallor, sepsis as an additional diagnosis, and use of oral anti-malarial. Patients with severe pallor and sepsis as co-morbidities should receive proactive management. The NMEP and its partners should implement measures to strengthen the referral system, anaemia prevention and management, and retrain health workers on malaria case management. Malaria control interventions targeted at under five children in the region should be reviewed and enhanced.
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