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

Author:

Peprah Nana Yaw,Mohammed Wahjib,Adu George Asumah,Dadzie Dora,Oppong Sammy,Barikisu Seidu,Narh Joel,Appiah Stephen,Frimpong James,L. Malm Keziah

Abstract

Abstract 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.

Funder

The Global Fund to support AIDS, Tuberculosis and Malaria

Publisher

Springer Science and Business Media LLC

Reference28 articles.

1. WHO. Regional data and trends briefing kit: World malaria report 2023. Geneva: World Health Organization; 2023.

2. Okitawutshu J, Signorell A, Kalenga J-C, Mukomena E, Delvento G, Burri C, et al. Key factors predicting suspected severe malaria case management and health outcomes: an operational study in the Democratic Republic of the Congo. Malar J. 2022;21:274.

3. Ghana Statistical Service. Ghana Multiple Indicator Cluster Survey, 2011. Final report, Accra, Ghana. https://microdata.worldbank.org/index.php/catalog/2046. Accessed 14 Jun 2024.

4. Ghana Demographic and Health Survey. Key Indicators Report, 2022. Ghana Statistical Service, DHS Program. Accra, Ghana, and Rockville, USA. 2023.

5. Ghana Health Service. National Malaria Elimination Programme. https://ghs.gov.gh/national-malaria-elimination-program-nmep/. Accessed 22 May 2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3