Original Article
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Patterns of malaria diagnosis among healthcare facilities in Anambra state, Nigeria | ||||||
Dennis Nnanna Aribodor1, Success Chidiebere Nnabuenyi1, Ogechukwu Benedicta Aribodor2, Obiora Shedrack Ejiofor3, Ifeoma Kosisochukwu Ugwuanyi1 | ||||||
1Department of Parasitology and Entomology, Faculty of Biosciences, Nnamdi Azikiwe University, Anambra State, Nigeria
2Department of Zoology, Faculty of Biosciences, Nnamdi Azikiwe University, Anambra State, Nigeria 3Department of Pediatrics, Chukwuemeka Odumegwu Ojukwu University Teaching Hospital, Anambra State, Nigeria | ||||||
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How to cite this article |
Aribodor DN, Nnabuenyi SC, Aribodor OB, Ejiofor OS, Ugwuanyi IK. Patterns of malaria diagnosis among healthcare facilities in Anambra state, Nigeria. Edorium J Infect Dis 2017;3:12–16. |
ABSTRACT
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Aims:
A key component to effective case management of malaria is prompt and accurate diagnosis of the infection. In essence, efficient diagnosis of malaria parasite is very vital for treatment of malaria infection. The present study was designed to evaluate the pattern of malaria diagnosis among healthcare facilities in Awka, Anambra state, Nigeria.
Methods: Pre-tested questionnaires were used to collect information from the selected healthcare facilities-both government and private-owned. Results: Government-owned hospitals used microscopy (50%) and Rapid Diagnostic Tests (RDT) (50%). Similarly, private-owned hospitals also utilized microscopy (75%) and RDT (25%). The private-owned medical laboratories based their diagnosis on microscopy alone while patent medicine vendors (PMV) utilized clinical or presumptive diagnosis. The study revealed that majority of the healthcare facilities utilized microscopy which is the gold standard in diagnosis of malaria. Conclusion: Results of this study demonstrated significant difference on pattern of malaria diagnosis between public and private-owned healthcare facilities. | |
Keywords: Diagnosis, Healthcare facilities, Malaria |
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Acknowledgements
We wish to appreciate respondents and owners of the surveyed healthcare facilities, who voluntarily participated in this study. |
Author Contributions
Dennis Nnanna Aribodor – Substantial contributions to conception and design, Acquisition of data, Acquisition of data, Analysis and interpretation of data, Final approval of the version to be published Success Chidiebere Nnabuenyi – Substantial contributions to conception and design, Acquisition of data, Acquisition of data, Analysis and interpretation of data, Drafting the article, Revising it critically for important intellectual content, Final approval of the version to be published Ogechukwu Benedicta Aribodor – Acquisition of data, Drafting the article, Revising it critically for important intellectual content, Final approval of the version to be published Obiora Shedrack Ejiofor – Acquisition of data, Analysis and interpretation of data, Drafting the article, Revising it critically for important intellectual content, Final approval of the version to be published Ifeoma Kosisochukwu Ugwuanyi – Acquisition of data, Analysis and interpretation of data, Drafting the article, Revising it critically for important intellectual content, Final approval of the version to be published |
Guarantor of submission
The corresponding author is the guarantor of submission. |
Source of support
None |
Conflict of interest
Authors declare no conflict of interest. |
Copyright
© 2017 Dennis Nnanna Aribodor et al. This article is distributed under the terms of Creative Commons Attribution License which permits unrestricted use, distribution and reproduction in any medium provided the original author(s) and original publisher are properly credited. Please see the copyright policy on the journal website for more information. |
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