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      Cost-effectiveness analysis of malaria rapid diagnostic tests: a systematic review

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          Abstract

          Background

          Rapid diagnostic tests (RDT) can effectively manage malaria cases and reduce excess costs brought by misdiagnosis. However, few studies have evaluated the economic value of this technology. The purpose of this study is to systematically review the economic value of RDT in malaria diagnosis.

          Main text

          A detailed search strategy was developed to identify published economic evaluations that provide evidence regarding the cost-effectiveness of malaria RDT. Electronic databases including MEDLINE, EMBASE, Biosis Previews, Web of Science and Cochrane Library were searched from Jan 2007 to July 2018. Two researchers screened studies independently based on pre-specified inclusion and exclusion criteria. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was applied to evaluate the quality of the studies. Then cost and effectiveness data were extracted and summarized in a narrative way.

          Fifteen economic evaluations of RDT compared to other diagnostic methods were identified. The overall quality of studies varied greatly but most of them were scored to be of high or moderate quality. Ten of the fifteen studies reported that RDT was likely to be a cost-effective approach compared to its comparisons, but the results could be influenced by the alternatives, study perspectives, malaria prevalence, and the types of RDT.

          Conclusions

          Based on available evidence, RDT had the potential to be more cost-effective than either microscopy or presumptive diagnosis. Further research is also required to draw a more robust conclusion.

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          Most cited references28

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          A review of malaria diagnostic tools: microscopy and rapid diagnostic test (RDT).

          The absolute necessity for rational therapy in the face of rampant drug resistance places increasing importance on the accuracy of malaria diagnosis. Giemsa microscopy and rapid diagnostic tests (RDTs) represent the two diagnostics most likely to have the largest impact on malaria control today. These two methods, each with characteristic strengths and limitations, together represent the best hope for accurate diagnosis as a key component of successful malaria control. This review addresses the quality issues with current malaria diagnostics and presents data from recent rapid diagnostic test trials. Reduction of malaria morbidity and drug resistance intensity plus the associated economic loss of these two factors require urgent scaling up of the quality of parasite-based diagnostic methods. An investment in anti-malarial drug development or malaria vaccine development should be accompanied by a parallel commitment to improve diagnostic tools and their availability to people living in malarious areas.
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            The changing epidemiology of malaria elimination: new strategies for new challenges.

            Malaria-eliminating countries achieved remarkable success in reducing their malaria burdens between 2000 and 2010. As a result, the epidemiology of malaria in these settings has become more complex. Malaria is increasingly imported, caused by Plasmodium vivax in settings outside sub-Saharan Africa, and clustered in small geographical areas or clustered demographically into subpopulations, which are often predominantly adult men, with shared social, behavioural, and geographical risk characteristics. The shift in the populations most at risk of malaria raises important questions for malaria-eliminating countries, since traditional control interventions are likely to be less effective. Approaches to elimination need to be aligned with these changes through the development and adoption of novel strategies and methods. Knowledge of the changing epidemiological trends of malaria in the eliminating countries will ensure improved targeting of interventions to continue to shrink the malaria map. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Malaria diagnosis: a brief review.

              Malaria is a major cause of death in tropical and sub-tropical countries, killing each year over 1 million people globally; 90% of fatalities occur in African children. Although effective ways to manage malaria now exist, the number of malaria cases is still increasing, due to several factors. In this emergency situation, prompt and effective diagnostic methods are essential for the management and control of malaria. Traditional methods for diagnosing malaria remain problematic; therefore, new technologies have been developed and introduced to overcome the limitations. This review details the currently available diagnostic methods for malaria.
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                Author and article information

                Contributors
                caojuncn@hotmail.com
                jiayanhuang@fudan.edu.cn
                Journal
                Infect Dis Poverty
                Infect Dis Poverty
                Infectious Diseases of Poverty
                BioMed Central (London )
                2095-5162
                2049-9957
                30 December 2019
                30 December 2019
                2019
                : 8
                : 104
                Affiliations
                [1 ]School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, Shanghai, 200032 China
                [2 ]GRID grid.452515.2, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, , Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, ; Wuxi, 214064 China
                [3 ]ISNI 0000 0000 9255 8984, GRID grid.89957.3a, Center for Global Health, School of Public Health, , Nanjing Medical University, ; Nanjing, 211166 China
                [4 ]ISNI 0000 0001 0708 1323, GRID grid.258151.a, Public Health Research Centre, , Jiangnan University, ; Wuxi, 214122 China
                Author information
                http://orcid.org/0000-0003-4166-6119
                Article
                615
                10.1186/s40249-019-0615-8
                6937952
                31888731
                ca352118-ff58-405b-84d8-1c64113d6e04
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 29 June 2019
                : 9 December 2019
                Funding
                Funded by: Natural Science Foundation of Jiangsu Province
                Award ID: BK20150001
                Award Recipient :
                Funded by: Jiangsu Provincial Department of Science and Technology
                Award ID: BE2018020
                Award Recipient :
                Funded by: Jiangsu Provincial Project of Invigorating Health Care through Science, Technology and Education
                Award ID: Not applicable
                Award Recipient :
                Categories
                Scoping Review
                Custom metadata
                © The Author(s) 2019

                malaria,rapid diagnostic test,microscopy,presumptive diagnosis,cost-effectiveness analysis

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