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

Cost-effectiveness analysis Malaria Microscopy Presumptive diagnosis Rapid diagnostic test

Journal

Infectious diseases of poverty
ISSN: 2049-9957
Titre abrégé: Infect Dis Poverty
Pays: England
ID NLM: 101606645

Informations de publication

Date de publication:
30 Dec 2019
Historique:
received: 29 06 2019
accepted: 09 12 2019
entrez: 1 1 2020
pubmed: 1 1 2020
medline: 1 4 2020
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

BACKGROUND 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 METHODS
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 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.

Identifiants

pubmed: 31888731
doi: 10.1186/s40249-019-0615-8
pii: 10.1186/s40249-019-0615-8
pmc: PMC6937952
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

104

Subventions

Organisme : Natural Science Foundation of Jiangsu Province
ID : BK20150001
Organisme : Jiangsu Provincial Department of Science and Technology
ID : BE2018020
Organisme : Jiangsu Provincial Project of Invigorating Health Care through Science, Technology and Education
ID : Not applicable

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Auteurs

Xiao-Xiao Ling (XX)

School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, Shanghai, 200032, China.

Jia-Jie Jin (JJ)

School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, Shanghai, 200032, China.

Guo-Ding Zhu (GD)

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.
Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Public Health Research Centre, Jiangnan University, Wuxi, 214122, China.

Wei-Ming Wang (WM)

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.

Yuan-Yuan Cao (YY)

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.

Meng-Meng Yang (MM)

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.

Hua-Yun Zhou (HY)

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.

Jun Cao (J)

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. caojuncn@hotmail.com.
Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. caojuncn@hotmail.com.
Public Health Research Centre, Jiangnan University, Wuxi, 214122, China. caojuncn@hotmail.com.

Jia-Yan Huang (JY)

School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, Shanghai, 200032, China. jiayanhuang@fudan.edu.cn.

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