Evidence map›Paper›PMID 32993762›Full record

ArticleInfectious diseases of poverty2020

Cost-effectiveness analysis of malaria rapid diagnostic test in the elimination setting.

Yan-Qiu Du, Xiao-Xiao Ling, Jia-Jie Jin, Hua-Yun Zhou, Si Zhu, Guo-Ding Zhu, Wei Wang, Jun Cao, Jia-Yan Huang

Open access · goldAbstract readComparative Study
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  4. Review
  5. Aptamer-Based Technologies for Parasite Detection.Sensors (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Yan-Qiu DuKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China.
Xiao-Xiao LingDepartment of Statistical Science, University College London, WC1E 6BT, London, UK.
Jia-Jie JinKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China.
Hua-Yun ZhouNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China.
Si ZhuKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China.
Guo-Ding ZhuNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China.
Wei WangKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China.
Jun CaoNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China. caojuncn@hotmail.com.
Jia-Yan HuangKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China. jiayanhuang@fudan.edu.cn.ORCID http://orcid.org/0000-0003-4166-6119
Fudan University · CNJiangnan University · CNJiangsu Institute of Parasitic Diseases · CNUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs more and more countries approaching the goal of malaria elimination, malaria rapid diagnostic tests (RDT) was recomendated to be a diagnostic strategy to achieve and maintain the statute of malaria free, as it's less requirments on equipment and experitise than microscopic examination. But there are very few economic evaluations to confirm whether RDT was cost-effective in the setting of malaria elimination. This research aimed to offer evidence for helping decision making on malaria diagnosis strategy.

methodsA cost-effectiveness analysis was conducted to compare RDT with microscopy examination for malaria diagnosis, by using a decision tree model. There were three strategies of malaria diagnostic testing evaluated in the model, 1) microscopy, 2) RDT, 3) RDT followed by microscopy. The effect indicator was defined as the number of malaria cases treated appropriately. Based on the joint perspective of health sector and patient, costs data were collected from hospital information systems, key informant interviews, and patient surveys. Data collection was conducted in Jiangsu from September 2018 to January 2019. Epidemiological data were obtained from local malaria surveillance reports. A hypothetical cohort of 300 000 febrile patients were simulated to calculate the total cost and effect of each strategy. One-way, two-way, and probabilistic sensitivity analysis were performed to test the robustness of the result.

resultsThe results showed that RDT strategy was the most effective (245 cases) but also the most costly (United States Dollar [USD] 4.47 million) compared to using microscopy alone (238 cases, USD 3.63 million), and RDT followed by microscopy (221 cases, USD 2.75 million). There was no strategy dominated. One-way sensitivity analysis reflected that the result was sensitive to the change in labor cost and two-way sensitivity analysis indicated that the result was not sensitive to the proportion of falciparum malaria. The result of Monte Carlo simulation showed that RDT strategy had higher effects and higher cost than other strategies with a high probability.

conclusionsCompared to microscopy and RDT followed by microscopy, RDT strategy had higher effects and higher cost in the setting of malaria elimination.

Indexed as

Cost-Benefit AnalysisDecision MakingDiagnostic Tests, RoutineEvidence-Based MedicineFemaleHumansMalariaMaleMicroscopyMonte Carlo MethodPlasmodiumSensitivity and SpecificityCost-effectiveness analysisMalaria eliminationMicroscopyMonte Carlo simulationRapid diagnostic test

Identifiers

PMID32993762
PMCPMC7523355
OpenAlexW3090039973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.