Evidence map›Paper›PMID 35998960›Full record

ArticleBMJ open2022

Cost-effectiveness of GeneXpert Omni compared with GeneXpert MTB/Rif for point-of-care diagnosis of tuberculosis in a low-resource, high-burden setting in Eastern Uganda: a cost-effectiveness analysis based on decision analytical modelling.

David Livingstone Ejalu, Aaron Irioko, Rhoda Kirabo, Aggrey David Mukose, Elizabeth Ekirapa, Joseph Kagaayi, Juliana Namutundu

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

David Livingstone EjaluFaculty of Health Sciences, Uganda Martyrs University, Kampala, Uganda.ORCID 0000-0003-1828-6046
Aaron IriokoDepartment of Epidemiology and Biostatistics, Makerere University, College of Health Sciences, School of Public Health, Kampala, Uganda.
Rhoda KiraboDepartment of Epidemiology and Biostatistics, Makerere University, College of Health Sciences, School of Public Health, Kampala, Uganda.
Aggrey David MukoseDepartment of Epidemiology and Biostatistics, Makerere University, College of Health Sciences, School of Public Health, Kampala, Uganda.
Elizabeth EkirapaDepartment of Health Policy Planning and Management, Marerere University College of Health Sciences, School of Public Health, Kampala, Uganda.
Joseph KagaayiDepartment of Epidemiology and Biostatistics, Makerere University, College of Health Sciences, School of Public Health, Kampala, Uganda.
Juliana NamutunduDepartment of Epidemiology and Biostatistics, Makerere University, College of Health Sciences, School of Public Health, Kampala, Uganda jnamutundu@gmail.com.
Makerere University · UGUganda Management Institute · UGUganda Martyrs University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the cost-effectiveness of Xpert Omni compared with Xpert MTB/Rif for point-of-care diagnosis of tuberculosis among presumptive cases in a low-resource, high burden facility.

designCost-effectiveness analysis from the provider's perspective.

settingA low-resource, high tuberculosis burden district in Eastern Uganda.

participantsA provider's perspective was used, and thus, data were collected from experts in the field of tuberculosis diagnosis purposively selected at the local, subnational and national levels.

methodsA decision analysis model was contracted from TreeAge comparing Xpert MTB/Rif and Xpert Omni. Cost estimation was done using the ingredients' approach. One-way deterministic sensitivity analyses were performed to identify the most influential model parameters. OUTCOME MEASURE: The outcome measure was incremental cost per additional test diagnosed expressed as the incremental cost-effectiveness ratio.

resultsThe total cost per test for Xpert MTB/Rif was US$14.933. Cartridge and reagent kits contributed to 67% of Xpert MTB/Rif costs. Sample transport costs increased the cost per test of Xpert MTB/Rif by $1.28. The total cost per test for Xpert Omni was $16.153. Cartridge and reagent kits contributed to over 71.2% of Xpert Omni's cost per test. The incremental cost-effectiveness ratio for using Xpert Omni as a replacement for Xpert MTB/Rif was US$30.73 per additional case detected. There was no dominance noted in the cost-effectiveness analysis, meaning no strategy was dominant over the other.

conclusionThe use of Xpert Omni at the point-of-care health facility was more effective but with an increased cost compared with Xpert MTB/Rif at the centralised referral testing facility.

Indexed as

Mycobacterium tuberculosisTuberculosisCost-Benefit AnalysisHumansPoint-of-Care SystemsSensitivity and SpecificitySputumUgandaepidemiologyhealth economicshealth policypublic health

Identifiers

PMID35998960
PMCPMC9403108
OpenAlexW4292774296

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.