Evidence map›Paper›PMID 26763594›Full record

ArticleHealth economics2016

Using Top-down and Bottom-up Costing Approaches in LMICs: The Case for Using Both to Assess the Incremental Costs of New Technologies at Scale.

Lucy Cunnama, Edina Sinanovic, Lebogang Ramma, Nicola Foster, Leigh Berrie, Wendy Stevens, Sebaka Molapo, Puleng Marokane, Kerrigan McCarthy, Gavin Churchyard and 1 more

Abstract read
In one paragraph

Article in Health economics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

73 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  10. Cost of point-of-care lateral flow urine lipoarabinomannan antigen testing in HIV-positive adults in South Africa.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2018
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13 more citing papers are in PubMed but not listed here.

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

11 authors.

Lucy CunnamaHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Edina SinanovicHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Lebogang RammaHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Nicola FosterHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Leigh BerrieNational Priority Programmes, National Health Laboratory Services, Johannesburg, South Africa.
Wendy StevensNational Priority Programmes, National Health Laboratory Services, Johannesburg, South Africa.
Sebaka MolapoNational Priority Programmes, National Health Laboratory Services, Johannesburg, South Africa.
Puleng MarokaneNational Priority Programmes, National Health Laboratory Services, Johannesburg, South Africa.
Kerrigan McCarthyAurum Institute for Health Research, Johannesburg, South Africa.
Gavin ChurchyardAurum Institute for Health Research, Johannesburg, South Africa.
Anna VassallLondon School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEstimating the incremental costs of scaling-up novel technologies in low-income and middle-income countries is a methodologically challenging and substantial empirical undertaking, in the absence of routine cost data collection. We demonstrate a best practice pragmatic approach to estimate the incremental costs of new technologies in low-income and middle-income countries, using the example of costing the scale-up of Xpert Mycobacterium tuberculosis (MTB)/resistance to riframpicin (RIF) in South Africa. MATERIALS AND

methodsWe estimate costs, by applying two distinct approaches of bottom-up and top-down costing, together with an assessment of processes and capacity.

resultsThe unit costs measured using the different methods of bottom-up and top-down costing, respectively, are $US16.9 and $US33.5 for Xpert MTB/RIF, and $US6.3 and $US8.5 for microscopy. The incremental cost of Xpert MTB/RIF is estimated to be between $US14.7 and $US17.7. While the average cost of Xpert MTB/RIF was higher than previous studies using standard methods, the incremental cost of Xpert MTB/RIF was found to be lower.

conclusionCosts estimates are highly dependent on the method used, so an approach, which clearly identifies resource-use data collected from a bottom-up or top-down perspective, together with capacity measurement, is recommended as a pragmatic approach to capture true incremental cost where routine cost data are scarce.

Indexed as

Developing CountriesHealth Care CostsTechnology Assessment, BiomedicalCost-Benefit AnalysisData Interpretation, StatisticalHumansInventionsMycobacterium tuberculosisSouth AfricaTuberculosis, Pulmonarycost analysisdiagnosticseconomies of scaleLMICsscale-uptuberculosis

Identifiers

PMID26763594
PMCPMC5066665

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LicenceCC BY-NC
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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.