Evidence map›Paper›PMID 34887355›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Economic evaluation of disease elimination: An extension to the net-benefit framework and application to human African trypanosomiasis.

Marina Antillon, Ching-I Huang, Kat S Rock, Fabrizio Tediosi

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Trial
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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

4 authors.

Marina AntillonEpidemiology and Public Health, Swiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland; marina.antillon@swisstph.ch.ORCID 0000-0002-0235-6030
Ching-I HuangZeeman Institute, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0002-8329-8310
Kat S RockZeeman Institute, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0001-8414-7648
Fabrizio TediosiEpidemiology and Public Health, Swiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland.ORCID 0000-0001-8671-9400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global health community has earmarked a number of diseases for elimination or eradication, and these goals have often been praised on the premise of long-run cost savings. However, decision makers must contend with a multitude of demands on health budgets in the short or medium term, and costs per case often rise as the burden of a disease falls, rendering such efforts beyond the cost-effective use of scarce resources. In addition, these decisions must be made in the presence of substantial uncertainty regarding the feasibility and costs of elimination or eradication efforts. Therefore, analytical frameworks are necessary to consider the additional effort for reaching global goals, like elimination or eradication, that are beyond the cost-effective use of country resources. We propose a modification to the net-benefit framework to consider the implications of switching from an optimal strategy, in terms of cost-per-burden averted, to a strategy with a higher likelihood of meeting the global target of elimination or eradication. We illustrate the properties of our framework by considering the economic case of efforts to eliminate the transmission of

Indexed as

Models, EconomicDisease EradicationHumansTrypanosoma brucei gambienseTrypanosomiasis, Africaneconomic evaluationeliminationeradicationmathematical modeling

Identifiers

PMID34887355
PMCPMC8685684

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.