Evidence map›Paper›PMID 29427072›Full record

ReviewPharmacoEconomics2018

Cost-Effectiveness Thresholds: the Past, the Present and the Future.

Praveen Thokala, Jessica Ochalek, Ashley A Leech, Thaison Tong

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 9 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

105 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  5. Costs and Cost-Effectiveness of Malaria Control Interventions: A Systematic Literature Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
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45 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

4 authors.

Praveen ThokalaHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK. p.thokala@sheffield.ac.uk.ORCID http://orcid.org/0000-0003-4122-2366
Jessica OchalekCentre for Health Economics, University of York, Heslington, York, YO10 5DD, UK.
Ashley A LeechCenter for the Evaluation of Value and Risk in Health (CEVR), Tufts Medical Center, Boston, MA, 02111, USA.
Thaison TongHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cost-effectiveness (CE) thresholds are being discussed more frequently and there have been many new developments in this area; however, there is a lack of understanding about what thresholds mean and their implications. This paper provides an overview of the CE threshold literature. First, the meaning of a CE threshold and the key assumptions involved (perfect divisibility, marginal increments in budget, etc.) are highlighted using a hypothetical example, and the use of historic/heuristic estimates of the threshold is noted along with their limitations. Recent endeavours to estimate the empirical value of the thresholds, both from the supply side and the demand side, are then presented. The impact on CE thresholds of future directions for the field, such as thresholds across sectors and the incorporation of multiple criteria beyond quality-adjusted life-years as a measure of 'value', are highlighted. Finally, a number of common issues and misconceptions associated with CE thresholds are addressed.

Indexed as

Cost-Benefit AnalysisHealth Care CostsHumansQuality-Adjusted Life Years

Identifiers

What OpenQuestion holds

Textmetadata
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.