Evidence map›Paper›PMID 33575544›Full record

ArticleGates open research2020

What next after GDP-based cost-effectiveness thresholds?

Y-Ling Chi, Mark Blecher, Kalipso Chalkidou, Anthony Culyer, Karl Claxton, Ijeoma Edoka, Amanda Glassman, Noemi Kreif, Iain Jones, Andrew J Mirelman and 9 more

Abstract read
In one paragraph

Article in Gates open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Cost-Effectiveness of Current Therapeutic Strategies for Melanoma.Current treatment options in oncology · 2025
    Review
  13. Cost-Effectiveness of Screening and Treating Chronic Hepatitis C Virus Infection in Zimbabwe.International journal of environmental research and public health · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Net Monetary Benefit Lines Augmented with Value-of-Information Measures to Present the Results of Economic Evaluations under Uncertainty.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  19. Article
  20. 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

19 authors.

Y-Ling ChiCenter for Global Development, London, SW1P 3SE, UK.ORCID https://orcid.org/0000-0002-6902-0566
Mark BlecherNational Treasury, Pretoria, 0002, South Africa.
Kalipso ChalkidouCenter for Global Development, London, SW1P 3SE, UK.
Anthony CulyerCentre for Health Economics, Department of Economics and Related Studies, University of York, York, YO10 5DD, UK.ORCID https://orcid.org/0000-0002-8896-8491
Karl ClaxtonCentre for Health Economics, Department of Economics and Related Studies, University of York, York, YO10 5DD, UK.
Ijeoma EdokaSchool of Public Health, Wits University, Parktown, 2193, South Africa.
Amanda GlassmanCenter for Global Development, Washington, D.C., 20036, USA.
Noemi KreifCentre for Health Economics, Department of Economics and Related Studies, University of York, York, YO10 5DD, UK.ORCID https://orcid.org/0000-0001-9008-5690
Iain JonesSightsavers, Haywards Health, RH16 3BW, UK.
Andrew J MirelmanCentre for Health Economics, Department of Economics and Related Studies, University of York, York, YO10 5DD, UK.
Mardiati NadjibFaculty of Public Health, Department of Health Policy and Administration, Universitas Indonesia, Depok, Indonesia.
Alec MortonUniversity of Glasgow, Glasgow, UK.
Ole Frithjof NorheimBCEPS, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Jessica OchalekCentre for Health Economics, Department of Economics and Related Studies, University of York, York, YO10 5DD, UK.
Shankar PrinjaDepartment of Community Medicine & School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
Francis RuizCenter for Global Development, London, SW1P 3SE, UK.ORCID https://orcid.org/0000-0001-5183-3959
Yot TeerawattananonHealth Intervention and Technology Assessment Program, Ministry of Public Health, Thailand, Nonthaburi, 11000, Thailand.
Anna VassallDepartment of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, WC1H 9SH, UK.
Alexander WinchDepartment of Infectious Disease Epidemiology, Imperial College London, London, SW7 2AZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public payers around the world are increasingly using cost-effectiveness thresholds (CETs) to assess the value-for-money of an intervention and make coverage decisions. However, there is still much confusion about the meaning and uses of the CET, how it should be calculated, and what constitutes an adequate evidence base for its formulation. One widely referenced and used threshold in the last decade has been the 1-3 GDP per capita, which is often attributed to the Commission on Macroeconomics and  WHO guidelines on Choosing Interventions that are Cost Effective (WHO-CHOICE). For many reasons, however, this threshold has been widely criticised; which has led experts across the world, including the WHO, to discourage its use. This has left a vacuum for policy-makers and technical staff at a time when countries are wanting to move towards Universal Health Coverage

Indexed as

cost-effectiveness analysisCost-effectiveness thresholdshealth opportunity costpriority setting

Identifiers

PMID33575544
PMCPMC7851575

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.