Evidence map›Paper›PMID 32812212›Full record

SynthesisApplied health economics and health policy2021

Is the Choice of Cost-Effectiveness Threshold in Cost-Utility Analysis Endogenous to the Resulting Value of Technology? A Systematic Review.

William V Padula, Hui-Han Chen, Charles E Phelps

Abstract readSystematic Review
In one paragraph

Synthesis in Applied health economics and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Factors associated with the author-reported cost-effectiveness threshold in high-income countries: systematic review and multivariable modelling.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Cost-Effectiveness Threshold for Healthcare: Justification and Quantification.Inquiry : a journal of medical care organization, provision and financing
    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

3 authors.

William V PadulaDepartment of Pharmaceutical and Health Economics, School of Pharmacy, University of Southern California, Los Angeles, CA, USA. padula@usc.edu.ORCID 0000-0003-1161-6954
Hui-Han ChenDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
Charles E PhelpsDepartments of Economics and Public Health Sciences, University of Rochester, Rochester, NY, USA.

Funding

Mentored Career DevelopmentKL2TR001854 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Elizabeth Rhea Erwin Burner, Amy Elizabeth West · 2016 to 2026
$9.0M
NCATS NIH HHS KL2 TR001854
6 · The paper itself

Abstract

backgroundCost-utility analysis (CUA) is widely used for health technology assessment; however, concerns exist that cost-utility analysts may suggest higher cost-effectiveness thresholds (CETs) to compensate for technologies of relatively lower value.

objectiveWe explored whether selection of a CUA study's CET was endogenous to estimated incremental cost-effectiveness ratios (ICERs).

methodsWe systematically reviewed the US cost-effectiveness literature between 2000 and 2017 where studies with explicit CET and ICERs were included. We classified the ratio of studies hypothesized to analyze cost-effective technologies at low CETs (i.e., less than $100,000/quality-adjusted life-year [QALY]) vs higher CETs (i.e., $100,000-$150,000/QALY) relative to their ICER, using a Chi square test to examine whether technologies that were cost effective at high CETs would still be cost effective at lower thresholds. We also performed fixed-effects linear regression exploring the associations between ICERs and reported CETs over time.

resultsAmong 317 ICERs reviewed: (A) 185 had an ICER < $50,000/QALY; (B) 53 had $50,000 ≤ ICER, < $100,000; (C) 20 had $100,000 ≤ ICER < $150,000; and (D) 59 had an ICER ≥ $150,000. Chi square testing showed a strong association (p < 0.001) between estimated ICER values and chosen CET, illustrating a lack of independence between the two. The regression analysis indicated that CETs have a baseline value of $52,000 and grow by $0.37 for each dollar increase in the estimated ICER.

conclusionsCost-effectiveness thresholds represent the hypothesis tests of typical CUAs. Our analysis highlights that most CUAs that cite high CETs also result in greater ICERs for the novel interventions that they investigate; thus, these interventions would otherwise not have been cost effective at lower CETs. Selection of a CET may come after the ICER is calculated to infer value that suits a hypothesis.

Indexed as

TechnologyTechnology Assessment, BiomedicalCost-Benefit AnalysisHumansQuality-Adjusted Life Years

Identifiers

PMID32812212
PMCPMC10896216

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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.