Evidence map›Paper›PMID 25089121›Full record

ArticleCost effectiveness and resource allocation : C/E2014

Making use of equity sensitive QALYs: a case study on identifying the worse off across diseases.

Frode Lindemark, Ole Frithjof Norheim, Kjell Arne Johansson

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Using Cost-Effectiveness Analysis to Address Health Equity Concerns.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2017
    Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Frode LindemarkDepartment of Research and Development, Haukeland University Hospital, Jonas Liesvei 65, 5021 Bergen, Norway.
Ole Frithjof NorheimDepartment of Research and Development, Haukeland University Hospital, Jonas Liesvei 65, 5021 Bergen, Norway.
Kjell Arne JohanssonDepartment of Research and Development, Haukeland University Hospital, Jonas Liesvei 65, 5021 Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResource allocation decisions currently lack standard quantitative methods for incorporating concerns about the worse off when analysing the cost-effectiveness of medical interventions.

objectiveTo explore and demonstrate how to identify who are the worse off without a new intervention by measuring lifetime Quality-Adjusted Life Years (QALYs) for patients across different conditions, and compare the results to using proportional shortfall of QALYs.

methodsCase study of eight condition-intervention pairs that are relevant to priority setting in Norway; childhood deafness (unilateral cochlear implant), unruptured cerebral aneurysm (coiling), morbid obesity (RY gastric bypass), adult deafness (unilateral cochlear implant), atrial fibrillation (catheter ablation), hip osteoarthritis (hip replacement), rheumatoid arthritis (TNF inhibitor) and acute stroke (stroke unit). We extracted prospective QALYs without and with new interventions from published health technology assessments and economic evaluations.

resultsAmong the eight cases, the lifetime QALY method and the proportional shortfall method yielded conflicting worse-off rank orders. Particularly two conditions had a substantial shift in ranking across the applications of the two methods: childhood deafness and acute stroke. Deaf children had the lowest expected lifetime QALYs (38.5 without a cochlear implant) and were worst off according to the lifetime approach, while patients with acute stroke had the second-highest lifetime QALYs (76.4 without stroke units). According to proportional shortfall of QALYs, patients with acute stroke were ranked as worse off than deaf children, which seems counterintuitive.

conclusionThis study shows that it is feasible to identify who are the worse off empirically by the application of lifetime QALYs and proportional shortfalls. These methods ease further examination of whether there is a true conflict between maximization and equity or whether these two concerns actually coincide in real world cases. It is yet to be solved whether proportional prospective health losses are more important than absolute shortfalls in expected lifetime health in judgements about who are worse off.

Indexed as

EquityHealthcare rationingPriority setting in healthQuality-adjusted life yearsSeverity

Identifiers

PMID25089121
PMCPMC4118218

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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.