Evidence map›Paper›PMID 27226844›Full record

ArticleJournal of market access & health policy2014

Health economic value of an innovation: delimiting the scope and framework of future market entry agreements.

Robert Launois, Lucia Fiestas Navarrete, Olivier Ethgen, Jean-Gabriel Le Moine, René Gatsinga

Abstract read
In one paragraph

Article in Journal of market access & health policy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
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

5 authors.

Robert LaunoisFrench Network for Evaluation in Health Economics, Paris, France.
Lucia Fiestas NavarreteFrench Network for Evaluation in Health Economics, Paris, France.
Olivier EthgenResearch Unit for the Economic Evaluation of Medical Innovation, University of Liege, Liege, Belgium.
Jean-Gabriel Le MoineFrench Network for Evaluation in Health Economics, Paris, France.
René GatsingaFrench Network for Evaluation in Health Economics, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe objective of our paper is to offer a new, payer-friendly taxonomy of market entry agreements (MEAs) that aims to twin contracts with their methodological designs in an effort to clarify the distinction between contracts that are based on performance and those that are based on demonstrated effect.

methodsOur analysis proceeds in two stages: First, we delimit the scope and framework of pay for performance (P4P) and pay for demonstrated effect (P4E) agreements. Second, we distinguish the methodological designs supporting the implementation of each of these contracts.

resultsWe elucidate why P4P contracts prevent the payer from funding the true effectiveness of an innovation by expanding on their limitations. These include: 1) the normative nature of comparisons, 2) the impossibility of true effect imputability for each individual, and 3) the use of intermediary outcome measures. We then explore three main criticisms that payers must take into account when reasoning in terms of performance rather than in terms of the product effectiveness.

conclusionThe potential effect that performance-based reimbursements may have on dissociating the components of the cost-effectiveness ratio constitutes an obstacle to a true health economic reasoning.

Indexed as

comparative effectiveness researchcost-effectiveness studiespay for performance contractrisk sharing

Identifiers

PMID27226844
PMCPMC4865800

What OpenQuestion holds

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Registered trials

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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.