Evidence map›Paper›PMID 31039064›Full record

ArticleJournal of managed care & specialty pharmacy2019

Can We Develop Sustainable and Sharable Cost-Effectiveness Models for Value Assessment in the U.S. Health Care System?

Richard H Chapman, Varun Kumar

Abstract readComment
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Richard H Chapman1 Director of Health Economics, andHealth Economist, Institute for Clinical and Economic Review, Boston, Massachusetts.
Varun Kumar2 Health Economist, Institute for Clinical and Economic Review, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is currently a movement to make economic models more transparent, with some arguing for completely open-source models. However, increasing model transparency raises several logistical challenges, including ownership and funding. This article outlines recent experience and approaches to some of the logistical hurdles that must be overcome in pursuit of more transparent economic models. The Institute for Clinical and Economic Review (ICER) has recently completed a pilot transparency initiative that made drafts of executable economic models available to involved drug manufacturers during the review process. By directly viewing and interacting with models' structures, inputs, key assumptions, and results, stakeholders were better equipped to provide valuable feedback as part of the health technology assessments. This experience, along with feedback received from the modeling collaborators and relevant manufacturers during this pilot, have helped determine ICER's approach to sharing economic models associated with ongoing and future evidence reviews. This process has been expanded to all assessments going forward, making it the standard approach to model transparency. DISCLOSURES: No outside funding supported the writing of this article. Both authors are employees of the Institute for Clinical and Economic Review (ICER), which is an an independent organization that evaluates the evidence on the value of health care interventions. ICER receives grant funding from the California Healthcare Foundation, Laura and John Arnold Foundation, and New England States Consortium Systems Organization. ICER's annual policy summit is supported by dues from Aetna, AHIP, Allergan, Alnylam, Anthem, AstraZeneca, Biogen, Blue Shield of California, Cambia Health Services, CVS Caremark, Editas, Express Scripts, Genentech, GlaxoSmithKline, Harvard Pilgrim Health Care, Health Care Service Corporation, Health Partners, Johnson & Johnson, Kaiser Permanente, LEO, Mallinckrodt, Merck, National Pharmaceutical Council, Novartis, Premera, Prime Therapeutics, Regeneron, Sanofi, Spark Therapeutics, and United Healthcare.

Indexed as

Models, EconomicCaliforniaCost-Benefit Analysis

Identifiers

PMID31039064
PMCPMC10397955

What OpenQuestion holds

Textmetadata
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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.