Evidence map›Paper›PMID 17803332›Full record

ArticlePharmacoEconomics2007

The increasingly complex fourth hurdle for pharmaceuticals.

Joshua Cohen, Elly Stolk, Maartje Niezen

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Accuracy of budget impact estimations and impact on patient access: a hepatitis C case study.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Article
  2. Article
  3. Article
  4. Article
  5. Relationship between financial impact and coverage of drugs in Australia.International journal of technology assessment in health care · 2013
    Article
  6. Review
  7. How to assess the value of medicines?Frontiers in pharmacology · 2010
    Article
  8. Review
  9. Article
  10. Health economic assessment: a methodological primer.International journal of environmental research and public health · 2009
    Review
  11. 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

3 authors.

Joshua CohenTufts Center for Study of Drug Development, Boston, Massachusetts 02111, USA. joshua.cohen@tufts.edu
Elly Stolk
Maartje Niezen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are three known criteria that underlie drug reimbursement decisions: therapeutic value, cost effectiveness and burden of disease. However, evidence from recent reimbursement decisions in several jurisdictions points to residual unexplained variables, one of which may be budget impact. An economic rationale for carrying out budget impact analyses is opportunity cost, measured by the economic benefits foregone by using resources in one way rather than another. Under certain assumptions, cost-effectiveness analysis accounts for opportunity cost while conveying to the decision maker the price of maximising health gains, subject to a budget constraint. However, the underlying assumptions are implausible, particularly in the context of pharmaceutical care. Although drugs that are cost effective may lead to unambiguous health gains among patient groups for whom the drugs are indicated, the opportunity costs could conceivably lead to a reduction in aggregate health gains, or failure to meet different kinds of equity considerations. The pertinent policy question is where to find the resources to fund new innovations, such as cost-effective pharmaceuticals, or drugs targeting severe diseases. It may be a matter of redeployment of resources across healthcare sectors, cancelling the funding of (older) pharmaceuticals that are less cost effective, or delisting drugs that are cost effective but target less burdensome conditions.

Indexed as

Insurance, Health, ReimbursementInsurance, Pharmaceutical ServicesCost-Benefit AnalysisCost of IllnessDecision MakingHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.