Literature DB >> 17803332

The increasingly complex fourth hurdle for pharmaceuticals.

Joshua Cohen1, Elly Stolk, Maartje Niezen.   

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.

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Year:  2007        PMID: 17803332     DOI: 10.2165/00019053-200725090-00002

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  31 in total

1.  Cost-effectiveness analysis and the consistency of decision making: evidence from pharmaceutical reimbursement in australia (1991 to 1996).

Authors:  B George; A Harris; A Mitchell
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

2.  Should public policy seek to control the growth of health care spending?

Authors:  Henry J Aaron
Journal:  Health Aff (Millwood)       Date:  2003 Jan-Jun       Impact factor: 6.301

3.  The drug budget silo mentality: the French case.

Authors:  Claude Le Pen
Journal:  Value Health       Date:  2003 Jul-Aug       Impact factor: 5.725

4.  National Institute for Clinical Excellence and its value judgments.

Authors:  Michael D Rawlins; Anthony J Culyer
Journal:  BMJ       Date:  2004-07-24

5.  Priority setting for pharmaceuticals. The use of health economic evidence by reimbursement and clinical guidance committees.

Authors:  Anders Anell
Journal:  Eur J Health Econ       Date:  2004-02

Review 6.  Is economic evaluation in touch with society's health values?

Authors:  Joanna Coast
Journal:  BMJ       Date:  2004-11-20

7.  AMCP Format dossier requests: manufacturer response and formulary implications for one large health plan.

Authors:  Joshua J Spooner; Pranav K Gandhi; Susan Brown Connelly
Journal:  J Manag Care Pharm       Date:  2007 Jan-Feb

8.  Patient access to pharmaceuticals: an international comparison.

Authors:  Joshua Cohen; Laura Faden; Susan Predaris; Brian Young
Journal:  Eur J Health Econ       Date:  2007-02-06

9.  Using economic evidence in reimbursement decisions for health technologies: experience of 4 countries.

Authors:  A Harris; M Buxton; B O'Brien; F R Drummond
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2001-10       Impact factor: 2.217

10.  Comparing patient access to pharmaceuticals in the UK and US.

Authors:  Joshua Cohen; Catherine Cairns; Cherie Paquette; Laura Faden
Journal:  Appl Health Econ Health Policy       Date:  2006       Impact factor: 2.561

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  10 in total

1.  Unravelling drug reimbursement outcomes: a comparative study of the role of pharmacoeconomic evidence in Dutch and Swedish reimbursement decision making.

Authors:  Margreet Franken; Fredrik Nilsson; Frank Sandmann; Anthonius de Boer; Marc Koopmanschap
Journal:  Pharmacoeconomics       Date:  2013-09       Impact factor: 4.981

Review 2.  Should financial incentives be used to differentially reward 'me-too' and innovative drugs?

Authors:  Brita Pekarsky
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

3.  Healthcare rationing by proxy: cost-effectiveness analysis and the misuse of the $50,000 threshold in the US.

Authors:  John F P Bridges; Eberechukwu Onukwugha; C Daniel Mullins
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

Review 4.  Recent national and regional drug reforms in Sweden: implications for pharmaceutical companies in Europe.

Authors:  Björn Wettermark; Brian Godman; Karolina Andersson; Lars L Gustafsson; Alan Haycox; Vittorio Bertele
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

5.  How to assess the value of medicines?

Authors:  Steven Simoens
Journal:  Front Pharmacol       Date:  2010-09-07       Impact factor: 5.810

Review 6.  Comparing pharmaceutical pricing and reimbursement policies in Croatia to the European Union Member States.

Authors:  Sabine Vogler; Claudia Habl; Martina Bogut; Luka Voncina
Journal:  Croat Med J       Date:  2011-04-15       Impact factor: 1.351

7.  Critical Appraisal of Reimbursement List in Bosnia and Herzegovina.

Authors:  Sabina Mujkic; Valentina Marinkovic
Journal:  Front Pharmacol       Date:  2017-03-17       Impact factor: 5.810

Review 8.  Health economic assessment: a methodological primer.

Authors:  Steven Simoens
Journal:  Int J Environ Res Public Health       Date:  2009-11-27       Impact factor: 3.390

9.  Relationship between financial impact and coverage of drugs in Australia.

Authors:  Josephine Mauskopf; Costel Chirila; Catherine Masaquel; Kristina S Boye; Lee Bowman; Julie Birt; David Grainger
Journal:  Int J Technol Assess Health Care       Date:  2012-12-10       Impact factor: 2.188

10.  Orphan drugs expenditure in the Netherlands in the period 2006-2012.

Authors:  Tim A Kanters; Adri Steenhoek; Leona Hakkaart
Journal:  Orphanet J Rare Dis       Date:  2014-10-11       Impact factor: 4.123

  10 in total

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