Literature DB >> 20132213

Principles of pharmacoeconomics and their impact on strategic imperatives of pharmaceutical research and development.

József Bodrogi1, Zoltán Kaló.   

Abstract

The importance of evidence-based health policy is widely acknowledged among health care professionals, patients and politicians. Health care resources available for medical procedures, including pharmaceuticals, are limited all over the world. Economic evaluations help to alleviate the burden of scarce resources by improving the allocative efficiency of health care financing. Reimbursement of new medicines is subject to their cost-effectiveness and affordability in more and more countries. There are three major approaches to calculate the cost-effectiveness of new pharmaceuticals. Economic analyses alongside pivotal clinical trials are often inconclusive due to the suboptimal collection of economic data and protocol-driven costs. The major limitation of observational naturalistic economic evaluations is the selection bias and that they can be conducted only after registration and reimbursement. Economic modelling is routinely used to predict the cost-effectiveness of new pharmaceuticals for reimbursement purposes. Accuracy of cost-effectiveness estimates depends on the quality of input variables; validity of surrogate end points; and appropriateness of modelling assumptions, including model structure, time horizon and sophistication of the model to differentiate clinically and economically meaningful outcomes. These economic evaluation methods are not mutually exclusive; in practice, economic analyses often combine data collection alongside clinical trials or observational studies with modelling. The need for pharmacoeconomic evidence has fundamentally changed the strategic imperatives of research and development (R&D). Therefore, professionals in pharmaceutical R&D have to be familiar with the principles of pharmacoeconomics, including the selection of health policy-relevant comparators, analytical techniques, measurement of health gain by quality-adjusted life-years and strategic pricing of pharmaceuticals.

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Year:  2010        PMID: 20132213      PMCID: PMC2850394          DOI: 10.1111/j.1476-5381.2009.00550.x

Source DB:  PubMed          Journal:  Br J Pharmacol        ISSN: 0007-1188            Impact factor:   8.739


  11 in total

1.  Investment decisions in pharmaceutical R&D projects.

Authors:  Mohan Pandey
Journal:  Drug Discov Today       Date:  2003-11-01       Impact factor: 7.851

2.  Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices--Modeling Studies.

Authors:  Milton C Weinstein; Bernie O'Brien; John Hornberger; Joseph Jackson; Magnus Johannesson; Chris McCabe; Bryan R Luce
Journal:  Value Health       Date:  2003 Jan-Feb       Impact factor: 5.725

3.  How much should Medicare pay for drugs?

Authors:  Joseph P Newhouse
Journal:  Health Aff (Millwood)       Date:  2004 Jan-Feb       Impact factor: 6.301

Review 4.  Collection of health-economic data alongside clinical trials: is there a future for piggyback evaluations?

Authors:  Amy K O'Sullivan; David Thompson; Michael F Drummond
Journal:  Value Health       Date:  2005 Jan-Feb       Impact factor: 5.725

Review 5.  Good research practices for cost-effectiveness analysis alongside clinical trials: the ISPOR RCT-CEA Task Force report.

Authors:  Scott Ramsey; Richard Willke; Andrew Briggs; Ruth Brown; Martin Buxton; Anita Chawla; John Cook; Henry Glick; Bengt Liljas; Diana Petitti; Shelby Reed
Journal:  Value Health       Date:  2005 Sep-Oct       Impact factor: 5.725

Review 6.  Cost-effectiveness as an outcome in randomized clinical trials.

Authors:  Mark A Hlatky; Douglas K Owens; Gillian D Sanders
Journal:  Clin Trials       Date:  2006       Impact factor: 2.486

Review 7.  Analysis sans frontières: can we ever make economic evaluations generalisable across jurisdictions?

Authors:  Mark J Sculpher; Michael F Drummond
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

8.  Using real-world data for coverage and payment decisions: the ISPOR Real-World Data Task Force report.

Authors:  Louis P Garrison; Peter J Neumann; Pennifer Erickson; Deborah Marshall; C Daniel Mullins
Journal:  Value Health       Date:  2007 Sep-Oct       Impact factor: 5.725

9.  Cost-effectiveness league tables: valuable guidance for decision makers?

Authors:  Josephine Mauskopf; Frans Rutten; Warren Schonfeld
Journal:  Pharmacoeconomics       Date:  2003       Impact factor: 4.981

10.  State model: Oregon. The ups and downs of Oregon's rationing plan.

Authors:  D M Fox; H M Leichter
Journal:  Health Aff (Millwood)       Date:  1993       Impact factor: 6.301

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  5 in total

1.  Pharmacoeconomics and the medicinal chemist.

Authors:  Craig W Lindsley
Journal:  ACS Med Chem Lett       Date:  2014-09-05       Impact factor: 4.345

Review 2.  Current challenges in health economic modeling of cancer therapies: a research inquiry.

Authors:  Jeffrey D Miller; Kathleen A Foley; Mason W Russell
Journal:  Am Health Drug Benefits       Date:  2014-05

3.  Cost-effectiveness of adding Sativex® spray to spasticity care in Belgium: using bootstrapping instead of Monte Carlo simulation for probabilistic sensitivity analyses.

Authors:  Mark Oppe; Daniela Ortín-Sulbarán; Carlos Vila Silván; Anabel Estévez-Carrillo; Juan M Ramos-Goñi
Journal:  Eur J Health Econ       Date:  2021-04-20

Review 4.  Causal inference as an emerging statistical approach in neurology: an example for epilepsy in the elderly.

Authors:  Lidia Mvr Moura; M Brandon Westover; David Kwasnik; Andrew J Cole; John Hsu
Journal:  Clin Epidemiol       Date:  2016-12-30       Impact factor: 4.790

Review 5.  Development of a core evaluation framework of value-added medicines: report 2 on pharmaceutical policy perspectives.

Authors:  Zoltán Kaló; Zsuzsanna Ida Petykó; Frank-Ulrich Fricke; Nikos Maniadakis; Tomáš Tesař; Kateřina Podrazilová; Jaime Espin; András Inotai
Journal:  Cost Eff Resour Alloc       Date:  2021-07-15
  5 in total

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