Literature DB >> 19807561

Budget impact analysis: review of the state of the art.

Josephine A Mauskopf1, Stephanie Earnshaw, C Daniel Mullins.   

Abstract

A budget impact analysis for a new pharmaceutical product provides estimates of the likely impact of the new drug on a healthcare decision maker's short- and longer-term annual budgets. Budget impact analysis are an essential part of a comprehensive economic assessment of a new pharmaceutical product and are increasingly required, along with cost-effectiveness analyses, before national or local formulary approval or reimbursement. Standards for the development, content and presentation of the results of a budget impact analysis have recently been proposed but detailed guidance on alternative methods for estimating budget impacts are not yet available. Methods for performing these analyses require either static or dynamic analysis techniques depending on the type of health condition and health impact of the new drug. Several factors, that are not generally needed for cost-effectiveness analysis, should be part of a comprehensive budget impact analysis including the size of the treated population, second-order costs, market diffusion rates for the new drug, and off-label use. A review of the recent literature indicates that there is only a limited number of published budget impact analyses and these vary greatly in the methods used. Instead of publication in peer-reviewed journals, budget impact analyses are more frequently presented directly to decision makers as interactive computer programs designed to compute the budget impact for specific health plans using plan-specific inputs. It is recommend that a comprehensive approach to budget impact estimation be adopted, with the results being presented from both a societal perspective as well as from more limited perspectives depending on the needs of the decision maker.

Year:  2005        PMID: 19807561     DOI: 10.1586/14737167.5.1.65

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  14 in total

1.  Population- versus cohort-based modelling approaches.

Authors:  Olivier Ethgen; Baudouin Standaert
Journal:  Pharmacoeconomics       Date:  2012-03       Impact factor: 4.981

Review 2.  Budget-impact analyses: a critical review of published studies.

Authors:  Ewa Orlewska; Laszlo Gulácsi
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

Review 3.  A Methodological Review of US Budget-Impact Models for New Drugs.

Authors:  Josephine Mauskopf; Stephanie Earnshaw
Journal:  Pharmacoeconomics       Date:  2016-11       Impact factor: 4.981

Review 4.  The French National Authority for Health (HAS) Guidelines for Conducting Budget Impact Analyses (BIA).

Authors:  Salah Ghabri; Erwan Autin; Anne-Isabelle Poullié; Jean Michel Josselin
Journal:  Pharmacoeconomics       Date:  2018-04       Impact factor: 4.981

5.  A non-randomized controlled stepped wedge trial to evaluate the effectiveness of a multi-level mammography intervention in improving appointment adherence in underserved women.

Authors:  L Highfield; S S Rajan; M A Valerio; G Walton; M E Fernandez; L K Bartholomew
Journal:  Implement Sci       Date:  2015-10-14       Impact factor: 7.327

6.  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

7.  Modeling the impact of the difference in cross-protection data between a human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine and a human papillomavirus (HPV)-6/11/16/18 vaccine in Canada.

Authors:  Michele Kohli; Donna Lawrence; Jennifer Haig; Andrea Anonychuk; Nadia Demarteau
Journal:  BMC Public Health       Date:  2012-10-13       Impact factor: 3.295

8.  The role of economics in the QUERI program: QUERI Series.

Authors:  Mark W Smith; Paul G Barnett
Journal:  Implement Sci       Date:  2008-04-22       Impact factor: 7.327

9.  Budget impact analysis of switching to digital mammography in a population-based breast cancer screening program: a discrete event simulation model.

Authors:  Mercè Comas; Arantzazu Arrospide; Javier Mar; Maria Sala; Ester Vilaprinyó; Cristina Hernández; Francesc Cots; Juan Martínez; Xavier Castells
Journal:  PLoS One       Date:  2014-05-15       Impact factor: 3.240

10.  Economic evaluation of the breast cancer screening programme in the Basque Country: retrospective cost-effectiveness and budget impact analysis.

Authors:  Arantzazu Arrospide; Montserrat Rue; Nicolien T van Ravesteyn; Merce Comas; Myriam Soto-Gordoa; Garbiñe Sarriugarte; Javier Mar
Journal:  BMC Cancer       Date:  2016-06-01       Impact factor: 4.430

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