Literature DB >> 16674550

Prevalence-based economic evaluation.

J Mauskopf1.   

Abstract

OBJECTIVE: Researchers have often stated that economic evaluations of new drugs have rarely been used to inform healthcare decisions, despite the large volume of published studies. In this paper, a new categorization for economic evaluations of new drugs is proposed: incidence-based and prevalence-based. This categorization is designed to increase the likelihood that decision-makers are given more complete and usable economic information about new treatments.
RESULTS: Incidence-based evaluations (such as cost-effectiveness analysis) focus on the impact of a new treatment on a health condition from onset until cure or death. Prevalence-based evaluations focus on the impact of a new treatment on a health condition during a 1-year period. An incidence-based evaluation may focus either on a representative individual or on a specific disease cohort. A prevalence-based evaluation generally focuses on a specific population. Incidence-based evaluations measure the value of the new treatment compared to alternative treatments for the same health conditions and compared to commonly used treatments for other health conditions. Prevalence-based evaluations measure the impact of introducing the new treatment on annual healthcare budgets and population health.
CONCLUSION: Both types of evaluation provide important information when a new treatment is introduced to a population.

Entities:  

Year:  1998        PMID: 16674550     DOI: 10.1046/j.1524-4733.1998.140251.x

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  15 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

3.  Cost-of-illness studies: a guide to critical evaluation.

Authors:  Allison Larg; John R Moss
Journal:  Pharmacoeconomics       Date:  2011-08       Impact factor: 4.981

Review 4.  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

5.  The use of budget impact analysis in the economic evaluation of new medicines in Australia, England, France and the United States: relationship to cost-effectiveness analysis and methodological challenges.

Authors:  Salah Ghabri; Josephine Mauskopf
Journal:  Eur J Health Econ       Date:  2017-10-14

Review 6.  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

7.  Cost-effectiveness of new adult pneumococcal vaccination strategies in Italy.

Authors:  Sara Boccalini; Angela Bechini; Miriam Levi; Emila Tiscione; Roberto Gasparini; Paolo Bonanni
Journal:  Hum Vaccin Immunother       Date:  2013-01-07       Impact factor: 3.452

8.  Multicohort models in cost-effectiveness analysis: why aggregating estimates over multiple cohorts can hide useful information.

Authors:  James F O'Mahony; Joost van Rosmalen; Ann G Zauber; Marjolein van Ballegooijen
Journal:  Med Decis Making       Date:  2012-08-27       Impact factor: 2.583

9.  Budget impact of parenteral iron treatment of iron deficiency: methodological issues raised by using real-life data.

Authors:  Elisabeth Brock; Peter Braunhofer; Josef Troxler; Heinz Schneider
Journal:  Eur J Health Econ       Date:  2013-10-01

10.  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

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