Literature DB >> 21669384

Pharmaceutical priority setting and the use of health economic evaluations: a systematic literature review.

Sandra Erntoft1.   

Abstract

OBJECTIVES: To investigate which factors and criteria are used in priority setting of pharmaceuticals, in what contexts health economic evaluations are used, and barriers to the use of health economic evaluations at micro, meso, and macro health-care levels.
METHODS: The search for empirical articles was based on the MeSH index (Medical Substance Heading), including the search terms "economic evaluation," "cost-effectiveness analysis," "cost-utility analysis," "cost-benefit analysis," "pharmacoeconomic," AND "drug cost(s)," AND "eligibility determination," AND "decision-making," AND "rationing," AND formulary. The following databases were searched: PubMed, EconLit, Cochrane, Web of Science, CINAHL, and PsycINFO. More than 3100 studies were identified, 31 of which were included in this review.
RESULTS: The use of health economic evaluations at all three health-care levels was investigated in three countries (United States [US], United Kingdom [UK], and Sweden). Postal and telephone survey methods dominated (n = 17) followed by interviews (n = 13), document analysis (n = 10), and observations of group deliberations (n = 9). The cost-effectiveness criterion was most important at the macro level. A number of contextual uses of health economic evaluations were identified, including importantly the legitimizing of decisions, structuring the priority-setting process, and requesting additional budgets to finance expensive pharmaceuticals.
CONCLUSION: Factors that seem to support the increased use of health economic evaluations are well-developed frameworks for evaluations, the presence of health economic skills, and an explicit priority-setting process. Differences in how economic evaluations are used at macro, meso, and micro levels are attributed to differences in the preconditions at each level.
Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21669384     DOI: 10.1016/j.jval.2010.10.036

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


  7 in total

1.  Lonely at the top and stuck in the middle? The ongoing challenge of using cost-effectiveness information in priority setting : Comment on "Use of cost-effectiveness data in priority setting decisions: experiences from the national guidelines for heart diseases in Sweden".

Authors:  Iestyn Williams; Stirling Bryan
Journal:  Int J Health Policy Manag       Date:  2015-02-15

2.  Revealed and Stated Preferences of Decision Makers for Priority Setting in Health Technology Assessment: A Systematic Review.

Authors:  Peter Ghijben; Yuanyuan Gu; Emily Lancsar; Silva Zavarsek
Journal:  Pharmacoeconomics       Date:  2018-03       Impact factor: 4.981

Review 3.  Development of the WHO-INTEGRATE evidence-to-decision framework: an overview of systematic reviews of decision criteria for health decision-making.

Authors:  J M Stratil; R Baltussen; I Scheel; A Nacken; E A Rehfuess
Journal:  Cost Eff Resour Alloc       Date:  2020-02-11

Review 4.  REVIEWING TRANSFERABILITY IN ECONOMIC EVALUATIONS ORIGINATING FROM EASTERN EUROPE.

Authors:  Olena Mandrik; Saskia Knies; Zoltan Kalo; Johan L Severens
Journal:  Int J Technol Assess Health Care       Date:  2015       Impact factor: 2.188

5.  Economic evaluations of health technologies in Dutch healthcare decision-making: a qualitative study of the current and potential use, barriers, and facilitators.

Authors:  Kitty J Roseboom; Johanna M van Dongen; Emile Tompa; Maurits W van Tulder; Judith E Bosmans
Journal:  BMC Health Serv Res       Date:  2017-01-26       Impact factor: 2.655

6.  Rationing for medicines by health care providers in Indonesia National Health Insurance System at hospital setting: a qualitative study.

Authors:  Endang Yuniarti; Yayi Suryo Prabandari; Erna Kristin; Sri Suryawati
Journal:  J Pharm Policy Pract       Date:  2019-05-07

7.  Decision-making in healthcare: a practical application of partial least square path modelling to coverage of newborn screening programmes.

Authors:  Katharina E Fischer
Journal:  BMC Med Inform Decis Mak       Date:  2012-08-02       Impact factor: 2.796

  7 in total

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