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Decision-making in priority setting for medicines--A review of empirical studies

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  • Vuorenkoski, Lauri
  • Toiviainen, Hanna
  • Hemminki, Elina

Abstract

Rising pharmaceutical expenditure leads to an increased need for priority setting in medicinal care. The objective of this paper is to review studies that empirically analyse a macro- and meso-level decision-making process for including drugs in and/or excluding drugs from reimbursement lists and drug formularies in industrialized countries. We identified six separate studies analysing a decision-making process as a whole. According to them, the most important groups in decision-making were experts and administrative persons. The decision-makers had an explicitly or implicitly defined set of criteria that were considered in decision-making, with clinical evidence on the benefit and the costs being the main criteria used. However, formal pharmacoeconomic analyses were given a rather small role. The criteria used varied between studies, and also between decisions. The decisions seemed inevitably to be partly value-based in their nature, as the scientific or other exact evidence did not give a firm foundation on which the decisions could be solely based. The majority of the studies concentrated on descriptive analysis on how things are rather than on explicitly analysing how decision-making processes perform against defined principles or goals. To facilitate decision-making by clearly defined principles and methods, more analytic studies on decision-making are especially needed.

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  • Vuorenkoski, Lauri & Toiviainen, Hanna & Hemminki, Elina, 2008. "Decision-making in priority setting for medicines--A review of empirical studies," Health Policy, Elsevier, vol. 86(1), pages 1-9, April.
  • Handle: RePEc:eee:hepoli:v:86:y:2008:i:1:p:1-9
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    References listed on IDEAS

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    1. Vuorenkoski, Lauri & Toiviainen, Hanna & Hemminki, Elina, 2003. "Drug reimbursement in Finland--a case of explicit prioritising in special categories," Health Policy, Elsevier, vol. 66(2), pages 169-177, November.
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    Cited by:

    1. Golan, Ofra & Hansen, Paul & Kaplan, Giora & Tal, Orna, 2011. "Health technology prioritization: Which criteria for prioritizing new technologies and what are their relative weights?," Health Policy, Elsevier, vol. 102(2), pages 126-135.
    2. Fischer, Katharina E. & Leidl, Reiner & Rogowski, Wolf H., 2011. "A structured tool to analyse coverage decisions: Development and feasibility test in the field of cancer screening and prevention," Health Policy, Elsevier, vol. 101(3), pages 290-299, August.
    3. Ofra Golan & Paul Hansen & Giora Kaplan & Orna Tal, 2010. "Health Technology Prioritisation: Which criteria for prioritising new technologies, and what are their relative weights?," Working Papers 1006, University of Otago, Department of Economics, revised Jul 2010.
    4. Peter Ghijben & Yuanyuan Gu & Emily Lancsar & Silva Zavarsek, 2018. "Revealed and Stated Preferences of Decision Makers for Priority Setting in Health Technology Assessment: A Systematic Review," PharmacoEconomics, Springer, vol. 36(3), pages 323-340, March.
    5. Karin Cerri & Martin Knapp & Jose-Luis Fernandez, 2014. "Public funding of pharmaceuticals in the Netherlands: investigating the effect of evidence, process and context on CVZ decision-making," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(7), pages 681-695, September.
    6. Hipgrave, David B. & Alderman, Katarzyna Bolsewicz & Anderson, Ian & Soto, Eliana Jimenez, 2014. "Health sector priority setting at meso-level in lower and middle income countries: Lessons learned, available options and suggested steps," Social Science & Medicine, Elsevier, vol. 102(C), pages 190-200.
    7. Mireille M. Goetghebeur & Monika Wagner & Hanane Khoury & Randy J. Levitt & Lonny J. Erickson & Donna Rindress, 2012. "Bridging Health Technology Assessment (HTA) and Efficient Health Care Decision Making with Multicriteria Decision Analysis (MCDA)," Medical Decision Making, , vol. 32(2), pages 376-388, March.
    8. Katharina Fischer & Reiner Leidl, 2014. "Analysing coverage decision-making: opening Pandora’s box?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(9), pages 899-906, December.
    9. Fischer, Katharina Elisabeth, 2012. "A systematic review of coverage decision-making on health technologies—Evidence from the real world," Health Policy, Elsevier, vol. 107(2), pages 218-230.

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