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Reimbursement Decisions for Pharmaceuticals in Sweden: The Impact of Disease Severity and Cost Effectiveness

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  • Mikael Svensson
  • Fredrik Nilsson
  • Karl Arnberg

Abstract

The TLV places substantial weight on both the cost effectiveness and the severity of disease in reimbursement decisions, and the implied willingness to pay for a QALY is higher than the often cited ‘rule of thumb’ in Swedish policy debates. Copyright Springer International Publishing Switzerland 2015

Suggested Citation

  • Mikael Svensson & Fredrik Nilsson & Karl Arnberg, 2015. "Reimbursement Decisions for Pharmaceuticals in Sweden: The Impact of Disease Severity and Cost Effectiveness," PharmacoEconomics, Springer, vol. 33(11), pages 1229-1236, November.
    • Handle: RePEc:spr:pharme:v:33:y:2015:i:11:p:1229-1236
    DOI: 10.1007/s40273-015-0307-6
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    References listed on IDEAS

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    1. Hultkrantz, Lars & Svensson, Mikael, 2012. "The value of a statistical life in Sweden: A review of the empirical literature," Health Policy, Elsevier, vol. 108(2), pages 302-310.
    2. Helen Dakin & Nancy Devlin & Yan Feng & Nigel Rice & Phill O'Neill & David Parkin, 2015. "The Influence of Cost‐Effectiveness and Other Factors on Nice Decisions," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1256-1271, October.
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    6. Cerri, Karin H. & Knapp, Martin & Fernandez, Jose-Luis, 2014. "Decision making by NICE: examining the influences of evidence, process and context," Health Economics, Policy and Law, Cambridge University Press, vol. 9(2), pages 119-141, April.
    7. Nancy Devlin & David Parkin, 2004. "Does NICE have a cost‐effectiveness threshold and what other factors influence its decisions? A binary choice analysis," Health Economics, John Wiley & Sons, Ltd., vol. 13(5), pages 437-452, May.
    8. Anders Anell & Ulf Persson, 2005. "Reimbursement and clinical guidance for pharmaceuticals in Sweden," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(3), pages 274-279, September.
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    Cited by:

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    4. Guillem López-Casasnovas & José Luis Pinto Prades, 2022. "QALY Maximization and the Social Optimum," Hacienda Pública Española / Review of Public Economics, IEF, vol. 242(3), pages 111-127, September.
    5. Anthony Harris & Jing Jing Li & Karen Yong, 2016. "What Can We Expect from Value-Based Funding of Medicines? A Retrospective Study," PharmacoEconomics, Springer, vol. 34(4), pages 393-402, April.
    6. Naimi Johansson & Mikael Svensson, 2022. "Regional variation in prescription drug spending: Evidence from regional migrants in Sweden," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1862-1877, September.
    7. Wranik, Wiesława Dominika & Gambold, Liesl & Peacock, Stuart, 2021. "Uncertainty tolerance among experts involved in drug reimbursement recommendations: Qualitative evidence from HTA committees in Canada and Poland," Health Policy, Elsevier, vol. 125(3), pages 307-319.
    8. Carlos K. H. Wong & Brian H. H. Lang & Vivian Y. W. Guo & Cindy L. K. Lam, 2016. "Possible Impact of Incremental Cost-Effectiveness Ratio (ICER) on Decision Making for Cancer Screening in Hong Kong: A Systematic Review," Applied Health Economics and Health Policy, Springer, vol. 14(6), pages 647-657, December.
    9. Svensson, Mikael & Barregård, Lars & Axelsson, Gösta & Andersson, Eva, 2018. "A cost-effectiveness analysis of lowering residential radon levels in Sweden—Results from a modelling study," Health Policy, Elsevier, vol. 122(6), pages 687-692.
    10. Simona Gamba & Niklas Jakobsson & Mikael Svensson, 2022. "The impact of cost-sharing on prescription drug demand: evidence from a double-difference regression kink design," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1591-1599, December.
    11. Elena Nicod, 2017. "Why do health technology assessment coverage recommendations for the same drugs differ across settings? Applying a mixed methods framework to systematically compare orphan drug decisions in four Europ," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(6), pages 715-730, July.
    12. Øystein Ariansen Haaland & Frode Lindemark & Kjell Arne Johansson, 2019. "A flexible formula for incorporating distributive concerns into cost-effectiveness analyses: Priority weights," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-12, October.
    13. Aris Angelis & Ansgar Lange & Panos Kanavos, 2018. "Using health technology assessment to assess the value of new medicines: results of a systematic review and expert consultation across eight European countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(1), pages 123-152, January.
    14. Camilla Nystrand & Inna Feldman & Pia Enebrink & Filipa Sampaio, 2019. "Cost-effectiveness analysis of parenting interventions for the prevention of behaviour problems in children," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-17, December.
    15. Peter Lindgren & Sofia Löfvendahl & Gunnar Brådvik & Ola Weiland & Bengt Jönsson, 2022. "Value appropriation in hepatitis C," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1059-1070, August.
    16. Sampaio, Filipa & Ssegonja, Richard & Thiblin, Ingemar & Nystrand, Camilla, 2021. "A model for evaluating the economic value of prevention programs for illicit use of anabolic androgenic steroids," Health Policy, Elsevier, vol. 125(6), pages 807-813.

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