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Transparency vs. closed-door policy: Do process characteristics have an impact on the outcomes of coverage decisions? A statistical analysis

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  • Fischer, Katharina E.
  • Rogowski, Wolf H.
  • Leidl, Reiner
  • Stollenwerk, Björn

Abstract

The aim of this study was to analyze influences of process- and technology-related characteristics on the outcomes of coverage decisions. Using survey data on 77 decisions from 13 countries, we examined whether outcomes differ by 14 variables that describe components of decision-making processes and the technology. We analyzed the likelihood of committees covering a technology, i.e. positive (including partial coverage) vs. negative coverage decisions. We performed non-parametric univariate tests and binomial logistic regression with a stepwise variable selection procedure.

Suggested Citation

  • Fischer, Katharina E. & Rogowski, Wolf H. & Leidl, Reiner & Stollenwerk, Björn, 2013. "Transparency vs. closed-door policy: Do process characteristics have an impact on the outcomes of coverage decisions? A statistical analysis," Health Policy, Elsevier, vol. 112(3), pages 187-196.
    • Handle: RePEc:eee:hepoli:v:112:y:2013:i:3:p:187-196
    DOI: 10.1016/j.healthpol.2013.04.011
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    References listed on IDEAS

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    Cited by:

    1. Katharina Elisabeth Fischer & Wolf Henning Rogowski, 2014. "Funding Decisions for Newborn Screening: A Comparative Review of 22 Decision Processes in Europe," IJERPH, MDPI, vol. 11(5), pages 1-28, May.
    2. Maynou, Laia & Cairns, John, 2018. "What is driving HTA decision-making? Evidence from cancer drug reimbursement decisions from 6 European countries," LSE Research Online Documents on Economics 90877, London School of Economics and Political Science, LSE Library.
    3. Maynou, Laia & Cairns, John, 2019. "What is driving HTA decision-making? Evidence from cancer drug reimbursement decisions from 6 European countries," Health Policy, Elsevier, vol. 123(2), pages 130-139.
    4. 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.
    5. Chris Schilling & Duncan Mortimer & Kim Dalziel, 2017. "Using CART to Identify Thresholds and Hierarchies in the Determinants of Funding Decisions," Medical Decision Making, , vol. 37(2), pages 173-182, February.
    6. Wolf Rogowski & Katherine Payne & Petra Schnell-Inderst & Andrea Manca & Ursula Rochau & Beate Jahn & Oguzhan Alagoz & Reiner Leidl & Uwe Siebert, 2015. "Concepts of ‘Personalization’ in Personalized Medicine: Implications for Economic Evaluation," PharmacoEconomics, Springer, vol. 33(1), pages 49-59, January.

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