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Determinants of utilisation differences for cancer medicines in Belgium, Scotland and Sweden

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  • Alessandra Ferrario

    (London School of Economics and Political Science
    London School of Economics and Political Science)

Abstract

Background Little comparative evidence is available on utilisation of cancer medicines in different countries and its determinants. The aim of this study was to develop a statistical model to test the correlation between utilisation and possible determinants in selected European countries. Methods A sample of 31 medicines for cancer treatment that obtained EU-wide marketing authorisation between 2000 and 2012 was selected. Annual data on medicines’ utilisation covering the in- and out-patient public sectors were obtained from national authorities between 2008 and 2013. Possible determinants of utilisation were extracted from HTA reports and complemented by contacts with key informants. A longitudinal mixed effect model was fitted to test possible determinants of medicines utilisation in Belgium, Scotland and Sweden. Results In the all-country model, the number of indications reimbursed positively correlated with increased consumption of medicines [one indication 2.6, 95% CI (1.8–3.6); two indications 2.4, 95% CI (1.4–4.3); three indications 4.9, 95% CI (2.2–10.9); all P

Suggested Citation

  • Alessandra Ferrario, 2017. "Determinants of utilisation differences for cancer medicines in Belgium, Scotland and Sweden," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1095-1105, December.
    • Handle: RePEc:spr:eujhec:v:18:y:2017:i:9:d:10.1007_s10198-016-0855-5
    DOI: 10.1007/s10198-016-0855-5
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    References listed on IDEAS

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    1. Lambrelli D & O’Donnell O, 2009. "Why Does the Utilization of Pharmaceuticals Vary So Much Across Europe? Evidence from Micro Data on Older Europeans," Health, Econometrics and Data Group (HEDG) Working Papers 09/06, HEDG, c/o Department of Economics, University of York.
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    More about this item

    Keywords

    Medicines utilisation; Multilevel mixed-effects data models; Oncology; Managed entry agreements; Pharmaceutical policy;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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