IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v18y2017i9d10.1007_s10198-016-0855-5.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-016-0855-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10198-016-0855-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    2. 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.
    3. Sorenson, Corinna & Drummond, Michael & Torbica, Aleksandra & Callea, Giuditta & Mateus, Ceu, 2015. "The role of hospital payments in the adoption of new medical technologies: an international survey of current practice," Health Economics, Policy and Law, Cambridge University Press, vol. 10(2), pages 133-159, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patricia Ex & Cornelia Henschke, 2019. "Changing payment instruments and the utilisation of new medical technologies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1029-1039, September.
    2. María Jesús Rodríguez-Gulías & David Rodeiro-Pazos & Sara Fernández-López & Manuel Ángel Nogueira-Moreiras, 2021. "The effect of regional resources on innovation: a firm-centered approach," The Journal of Technology Transfer, Springer, vol. 46(3), pages 760-791, June.
    3. Moorman, Sara M. & Carr, Kyle & Greenfield, Emily A., 2018. "Childhood socioeconomic status and genetic risk for poorer cognition in later life," Social Science & Medicine, Elsevier, vol. 212(C), pages 219-226.
    4. Babigumira, Ronnie & Angelsen, Arild & Buis, Maarten & Bauch, Simone & Sunderland, Terry & Wunder, Sven, 2014. "Forest Clearing in Rural Livelihoods: Household-Level Global-Comparative Evidence," World Development, Elsevier, vol. 64(S1), pages 67-79.
    5. Alvaro Forteza & Cecilia Noboa, 2019. "Perceptions of institutional quality and justification of tax evasion," Constitutional Political Economy, Springer, vol. 30(4), pages 367-382, December.
    6. Gabriele B. Durrant & Sylke V. Schnepf, 2018. "Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1057-1075, October.
    7. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
    8. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 685-709, October.
    9. Meyer, S.C. & Künn-Nelen, A.C., 2014. "Do occupational demands explain the educational gradient in health?," Research Memorandum 016, Maastricht University, Graduate School of Business and Economics (GSBE).
    10. Arpino, Bruno & Varriale, Roberta, 2009. "Assessing the quality of institutions’ rankings obtained through multilevel linear regression models," MPRA Paper 19873, University Library of Munich, Germany.
    11. Miranda J. Welbourne Eleazar, 2022. "Immoral Entrenchment: How Crisis Reverses the Ethical Effects of Moral Intensity," Journal of Business Ethics, Springer, vol. 180(1), pages 71-89, September.
    12. Laura Resmini & Giuseppe Vittucci Marzetti, 2020. "Home bias in divestment decisions of multinational corporations in the EU," Review of International Economics, Wiley Blackwell, vol. 28(3), pages 799-813, August.
    13. Elizabeth S. Park & Federick Ngo & Tatiana Melguizo, 2021. "The Role of Math Misalignment in the Community College STEM Pathway," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(4), pages 403-447, June.
    14. Valentina Marano & Steve Sauerwald & Marc Essen, 2022. "The influence of culture on the relationship between women directors and corporate social performance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(7), pages 1315-1342, September.
    15. Tang, Ryan W., 2023. "Institutional unpredictability and foreign exit−reentry dynamics: The moderating role of foreign ownership," Journal of World Business, Elsevier, vol. 58(2).
    16. Tomáš Havránek & Zuzana Iršová, 2010. "Which Foreigners Are Worth Wooing? A Meta-Analysis of Vertical Spillovers from FDI," Working Papers IES 2010/16, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2010.
    17. Hazans, Mihails, 2011. "What explains prevalence of informal employment in European countries : the role of labor institutions, governance, immigrants, and growth," Policy Research Working Paper Series 5917, The World Bank.
    18. Fauth, Rebecca & Parsons, Samantha & Platt, Lucinda, 2014. "Convergence or divergence?: a longitudinal analysis of behaviour problems among disabled and non-disabled children aged 3 to 7 in England," LSE Research Online Documents on Economics 59659, London School of Economics and Political Science, LSE Library.
    19. Susan Olzak, 2022. "The Impact of Ideological Ambiguity on Terrorist Organizations," Journal of Conflict Resolution, Peace Science Society (International), vol. 66(4-5), pages 836-866, May.
    20. Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 829-855, December.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eujhec:v:18:y:2017:i:9:d:10.1007_s10198-016-0855-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.