Developing health economic models of chronic diseases for reimbursement purposes

Heeg, B. M. S., 2015, [Groningen]: University of Groningen. 217 p.

Research output: ThesisThesis fully internal (DIV)Academic

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  • Title and contents

    Final publisher's version, 84 KB, PDF document

  • Chapter 1

    Final publisher's version, 129 KB, PDF document

  • Chapter 2

    Final publisher's version, 1 MB, PDF document

  • Chapter 3

    Final publisher's version, 638 KB, PDF document

  • Chapter 4

    Final publisher's version, 554 KB, PDF document

  • Chapter 5

    Final publisher's version, 1 MB, PDF document

  • Chapter 6

    Final publisher's version, 703 KB, PDF document

  • Chapter 7

    Final publisher's version, 2 MB, PDF document

  • Chapter 8

    Final publisher's version, 676 KB, PDF document

  • Chapter 9

    Final publisher's version, 628 KB, PDF document

  • Appendix

    Final publisher's version, 509 KB, PDF document

  • Complete dissertation

    Final publisher's version, 5 MB, PDF document

  • Propositions

    Final publisher's version, 18 KB, PDF document


  • Bartele Marten Sybrens Heeg
With an ageing population the number of chronic diseases, often requiring chronic treatment, is increasing. New health care technologies, such as drugs, diagnostics and medical devices, often provide an improvement to current standard of care. This improvement obviously comes at a certain cost. In health economics, this added benefit is weighted against the higher costs to determine whether a technology is cost-effective and in the end should be reimbursed. For that purpose, health economic models are used. This thesis deals with health-economic modelling of chronic diseases for reimbursement purposes. In the first part, various modelling approaches are discussed and applications of those approaches presented for three chronic diseases (schizophrenia, cardiovascular disease and multiple myeloma). The second part is on model parameter estimations in terms of (i) incorporating compliance and (ii) various methods of incorporating categorical inputs in health economic models. Finally, the issue of identifying variables (including health economic outcomes), that are predictive for reimbursement decisions in Scotland, is addressed.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Postma, Maarten, Supervisor
  • Buskens, Erik, Supervisor
  • van Hout, Ben A., Supervisor, External person
  • Akehurst, Ron, Assessment committee, External person
  • Rutten, F.F.H., Assessment committee, External person
  • Brouwers, Jacobus, Assessment committee
Award date1-May-2015
Place of Publication[Groningen]
Print ISBNs978-90-367-7777-3
Electronic ISBNs978-90-367-7776-6
Publication statusPublished - 2015

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