Health economics Expertise and services

Considerable advances have been made in the area of healthcare technology over the past decades. Just think of imaging or minimally invasive surgical devices, next generation sequencing, and drugs. These technologies have contributed significantly to a further increase of healthcare costs. At the same time, governments have been reluctant in allocating greater portions of their gross domestic product to healthcare. To achieve cost containment in an era of rapid technological change is an enormous challenge.

Health economics aims to delineate the individual and population health consequences of allocating resources to various health programs and technologies. The results of this type of analyses may be used by decision makers to optimize health outcomes under resource constraints.

Areas of expertise

Within the Radboud Technology Center Health Economics, experts in this area from various departments collaborate to face the challenges posed by rapid technological change under resource constraints.

Our expertise include:
  • Healthcare Technology Assessment (HTA)
  • health economic modeling
  • cost-effectiveness analysis
  • budget impact analysis
  • quality of care research
  • quality of life research
  • (comparative) health system design and evaluation
  • value-based healthcare
  • value-based pricing
  • Program Budgeting and Marginal Analysis
  • multi criteria decision analysis
Results of these analyses can help decision makers within and outside Radboudumc to make choices regarding the development and use of healthcare technologies.

Services

  • Our center provides a unique opportunity for Radboudumc researchers to assess economic viability of healthcare innovations at an early stage of development.
  • Our experts can also assist researchers and clinicians to obtain funding for economic analyses.
We collaborate with MedValue, which acts as a portal for businesses to gain access to health economic expertise within Radboudumc.
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Research Radboud technology centers Health economics

Health economics Expertise and services

This technology center provides a unique opportunity for Radboudumc researchers to assess economic viability of healthcare innovations at an early stage of development.

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How can we help enhance your research? Contact us

Eddy Adang PhD
Technology center representative

+31 (0)24 361 03 87
contact

Education

Health Economics offers the following courses:

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Education

Do you want to become proficient in Cost-effectiveness analysis? Then the following Radboudumc Master course may be of interest to you:
 
Biomedical Master course Cost-effectiveness analysis (BMS58)
 
After completion of the course, students are able to:
  1. define efficiency in the context of health care based on current economic theory
  2. explain how a cost-effectiveness analysis needs to be designed, executed and analyzed
  3. apply / perform a critical appraisal on a set of cost-effectiveness analyses
  4. distinguish (analysis) between several decision rules to infer economic ‘added value’
  5. design (synthesis) a cost-effectiveness analysis
  6. evaluate cost in a CEA
  7. evaluate QALYs in a CEA
  8. evaluate (evaluation) a cost-effectiveness analysis
  9. understand the concept of time value of money and health
  10. perform an economic evaluation by integrating the knowledge above into an incremental cost-effectiveness ratio (ICER) dealing with uncertainty and interpreting the results in terms of its meaning for health care decision making
For more information please visit this link.
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Do you want to become proficient in Decision analytical modelling? Then the following Radboudumc Master course may be of interest to you:
 
Biomedical Master course advanced modeling in economic evaluation (BMS62)
 
After completion of the course, students are able to:
  1. define the basic principles and good practices of decision modelling in health care
  2. define the different types of decision models and reasons why a certain model is appropriate
  3. conceptualize and explain a decision model
  4. make proper assumptions regarding data and the model structure
  5. define how the influence of those assumptions can be tested (scenario analyses and sensitivity analyses)
  6. perform a probabilistic sensitivity analysis
  7. perform different forms of scenario analysis
  8. perform a Value of Information (VOI) analysis
  9. explain the basic principles of a headroom analysis
  10. explain the basic principles of a Budget Impact Analysis (BIA)
  11. apply model validation in the context of economic evaluation
For more information please visit this link.

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