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2017/2018  KAN-CIHCV1603U  Health Innovation Assessment and Advanced Cost Benefit

English Title
Health Innovation Assessment and Advanced Cost Benefit

Course information

Language English
Course ECTS 15 ECTS
Type Elective
Level Full Degree Master
Duration One Quarter
Start time of the course First Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 50
Study board
Study Board for MSc in Business Administration and Innovation in Health Care
Course coordinator
  • Peter Bogetoft - Department of Economics (ECON)
Kristina Schultz from KU is also course coordinator
Main academic disciplines
  • Innovation
  • Statistics and quantitative methods
Last updated on 21-04-2017

Relevant links

Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • Understanding different economic approaches to health care evaluations, such as decision theoretical approaches, multiple criteria approaches, and modern benchmarking theories in order to understand the costs, benefits, success and failure of health care innovation
  • Obtain knowledge about the most important approaches to health economic evaluation including health technology assessment, cost-benefit analysis, cost-effectiveness analysis and newer techniques like multi criteria decision analysis (MCDA)
  • Ability to analyse health care innovations by applying the most recent health economic approaches
  • Understand the structure of a full and rapid HTA report
  • Understand how economic assessments can be used in decision making, its usefulness and its limitations
  • Apply health economic assessment techniques to actual case examples regarding health care innovation
Course prerequisites
Track 2 " Health Techonology Assessment"
Examination
Health Innovation Assessment and Advanced Cost Benefit:
Exam ECTS 15
Examination form Oral exam based on written product

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance.
Individual or group exam Individual oral exam based on written group product
Number of people in the group 4-5
Size of written product Max. 30 pages
Assignment type Project
Duration
Written product to be submitted on specified date and time.
20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Preparation time No preparation
Grading scale 7-step scale
Examiner(s) Internal examiner and second internal examiner
Exam period Autumn
Make-up exam/re-exam
Same examination form as the ordinary exam
If a student is ill during the regular oral exam, he/she will be able to re-use the project at the make-up exam. If a student is ill during the writing of the project and did not contribute to the project, the make-up exam can be written individually or in groups (provided that other students are taking the make-up/re-exam). If the student did not pass the regular exam or did not show up at the oral exam, he/she must make a new revised project/business plan (confer advice from the examiner) and hand it in on a new deadline specified by the secretariat.
Description of the exam procedure

Bi-eksaminator er fra KU ( Kristian Schultz)

Course content and structure

Health Technology Assessment and Advanced Cost Benefits:

There is an increasing pressure on health care budgets in most health systems. Increasing health care demands and limited budgets force health care decision makers to prioritise among the set of possible health interventions including new health care innovations and existing health services.

A range of assessment techniques can be utilised to assemble and synthesize information on benefits and resources needed for different health interventions and may be used to inform the priority setting and decision making in the health care system. These assessment techniques are relevant for decision makers both in public health care systems and insurance based systems.

The purpose of this course is to introduce the most important and recent assessment techniques used in the health care sector with a focus on economic evaluation methods. This course will enable course participants to analyse health care decision problems and apply assessment techniques to real decision problems as well as cases.

The first part of the course will present the theoretical background to economic evaluation and decision making in health care sector based mainly on economic theory. Decision making in both public health care and insurance based systems will be covered hereunder the role of modelling in health care decision making. Some of the complications of real evaluations will be introduced.

The second part will cover the common economic evaluation techniques including cost-benefit analysis (CBA), cost-effectiveness analysis (CEA) and cost-utility analysis (CUA). This section will examine a broad range of topics relevant for these techniques including identification of relevant costs, measurement of health gains, health state valuation, measure the level and characterise uncertainty, value of information analysis, decision models and Markov models.

Specific attention will be given to health technology assessment (HTA). HTA builds on the above techniques but takes a broader perspective by synthesizing relevant evidence and knowledge on the effects and consequences of healthcare technologies. It contributes to priorities and decisions in relation to e.g. prevention, diagnosis, treatment and rehabilitation.

The course will continue with the introduction of newer techniques; many health care decisions – such as portfolio optimization, benefit-risk assessment and HTA – require a careful examination of the underlying options and the criteria used to evaluate these options, but the trade-offs between multiple value criteria can make this increasingly difficult. Multi criteria decision analysis (MCDA) enables a systematic ranking of health interventions in a situation where the decision maker has more criteria than just cost and benefits.  Value-based pricing will also be covered.

A series of application case studies will be covered.

The fundamentals of statistical methodology that underpin health technology assessment will be introduced. This will equip students with the necessary statistical skills to analyse and interpret data that commonly arise from HTAs. The course will conclude with a case analysis. A specific evaluation problem will be introduced by an industry or government representative. The students, working in groups of 3-4, will analyse the problem and develop an appropriate assessment of the presented case. Their suggestions are presented as short 15 minute summaries for the rest of the class and the industry/authority representative. Finally, each student will create a three pages executive summary of their suggestions and the next steps necessary to implement it.

Teaching methods
The course combines lectures, exercises and case analysis.
Feedback during the teaching period
Feedback will be given at the oral examination
Student workload
class 60 hours
exercises 12 hours
case analysis, presentation 75 hours
exam preparation 75 hours
exam 12 hours
class preparation 175 hours
exercice preparation 75 hours
Further Information

Faculty:

 

Peter Bogetoft, Professor, ECON                              

Kristian Schultz Hansen, Associate Professor (external), ECON   

Laila Kærgaard Starr, PhD Fellow, ECON

Last updated on 21-04-2017