METHODS, MATHEMATICAL MODELS, DATA QUALITY ASSESSMENT AND RESULT INTERPRETATION: SOLUTIONS DEVELOPED IN THE IFEDH FRAMEWORK G. Zauner dwh Simulation Services Vienna , Austria

1. METHODS, MATHEMATICAL MODELS, DATA
QUALITY ASSESSMENT AND RESULT
INTERPRETATION: SOLUTIONS
DEVELOPED IN THE IFEDH FRAMEWORK
G. Zauner
dwh Simulation Services
Vienna , Austria

2. IFEDH – Framework: Basics
1. Decisions have to be made in Austria
2. Advanced data structures, HTA methods and
new modeling techniques
3. Interdisciplinary project tasks
4. „Good Practice“ guidelines, limited development
duration
 The IFEDH project

3. The IFEDH Network
IFEDH
CUSTOMER Network
Decision Makers Services Provider
Pharmaceutical
Ministry Industry
Informations for
Generating Evidence
Provinces Based Decision on Medical Technology
Basis of Models for
Social Security Possible Strategies Medical Provider

4. IFEDH: Services

5. IFEDH – Framework: Partner
• Modeling experts (theoretical development
and practical solutions)
• HTA experts (Main Association of Austrian
Health Security Services, Ludwig Boltzmann
Institute - Health Technology Assessment)
• Data structure and DQA experts
• Statisticians
• Web developer and programmer
• Centre for Virtual Reality and Visualization

6. IFEDH – Framework: Structure
1. State of the Art detection and guideance for practical use
in:
I. Modeling
II. HTA Techniques
III. Visualization
IV. Data Sources and Data Quality Assessment
V. Validatation and Verification
2. Modular and hybrid modeling technique development
3. Data source evaluation and HTA-manager tool
4. Proof of concept

7. IFEDH – Framework: Structure
Data structures HTA techniques
Validation
Modular models Verification
HTA question
Result
Hybrid models
Interpretation
DQA Visualization

8. IFEDH – Framework: Structure

9. IFEDH – Framework: Proof of
Concept
1. Seasonal influenza epidemics
Agent based model / modular structure
2. Human papillomavirus (HPV) vaccination and
cancer treatment
Economic Model
ODE model + Markov structure
Social Interaction Model Disease Model
3. Abdominal aortic aneurysm (AAA) screening
bottum-up modeling, cost module
Population Model

10. Including modeling techniques in HTA
Feedback to data structure
Feedback to model pool
internal data Pool of Hybrid
Problem
Methods decom- Evaluation
class (HVB, clinical
position Insigths for
definition trials, …) - AB
- SD, ODEs data
economical model structure
- couplings
point of view external com- external
-…
model data parison evaluation
demand
Feedback to data structure

11. Conclusion
 An interdiciplinary process for model based
HTA is under development
 Modeling and Simulation plays a key role in
decision making in advanced HTA questions
 Modular structures allow faster decision
support and guarantee approved model
structures/model assumptions
 Knowledge combination of different domains
is an import basis for successful solution of
socio-economic questions in HTA and EBM

12. Thank you very much!