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METHODS, MATHEMATICAL MODELS, DATA
  QUALITY ASSESSMENT AND RESULT
     INTERPRETATION: SOLUTIONS
 DEVELOPED IN THE IFEDH FRAMEWORK


                 G. Zauner
            dwh Simulation Services
               Vienna , Austria
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
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
IFEDH: Services
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
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
IFEDH – Framework: Structure


            Data structures       HTA techniques



                                                      Validation
Modular models                                        Verification

                       HTA question
                                                      Result
Hybrid models
                                                  Interpretation



                 DQA                  Visualization
IFEDH – Framework: Structure
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
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
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
Thank you very much!

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METHODS, MATHEMATICAL MODELS, DATA QUALITY ASSESSMENT AND RESULT INTERPRETATION: SOLUTIONS DEVELOPED IN THE IFEDH FRAMEWORK

  • 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
  • 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
  • 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!