Seminar in Modelling in Economic Evaluation of Pharmaceuticals and Health Programmes (blended learning)

Program curriculum and final degree

Program Curriculum

Seminar in Modelling Techniques in Economic Evaluation of Pharmaceuticals and Healthcare Technologies. Blended learning version

Online part: 22/10/2019 – 14/01/2020 Classroom-based part: 19/11/2019 – 23/11/2019 in Barcelona

Course length: the seminar is made up of a classroom-based part lasting four and a half days, as well as a distance learning part. The online part includes a prior assignment to prepare for the classroom sessions and a subsequent assignment to consolidate the knowledge gained.

Planned Programme*

TUESDAY

  • 16 -16.30 Welcome and presentation of the MESOL Seminar
  • 16.30 - 18 Session 1: Introduction to the modelling techniques in economic evaluation courses
  • 18 – 18.30 Break
  • 18.30 - 19.30 Session 2: Assessment and use of information sources in the preparation of economic models and secondary research in economic evaluation
  • 19.30 - 20 Presentation of the distance learning project to be prepared by the participants

WEDNESDAY

  • 9.30 - 11.30 Session 3: Model preparation phases: from analysis of the problem to the structure of the model. Case study on approaching and organising the project to develop a model
  • 11.30 - 12 Coffee Break
  • 12 - 14 Session 4: Types of models, degrees and justification of their use and assessment of quality. Guidelines for assessment of the quality of a model. Case study
  • 14 - 15.30 Lunch
  • 15.30 - 17.30 Session 5: Model preparation phases: from analysis of the problem to the structure of the model. Practical exercises for a cardiovascular, oncological and degenerative pathology. Group work
  • 17.30 - 18 Coffee Break
  • 18 - 19.30 Session 6: Case study 1. Preparation of a simple deterministic model. Case study 2. Preparation of a simple Markov model

THURSDAY

  • 09.30 - 11.30 Session 7: Markov Models (I): Definition, characteristics and criteria for use of Markov models. Overview of Markov models. Case study 3: Preparation of a Markov model with two alternatives for action
  • 11.30 - 12 Coffee Break
  • 12 - 14 Session 8: Markov Models (II): Advanced concepts of Markov models. Case study 4: Calculation of parameters and time dependent transition probability matrix
  • 14 - 15.30 Lunch
  • 15.30 - 17.30 Session 9: Other economic evaluation tools: Budget impact analysis. Justification, recommendations for its preparation and presentation of a case study
  • 17.30 - 18 Coffee Break
  • 18 - 19 Session 10.- Handling uncertainty in evaluation models: The use of probabilistic techniques. Characterization of distributions and Monte Carlo Simulation
  • 19 -19.45: Session 11: Case study 5: Adaptation of probabilistic parameters in the case study. Implementation of a probabilistic simulation

FRIDAY

  • 09.30 - 10.30 Session 12: Case study 5: Continued
  • 10.30 - 11.30 Session 13: Presentation of results in probabilistic models. Obtaining ICER and calculation of CEAC. Interpretation of the results of a probabilistic model
  • 11.30 - 12 Coffee Break
  • 12 - 14 Session 14: Case study 6: Presentation of results in Excel. Obtaining ICER, Net Health Benefit, confidence ellipses and Acceptability Curves for a probabilistic model. Case study 7: Use of bootstrapping techniques in Excel
  • 14 - 15.30 Lunch
  • 15.30 - 17 Session 15: Micro simulation model with patient data in Excel. Published Case of Study
  • 17 - 17.30 Coffee Break
  • 17.30 - 19 Session 16: Completion and corection of tutored practical cases
  • 19 - 19.45 Session 17: Case study 8: Calculation of the Expected Value of Perfect Information in Excel
  • 21 Course dinner

SATURDAY

  • 10 - 11.30 Session 18: Exercise review
  • 11.30 - 12 Coffee Break
  • 12 - 13 Session 19: Economic evaluation of health programs, features and case of study
  • 13 - 14 Session 20: Practical statistical tools for preparing advanced Markov models
  • 14 - 14.15 Closing session

*The programme may be subject to change.

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