HAR691: Using Evidence in the Design and Development of Models

The Using Evidence in the Design and Development of Models (online) module is led by Paul Tappenden. It runs in the Autumn semester and is worth 15 credits.

Overview

The Using Evidence in the Design and Development of Models (online) module is led by Paul Tappenden. It runs in the Autumn semester and is worth 15 credits.

It is one of the modules on:

This module is not available as a DDP module


Introduction

This module sets out the process of developing decision-analytic models in health technology assessment (HTA), and explains how this process is informed by evidence.

It explores conceptual modelling, including how to understand decision problems and how to apply this understanding to the specification and population of a relevant decision-analytic framework.

Students are introduced to information retrieval methods and formal problem structuring processes as applied to HTA.


Objectives

This module aims to provide students with a detailed knowledge of the techniques used to conceptualise and analyse decision problems within international health technology assessment.


Learning outcomes

By the end of the module students will be able to:

  • Evaluate critically problem-structuring methods and their application in decision-analytic modelling
  • Retrieve and differentiate a range of evidence used to inform decision-analytic models
  • Specify a relevant conceptual model based on a typical HTA decision problem

Teaching methods

  • Bespoke online materials will be used to present the principles of information retrieval, problem structuring methods and conceptual modelling in the context of health technology decision-analytic modelling
  • Exercises based on case studies will be used to develop students' practical and critical skills in the application of information retrieval methods and problem structuring methods
  • Guided independent study will deepen students' understanding of the model development process

The content of our courses is reviewed annually to make sure it is up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research, funding changes, professional accreditation requirements, student or employer feedback, outcomes of reviews, and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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