HAR6118: Utility and Patient-reported Outcomes Data in HTA (online)

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Overview

The Utility and Patient-reported Outcomes Data in HTA (online) module is led by Clara Mukuria. It runs in the Spring semester and is worth 15 credits.

It is one of the modules on:

This module is available as a CPD option

This module is not available as a DDP module

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Introduction

The module explores the assessment and generation of patient reported outcomes for use in international health technology assessment, the quality adjusted life year (QALY) model and its weaknesses, and alternative methods of valuing benefits.

The approaches used to generate outcomes and other utility data will be explored in relation to current practice guidelines of reimbursement and other agencies in different countries.

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Objectives

This module aims to explore in detail specialist topics related to the generation of utilities and other outcome data for use in international health technology assessment.

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Learning outcomes

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

• Identify and critically appraise a range of different approaches used to generate utility and other outcomes data for use in health technology assessment
• Critically evaluate the strengths and weaknesses of the QALY model and alternative approaches
• Critically evaluate different methods used to generate utility and other outcomes data, in relation to current practice guidelines, different contexts and different countries

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Teaching methods

• Bespoke online methods will be used to present the principles behind alternative approaches used to generate outcomes and other utility data for use in health technology assessment and to direct students to the appropriate methodological literature, and to assess the relative strengths and weaknesses of QALY and other models
• Exercises based around a selection of the different approaches will be used to help to develop a critical understanding of the different approaches used to generate utility and other outcomes data and their appropriateness in different contexts.
• Guided independent study will deepen awareness, understanding and evaluation of the alternative approaches used to generate utility and other outcomes data for use in international health technology assessment.