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2017/18 Taught Postgraduate Module Catalogue

HECN5020M Economic Evaluations for Health Technology Assessment

15 creditsClass Size: 30

Module manager: David Meads
Email: d.meads@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2018/19

Pre-requisite qualifications

Upper second or first class bachelors' degree or international equivalent in a relevant subject (e.g. economics, accountancy, finance, operations research, statistics or mathematics).

Applicants whose first language is not English or who have not been educated previously in English will need to attain ONE of the following:
- IELTS (International English Language Testing System) an overall band of 6.5 with no less than 6.0 in each component skill
- TOEFL (Test of English as a Foreign Language) of 92 with no less than 21 in listening, 21 in reading, 23 in speaking and 22 in writing

This module is approved as an Elective

Module summary

High income countries spend a considerable proportion of their GDP on health care services and technologies. This module considers how health care interventions can be assessed using economic tools to aid the decision making of healthcare agencies and improve the efficiency of health care systems.

Objectives

On completion of this module, students should be able to:
- Gain a critical and comprehensive understanding of the complexities, role and methods of decision analysis in health technology assessment
- Apply decision analytical methods and undertake analyses for health technology assessment
- Critically interpret the results of decision analyses in health technology assessment and appraise with respect to the methods chosen and the impact of uncertainty within those results
- Gain experience in undertaking decision analytical modelling and to prepare a report of the results in a clear, reflective, interesting and concise manner

Learning outcomes
On successful completion of this module the student will have:
- A clear understanding of the methods of decision analytical modelling in the context of health technology assessment
- A clear understanding of, and experience of, applying the statistical methods used in decision analytical modelling for health technology assessment
- Critical understanding of how to interpret the results of decision analysis and the importance, and impact, of uncertainty within analyses
- A critical appraisal of their own analysis and that of others

Skills outcomes
On successful completion of this module the student will have had the opportunity to acquire:
- Independent, self-directed learning skills
- Skills to facilitate critical engagement with and application of quantitative theoretical concepts and analysis
- Skills in the application of economic analytical techniques to deal with real world decision making

Syllabus

- Evidence based medicine: from bench to bedside
- Methods of economic evaluation: cost-effectiveness, cost-utility and cost-benefit analyses; trials, decision analytic models; and generalisability
- Evaluations alongside clinical trials
- Decision trees and decision modelling using Markov models
- Customising a model to fit a clinical process
- Transition probabilities
- Costs and benefits
- Presentation and interpretation of results
- Model appraisal
- Value of information

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	10	1.00	10.00
Practical	5	1.00	5.00
Private study hours			135.00
Total Contact hours			15.00
Total hours (100hr per 10 credits)			150.00

Private study

Completion of technical, applied assignments for practical sessions; summarising and critical appraisal of articles; preparing for assessment.

Opportunities for Formative Feedback

Understanding of concepts and techniques will be tested informally during lectures. Students' knowledge of course content and analytical techniques will be checked informally during practical sessions and formally by checking practical session work. Additional help and examples will be provided where needed.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Essay	Model analysis, presentation and critique. 2500 words	100.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 19/03/2019

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