PUB HLTH 7082 - Health Economic Evaluation & Decision Making

North Terrace Campus - Semester 1 - 2014

The course will provide state of the art knowledge on key theoretical and practical issues in the application of health economics to inform the efficient and equitable allocation of health care resources within the context of alternative health care systems. The course address a range of topic areas and technologies, expanding students' understanding of market failure in health care, and the issues around the provision of a publicly funded health care system, before focussing on the role of health economics within a publicly funded system. The latter addresses resource allocation frameworks (including new concepts such as price efficiency and the processes for displacement of existing technologies), the conduct of economic evaluation in health care (including alternative decision modelling techniques and methods of analysis, and valuation tools for eliciting utility values), value of information analysis to optimise research funding and methods for estimating hospital efficiency and their funding implications. The mix of tutorials and practicals will provide opportunities to critique theories and apply methods through specific preparation tasks as well as to work in teams to complete set tasks during the practicals. At the end of the course students will be well qualified for a position in health economics with a university, government or industry employer

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Course Details

Course Code	PUB HLTH 7082
Course	Health Economic Evaluation & Decision Making
Coordinating Unit	Public Health
Term	Semester 1
Level	Postgraduate Coursework
Location/s	North Terrace Campus
Units	3
Contact	Up to 3 hours per week
Prerequisites	PUB HLTH 7081
Assessment	Three written assignments and a practical case study

Course Staff

Course Coordinator: Adjunct Professor Jonathan Karnon

Course Coordinator: Jonathon Karnon
Phone: +61 8313 3562
Email: jonathon.karnon@adelaide.edu.au
Location: Level 7, 178 North Terrace

Additional Academic Staff: Hossein Afzali
Phone: +61 8313 0615
Email: hossein.hajialiafzali@adelaide.edu.au
Location: Level 7, 178 North Terrace

Learning and Teaching Team
Phone: +61 8313 2128
Email: postgrad_enq@adelaide.edu.au
Location: Level 7, 178 North Terrace

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

1	Understand theoretical basis for decision making using economic evaluation
2	Recognise practical constraints, and responses to decision making using economic evaluation
3	Understand the advantages and disadvantages of alternative methodological frameworks for economic evaluation
4	Demonstrated experience of applying of all components of a model-based economic evaluation (implementation, population, calibration, and analysis)
5	Understanding and application of model-based cost-effectiveness methods to performance measurement, benchmarking, and quality improvement in health care
6	Demonstrated knowledge of alternative health care funding models and their relation to economic evaluation and opportunity cost

最新糖心Vlog Graduate Attribute	Course Learning Outcome(s)
Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised.	1, 3, 4
The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner.	4, 5
An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems.	2-5
Skills of a high order in interpersonal understanding, teamwork and communication.	4, 5
A proficiency in the appropriate use of contemporary technologies.	4, 5
A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life.	2, 6
An awareness of ethical, social and cultural issues within a global context and their importance in the exercise of professional skills and responsibilities.	2, 6

Learning & Teaching Modes

The central learning and teaching approach is lectures supported by problem-solving tutorials developing material covered in lectures.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

Three hours of face-to-face teaching has been allocated for each of the 12 semester weeks, comprising a mix of lectures, and computer and non-computer-based practical sessions. In between these sessions, students will be expected to consolidate content knowledge via assessed and non-assessed assignments.

Learning Activities Summary

Week	Topic	Lecture
Week 1	Economic evaluation and opportunity cost	Economic evaluation review; Decision making in theory; The centrality of opportunity cost, what is it and how can it be estimated?
Week 2	Decision trees	When, where, and how to use decision trees as a framework for economic evaluation?
Week 3	Trial-based economic evaluation	When, where, and how to use clinical trials as a framework for economic evaluation?
Week 4	State transition modeling	When, where, and how to use state transition models as a framework for economic evaluation? The basics
Week 5	Sensetivity analysis	What are, and how to apply, deterministic and probabilistic sensitivity analysis methods?
Week 6	State transition modelling - extensions	Parameterising clinical parameters
Week 7	State transition modelling - extensions	Parameterising cost parameters
Week 8	State transition modelling - extensions	Parameterising utility parameters
Week 9	Discounting costs and outcomes	Why do we discount costs and outcomes, and how?
Week 10	Model calibration	What is, and how to apply, model calibration techniques?
Week 11	Service evaluation and quality improvement	How to use economic evaluation methods to evaluate services and inform quality improvement?
Week 12	Allocating resources in the real world	What alternative approaches have been used to inform the allocation of scarce health care resources?
Week 13	Assignment review	Providing support with respect to the final and main assessment task

Small Group Discovery Experience

The problem solving elements of the course are undertaken in small groups, with close oversight from the lecturers to support discovery around the application of health economic methods.

The 最新糖心Vlog's policy on Assessment for Coursework Programs is based on the following four principles:

Assessment must encourage and reinforce learning.
Assessment must enable robust and fair judgements about student performance.
Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
Assessment must maintain academic standards.

Assessment Summary

Assessment Task	Assessment Type	Weighting	Learning Outcome(s) being addressed
Opportunity cost short Q&A assessment	Summative	40%	1, 2, 6
Staged application of a model-based economic evaluation	Summative	60%	3-5

Assessment Detail

Assessment task 1 requires 2 to 3 sentence answers to 10 questions relating to the concept of opportunity cost: concerning theoretical and practical issues around the estimation of opportunity cost, and the use of economic evaluation to inform funding decisions.

Assessment task 2 involves the replication of a published decision analytic cost-effectiveness model, re-analysis of the model to evaluate a newer intervention, and a report of the methods and findings.

Submission

No information currently available.

Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
Grade	Mark	Description
FNS		Fail No Submission
F	1-49	Fail
P	50-64	Pass
C	65-74	Credit
D	75-84	Distinction
HD	85-100	High Distinction
CN		Continuing
NFE		No Formal Examination
RP		Result Pending

Further details of the grades/results can be obtained from Examinations.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through .

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