This course explores key concepts and methods in Health Economics and Health Technology Assessment (HTA) and is intended for learners who have a foundation in data science, clinical science, regulatory and are new to this field and would like to understand basic principles used by payers for their reimbursement decisions.
This module covers the key principles of economic evaluation, including types of analysis, the technical issues such as choosing the comparator, perspective, and time horizon. It looks at types of costs, and the need for discounting.
Inclus
12 vidéos4 lectures1 devoir
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12 vidéos•Total 15 minutes
Introduction•1 minute
Comparators•1 minute
Scope of the evaluation•1 minute
Type of costs•1 minute
Perspective•1 minute
Discounting•2 minutes
Type of analyses•3 minutes
Cost-effectiveness and cost-utility analyses•1 minute
QALYs•0 minutes
ICER•1 minute
Other decision elements•1 minute
Summary•0 minutes
4 lectures•Total 100 minutes
Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022)•30 minutes
ISPOR Value Flower•30 minutes
Multiple Criteria Decision Analysis for Health Technology Assessment•30 minutes
Notes•10 minutes
1 devoir•Total 20 minutes
Testing your knowledge on Economic Evaluation•20 minutes
Health measurements and QALYs
Module 2•2 heures à terminer
Détails du module
This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.
Inclus
9 vidéos4 lectures1 devoir
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9 vidéos•Total 12 minutes
Introduction•0 minutes
Definition of Health And Patient Reported Outcomes•1 minute
Quality of Life Measurement•1 minute
Health Related Quality of Life Instruments•2 minutes
Utility•2 minutes
Valuation Techniques•3 minutes
Preference Based Instruments•1 minute
QALYs•2 minutes
Summary•0 minutes
4 lectures•Total 100 minutes
Introducing economic and quality of life measurements into clinical studies by Michael Drummond•30 minutes
Valuing health-related quality of life: An EQ-5D-5L value set for England•30 minutes
A Review of Generic Preference-Based Measures for Use in Cost-Effectiveness Models•30 minutes
Notes•10 minutes
1 devoir•Total 18 minutes
Testing your Knowledge on QALYs•18 minutes
Health Economic Modelling
Module 3•2 heures à terminer
Détails du module
This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.
Inclus
6 vidéos3 lectures1 devoir
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6 vidéos•Total 11 minutes
Introduction•0 minutes
Decision Modelling•2 minutes
Decision Trees•2 minutes
Markov Models•2 minutes
Sensitivity Analyses•5 minutes
Summary•0 minutes
3 lectures•Total 70 minutes
Conceptualizing a Model: ISPOR-SMDM Modeling Good Research Practices•30 minutes
Model Parameter Estimation and Uncertainty: ISPOR-SMDM Modeling Good Research Practices•30 minutes
Notes•10 minutes
1 devoir•Total 15 minutes
Testing your knowledge on Economic Modelling•15 minutes
Instructeur
Évaluations de l’enseignant
Évaluations de l’enseignant
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Felipe M.
Étudiant(e) depuis 2018
’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’
Jennifer J.
Étudiant(e) depuis 2020
’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’
Larry W.
Étudiant(e) depuis 2021
’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’
Chaitanya A.
’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’
Avis des étudiants
4.3
25 avis
5 stars
60 %
4 stars
28 %
3 stars
4 %
2 stars
0 %
1 star
8 %
Affichage de 3 sur 25
J
JC
4·
Révisé le 21 janv. 2026
Great overview, would be useful to have more real-life examples.
H
HJ
5·
Révisé le 15 avr. 2024
I love this course as it is simple to understand and concise. Will be better if it can include more calculation or case scenarios in this course =)
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