Cost Effectiveness Analysis in Health and Healthcare
Explores cost effectiveness analysis for evaluating medical technologies, covering diagnostic assessment via ROC analysis, health measurement, and classical and current journal literature.
Summary
Recent recorded grades — Spring 2018: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.86 GPA, 85.7% A/AB (n=7 letter grades).
What you’ll be able to do
Apply basic concepts of economic analysis to the assessment of medical technologies and healthcare interventions more broadly
Examine health outcomes on a range from objective measures of physical systems to subjective preference-based measures of health utility and describe the benefits and limitations of using quality-adjusted life years (QALYs) as a health outcome measure
Explain why we seek to obtain estimates of the “opportunity cost” of using health care resources, describe the process of “costing” in economic assessments of medical technologies and identify useful sources of information for obtaining cost information (and their limitations)
Describe how primary data from randomized controlled trials and observational studies can be designed to assess medical technologies and explain the advantages and disadvantages of different designs in terms of their internal and external validity and decision-relevance
Describe how evidence from secondary data can be integrated using meta-analysis and decision-analytic modeling methods to assess medical technologies and demonstrate basic ability to design and execute simple decision tree and Markov models for cost-effectiveness analysis
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapSOC/POP HLTH 797 and POP HLTH/B M I 552
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
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Professors
Spring 2027No instructors recorded for this selection.
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Calendar & sections
Spring 2027Schedule loads here as you scroll.
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Student experience
the class
Recent recorded grades — Spring 2018: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.86 GPA, 85.7% A/AB (n=7 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Cost effectiveness analysis in evaluating medical technologies.
- Assessing diagnostic technologies and ROC analysis.
- Measuring health for technology assessment.
- Health outcome measures, including QALYs and health utility.
- Meta-analysis, decision-analytic modeling, decision trees, and Markov models.
Skills
- Applying cost effectiveness analysis and economic analysis concepts to evaluate medical technologies and healthcare interventions.
- Assessing diagnostic technologies using ROC analysis.
- Examining health outcomes, including objective measures and preference-based measures like quality-adjusted life years (QALYs).
- Estimating opportunity costs and describing the costing process in economic assessments of medical technologies.
- Designing primary data collection from randomized controlled trials and observational studies to assess medical technologies.
- Integrating secondary data using meta-analysis and designing/executing simple decision tree and Markov models for cost-effectiveness analysis.
Grades
Latest available · Spring 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
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Through Spring 2025
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Not enough comparable courses for Spring 2027 in UW–Madison.
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Catalog & offerings
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Grade history
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
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Model & dataset provenance
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