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Home›Healthcare Management›Cost-Effectiveness Analysis in HTA
Process / pipelineHealth economics, Decision analysis

Cost-Effectiveness Analysis in HTA

Cost-Effectiveness Analysis for Healthcare Technology Evaluation and Reimbursement · Also known as: CEA, Cost-Effectiveness Analysis Healthcare

Cost-Effectiveness Analysis (CEA) is an economic evaluation method that compares the cost and health benefits of alternative treatments to determine whether an intervention provides good value for money. Within Health Technology Assessment, CEA is the primary tool for recommending reimbursement and coverage decisions.

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Cost-Effectiveness Analysis in HTA
Balanced Scorecard in He…Clinical AuditDEA Hospital EfficiencyHealth Technology Assess…Staffing Ratio AnalysisCost-Effectiveness Analy…

When to use it

Use CEA when comparing two or more treatments for the same condition, when time horizons are long (need to project beyond trial data), or when health gains are measured in QALYs rather than monetary terms. CEA is standard for reimbursement decisions in Australia, Canada, the UK, and increasingly in the US. Avoid CEA if outcomes cannot be measured (subjective preferences only), if the technology has no health impact, or if comparing across very different disease areas requires aggregation across non-comparable outcomes.

Strengths & limitations

Strengths
  • Directly answers the policy question: is the benefit worth the cost given our threshold?
  • Enables transparent comparison across diverse technologies and diseases using a common metric (cost per QALY)
  • Flexible framework accommodates many types of outcomes and time horizons through modeling
  • Sensitivity and scenario analysis quantify uncertainty and support robust decision-making
  • Standardized methodology allows benchmarking across countries and institutions
Limitations
  • QALY calculation requires utility weights (preference scores) that vary by population and may not capture individual patient values
  • Time horizon and discount rate choices significantly affect results; selecting these requires judgment
  • Modeling long-term costs and outcomes (e.g., lifetime) introduces substantial uncertainty
  • Does not capture equity: a treatment may be cost-effective overall but benefit only wealthy patients
  • Thresholds (e.g., $50,000 per QALY) are politically determined and vary across countries; no universal standard

Frequently asked

What is the difference between CEA and cost-benefit analysis?

CEA measures benefits in natural units (QALYs, life years). Cost-benefit analysis converts benefits to monetary value (e.g., value of a life = $5 million). CEA is preferred in healthcare because monetizing health is ethically contentious; CEA separates the technical question (cost per outcome) from the value judgment (is this threshold acceptable?).

How do I calculate a QALY?

QALY = (years of life) × (quality weight). Quality weight ranges 0 (death) to 1 (perfect health). A treatment extending life 5 years with quality weight 0.8 = 4 QALYs. Weights come from instruments like EQ-5D (patient self-report) or TTO (time trade-off), eliciting patient preferences.

What discount rate should I use?

Standard is 3% per year for both costs and health benefits (US and many other countries). UK uses 3.5%. The discount rate reflects how much we value future costs and health relative to present: 3% per year means we value a benefit 20 years from now at 55% of its present value.

What if ICER is dominated (more costly and less effective)?

The new treatment should not be funded; the old treatment dominates. If ICER is outside the threshold but provides substantial benefit to a subgroup, consider conditional coverage (e.g., restricted to patients with genetic marker) or requiring further evidence.

How do I handle uncertainty in CEA results?

Use one-way sensitivity analysis (vary one parameter at a time) to identify key drivers. Use probabilistic sensitivity analysis (randomly sample all parameters from distributions) to generate confidence intervals. Create a cost-effectiveness acceptability curve showing probability of cost-effectiveness across thresholds.

Sources

  1. Gold, M. R., Siegel, J. E., Russell, L. B., & Weinstein, M. C. (Eds.). (1996). Cost-Effectiveness in Health and Medicine. Oxford University Press. ISBN: 9780195108231
  2. Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the Economic Evaluation of Health Care Programmes (4th ed.). Oxford University Press. link ↗
  3. Shiroiwa, T., Sung-Jae, I., Fukuda, T., & Sanon, M. (2016). International survey on QALYs and cost-effectiveness thresholds. Health Policy, 120(5), 504–514. link ↗

How to cite this page

ScholarGate. (2026, June 3). Cost-Effectiveness Analysis for Healthcare Technology Evaluation and Reimbursement. ScholarGate. https://scholargate.app/en/healthcare-management/cost-effectiveness-analysis-hta

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Balanced Scorecard in HealthcareClinical AuditDEA Hospital EfficiencyHealth Technology AssessmentStaffing Ratio Analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Referenced by

Balanced Scorecard in HealthcareCost-Effectiveness Analysis for PolicyDEA Hospital EfficiencyHealth Technology Assessment

Similar methods

Cost-Effectiveness AnalysisCost-Effectiveness Analysis for PolicyHealth Technology AssessmentCost-Utility AnalysisQuality-Adjusted Life YearDecision Analytic ModelingBudget Impact AnalysisQuality-Adjusted Life Years

Related reference concepts

Cost-Effectiveness AnalysisCost-Effectiveness AnalysisCost-Effectiveness AnalysisEconomic Evaluation MethodsEconomic Evaluation MethodsHealth Technology Assessment

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Cost-Effectiveness Analysis in HTA (Cost-Effectiveness Analysis for Healthcare Technology Evaluation and Reimbursement). Retrieved 2026-07-21 from https://scholargate.app/en/healthcare-management/cost-effectiveness-analysis-hta · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Diane Meade Drummond, Michael Gold
Subfamily
Health economics, Decision analysis
Year
1996
Type
Economic evaluation methodology
Related methods
Balanced Scorecard in HealthcareClinical AuditDEA Hospital EfficiencyHealth Technology AssessmentStaffing Ratio Analysis
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