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Cost-Effectiveness Analysis (CEA)

Cost-Effectiveness Analysis (CEA) is a method for comparing the relative costs and outcomes of different options when the benefits are difficult to monetize. It helps decision-makers choose the most efficient option by calculating the cost per unit of effectiveness.

60-180 min1-10 peopleHard
When to Use

Use CEA when you need to compare different courses of action but cannot easily assign a monetary value to the benefits. This is particularly useful in healthcare, social programs, and environmental projects where outcomes are measured in physical units (e.g., lives saved, reduced emissions).

How It Works

Solves: Difficulty comparing options with non-monetary benefits; limited resources requiring efficient allocation.

Step-by-Step Instructions
Follow these steps to facilitate this method
  1. 1

    Step 1: Define the options to be compared. (15 min)

  2. 2

    Step 2: Identify and quantify all relevant costs associated with each option in monetary terms. (30 min)

  3. 3

    Step 3: Identify and quantify the effectiveness of each option in physical units (e.g., lives saved, units of output). (30 min)

  4. 4

    Step 4: Calculate the cost-effectiveness ratio (cost/effectiveness or effectiveness/cost) for each option. (15 min)

  5. 5

    Step 5: Rank the options based on their cost-effectiveness ratios, from most to least cost-effective. (15 min)

  6. 6

    Step 6: Conduct sensitivity analysis to test the robustness of the results to changes in key assumptions. (30 min)

  7. 7

    Step 7: Document all assumptions and limitations of the analysis. (15 min)

Facilitator Tips
  • Ensure that all relevant costs and benefits are included in the analysis, even if they are difficult to quantify.
  • Consider the perspective of all stakeholders when identifying costs and benefits.
Variations
  • Incorporate distributional weights to account for equity considerations.
  • Use probabilistic sensitivity analysis to account for uncertainty in the data.
Source: BetterEvaluationLearn more