Cost effectiveness analysis is used to determine if a program or treatment achieves its objective at the lowest cost.

Study for the FIPA 2 Exam 3. Hone your skills with flashcards and multiple choice questions, each question with hints and explanations. Prepare for your exam confidently!

Multiple Choice

Cost effectiveness analysis is used to determine if a program or treatment achieves its objective at the lowest cost.

Explanation:
This question tests how cost-effectiveness analysis uses costs relative to outcomes measured in natural units to judge value. It compares how much each program costs for each unit of effect achieved (for example, cost per life-year saved or cost per case prevented), helping decide whether the objective is reached at the lowest possible cost among feasible options. This approach is appropriate when you care about the specific health outcome and want to know the additional cost for each extra unit of that outcome, rather than monetizing everything or assuming outcomes are the same. It differs from cost-minimization analysis, which only makes sense when outcomes are presumed equal and focuses on costs; cost-benefit analysis translates benefits into monetary terms to compare net dollars gained or lost; and time-series analysis is a statistical method for examining data trends over time rather than evaluating value for money.

This question tests how cost-effectiveness analysis uses costs relative to outcomes measured in natural units to judge value. It compares how much each program costs for each unit of effect achieved (for example, cost per life-year saved or cost per case prevented), helping decide whether the objective is reached at the lowest possible cost among feasible options. This approach is appropriate when you care about the specific health outcome and want to know the additional cost for each extra unit of that outcome, rather than monetizing everything or assuming outcomes are the same. It differs from cost-minimization analysis, which only makes sense when outcomes are presumed equal and focuses on costs; cost-benefit analysis translates benefits into monetary terms to compare net dollars gained or lost; and time-series analysis is a statistical method for examining data trends over time rather than evaluating value for money.

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