What are the limitations of cost-effectiveness analysis?

What are the limitations of cost-effectiveness analysis?

Cost-effectiveness analysis (CEA) has several limitations, including its reliance on assumptions, potential bias in data, and difficulty in measuring quality of life.

Can you explain how assumptions affect the results?

Assumptions can significantly impact CEA results by influencing the estimated costs and outcomes, leading to potentially misleading conclusions.

What biases should I be aware of?

Common biases include selection bias, reporting bias, and publication bias, which can skew the analysis and affect decision-making.

How do we measure quality of life in these analyses?

Quality of life is often measured using tools like QALYs (Quality-Adjusted Life Years) or utility scores, but these can be subjective.

Are there alternatives to cost-effectiveness analysis?

Yes, alternatives include cost-benefit analysis, cost-utility analysis, and budget impact analysis, each with its own strengths and weaknesses.