What question did this study set out to answer?

To establish a general statistical framework for assessing uncertainty in cost-effectiveness ratios estimated from randomized clinical trial data.

September 1, 1994Health Economics

Costs, effects and C/E‐ratios alongside a clinical trial

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Authors

BHBen A. van HoutUniversity of Sheffield MAMaiwenn AlErasmus University Rotterdam GGGilad S. GordonNational Grid (United States)

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Implication

Randomized trial framework reveals cost-effectiveness uncertainty in sepsis syndrome, indicating improved methods to guide healthcare resource allocation.

Key Points

To establish a general statistical framework for assessing uncertainty in cost-effectiveness ratios estimated from randomized clinical trial data.
Calculated a 95% probability ellipse to capture bivariate uncertainty in costs and effects.
Formulated the cost-effectiveness (C/E) acceptability curve to evaluate the probability of treatment acceptability against predefined threshold values.
Applied the framework to patient outcome and cost data from a phase II randomized trial evaluating anakinra for sepsis syndrome.
Established that the C/E-acceptability curve successfully defines the probability that an observed C/E-ratio is acceptable across a spectrum of decision-maker willingness-to-pay values.
Demonstrated practical implementation by generating uncertainty bounds for costs per life saved and costs per patient discharged alive in sepsis syndrome.

Cite This Study

Hout et al. (1994) studied this question.

synapsesocial.com/papers/69dbae9950e1971baba3c34a https://doi.org/10.1002/hec.4730030505

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Implication

Randomized trial framework reveals cost-effectiveness uncertainty in sepsis syndrome, indicating improved methods to guide healthcare resource allocation.

Costs, effects and C/E‐ratios alongside a clinical trial

Discussion

Member takes

Implication

Key Points

Cite This Study

Costs, effects and C/E‐ratios alongside a clinical trial

Discussion

Member takes

Implication

Key Points

Cite This Study

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