IAPN: a simple framework for evaluating whether a population-based risk stratification tool will be cost-effective before implementation

IAPN: a simple framework for evaluating whether a population-based risk stratification tool will be cost-effective before implementation

Abstract Risk prediction tools are widely used in healthcare to identify individuals at high risk of adverse events who may benefit from proactive interventions. Traditionally, these tools are evaluated primarily on statistical performance measures—such as sensitivity, specificity, discrimination, a...

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Bibliographic Details
Main Authors: Steven Wyatt, Mohammed A. Mohammed, Peter Spilsbury
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Cost Effectiveness and Resource Allocation
Subjects:
Risk prediction
Positive predictive value
Number needed to treat
Cost
Intervention
Design stage evaluation
Online Access:https://doi.org/10.1186/s12962-024-00594-5
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https://doi.org/10.1186/s12962-024-00594-5

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