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Journal Article

Citation

Zapata-Vázquez RE, Álvarez-Cervera FJ, Alonzo-Vázquez FM, García-Lira JR, Granados-García V, Pérez-Herrera NE, Medina-Moreno M. Value Health Reg. Issues 2017; 14: 96-102.

Affiliation

Faculty of Medicine. Autonomous University of Yucatan. Merida, Yucatan, Mexico.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.vhri.2017.08.011

PMID

29254549

Abstract

OBJECTIVES: To conduct an economic evaluation of intracranial pressure (ICP) monitoring on the basis of current evidence from pediatric patients with severe traumatic brain injury, through a statistical model.

METHODS: The statistical model is a decision tree, whose branches take into account the severity of the lesion, the hospitalization costs, and the quality-adjusted life-year for the first 6 months post-trauma. The inputs consist of probability distributions calculated from a sample of 33 surviving children with severe traumatic brain injury, divided into two groups: with ICP monitoring (monitoring group) and without ICP monitoring (control group). The uncertainty of the parameters from the sample was quantified through a probabilistic sensitivity analysis using the Monte-Carlo simulation method. The model overcomes the drawbacks of small sample sizes, unequal groups, and the ethical difficulty in randomly assigning patients to a control group (without monitoring).

RESULTS: The incremental cost in the monitoring group was Mex$3,934 (Mexican pesos), with an increase in quality-adjusted life-year of 0.05. The incremental cost-effectiveness ratio was Mex$81,062. The cost-effectiveness acceptability curve had a maximum at 54% of the cost effective iterations. The incremental net health benefit for a willingness to pay equal to 1 time the per capita gross domestic product for Mexico was 0.03, and the incremental net monetary benefit was Mex$5,358.

CONCLUSIONS: The results of the model suggest that ICP monitoring is cost effective because there was a monetary gain in terms of the incremental net monetary benefit.

Copyright © 2017. Published by Elsevier Inc.


Language: en

Keywords

brain injuries; cost-benefit analysis; decision support techniques; physiologic monitoring; probabilistic models; uncertainty

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