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Original Article

A cost-effectiveness analysis of reducing ventilator-associated pneumonia at a Danish ICU with ventilator bundle

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Pages 285-292 | Accepted 01 Dec 2011, Published online: 19 Dec 2011

Figures & data

Figure 1.  Illustration of the decision model for the Ventilator Bundle (VB). Starting from the left, the blue decision node represents the choice of whether to implement the VB in the ICU, Kolding Hospital. The green chance nodes represent the probabilities of developing VAP both for VB and Standard procedure and probability of death. The red terminal end-points illustrate the end of each possible path in the decision tree and are associated with individual costs and effects.

Figure 1.  Illustration of the decision model for the Ventilator Bundle (VB). Starting from the left, the blue decision node represents the choice of whether to implement the VB in the ICU, Kolding Hospital. The green chance nodes represent the probabilities of developing VAP both for VB and Standard procedure and probability of death. The red terminal end-points illustrate the end of each possible path in the decision tree and are associated with individual costs and effects.

Table 1.  Presentation of the systematic literature search.

Table 2.  Time and cost (€) estimated for each element in the VB. Time illustrates the amount of minutes per days the health personnel uses to conduct the element for each patient, where cost for these have been calculated as time*hourly set salary for the health personnel. Cost for DVT prophylaxis and oral decontamination have been calculated by Pharmacy, Kolding Hospital. All data were price level 2010.

Table 3.  Evidence-based model inputs and estimates by Kolding Hospital, along with distributions for each variable. Cost of VB includes capital costs, and these were discounted at 3% for 8 years.

Table 4.  The expected costs and effects are displayed, which have been calculated from a cohort of 140 patients for each treatment.

Table 5.  One-way sensitivity analysis for each variable, demonstrating the individual influence for each variable on ICER.

Figure 2.  Incremental cost-effectiveness scatter plot for prevention of one episode of VAP.

Figure 2.  Incremental cost-effectiveness scatter plot for prevention of one episode of VAP.

Figure 3.  Incremental cost-effectiveness scatter plot per death prevented.

Figure 3.  Incremental cost-effectiveness scatter plot per death prevented.

Figure 4.  Cost effectiveness acceptability curve for prevention of one case of VAP.

Figure 4.  Cost effectiveness acceptability curve for prevention of one case of VAP.

Figure 5.  Cost-effectiveness acceptability curve for prevention of one death.

Figure 5.  Cost-effectiveness acceptability curve for prevention of one death.

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