We are sorry, but NCBI web applications do not support your browser and may not function properly. More information

Results: 5

1.
Figure 2

Figure 2. Number of infections prevented in ICUs and the cost of the intervention during the first 10 years after implementation.. From: Cost and Effects of Different Admission Screening Strategies to Control the Spread of Methicillin-resistant Staphylococcus aureus.

Isolation efficacy was 100% (A), 50% (B), 25% (C) and 10% (D). The credibility intervals denote the uncertainty due to the inherent stochasticity of the dynamics of MRSA and contain 90% of our simulation results. The 10 dots correspond to the means after 1,2,…,10 years.

Tanya Gurieva, et al. PLoS Comput Biol. 2013 February;9(2):e1002874.
2.
Figure 3

Figure 3. Mean total daily costs (intervention costs and costs due to infections) for different intervention strategies.. From: Cost and Effects of Different Admission Screening Strategies to Control the Spread of Methicillin-resistant Staphylococcus aureus.

Isolation efficacy was 100% (A), 50% (B), 25% (C) and 10% (D) and all other parameter values are at the default value (see Table 1). Credibility intervals are not shown because of large fluctuations in the daily costs due to stochasticity.

Tanya Gurieva, et al. PLoS Comput Biol. 2013 February;9(2):e1002874.
3.
Figure 4

Figure 4. Univariate sensitivity analysis of the total costs during the first 10 years after implementation of the intervention when the isolation efficacy is 25%.. From: Cost and Effects of Different Admission Screening Strategies to Control the Spread of Methicillin-resistant Staphylococcus aureus.

The black line corresponds to the mean costs for the default parameter (see Table 1) and the grey area corresponds to the 90% credibility interval at the default values. All coloured bars correspond to the range of the mean total costs of an intervention strategy if one parameter is changed between its extreme ranges (Table 2).

Tanya Gurieva, et al. PLoS Comput Biol. 2013 February;9(2):e1002874.
4.
Figure 1

Figure 1. Prevalence of MRSA hospital-wide, in ICU wards and the number of isolation beds needed.. From: Cost and Effects of Different Admission Screening Strategies to Control the Spread of Methicillin-resistant Staphylococcus aureus.

The upper graphs denote the hospital-wide MRSA prevalence for different values of the isolation efficacy. The middle row of graphs depicts the prevalence of MRSA in ICU wards. The lower row of graphs depicts the number of isolation beds needed hospital-wide. Interventions start at time 0 and the lines for negative time correspond to the “do-nothing” scenario. Efficacy of patient isolation varied from left to right from 100%, 50%, 25% to 10%. The lines denote the mean of 1000 simulations; the coloured shaded areas denote the 90% credibility intervals due to stochasticity. All parameter values are at the default-value.

Tanya Gurieva, et al. PLoS Comput Biol. 2013 February;9(2):e1002874.
5.
Figure 5

Figure 5. Time (T) till the median (and 10% and 90% quantile) weekly total costs with different intervention scenarios become lower than in the do-nothing scenario.. From: Cost and Effects of Different Admission Screening Strategies to Control the Spread of Methicillin-resistant Staphylococcus aureus.

The parameter q on the horizontal axis is the infection costs per colonized patient day in ICU wards divided by the costs of a single screening at admission. Isolation efficacy is A) 100%, B) 50%, C) 25% and D) 10%. The costs of an infection in non-ICU wards was set at €1.000 and additional costs of an isolation day at €20. If a curve for a strategy is not depicted in the figure, the median time till the weekly costs of the strategy become lower than the weekly costs in the do-nothing scenario exceeds 10 years.

Tanya Gurieva, et al. PLoS Comput Biol. 2013 February;9(2):e1002874.

Supplemental Content

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Write to the Help Desk