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Table 1.

Data from pre-intervention LTACHs [21].

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Table 1 Expand

Table 2.

Model 3 parameters and assumptions.

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Table 2 Expand

Table 3.

Model calibration and results: CPE LTACH pre-intervention.

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Table 3 Expand

Fig 1.

Relationships between facility and equilibrium clinical infection incidence with constant importation.

The curve was generated using formulas for Model 4, at values for the surveillance test frequency ranging from 0 to once per week and no pathogen reduction effect of the intervention. Other model parameters were set at the assumed and estimated values described in Section 3.3, fit to data from CPE in LTACHs. The points (circles) represent average surveillance intervals of, from left to right, one week, two weeks, one month, and no surveillance. Facility was calculated using the formula in Section 3.2.4 with no decolonization, and we calculated infections per admission as the product of the mean length of stay, the per capita clinical detection rate, and the equilibrium prevalence of colonized, non-clinically detected patients, assuming a constant importation rates of 0.01% (solid), 0.1% (dashed), 1% (dotted), and 5% (dash-dot).

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Fig 1 Expand

Table 4.

and threshold estimates for combined surveillance and decolonization intervention.

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Table 4 Expand

Fig 2.

Effect of length-of-stay interventions on facility basic reproduction number.

Calculations of the facility reproduction number, , for Model 3 with the following fixed values calibrated to pre-intervention CRE data in long-term acute care hospitals (Table 3): transmission rate per day, clinical detection rate per day, colonization clearance rate per day, and contact precaution effectiveness . Length of stay was governed by a 4-parameter mixed exponential–gamma distribution, and specific parameters were varied from the baseline values (Table 3) in a direction that decreased the overall mean length of stay from left-to-right in each of the sub-figures, while holding all other parameters constant. Upper-left: both the exponential rate parameter and the gamma rate parameter were simultaneously increased by the same factor from their baseline values. Upper-right: the exponential rate parameter was increased from its baseline value. Lower-left: the gamma rate parameter was increased from its baseline value. Lower-right: the fraction of patients following the exponential distribution was decreased from its baseline value.

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Fig 2 Expand

Fig 3.

Scatterplot of facility basic reproduction number vs. length of stay (LOS) distribution statistics.

Calculations of the facility reproduction number, , for Model 3 with the following fixed values calibrated to pre-intervention CRE data in long-term acute care hospitals (Table 3): transmission rate per day, clinical detection rate per day, colonization clearance rate per day, and contact precaution effectiveness . The dots represent results for 1000 sets of values for each of the four parameters governing the mixed exponential–gamma length of stay distribution, drawn from four independent uniform distributions ranging from 60% to 140% of the calibrated values in Table 3. Each subplot displays the same 1000 results, plotted against different statistics of the length of stay distribution for each set of length-of-stay parameters.

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Fig 3 Expand