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2014
DOI: 10.1093/jpids/piu073
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Quantifying the Burden of Hospital-Acquired Bloodstream Infection in Children in England by Estimating Excess Length of Hospital Stay and Mortality Using a Multistate Analysis of Linked, Routinely Collected Data

Abstract: Hospital-acquired bloodstream infection increased the length of stay and mortality of pediatric inpatients. The results of this study provide an evidence base to judge the health and economic impact of programs to prevent and control HA-BSI in children.

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Cited by 23 publications
(36 citation statements)
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“…The mean difference in estimated length of stay between transient states (depicted with 0 and 1.x notation in Figure 1) was calculated on each day (given that infection had or had not occurred by that day) and averaged across all days. This method for estimating transition probabilities is in line with previous studies utilising the multistate methodology to estimate infection-related, time-adjusted excess length of stay [12,14,24].…”
Section: (Ii) Length Of Staysupporting
confidence: 71%
See 1 more Smart Citation
“…The mean difference in estimated length of stay between transient states (depicted with 0 and 1.x notation in Figure 1) was calculated on each day (given that infection had or had not occurred by that day) and averaged across all days. This method for estimating transition probabilities is in line with previous studies utilising the multistate methodology to estimate infection-related, time-adjusted excess length of stay [12,14,24].…”
Section: (Ii) Length Of Staysupporting
confidence: 71%
“…Using the above methodology allows for the computation of time-and covariate-adjusted estimation of independent variable impacts the daily risk of in-hospital mortality [12,24].…”
Section: (I) In-hospital Mortalitymentioning
confidence: 99%
“…Other approaches, including multistate regression analysis, could be adopted to investigate multiple events associated with HAI, such as excess length of hospital stay and mortality. 28 Our multicenter study was conducted in 2 countries; differences in population demographic characteristics, organization of care, and laboratory techniques for confirming HAIs and diagnosing MDR may have influenced our results. Further studies should be conducted in multiple countries to better address geographical variability.…”
Section: Discussionmentioning
confidence: 97%
“…It also provided important insight into the pathogens associated with hospital-acquired infections and their susceptibility to recommended first-line antibiotics. A subsequent study using the same linked dataset quantified the increased length of stay and excess mortality associated with hospital-acquired bacteraemia [87]. A complementary approach involving linkage of LabBase2 data with clinical and demographic data from PICANet has also been used for monitoring of risk-adjusted bacteraemia trends in paediatric intensive care [89].…”
Section: Current and Future Developments In Surveillance (A) Data Linmentioning
confidence: 99%