Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.

<h4>Objective</h4>To evaluate variation in trends in bloodstream infection (BSI) rates in neonatal units (NNUs) in England according to the data sources and linkage methods used.<h4>Methods</h4>We used deterministic and probabilistic methods to link clinical records from 112...

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Main Authors: Caroline Fraser, Berit Muller-Pebody, Ruth Blackburn, Jim Gray, Sam J Oddie, Ruth E Gilbert, Katie Harron
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0226040
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spelling doaj-7bcb211607c349c1b0d9d229b96bdd5f2021-05-30T04:30:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011412e022604010.1371/journal.pone.0226040Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.Caroline FraserBerit Muller-PebodyRuth BlackburnJim GraySam J OddieRuth E GilbertKatie Harron<h4>Objective</h4>To evaluate variation in trends in bloodstream infection (BSI) rates in neonatal units (NNUs) in England according to the data sources and linkage methods used.<h4>Methods</h4>We used deterministic and probabilistic methods to link clinical records from 112 NNUs in the National Neonatal Research Database (NNRD) to national laboratory infection surveillance data from Public Health England. We calculated the proportion of babies in NNRD (aged <1 year and admitted between 2010-2017) with a BSI caused by clearly pathogenic organisms between two days after admission and two days after discharge. We used Poisson regression to determine trends in the proportion of babies with BSI based on i) deterministic and probabilistic linkage of NNRD and surveillance data (primary measure), ii) deterministic linkage of NNRD-surveillance data, iii) NNRD records alone, and iv) linked NNRD-surveillance data augmented with clinical records of laboratory-confirmed BSI in NNRD.<h4>Results</h4>Using deterministic and probabilistic linkage, 5,629 of 349,740 babies admitted to a NNU in NNRD linked with 6,660 BSI episodes accounting for 38% of 17,388 BSI records aged <1 year in surveillance data. The proportion of babies with BSI due to clearly pathogenic organisms during their NNU admission was 1.0% using deterministic plus probabilistic linkage (primary measure), compared to 1.0% using deterministic linkage alone, 0.6% using NNRD records alone, and 1.2% using linkage augmented with clinical records of BSI in NNRD. Equivalent proportions for babies born before 32 weeks of gestation were 5.0%, 4.8%, 2.9% and 5.9%. The proportion of babies who linked to a BSI decreased by 7.5% each year (95% confidence interval [CI]: -14.3%, -0.1%) using deterministic and probabilistic linkage but was stable using clinical records of BSI or deterministic linkage alone.<h4>Conclusion</h4>Linkage that combines BSI records from national laboratory surveillance and clinical NNU data sources, and use of probabilistic methods, substantially improved ascertainment of BSI and estimates of BSI trends over time, compared with single data sources.https://doi.org/10.1371/journal.pone.0226040
collection DOAJ
language English
format Article
sources DOAJ
author Caroline Fraser
Berit Muller-Pebody
Ruth Blackburn
Jim Gray
Sam J Oddie
Ruth E Gilbert
Katie Harron
spellingShingle Caroline Fraser
Berit Muller-Pebody
Ruth Blackburn
Jim Gray
Sam J Oddie
Ruth E Gilbert
Katie Harron
Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.
PLoS ONE
author_facet Caroline Fraser
Berit Muller-Pebody
Ruth Blackburn
Jim Gray
Sam J Oddie
Ruth E Gilbert
Katie Harron
author_sort Caroline Fraser
title Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.
title_short Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.
title_full Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.
title_fullStr Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.
title_full_unstemmed Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England.
title_sort linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in england.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description <h4>Objective</h4>To evaluate variation in trends in bloodstream infection (BSI) rates in neonatal units (NNUs) in England according to the data sources and linkage methods used.<h4>Methods</h4>We used deterministic and probabilistic methods to link clinical records from 112 NNUs in the National Neonatal Research Database (NNRD) to national laboratory infection surveillance data from Public Health England. We calculated the proportion of babies in NNRD (aged <1 year and admitted between 2010-2017) with a BSI caused by clearly pathogenic organisms between two days after admission and two days after discharge. We used Poisson regression to determine trends in the proportion of babies with BSI based on i) deterministic and probabilistic linkage of NNRD and surveillance data (primary measure), ii) deterministic linkage of NNRD-surveillance data, iii) NNRD records alone, and iv) linked NNRD-surveillance data augmented with clinical records of laboratory-confirmed BSI in NNRD.<h4>Results</h4>Using deterministic and probabilistic linkage, 5,629 of 349,740 babies admitted to a NNU in NNRD linked with 6,660 BSI episodes accounting for 38% of 17,388 BSI records aged <1 year in surveillance data. The proportion of babies with BSI due to clearly pathogenic organisms during their NNU admission was 1.0% using deterministic plus probabilistic linkage (primary measure), compared to 1.0% using deterministic linkage alone, 0.6% using NNRD records alone, and 1.2% using linkage augmented with clinical records of BSI in NNRD. Equivalent proportions for babies born before 32 weeks of gestation were 5.0%, 4.8%, 2.9% and 5.9%. The proportion of babies who linked to a BSI decreased by 7.5% each year (95% confidence interval [CI]: -14.3%, -0.1%) using deterministic and probabilistic linkage but was stable using clinical records of BSI or deterministic linkage alone.<h4>Conclusion</h4>Linkage that combines BSI records from national laboratory surveillance and clinical NNU data sources, and use of probabilistic methods, substantially improved ascertainment of BSI and estimates of BSI trends over time, compared with single data sources.
url https://doi.org/10.1371/journal.pone.0226040
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