Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.

<h4>Background</h4>Historically, counting influenza recorded in administrative health outcome databases has been considered insufficient to estimate influenza attributable morbidity and mortality in populations. We used database record linkage to evaluate whether modern databases have si...

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Autores principales:	David J Muscatello, Janaki Amin, C Raina MacIntyre, Anthony T Newall, William D Rawlinson, Vitali Sintchenko, Robin Gilmour, Sarah Thackway
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d897da3146034b548c6b15f21f37d9e6
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spelling	oai:doaj.org-article:d897da3146034b548c6b15f21f37d9e62021-11-18T08:17:52ZInaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.1932-620310.1371/journal.pone.0098446https://doaj.org/article/d897da3146034b548c6b15f21f37d9e62014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24875306/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Historically, counting influenza recorded in administrative health outcome databases has been considered insufficient to estimate influenza attributable morbidity and mortality in populations. We used database record linkage to evaluate whether modern databases have similar limitations.<h4>Methods</h4>Person-level records were linked across databases of laboratory notified influenza, emergency department (ED) presentations, hospital admissions and death registrations, from the population (∼6.9 million) of New South Wales (NSW), Australia, 2005 to 2008.<h4>Results</h4>There were 2568 virologically diagnosed influenza infections notified. Among those, 25% of 40 who died, 49% of 1451 with a hospital admission and 7% of 1742 with an ED presentation had influenza recorded on the respective database record. Compared with persons aged ≥65 years and residents of regional and remote areas, respectively, children and residents of major cities were more likely to have influenza coded on their admission record. Compared with older persons and admitted patients, respectively, working age persons and non-admitted persons were more likely to have influenza coded on their ED record. On both ED and admission records, persons with influenza type A infection were more likely than those with type B infection to have influenza coded. Among death registrations, hospital admissions and ED presentations with influenza recorded as a cause of illness, 15%, 28% and 1.4%, respectively, also had laboratory notified influenza. Time trends in counts of influenza recorded on the ED, admission and death databases reflected the trend in counts of virologically diagnosed influenza.<h4>Conclusions</h4>A minority of the death, hospital admission and ED records for persons with a virologically diagnosed influenza infection identified influenza as a cause of illness. Few database records with influenza recorded as a cause had laboratory confirmation. The databases have limited value for estimating incidence of influenza outcomes, but can be used for monitoring variation in incidence over time.David J MuscatelloJanaki AminC Raina MacIntyreAnthony T NewallWilliam D RawlinsonVitali SintchenkoRobin GilmourSarah ThackwayPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 5, p e98446 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q David J Muscatello Janaki Amin C Raina MacIntyre Anthony T Newall William D Rawlinson Vitali Sintchenko Robin Gilmour Sarah Thackway Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.
description	<h4>Background</h4>Historically, counting influenza recorded in administrative health outcome databases has been considered insufficient to estimate influenza attributable morbidity and mortality in populations. We used database record linkage to evaluate whether modern databases have similar limitations.<h4>Methods</h4>Person-level records were linked across databases of laboratory notified influenza, emergency department (ED) presentations, hospital admissions and death registrations, from the population (∼6.9 million) of New South Wales (NSW), Australia, 2005 to 2008.<h4>Results</h4>There were 2568 virologically diagnosed influenza infections notified. Among those, 25% of 40 who died, 49% of 1451 with a hospital admission and 7% of 1742 with an ED presentation had influenza recorded on the respective database record. Compared with persons aged ≥65 years and residents of regional and remote areas, respectively, children and residents of major cities were more likely to have influenza coded on their admission record. Compared with older persons and admitted patients, respectively, working age persons and non-admitted persons were more likely to have influenza coded on their ED record. On both ED and admission records, persons with influenza type A infection were more likely than those with type B infection to have influenza coded. Among death registrations, hospital admissions and ED presentations with influenza recorded as a cause of illness, 15%, 28% and 1.4%, respectively, also had laboratory notified influenza. Time trends in counts of influenza recorded on the ED, admission and death databases reflected the trend in counts of virologically diagnosed influenza.<h4>Conclusions</h4>A minority of the death, hospital admission and ED records for persons with a virologically diagnosed influenza infection identified influenza as a cause of illness. Few database records with influenza recorded as a cause had laboratory confirmation. The databases have limited value for estimating incidence of influenza outcomes, but can be used for monitoring variation in incidence over time.
format	article
author	David J Muscatello Janaki Amin C Raina MacIntyre Anthony T Newall William D Rawlinson Vitali Sintchenko Robin Gilmour Sarah Thackway
author_facet	David J Muscatello Janaki Amin C Raina MacIntyre Anthony T Newall William D Rawlinson Vitali Sintchenko Robin Gilmour Sarah Thackway
author_sort	David J Muscatello
title	Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.
title_short	Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.
title_full	Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.
title_fullStr	Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.
title_full_unstemmed	Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.
title_sort	inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/d897da3146034b548c6b15f21f37d9e6
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Inaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.

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