Evidence map›Paper›PMID 24875306›Full record

ArticlePloS one2014

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

David J Muscatello, Janaki Amin, C Raina MacIntyre, Anthony T Newall, William D Rawlinson, Vitali Sintchenko, Robin Gilmour, Sarah Thackway

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 34 citations in OpenAlex.

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  2. Influenza-Related Deaths in the Czech Republic Over 21 Seasons.Influenza and other respiratory viruses · 2025
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  13. Rapid mapping of the spatial and temporal intensity of influenza.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Article
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  18. Article
  19. Epidemiology of influenza B in Australia: 2001-2014 influenza seasons.Influenza and other respiratory viruses · 2017
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

David J MuscatelloCentre for Epidemiology and Evidence, New South Wales Ministry of Health, North Sydney, W, Australia; School of Public Health and Community Medicine, The University of New South Wales, Kensington, New South Wales, Australia.
Janaki AminThe Kirby Institute, The University of New South Wales, Coogee, New South Wales, Australia.
C Raina MacIntyreSchool of Public Health and Community Medicine, The University of New South Wales, Kensington, New South Wales, Australia.
Anthony T NewallSchool of Public Health and Community Medicine, The University of New South Wales, Kensington, New South Wales, Australia.
William D RawlinsonSouth East Area Laboratory Service, The Prince of Wales Hospital, Randwick, New South Wales, Australia; Faculty of Medicine, The University of New South Wales, New South Wales, Australia.
Vitali SintchenkoSydney Medical School, The University of Sydney, Camperdown, New South Wales, Australia; Centre for Infectious Diseases and Microbiology, Pathology West - Institute for Clinical Pathology and Medical Research, Westmead, New South Wales, Australia.
Robin GilmourCentre for Epidemiology and Evidence, New South Wales Ministry of Health, North Sydney, W, Australia.
Sarah ThackwayCentre for Epidemiology and Evidence, New South Wales Ministry of Health, North Sydney, W, Australia.
UNSW Sydney · AUNew South Wales Department of Health · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistorically, 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.

methodsPerson-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.

resultsThere 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.

conclusionsA 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.

Indexed as

AdolescentAdultAgedAged, 80 and overChildDatabases, FactualDisease NotificationFemaleHospitalizationHumansInfluenza, HumanMaleMiddle AgedMorbidityMortalityNew South Wales

Identifiers

PMID24875306
PMCPMC4038604
OpenAlexW2030885135

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.