Evidence map›Paper›PMID 23110473›Full record

ArticleBMC public health2012

The use of syndromic surveillance for decision-making during the H1N1 pandemic: a qualitative study.

Anna Chu, Rachel Savage, Don Willison, Natasha S Crowcroft, Laura C Rosella, Doug Sider, Jason Garay, Ian Gemmill, Anne-Luise Winter, Richard F Davies and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  10. A Practitioner-Driven Research Agenda for Syndromic Surveillance.Public health reports (Washington, D.C. : 1974)
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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

11 authors at 4 institutions in 1 country.

Anna ChuPublic Health Ontario, Toronto, ON, Canada.
Rachel Savage
Don Willison
Natasha S Crowcroft
Laura C Rosella
Doug Sider
Jason Garay
Ian Gemmill
Anne-Luise Winter
Richard F Davies
Ian Johnson
Public Health Ontario · CAKingston Health Sciences Centre · CAUniversity of Ottawa · CAUniversity of Toronto · CA

Funding

Canadian Institutes of Health Research H1N-104055
6 · The paper itself

Abstract

backgroundAlthough an increasing number of studies are documenting uses of syndromic surveillance by front line public health, few detail the value added from linking syndromic data to public health decision-making. This study seeks to understand how syndromic data informed specific public health actions during the 2009 H1N1 pandemic.

methodsSemi-structured telephone interviews were conducted with participants from Ontario's public health departments, the provincial ministry of health and federal public health agency to gather information about syndromic surveillance systems used and the role of syndromic data in informing specific public health actions taken during the pandemic. Responses were compared with how the same decisions were made by non-syndromic surveillance users.

resultsFindings from 56 interviews (82% response) show that syndromic data were most used for monitoring virus activity, measuring impact on the health care system and informing the opening of influenza assessment centres in several jurisdictions, and supporting communications and messaging, rather than its intended purpose of early outbreak detection. Syndromic data had limited impact on decisions that involved the operation of immunization clinics, school closures, sending information letters home with school children or providing recommendations to health care providers. Both syndromic surveillance users and non-users reported that guidance from the provincial ministry of health, communications with stakeholders and vaccine availability were driving factors in these public health decisions.

conclusionsSyndromic surveillance had limited use in decision-making during the 2009 H1N1 pandemic in Ontario. This study provides insights into the reasons why this occurred. Despite this, syndromic data were valued for providing situational awareness and confidence to support public communications and recommendations. Developing an understanding of how syndromic data are utilized during public health events provides valuable evidence to support future investments in public health surveillance.

Indexed as

Decision MakingInfluenza A Virus, H1N1 SubtypeSentinel SurveillanceAdministrative PersonnelComputer SystemsData CollectionHumansInfluenza, HumanInterviews as TopicOntarioPandemicsPublic HealthQualitative ResearchRisk Assessment

Identifiers

PMID23110473
PMCPMC3539916
OpenAlexW2032230207

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.