Evidence map›Paper›PMID 22194318›Full record

ArticleJournal of public health (Oxford, England)2012

Perceived usefulness of syndromic surveillance in Ontario during the H1N1 pandemic.

Rachel Savage, Anna Chu, Laura C Rosella, Natasha S Crowcroft, Monali Varia, Michelle E Policarpio, Norman G Vinson, Anne-Luise Winter, Karen Hay, Richard F Davies and 3 more

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 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
–field-weighted citation impact
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.

  1. Article
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  9. Impact of seasonal and pandemic influenza on emergency department visits, 2003-2010, Ontario, Canada.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2013
    Article
  10. 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

13 authors.

Rachel SavageSurveillance and Epidemiology, Public Health Ontario, Toronto, ON, Canada.
Anna Chu
Laura C Rosella
Natasha S Crowcroft
Monali Varia
Michelle E Policarpio
Norman G Vinson
Anne-Luise Winter
Karen Hay
Richard F Davies
Ian Gemmill
Don Willison
Ian Johnson

Funding

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

Abstract

backgroundDespite the growing popularity of syndromic surveillance, little is known about if or how these systems are accepted, utilized and valued by end users. This study seeks to describe the use of syndromic surveillance systems in Ontario and users' perceptions of the value of these systems within the context of other surveillance systems.

methodsOntario's 36 public health units, the provincial ministry of health and federal public health agency completed a web survey to identify traditional and syndromic surveillance systems used routinely and during the pandemic and to describe system attributes and utility in monitoring pandemic activity and informing decision-making.

resultsSyndromic surveillance systems are used by 20/38 (53%) organizations. For routine surveillance, laboratory, integrated Public Health Information System and school absenteeism data are the most frequently used sources. Laboratory data received the highest ratings for reliability, timeliness and accuracy ('very acceptable' by 92, 51 and 89%). Hospital/clinic screening data were rated as the most reliable and timely syndromic data source (50 and 43%) and ED visit data the most accurate (48%). During the pandemic, laboratory data were considered the most useful for monitoring the epidemiology and informing decision-making while ED screening and visit data were considered the most useful syndromic sources.

conclusionsEnd user perceptions are valuable for identifying opportunities for improvement and guiding further investments in public health surveillance.

Indexed as

Influenza A Virus, H1N1 SubtypePandemicsData CollectionHealth PersonnelHumansInfluenza, HumanOntarioPopulation Surveillance

Identifiers

PMID22194318
PMCPMC7313939

What OpenQuestion holds

Textmetadata
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Registered trials

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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.