Evidence map›Paper›PMID 41393796›Full record

ArticleCanada communicable disease report = Releve des maladies transmissibles au Canada2025

Minimum data cleaning recommendations for infection prevention and control acute care surveillance reporting: A solution for "garbage in, garbage out".

Kathryn Bush, Joelle Cayen, Christine Blaser, Blanda Chow, Jennifer Ellison, Jennifer Happe, Caroline Quach, Christian Tsang, Olivia Varsaneux, Kristen Versluys and 2 more

Abstract read
In one paragraph

Article in Canada communicable disease report = Releve des maladies transmissibles au Canada, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Kathryn BushInterior Health Region, BC.
Joelle CayenCanadian Nosocomial Infection Surveillance Program, Public Health Agency of Canada, Ottawa, ON.
Christine BlaserCentre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de-Montréal, Montréal, QC.
Blanda ChowAlberta Health Services, Edmonton, AB.
Jennifer EllisonAlberta Health Services, Edmonton, AB.
Jennifer HappeAlberta Health Services, Edmonton, AB.
Caroline QuachDepartment of Microbiology, Infectious Diseases and Immunology, University of Montréal, Montréal, QC.
Christian TsangAlberta Health Services, Edmonton, AB.
Olivia VarsaneuxCanadian Nosocomial Infection Surveillance Program, Public Health Agency of Canada, Ottawa, ON.
Kristen VersluysInterior Health Region, BC.
Victoria WilliamsSunnybrook Hospital, Toronto, ON.
Robyn MitchellCanadian Nosocomial Infection Surveillance Program, Public Health Agency of Canada, Ottawa, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Outcome surveillance is an important component of infection prevention and control (IPAC) programs to guide healthcare decisions. It is crucial that the reported data are of the highest quality. Reviewing completeness, accuracy and timeliness of the data is important to reduce data inconsistencies. However, many IPAC staff do not have training in data cleaning or data quality activities. Methods: Expert epidemiologists across Canada have created best practice guidance for data quality activities to provide sufficient detail to improve this important patient safety activity. Most of these activities are simple checks to review the accuracy of the data without requiring additional review of the patient record or linkage to other datasets. Results: Based on consensus by surveillance experts across jurisdictions, comprehensive recommendations for data quality in IPAC surveillance programs were developed to improve completeness (22%), accuracy (68%), and timeliness (10%) of the data. Conclusion: The data quality activities list may be used in Canadian IPAC surveillance activities to support or improve existing surveillance data quality activities for IPAC programs.

Indexed as

accuracycompletenessdata cleaningdata qualityIPAC surveillancerecommendationstimeliness

Identifiers

PMID41393796
PMCPMC12699955

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LicenceCC BY
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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.