Evidence map›Paper›PMID 34476317›Full record

ArticlePediatric quality & safety

Effect of Time of Daily Data Collection on the Calculation of Catheter-associated Urinary Tract Infection Rates.

Lane F Donnelly, Matthew Wood, Ling Loh, Natasa Tekic, Andrew Y Shin, David Scheinker

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Article in Pediatric quality & safety. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Lane F DonnellyLucile Packard Children's Hospital-Stanford, Stanford Children's Health, Palo Alto, CA.
Matthew WoodLucile Packard Children's Hospital-Stanford, Stanford Children's Health, Palo Alto, CA.
Ling LohLucile Packard Children's Hospital-Stanford, Stanford Children's Health, Palo Alto, CA.
Natasa TekicLucile Packard Children's Hospital-Stanford, Stanford Children's Health, Palo Alto, CA.
Andrew Y ShinLucile Packard Children's Hospital-Stanford, Stanford Children's Health, Palo Alto, CA.
David ScheinkerLucile Packard Children's Hospital-Stanford, Stanford Children's Health, Palo Alto, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccording to the

methodsDuring a 20-month period, the number of urinary catheter days was calculated using once-a-day electronic measurements to identify a urinary catheter presence. We used data collected at 11 am and collected at midnight (our historic default) in comparing the calculated urinary catheter days and resultant CAUTI rates.

resultsThere were 7,548 patients who had a urinary tract catheter. The number of urinary catheter days captured using the 11 am collection time was 15,425, and using the midnight collection time was 10,234, resulting in a 50.7% increase. The CAUTI rate per 1,000 urinary catheter days calculated using the 11 am collection method was 0.58, and using the midnight collection method was 0.88, a reduced CAUTI rate of 33.6%.

conclusionThe data collection time can significantly impact the calculation of urinary catheter days and on calculated CAUTI rates. Variations in how healthcare systems define their denominator per current

Identifiers

PMID34476317
PMCPMC8389923

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