Evidence map›Paper›PMID 28989506›Full record

ArticleJournal of infection prevention2017

TWOC around the clock: a multimodal approach to improving catheter care.

Carolyn H Dawson, Melanie Gallo, Kate Prevc

Abstract read
In one paragraph

Article in Journal of infection prevention, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Carolyn H DawsonInfection Prevention and Control Team, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Melanie GalloInfection Prevention and Control Team, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Kate PrevcInfection Prevention and Control Team, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
University Hospitals Coventry and Warwickshire NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infections (UTI) are the second-largest group of healthcare-associated infections (HCAI). The Saving Lives Urinary Catheter Care Bundle was introduced to reduce catheter-associated urinary tract infections (CAUTI). In response, we implemented a catheter care group to examine ways to improve catheter care in an acute hospital NHS Trust.

methodsWe adopted a multimodal approach, revolving around four components: (1) Catheter Care Pathway; (2) HOUDINI checklist; (3) catheter magnets; and (4) use of bladder ultrasound scanners.

resultsThe yearly CAUTI prevalence survey showed an annual reduction in CAUTI from 2012-2013 to 2014-2015 (3.5% to 2.4%). Evaluations of the multimodal approach have highlighted limitations, leading to priorities being established around provision of tools, education, and use of measurement and feedback.

conclusionsOur multimodal approach demonstrates CAUTI rate improvements are achievable, directly benefiting patients. However, long-term maintenance of multimodal components is required to ensure sustained benefit. Engagement and accountability have emerged as significant challenges to the effectiveness and longevity of the catheter care group. We suggest greater emphasis on such challenges if long-term national or international improvement is to be achieved.

Indexed as

accountabilityapathycatheter-associated urinary tract infections (CAUTI)engagementHOUDINIinfection preventionmultimodal

Identifiers

PMID28989506
PMCPMC5360203
OpenAlexW2546649905

What OpenQuestion holds

Textmetadata
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.