Evidence map›Paper›PMID 39728645›Full record

ReviewNursing reports (Pavia, Italy)2024

The Use of Technology in the Prevention of Infections Associated with Urinary Catheterization.

Bruna Raquel Fonseca, Maura Filipa Silva, Rogério Ferrinho Ferreira, Sofia Cabecinhas de Sá, Teresa Dionísio Mestre, Marta Sofia Catarino

Abstract readReview
In one paragraph

Review in Nursing reports (Pavia, Italy), 2024. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Bruna Raquel FonsecaSchool of Health Sciences, Polytechnic Institute of Beja, 7800-111 Beja, Portugal.ORCID 0009-0000-2383-5869
Maura Filipa SilvaBarreiro-Montijo Hospital Center, Public Business Entity, 2830-092 Barreiro, Portugal.
Rogério Ferrinho FerreiraSchool of Health Sciences, Polytechnic Institute of Beja, 7800-111 Beja, Portugal.ORCID 0000-0001-5180-2036
Sofia Cabecinhas de SáSchool of Health Sciences, Polytechnic Institute of Beja, 7800-111 Beja, Portugal.ORCID 0000-0002-0862-0904
Teresa Dionísio MestreSchool of Health Sciences, Polytechnic Institute of Beja, 7800-111 Beja, Portugal.ORCID 0000-0003-3175-5708
Marta Sofia CatarinoSchool of Health Sciences, Polytechnic Institute of Beja, 7800-111 Beja, Portugal.ORCID 0000-0003-3047-6408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Urinary tract infections (UTIs) are caused by the proliferation of pathogenic microorganisms, and they are the second most common hospital-acquired infections, with catheter-associated UTIs (CAUTIs) accounting for about 40% of these nosocomial infections. This review aims to identify the impact of technology on preventing infections in patients with urinary catheters; (2) Methods: The search was conducted in April 2024 through the EBSCOhost platform, with access to the American Search Complete, CINHAL Ultimate, Medline databases, and through the Scopus database; (3) Results: In total were included eight articles in this review. Technology interventions can significantly reduce the incidence of CAUTIs, decrease the duration of catheter use, improve diagnosis, and enhance patient safety; (4) Conclusions: Technological advancements show significant benefits in reducing infection rates and improving patient outcomes, like shorter hospital stays and comfort. Multidisciplinary approaches and educational strategies are essential to maximize these benefits.

Indexed as

catheter-associated urinary tract infectionscatheter indwellingelectronic devicesnursingtechnology

Identifiers

PMID39728645
PMCPMC11677464

What OpenQuestion holds

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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.