Evidence map›Paper›PMID 42354599›Full record

ArticleHealthcare (Basel, Switzerland)2026

Exploring Barriers and Facilitators to the Implementation of Nurse-Driven Catheter-Associated Urinary Tract Infection Prevention Protocols in Intensive Care Units in Saudi Arabia: A Qualitative Study.

Nader E Alotaibi, Ahmed S Alsadoun

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. 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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0citing papers 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

The trial behind it

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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

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

2 authors.

Nader E AlotaibiDepartment of Medical Surgical of Nursing, College of Nursing, King Saud University, Riyadh 12372, Saudi Arabia.ORCID 0000-0001-6703-844X
Ahmed S AlsadounDepartment of Medical Surgical of Nursing, College of Nursing, King Saud University, Riyadh 12372, Saudi Arabia.ORCID 0000-0002-6220-1954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCatheter-associated urinary tract infection (CAUTI) remains a major healthcare-associated infection, particularly in intensive care units (ICUs). Nurse-driven urinary catheter removal protocols can reduce catheter duration and improve patient safety; however, their implementation remains inconsistent. This study explored barriers and facilitators influencing the implementation of nurse-driven CAUTI prevention protocols in Saudi ICUs.

methodsA qualitative study guided by the Consolidated Framework for Implementation Research was conducted in two tertiary hospitals in Riyadh, Saudi Arabia. A purposive sample of 23 ICU nurses, infection control nurses, and nurse managers participated in semi-structured interviews. Data were analyzed using Braun and Clarke's thematic analysis approach, supported by NVivo.

resultsTwo overarching themes emerged. Facilitators included interprofessional communication and shared decision-making, clinical experience, and professional commitment. Barriers included workload and staffing pressures, physician dominance and nurse hesitation, knowledge deficits and poor adherence to guidelines, inconsistent documentation, and reduced awareness of catheter presence. Implementation was influenced by interconnected individual, organizational, and cognitive factors.

conclusionsImplementation of nurse-driven CAUTI prevention protocols is shaped by both enabling and limiting factors. Strengthening interprofessional collaboration, supporting nurse autonomy, improving documentation, and providing ongoing education may enhance protocol uptake and sustainability, ultimately improving patient safety.

Indexed as

catheter-associated urinary tract infection (CAUTI)CFIRimplementation barriers and facilitatorsimplementation scienceinfection prevention and controlintensive care unitsnurse-driven protocolspatient safetyqualitative researchSaudi Arabia

Identifiers

PMID42354599
PMCPMC13299888

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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.