Evidence map›Paper›PMID 41767352›Full record

ArticleHealth science reports2026

Evidence-Based Practice Attributes Among Specialist Nurses in Acute Care: A Cross-Sectional Study.

Jude Ominyi, Aaron Nwedu, David W Agom, Uchenna Chima

Abstract read
In one paragraph

Article in Health science reports, 2026. 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

4 authors.

Jude OminyiSchool of Health, Sciences & Society University of Suffolk Ipswich UK.ORCID https://orcid.org/0000-0002-5660-4546
Aaron NweduDepartment of Nursing Science David Umahi Federal University of Health Sciences Uburu Enugu State Nigeria.
David W AgomSchool of Nursing & Midwifery University of Bedfordshire Luton UK.
Uchenna ChimaSchool of Nursing and Allied Health Newman University Birmingham UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Evidence-based practice (EBP) is central to high-quality acute care, yet evidence on how specialist nurses engage with EBP remains limited. This study aimed to examine EBP beliefs, organisational culture, and self-reported implementation among specialist nurses working in acute care, and to assess associations with professional characteristics, including specialist certification and academic qualifications. Design: A descriptive cross-sectional study. Methods: Data were collected between June and November 2023. Participants were specialist nurses employed in acute care roles, including critical care, emergency and urgent care, specialist medical and surgical units, and advanced practice positions. Validated instruments were used to measure EBP beliefs, organisational culture, and implementation. Analyses included descriptive statistics, group comparisons, and multivariable regression models. Results: A total of 510 specialist nurses were included. Overall, nurses reported strong beliefs in EBP, moderately positive perceptions of organisational culture, and variable levels of implementation. Specialist certification was consistently associated with higher EBP implementation (standardised Conclusion: Among specialist nurses working in acute care, positive beliefs about EBP are widespread, but implementation varies and is associated with specialist certification and organisational context rather than years of experience or academic attainment. These findings highlight the importance of certification pathways and supportive organisational environments in strengthening EBP in high-acuity settings.

Identifiers

PMID41767352
PMCPMC12946445

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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.