Evidence map›Paper›PMID 40707935›Full record

ArticleBMC nursing2025

Investigation of the factors affecting delirium evaluation by intensive care nurses: a cross-sectional descriptive study.

Zeynep Öztürk, Merve Kaya, Meyreme Aksoy, Zeynep Karaman Özlü

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Zeynep ÖztürkDepartment of Psychiatric Nursing, Faculty of Health Sciences, Erzurum Technical University, Erzurum, Türkiye. zeynepolcun6@gmail.com.
Merve KayaDepartment of Surgery Nursing, Faculty of Nursing, Atatürk University, Erzurum, Türkiye.
Meyreme AksoyDepartment of Nursing Fundamentals, Faculty of Health Sciences, Siirt University, Siirt, Türkiye.
Zeynep Karaman ÖzlüDepartment of Surgery Nursing, Faculty of Nursing, Atatürk University, Erzurum, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that as nurses' knowledge and awareness regarding delirium increase, their ability to evaluate and manage delirium improves significantly. Identifying the key factors that influence how nurses evaluate delirium is essential for enhancing early detection and proper management. The aim of this study was to examine the factors influencing the evaluation of delirium by intensive care nurses.

methodsThis cross-sectional descriptive study was conducted in a university hospital with 13 adult ICUs. The sample consisted of 110 ICU nurses selected using Cochran's formula, based on a known population, 95% confidence level, and 5% margin of error. Data were collected between March 15 and 27, 2022, using three instruments: Personal Information Form, Delirium Attitude Questionnaire, and Delirium Knowledge Test for Intensive Care Nurses (DKT-ICN).

resultsThe mean level of knowledge of nurses on delirium assessment was found to be 13.92 ± 4.09 according to the DKT-ICN scale. According to the logistic regression analysis, the significant variables affecting the delirium assessment in the intensive care unit were the duration of intensive care experience (B = 0.404, p =.004; OR = 1.498), DKT-ICN score (B = 0.283, p =.004; OR = 1.327), female gender (B = -1.260, p =.041; OR = 0.284) and working in the medical intensive care unit (B = 2.477, p <.001; OR = 11.908). The model explained 49.1% of the variance in delirium assessment.

conclusionsThis study indicate that nurses' knowledge levels, unit of employment, gender, and duration of intensive care experience are significant determinants of delirium assessment practices. It is recommended that targeted training programs be developed to improve nurses' delirium assessment skills, that comprehensive surveys be used in future research, and that organizational and attitudinal factors be investigated using mixed methods designs. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

DeliriumEvaluationIntensive careKnowledgeNursing

Identifiers

PMID40707935
PMCPMC12288283

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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.