Evidence map›Paper›PMID 38822493›Full record

ArticleJournal of clinical nursing2025

The frequency of sepsis-associated delirium in intensive care unit and its effect on nurse workload.

Şerife Alıcı, Ayşegül Öztürk Birge

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Article in Journal of clinical nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Şerife AlıcıDepartment of Nursing, Ankara University, Institute of Health Sciences, Ankara, Turkey.ORCID 0009-0004-5863-4054
Ayşegül Öztürk BirgeDepartment of Internal Medicine Nursing, Ankara University Faculty of Nursing, Ankara, Turkey.ORCID 0000-0003-2918-1274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine the frequency of sepsis-associated delirium (SAD) in the intensive care unit and its effect on nurse workload.

designA cross-sectional and correlational design was used.

methodsThe study was conducted with 158 patients in the adult intensive care unit of a hospital between October 28 and July 28, 2022. Data analysis included frequency, chi-squared/fisher's exact test, independent samples t-test, correlation analysis, simple and multiple linear regression analyses. The study adhered to the STROBE guidelines.

resultsSepsis was detected in 12.7% of the patients, delirium in 39.9%, and SAD in 10.1%. SAD was more common in males (19%) and 56.3% of the patients were admitted to the unit from the emergency department. Patients developing SAD had significantly higher age and mean sequential organ failure evaluation, acute physiology and chronic health evaluation II, and C-reactive protein and lactate scores, but their Glasgow Coma Scale scores were significantly low. There was a moderate positive relationship between the patients' Sequential Organ Failure Assessment score and the presence of SAD. The most common source of infection in patients diagnosed with SAD was bloodstream infection (44.4%). SAD significantly increased nurse workload and average care time (1.8 h) and it explained 22.8% of the total variance in nurse workload. Additionally, the use of antibiotics, vasopressors and invasive mechanical ventilation significantly increased nurse workload.

conclusionIn the study, in patients who developed SAD increased nurse workload and average care time significantly. Preventive nursing approaches and effective management of SAD can reduce the rate of development of SAD and nurse workload. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: It is important to work with routine screening, prevention and patient-nurse ratio appropriate to the workload for SAD.

Indexed as

DeliriumIntensive Care UnitsNursing Staff, HospitalSepsisWorkloadAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle Ageddeliriumintensive care unitnurse workloadsepsissepsis‐associated delirium

Identifiers

PMID38822493
PMCPMC11933519

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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.