Evidence map›Paper›PMID 39574102›Full record

ArticleBMC nursing2024

Using signal detection test to assess the correlation between daily sleep duration, mental workload, and attention sensitivity in nurses.

Mohammad Hassan Kazemi-Galougahi, Ehsan Feizabadi

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

3 citing papers in PubMed.

  1. Article
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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.

Mohammad Hassan Kazemi-GalougahiDepartment of Social Medicine, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran. mh.kazemi@ajaums.ac.ir.ORCID http://orcid.org/0000-0003-4601-6457
Ehsan FeizabadiFaculty of Medicine, AJA University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreased attention among healthcare workers, particularly nurses, is crucial for preventing medical errors and patient harm. This study uses an objective approach that overcomes the limitations of the subjective self-report measures employed in prior research on nurses' attention.

methodsThis cross-sectional study was conducted from January to March 2023 among 108 nurses at Besat Hospital in Tehran, Iran. The data collected included demographic information, the NASA Task Load Index (NASA-TLX) for mental workload assessment, and the CogLab signal detection test for attention sensitivity measurement.

resultsThe participants exhibited a median mental workload of 68.5 (IQR = 14.9) and a median attention sensitivity of 52.5 (IQR = 39.2). Daily sleep duration was positively correlated with attention sensitivity (r = 0.644, p < 0.001), whereas mental workload was negatively correlated with attention sensitivity (r = -0.655, p < 0.001). Men demonstrated greater attention sensitivity (p = 0.040), and women reported greater mental workload (p = 0.043).

conclusionReducing daily sleep duration and increasing mental workload can diminish nurses' attention sensitivity. Prioritizing adequate sleep and implementing strategies to reduce mental workload are crucial for enhancing nurse performance and patient safety.

Indexed as

AttentionMedical errorsMental disordersNursesSignal detection testSleepWorkload

Identifiers

PMID39574102
PMCPMC11580352

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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.