Evidence map›Paper›PMID 41702829›Full record

ArticleNursing & health sciences2026

Patterns of Alarm Fatigue and Their Predictors Among Nurses in Intensive Care Units: A Latent Profile Analysis.

Fu Yang, Rui Tai, Qian Yu, Qian Qi, Qiuli Wang, Ying Pu, Fang Fang

Abstract read
In one paragraph

Article in Nursing & health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Fu YangDepartment of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-6286-8452
Rui TaiDepartment of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qian YuDepartment of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0009-1580-8452
Qian QiDepartment of Nursing, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qiuli WangDepartment of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-7099-830X
Ying PuDepartment of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fang FangDepartment of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

Characteristic research project of Shanghai General Hospital CCTR-2022N03Nursing development program of School of Medicine, Shanghai Jiao Tong University SJHUHLXK2021Scientific research fund of Shanghai Municipal Health Commission of China 202140047;202340260
6 · The paper itself

Abstract

The clinical alarms from various medical instrument and equipment are becoming a new challenge for staff in intensive care unit workplace. This study revealed the latent profiles of alarm fatigue among intensive care unit (ICU) nurses and to explore their predictors. A cross-sectional survey was conducted from 2023 to 2024 using the nurses' alarm fatigue questionnaire (NAFQ) to measure the alarm fatigue of 725 ICU nurses in China. The overall alarm fatigue of nurses in ICUs is at a medium-high level. Three classes of alarm fatigue were identified by latent profile analysis and influenced by multiple factors (i.e., whether working overtime, whether having alarm management protocol in the wards, clinical false alarm experience, and alarm function cognition). This study suggests that administrators provide tailored supports and interventions to reduce alarm fatigue of nurses in ICUs based on the characteristics of their alarm fatigue profiles.

Indexed as

Clinical AlarmsFatigueNursesAdultChinaCross-Sectional StudiesFemaleHumansIntensive Care UnitsMaleSurveys and Questionnairesalarm fatiguecross‐sectional studyintensive care nurseslatent profile analysis

Identifiers

PMID41702829
PMCPMC12912951

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.