Evidence map›Paper›PMID 38560990›Full record

ArticleApplied clinical informatics2024

Machine Alarm Fatigue among Hemodialysis Nurses in 29 Tertiary Hospitals.

Chaonan Sun, Meirong Bao, Congshan Pu, Xin Kang, Yiping Zhang, Xiaomei Kong, Rongzhi Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Chaonan SunSchool of Nursing, Dalian Medical University, Dalian, Liaoning, China.
Meirong BaoDepartment of Otolaryngology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Congshan PuSchool of Nursing, Dalian Medical University, Dalian, Liaoning, China.
Xin KangSchool of Nursing, Dalian Medical University, Dalian, Liaoning, China.
Yiping ZhangSchool of Nursing, Dalian Medical University, Dalian, Liaoning, China.
Xiaomei KongDepartment of Traditional Chinese Medicine, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Rongzhi ZhangDepartment of Center for Hemodialysis, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo understand the status quo and related influencing factors of machine alarm fatigue of hemodialysis nurses in tertiary hospitals in Liaoning Province.

methodsThis cross-sectional study employed convenience sampling to select 460 nurses from 29 tertiary hospitals in Liaoning Province, who are involved in hemodialysis care. Surveys were conducted using the General Information Questionnaire, Alarm Fatigue Scale, National Aeronautics and Space Administration Task Load Index, and Maslach Burnout Inventory Scale.

resultsThe overall machine alarm fatigue score for 460 hemodialysis nurses from 29 tertiary hospitals in Liaoning Province was 17.04 ± 3.21, indicating a moderate level. The multiple linear regression analysis shows that years of experience in hemodialysis nursing, the number of patients managed per shift, whether specialized nursing training has been received, self-reported health status, emotional exhaustion, and workload have statistically significant associations with alarm fatigue among hemodialysis nurses (

conclusionThis study indicates that certain demographic factors, workload, and occupational burnout are associated with machine alarm fatigue among hemodialysis nurses. Therefore, hemodialysis-related managers should establish a Machine Alarm Management System, implement Personalized Thresholds and Delayed Alarms, ensure reasonable staffing arrangements, improve compassion fatigue, and enhance anticipatory care. Our findings have implications for improving the health and well-being of hemodialysis nurses, providing a conducive environment for professional training in hemodialysis, and ultimately addressing the current situation of machine alarm fatigue among hemodialysis nurses.

Indexed as

Clinical AlarmsNursesRenal DialysisTertiary Care CentersAdultBurnout, ProfessionalCross-Sectional StudiesFemaleHumansMaleMiddle AgedWorkload

Identifiers

PMID38560990
PMCPMC11236447
OpenAlexW4393376625

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.