Evidence map›Paper›PMID 36268181›Full record

ArticleRisk management and healthcare policy2022

Influence of Different Protection States on the Mental Fatigue of Nurses During the COVID-19 Pandemic.

Haizhe Jin, Meng Xiao, Zibo Gong, Yinan Zhao

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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

4 authors.

Haizhe JinDepartment of Industrial Engineering, School of Business Administration, Northeastern University, Shenyang, People's Republic of China.ORCID 0000-0003-1092-6598
Meng XiaoSchool of Business Administration, Northeastern University, Shenyang, People's Republic of China.
Zibo GongDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China.
Yinan ZhaoDepartment of Neurology, The First Hospital of China Medical University, Shenyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 has brought greater workload pressures to the medical field, such as medical staff being required to wear personal protective equipment (PPE). While PPE can protect the safety of staff during the pandemic, it can also accelerate the accumulation of fatigue among operators. Objective: This study explores the influence of different protection states on the mental fatigue of nurses. Methods: In this study, 10 participants (5 males and 5 females) were randomly selected among applicants to monitor mental fatigue during the nurses' daily work in four different PPE states (low temperature and low protection; low temperature and high protection; high temperature and low protection; high temperature and high protection). The NASA subjective mental fatigue scale was used for subjective evaluation. Reaction time, attention concentration, attention distribution, memory, and main task completion time were used for objective evaluation. Results: The results demonstrated a significant difference in the effects of different protection states on mental fatigue. The state of high temperature and high protection had the greatest influence on mental fatigue, the state of low temperature and low protection had the least, and states of high (low) temperature and low (high) protection had intermediate effects on mental fatigue. Furthermore, the correlation between the subjective and objective fatigue indices was analyzed using a multiple regression model. Conclusion: This study clarified the influence of different protection states on the mental fatigue of nurses, and verified that nurses require more time and energy to complete the same work as before under high protection states. It provides a basis for evaluating the mental fatigue of nurses in the unique period of the COVID-19 pandemic and specific ideas for optimizing the nursing process.

Indexed as

COVID-19experimental researchmental fatiguenursepersonal protective equipment

Identifiers

PMID36268181
PMCPMC9578785

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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.