Evidence map›Paper›PMID 34017552›Full record

ArticleAmerican journal of translational research2021

Application of a crisis management nursing system in the novel coronavirus pneumonia epidemic.

Yang Yu, Ligang Wu, Hongxia Yan, Jian Luo, Lingling Zhang, Guihong Fan, Liran Cui, Shanshan Chen, Jixue Xu, Chengcheng Zhu and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. 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
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

12 authors at 2 institutions in 1 country.

Yang YuDepartment of Neurology, The First Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Ligang WuDirector of The Hospital, The Second Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Hongxia YanDepartment of Intensive Care Unit, The Second Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Jian LuoDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, Hubei Province, China.
Lingling ZhangDepartment of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, Hubei Province, China.
Guihong FanDepartment of Nursing, The First Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Liran CuiDepartment of Science and Research, The First Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Shanshan ChenDepartment of Ophthalmology and Otorhinolaryngology, The First Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Jixue XuDepartment of Cardiology, The First Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Chengcheng ZhuPharmacy Intravenous Admixture Services, The First Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Dandan BiDepartment of Neurology, The First Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Maolin SunDirector of The Hospital, The Third Affiliated Hospital of Qiqihar Medical University Qiqihar, Heilongjiang Province, China.
Huazhong University of Science and Technology · CNWuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the application of a nursing crisis management system in the novel coronavirus pneumonia epidemic.

methodsA retrospective nursing method was implemented. A total of 280 cases of patients were diagnosed with coronavirus pneumonia in the isolation ward of our hospital. The 280 cases of newly diagnosed pneumonia were divided into two groups: the nursing crisis management system group (n=150, the nursing crisis management was given) and the non-nursing crisis management system (n=130, routine nursing management was given). The psychological status (profile of mood states (POMS) score) of nursing staff before and after the implementation of the nursing crisis management, the psychological status of patients after the implementation of nursing crisis management (POMS score), emotion, cognition, behavior severity, patients' satisfaction with nursing, treatment compliance (Morisky Medication Compliance Scale (MMAS) score) of patients, the rate of cure of patients and the infection rate of nursing staff were compared.

resultsCompared with the non-nursing crisis management system group, the POMS scores of patients and nurses in the nursing crisis management system group decreased (all P<0.05). Compared with the non-nursing crisis management system group, the emotional, cognitive and behavioral scores of patients in the nursing crisis management system group were lower, while the MMAS score, satisfaction with nursing and cure rate were significantly increased (all P<0.05). The 142 nursing staff did not catch coronavirus.

conclusionDuring the novel coronavirus pneumonia outbreak and the current normal epidemic prevention and control periods, our crisis management mode was introduced into nursing work. The construction of the nursing crisis management mode under the epidemic situation can improve the psychological state and improve the management efficiency of the patients and nurses. The patients' satisfaction is high and the treatment compliance is good.

Indexed as

novel coronavirus pneumoniaNursing crisis managementnursing satisfactionpsychological statetreatment compliance

Identifiers

PMID34017552
PMCPMC8129237
OpenAlexW3163878305

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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.