Evidence map›Paper›PMID 32962844›Full record

ArticleJournal of emergency nursing2020

Preparedness of Our Emergency Department During the Coronavirus Disease Outbreak from the Nurses' Perspectives: A Qualitative Research Study.

Yongchao Hou, Qian Zhou, Dongzhi Li, Yanhua Guo, Jingjing Fan, Juzi Wang

Abstract readEvaluation Study
In one paragraph

Article in Journal of emergency nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Nurses' Experiences of their Ethical Responsibilities during Coronavirus Outbreaks: A Scoping Review.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2022
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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

6 authors.

Yongchao Hou
Qian Zhou
Dongzhi Li
Yanhua Guo
Jingjing Fan
Juzi Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study explores the preparedness of our emergency department during the COVID-19 outbreak from the nurses' perspectives, providing a reference and basis for our emergency department's response to public health emergencies.

methodsUsing qualitative research methods, semistructured interviews were conducted with 12 emergency nurses who met the inclusion criteria, and Colaizzi analysis was used for data analysis, summary, and induction.

resultsA cluster of 4 themes that involved preparedness of the emergency department during the COVID-19 outbreak was extracted: organizational preparedness, personal preparedness, patient and family preparedness, and deficiencies and challenges. DISCUSSION: Organizations, individuals, patients, and family members were actively prepared to respond to novel coronavirus pneumonia outbreak in the emergency department. The emergency nurses said that the trusted organization guaranteed personal preparedness, and the active cooperation from patients and families was a motivator for personal preparedness. In addition, our study showed that there were deficiencies in both multidisciplinary collaboration efforts and efforts to rapidly diagnose and treat patients with fever in critical condition.

Indexed as

Attitude of Health PersonnelBetacoronavirusAdolescentAdultChinaCoronavirus InfectionsCOVID-19Disaster PlanningDisease OutbreaksEmergency NursingEmergency Service, HospitalFemaleHumansMalePandemicsPneumonia, ViralCoronavirus diseaseEmergency departmentNursePreparednessQualitative research

Identifiers

PMID32962844
PMCPMC7359786

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.