Evidence map›Paper›PMID 35872086›Full record

ArticleAustralasian emergency care2023

Factors influencing emergency nurses' infection control practices related to coronavirus disease 2019 in Korea.

Sang Ok Kim, Kon Hee Kim

Abstract read
In one paragraph

Article in Australasian emergency care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. 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

2 authors.

Sang Ok KimDepartment of Nursing, Seoul Metropolitan Government-Seoul National University Boramae Medical Centre, 20, Boramae-ro 5-gil, Dongjak-gu, Seoul, South Korea. Electronic address: igod486s@naver.com.
Kon Hee KimCollege of Nursing, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, 03760 Seoul, South Korea. Electronic address: konhee@ewha.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhen an infectious disease breaks out, emergency nurses are the front-line specialists. Infection control by emergency nurses is important to minimize the risk of infectious disease and to improve the infection control practices of emergency nurses. Therefore, it is crucial to identify the factors influencing infection control practice related to COVID-19.

methodsFor this cross-sectional study design used survey methods for data collection, a questionnaire survey was conducted with 161 emergency nurses working in five hospitals selected through convenience sampling. Data were collected from November 10 to November 26 in 2020.

resultsInfection control practice related to COVID-19 was affected by the infection prevention environment (β = 0.24, p = .002), monitoring of wearing Personal Protective Equipment (β = 0.19, p = .006), knowledge about COVID-19 (β = 0.18, p = .009), perceived severity related to COVID-19 (β = 0.18, p = .010), and perceived barrier related to COVID-19 (β = -0.15, p = .033).

conclusionCreating safe infection prevention measures and revitalizing personal protective equipment monitoring are necessary to improve infection control practices. A systematic infection control education program is needed to improve knowledge about COVID-19, emphasize its perceived severity, and identify and eliminate perceived barriers.

Indexed as

COVID-19NursesCross-Sectional StudiesHumansInfection ControlRepublic of KoreaCOVID-19Emergency nursingHealth belief modelKnowledgePersonal protective equipment

Identifiers

PMID35872086
PMCPMC9271496

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.