Evidence map›Paper›PMID 38279169›Full record

ArticleBMC nursing2024

Patterns of information literacy and their predictors among emergency department nurses: a latent profile analysis based on the person-context interaction theory.

Chao Wu, Chunyan He, Jiaran Yan, Juan Du, Shizhe He, Zhaohua Ji, Yifei Wang, Hongjuan Lang

Open access · goldAbstract read
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Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

6 citing papers in PubMed, 15 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

8 authors at 2 institutions in 1 country.

Chao Wu *Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Shaanxi, Shaanxi, 710032, China.
Chunyan He *Department of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China.
Jiaran Yan *Department of Nursing, The Air Force Hospital of Northern Theater PLA, Shenyang, China.
Juan DuDepartment of Nursing, Fourth Military Medical University, No.169 Changle West Road, Shaanxi, Shaanxi, 710032, China.
Shizhe HeDepartment of Nursing, Fourth Military Medical University, No.169 Changle West Road, Shaanxi, Shaanxi, 710032, China.
Zhaohua JiDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, No.169 Changle West Road, Shaanxi, Shaanxi, 710032, China. hellojzh@msn.com.
Yifei WangDepartment of Military Medical Psychology, Fourth Military Medical University, No.169 Changle West Road, Shaanxi, Shaanxi, 710032, China. 1987389805@qq.com.
Hongjuan LangDepartment of Nursing, Fourth Military Medical University, No.169 Changle West Road, Shaanxi, Shaanxi, 710032, China. Langhj@fmmu.edu.cn.
Air Force Medical University · CNHuazhong University of Science and Technology · CN

Funding

The Key Research and Development Plan of Shaanxi Province: General Projects - social development field Grant 2020SF-280
6 · The paper itself

Abstract

backgroundWith the development of information technology, information has been an important resource in clinical medicine, particularly within the emergency department. Given its role in patient rescue, the emergency department demands a high level of information literacy from nurses to effectively collect, analyze, and apply information due to the urgency and complexity of emergency nursing work. Although prior studies have investigated the information literacy of nursing staff, little has been undertaken in examining the patterns of information literacy and their predictors among emergency department nurses.

aimTo clarify the subtypes of information literacy among nurses in the emergency department and explore the factors affecting profile membership.

methodsA cross-sectional study was conducted among a convenience sample of 2490 nurses in the emergency department from April to June 2023. The clinical nurses completed the online self-report questionnaires including the general demographic questionnaire, information literacy scale, self-efficacy scale and social support scale. Data analyses involved the latent profile analysis, variance analysis, Chi-square tests and multivariate logistic regression.

resultsFour latent profiles were identified: 'Low information literacy (Class 1)', 'Moderate information knowledge (Class 2)', 'High information knowledge and support (Class 3)' and 'High information literacy (Class 4)', accounting for 20.14%, 42.11%, 23.36% and 14.39%, respectively. Each profile displayed unique characteristics representative of different information literacy patterns. Age, years of work, place of residence, hospital grade, title, professional knowledge, using databases, reading medical literature, participating in information literacy training, self-efficacy, and social support significantly predicted information literacy profile membership.

conclusionsInformation literacy exhibits different classification features among emergency department nurses, and over half of the nurses surveyed were at the lower or middle level. Identifying sociodemographic and internal-external predictors of profile membership can aid in developing targeted interventions tailored to the needs of emergency department nurses. Nursing managers should actively pay attention to nurses with low information literacy and provide support to improve their information literacy level. RELEVANCE TO CLINICAL PRACTICE: Insights from the current study of the latent profile analysis are beneficial to hospital managers in understanding the different types of emergency department nurses' information literacy. These insights serve as a reference for managers to enhance nurses' information literacy levels.

Indexed as

Emergency department nursesInformation literacyLatent profile analysis

Identifiers

PMID38279169
PMCPMC10811938
OpenAlexW4391259010

What OpenQuestion holds

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LicenceCC BY
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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.