Evidence map›Paper›PMID 37059992›Full record

ArticleBMC nursing2023

Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis.

Tianji Zhou, Yizhen Yin, Hanyi Zhang, Jie Zhang, Xiaorong Xu, Jingping Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
10.9field-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.

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 25 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

6 authors at 4 institutions in 1 country.

Tianji ZhouXiangya School of Nursing, Central South University, 172 Tongzipo Road, Changsha, Hunan, 410013, China.
Yizhen YinXiangya School of Nursing, Central South University, 172 Tongzipo Road, Changsha, Hunan, 410013, China.
Hanyi ZhangXiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, China.
Jie ZhangSchool of Nursing, Hunan University of Chinese Medicine, 300 Xueshi Road, Changsha, Hunan, 410208, China.
Xiaorong XuNursing Department, Hunan Aerospace Hospital, 189 Fenglin Road, Changsha, Hunan, 410205, China. 19376690772@163.com.
Jingping ZhangXiangya School of Nursing, Central South University, 172 Tongzipo Road, Changsha, Hunan, 410013, China. jpzhang1965@csu.edu.cn.
Central South University · CNHunan University of Traditional Chinese Medicine · CNHunan Provincial People's Hospital · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPromoting self-directed learning (SDL) among nursing undergraduates is crucial to meet the new requirements of the healthcare system and to adapt to online learning contexts during the COVID-19 pandemic. Therefore, identifying the classification features of SDL ability and developing targeted interventions are both critical. Professional identity (PI) may contribute to the cultivation of SDL ability, but their relationship remains relatively unknown. This study aimed to explore the subgroups of SDL ability and their differences in PI among nursing undergraduates during the COVID-19 pandemic.

methodsA total of 2438 nursing undergraduates at four universities in China were enrolled in this cross-sectional study from November 2021 to February 2022. The Self-Directed Learning Scale of Nursing Undergraduates (SLSNU) and the Professional Identity Scale for Nursing Students (PISNS) were administered. A latent profile analysis was performed to explore SDL ability latent profiles. Multinomial logistic regression analysis was conducted to examine the predictors of profile membership, and a one-way analysis of variance was applied to compare the PI scores in each latent profile.

resultsThree latent profiles were identified and labeled 'low SDL ability' (n = 749, 30.7%), 'low initiative of help-seeking' (n = 1325, 54.4%) and 'high SDL ability' (n = 364, 14.9%). Multinomial logistic regression analysis suggested that nursing undergraduates who voluntarily chose a nursing major, had served as a student cadre, and had participated in clinical practicum were less likely to be included in the "low SDL ability" group. The average PI score was statistically different across the three profiles (F = 884.40, p < 0.001).

conclusionThe SDL ability among nursing undergraduates was divided into three profiles, and results show that promoting PI may effectively foster SDL ability. This study highlights the importance of targeted interventions by considering their distinct SDL ability patterns, especially during the COVID-19 pandemic.

Indexed as

COVID-19Latent profile analysisNursing educationNursing undergraduatesProfessional identitySelf-directed learning

Identifiers

PMID37059992
PMCPMC10103029
OpenAlexW4365513228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.