Evidence map›Paper›PMID 38054684›Full record

ArticleActa bio-medica : Atenei Parmensis2023

Nursing students' evaluation of clinical learning environment and supervision models before and during the COVID-19 pandemic: a comparative study.

Paola Ferri, Serena Stifani, Elena Morotti, Sara Alberti, Valeria Vannini, Rosaria Di Lorenzo, Sergio Rovesti, Alvisa Palese

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Article in Acta bio-medica : Atenei Parmensis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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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

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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.

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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.

Paola FerriUniversity of Modena and Reggio Emilia. paola.ferri@unimore.it.
Serena StifaniLocal Health Authority of Lecce. serenasti@hotmail.it.
Elena MorottiUniversity of Modena and Reggio Emilia. elena.morotti@unimore.it.
Sara Albertia:1:{s:5:"en_US";s:38:"University of Modena and Reggio Emilia";}. sara.alberti@unimore.it.
Valeria VanniniUniversity of Modena and Reggio Emilia. valeria.vannini@unimore.it.
Rosaria Di LorenzoAUSL of Modena. saradilorenzo1@alice.it.
Sergio RovestiUniversity of Modena and Reggio Emilia. sergio.rovesti@unimore.it.
Alvisa PaleseUniversity of Udine. alvisa.palese@uniud.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe COVID-19 pandemic has required a rapid reorganization of clinical training and supervision models for nursing education. The aim of this study was to compare students' levels of perception of the quality of the Clinical Learning Environment (CLE) using two different clinical supervision models.

methodsA comparative design was implemented. A convenience sample of second and third-year undergraduate nursing students (n=127) in clinical training in the 2018/2019 Academic Year (AY) received the usual nursing staff supervision model, while during the COVID-19 pandemic in the following year, they (n=69) received an individualized supervision model. Data were collected using three instruments: the Clinical Learning Environmental Quality Evaluation Index (CLEQI); the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T); and a socio-demographic tool.

resultsThe mean total scores of both scales had increased in the second survey (CLEQI: M=57.88±11.8 vs. M=60.88±9.3, p=0.035; CLES+T: M=148.4±23.3 vs. M=154.5±21.9, p=0.037). The nursing students reported high levels of CLE quality with both supervision models, even though the individualized supervision model was rated significantly higher by the students than the staff supervision model.

conclusionsStudents supported by a personal supervisor during clinical training had a more positive experience and rated the quality of the tutorial strategies, learning opportunities, safety and nursing care, leadership style of the ward manager and overall CLE more highly.

Indexed as

COVID-19Education, Nursing, BaccalaureateStudents, NursingHumansLearningPandemicsSurveys and Questionnaires

Identifiers

PMID38054684
PMCPMC10734234

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.