Evidence map›Paper›PMID 39099292›Full record

ArticleCurationis2024

Student nurses' utilisation of self-directed simulation learning at a University in Gauteng.

Lebogang B Phehla, Agnes Makhene, Lerato Matshaka

Abstract read
In one paragraph

Article in Curationis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Lebogang B PhehlaDepartment of Nursing, Faculty Health Sciences, University of Johannesburg, Johannesburg. lebogang.phehla@wits.ac.za.
Agnes Makhene
Lerato Matshaka

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-directed simulation learning (SSL) is a globally accepted teaching and learning strategy wherein student nurses take the initiative in diagnosing their learning needs, formulate learning goals, identify resources for learning, and implement relevant strategies in response to their learning needs. This autonomous learning strategy will assist student nurses in taking ownership of their learning. Consequently, student nurses exit the training programme to become lifelong learners, safe and competent professional nurses.

objectivesThis study aimed to explore and describe the experiences of student nurses' utilisation of SSL at a University in Gauteng and to make recommendation(s) to enhance the use of SSL.

methodA qualitative, exploratory, descriptive, and contextual research design was used to uncover the student nurses' experiences with the use of SSL at a University. Nineteen participants were purposively sampled. Data collection was conducted through focus group interviews. Tesch's method of data analysis was used to analyse, organise and interpret data.

resultsTheme: student nurses experience time constraints, which hinder their utilisation of SSL. Subthemes: (1) a compacted academic timetable, and (2) limited access to the clinical simulation laboratory for self-directed learning.

conclusionTime constraints hinder the utilisation of SSL, and this challenge threatens the acquisition of clinical skills and knowledge during the training of student nurses.Contribution: Evidence-based recommendations to enhance the utilisation of SSL at a University.

Indexed as

Education, Nursing, BaccalaureateFocus GroupsQualitative ResearchSimulation TrainingStudents, NursingAdultFemaleHumansMaleSelf-Directed Learning as TopicSouth AfricaUniversitiesclinical simulation laboratoryself-directed simulation learningstudent nursestime constraintsuniversity.

Identifiers

PMID39099292
PMCPMC11304216

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.