Evidence map›Paper›PMID 39707299›Full record

ArticleBMC nursing2024

Undergraduate student nurses' experience of using standardized patient simulation in mental health course: A qualitative study.

Mirna Fawaz, Salman M Alreshidi, Imad Thultheen, Ali Samaha, Esin Kavuran

Abstract read
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Mirna FawazCollege of Health Sciences, American University of the Middle East, Egaila, Kuwait.
Salman M AlreshidiCommunity and Psychiatric Mental Health Nursing Department, College of Nursing, King Saud University, Riyadh City, 12371, Saudi Arabia.
Imad ThultheenNursing Department, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Ali SamahaDepartment of Nursing Sciences Lebanese University Faculty of Public Health IV. Department of Biomedical Sciences, Lebanese International University, Beirut. Department of Psychology, Faculty of Letters and Human Sciences IV, Lebanese University, Lebanese University, Lebanese International University, Beirut, Lebanon. ali.samaha@liu.edu.lb.
Esin KavuranFaculty of Nursing, Nursing Department, Ataturk University, Erzurum, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this research was to explore the perceptions of Lebanese student nurses on use of standardized patient simulations in the undergraduate mental health course.

designA qualitative descriptive research design informed by descriptive phenomenology was employed.

methodSemi-structed interviews were carried out among 19 student nurses at one major private university in Beirut. Inductive thematic analysis was conducted over the period of 2 months.

resultsThe inductive thematic analysis generated five themes, namely, "Practicing therapeutic communication and mental state examination", "Readiness for clinical placement", "Realistic and safe environment to practice", "Obtaining real-time feedback", and "Enhancing confidence and reducing anxiety".

conclusionThe findings of this study emphasizes the significance of incorporating standardized patient simulations in mental health courses to enhance student learning outcomes. Standardized patient simulations can provide nursing students with a supportive learning environment that reduces their challenges in transitioning to practice by equipping them with both needed technical and soft skills.

Indexed as

Mental healthNursing educationSimulationStandardized patients

Identifiers

PMID39707299
PMCPMC11660703

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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.