Evidence map›Paper›PMID 39071530›Full record

ArticleActa medica Philippina2024

Undergraduate Student Nurses' Satisfaction, Self-confidence, and Perception of High-fidelity Simulation-based Learning on Critically-ill Patients.

Aldin D Gaspar, Aprille C Banayat

Abstract read
In one paragraph

Article in Acta medica Philippina, 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. Observational
  2. Article
  3. 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

2 authors.

Aldin D GasparCollege of Nursing, University of the Philippines Manila.
Aprille C BanayatCollege of Nursing, University of the Philippines Manila.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Replicating critical care practice settings in high-fidelity simulation (HFS) provides more learning opportunities to develop competencies, improve self-confidence, and learner satisfaction in a safe environment. Simulation is increasingly adopted globally as an alternative teaching strategy. Yet, data on the HFS experience of Filipino undergraduate nursing students is limited. This study describes the satisfaction, self-confidence, and perception of undergraduate nursing students on the use of HFS-based learning on critically-ill adult and pediatric patients requiring advanced life support (ALS). Methods: A quantitative, descriptive, correlational study was conducted using purposive sampling on all fourth-year BS Nursing students enrolled in Critical Care Nursing course in a state university. Data were collected through an online survey on demographic data, and the students' perceptions towards high-fidelity simulation-based learning (SBL) using three tools, namely: Simulation Design Scale, Educational Practices Questionnaire, and Student Satisfaction and Self-confidence in Learning. T-test and ANOVA were used to compare the means of the variables. Bivariate analysis (Pearson's product-moment correlation) was performed to find the relationship between variables. Results: A total of 86 students participated in the survey. Overall, the students were highly satisfied with the simulation experience (4.46 out of 5.0, Conclusion: Effective use of technology through HFS-based learning is useful in increasing satisfaction and self-confidence of Filipino undergraduate nursing students in caring for critically-ill patients needing ALS. Educators must highly consider all parameters of simulation design and educational practices in planning and implementing HFS-based learning to achieve meaningful learner experience.

Indexed as

critical care nursingeducationhigh-fidelitysimulation

Identifiers

PMID39071530
PMCPMC11272900

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.