Perceived Benefits of Pre-Clinical Simulation-based Training on Clinical Learning Outcomes among Omani Undergraduate Nursing Students
Bibliographic record
Abstract
OBJECTIVES: This study aimed to explore the benefits perceived by Omani undergraduate maternity nursing students regarding the effect of pre-clinical simulation-based training (PSBT) on clinical learning outcomes. METHODS: This non-experimental quantitative survey was conducted between August and December 2012 among third-year baccalaureate nursing students at Sultan Qaboos University in Muscat, Oman. Voluntary participants were exposed to faculty-guided PSBT sessions using low- and medium-fidelity manikins, standardised scenarios and skill checklists on antenatal, intranatal, postnatal and newborn care and assessment. Participants answered a purposely designed self-administered questionnaire on the benefits of PSBT in enhancing learning outcomes. Items were categorised into six subscales: knowledge, skills, patient safety, academic safety, confidence and satisfaction. Scores were rated on a four-point Likert scale. RESULTS: Of the 57 participants, the majority (95.2%) agreed that PSBT enhanced their knowledge. Most students (94.3%) felt that their patient safety practices improved and 86.5% rated PSBT as beneficial for enhancing skill competencies. All male students and 97% of the female students agreed that PSBT enhanced their confidence in the safe holding of newborns. Moreover, 93% of participants were satisfied with PSBT. CONCLUSION: Omani undergraduate nursing students perceived that PSBT enhanced their knowledge, skills, patient safety practices and confidence levels in providing maternity care. These findings support the use of simulation training as a strategy to facilitate clinical learning outcomes in future nursing courses in Oman, although further research is needed to explore the objective impact of PSBT on learning outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".