Related Experiment Video
Updated: Jun 30, 2026

Mechanical Ventilation Boot Camp Curriculum
Published on: March 12, 2018
Prevention of Ventilator-Associated Pneumonia in Intensive Care Units: The Effect of Scenario-Based Simulation on
Eylem Topbaş1, Şenay Sarmasoğlu Kılıkçıer2, Zahide Tunçbilek3
1Nursing Department, Department of Internal Medicine Nursing, Faculty of Health Science, Amasya University, Amasya, Turkey.
Background:
Nursing students need to be equipped with effective clinical skills to prevent ventilator-associated pneumonia (VAP) in high-risk patients in intensive care units.
Aim:
The study aimed to determine the effectiveness of scenario-based simulation training in developing knowledge and skills for the prevention of VAP in undergraduate nursing students.
Study Design:
A single-group, pretest-posttest quasi-experimental study was conducted with undergraduate nursing students enrolled in an intensive care course. Scenario-based simulations and a VAP Prevention Performance Checklist were prepared for the study. The students' skill performance was assessed simultaneously by two independent observers before and after the simulation training. Pretest and posttest scores were compared with Wilcoxon, McNemar and McNemar-Bowker tests, and interrater agreement was assessed using intraclass correlation coefficients (ICC).
Results:
In total, 36 students participated in the study. The content validity of the VAP Prevention Performance Checklist was assessed using the Delphi method, which resulted in expert consensus for all items in the second round (the scale-level content validity index was 1.00). There was excellent interrater agreement in the skill performance assessment (ICC = 0.982; p < 0.001). The students' VAP prevention performance scores were significantly higher in the posttest than in the pretest (38.38 ± 7.81 vs. 18.38 ± 5.06, p = 0.002, Cohen's d = 1.25).
Conclusions:
Scenario-based simulation training was shown to be effective in increasing nursing students' awareness and implementation of skills that contribute to the prevention of VAP. Scenario-based simulations can be used as an effective method to improve VAP prevention knowledge and skills during undergraduate nursing education and in-service training.
Relevance To Clinical Practice:
Scenario-based simulations can be used as an effective method to improve VAP prevention knowledge and skills during undergraduate nursing education and in-service training.
Related Concept Videos
Pneumonia V: Nursing management and Prevention
The nurse must practice strict medical asepsis and adhere to infection control guidelines to minimize healthcare-associated infections.
Enhance airway patency
Position the patient correctly to facilitate drainage of the affected lung segments. Manual or mechanical percussion and vibration can also be employed.
Radiological Investigation II: MRI and Ventilation Perfusion Scan
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
Pneumonia I: Introduction
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
Pneumonia I: Introduction
Respiratory Assessment: Purpose and Indications
Objectives and Importance:
The primary goal of respiratory assessment is to evaluate patients at early risk of clinical deterioration. Since respiratory distress often precedes other signs of declining health, breathing patterns and sounds become a...
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...

