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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Improving neonatal transport knowledge of neonatal intensive care unit nurses and physicians using a safe transport
Yeliz Elif Gündüz1, Beste Özgüven Öztornaci2
1İstanbul Atlas University, Faculty of Health Sciences, Department of Nursing, İstanbul, Türkiye.
Background:
Safe neonatal transport is essential for reducing morbidity and mortality among newborns requiring advanced care. The knowledge and preparedness of healthcare professionals are critical to maintaining physiological stability during transport. This study aimed to evaluate the effect of a structured training program incorporating a safe transport algorithm and the Physiological Stability Transport Risk Index (TRIPS) on neonatal transport knowledge among neonatal intensive care unit (NICU) nurses and physicians.
Methods:
This quasi-experimental single-group pretest-posttest study was conducted with 100 healthcare professionals working in the NICU of a children's hospital in Turkey. Data were collected before and two months after the intervention using a Newborn Transport Knowledge Assessment Form. The intervention consisted of verbal training and clinical implementation of a safe transport algorithm and TRIPS. Data were analyzed using descriptive statistics, the Shapiro-Wilk test, Wilcoxon signed-rank test, Mann-Whitney U test, Kruskal-Wallis test, and Spearman correlation analysis.
Results:
Although 78% of participants had not previously received formal neonatal transport training, 97% had participated in at least one neonatal transport. The mean knowledge score increased significantly from 20.86±4.30 before training to 28.48±2.83 after training (p<0.001), demonstrating a substantial improvement following the intervention.
Conclusion:
Structured training based on a safe transport algorithm and TRIPS significantly improved neonatal transport knowledge among NICU nurses and physicians.
Implications For Practice:
Integrating standardized transport algorithms and physiological risk assessment tools into regular training programs may enhance clinical decision-making, promote standardized practices, and improve the safety and quality of neonatal transport and nursing care.
