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Öğe Awareness status and influencing characteristics of neonatal nurses regarding the use of near-infrared spectroscopy(Elsevier Ltd, 2025) Özgörü, Hande; Yıldız, Suzan; Temizsoy, EbruObjective: To determine the awareness of neonatal nurses about near-infrared spectrometers (NIRS) used in preterm and term newborns and the demographic characteristics affecting their use. Method: This descriptive study was conducted with 210 neonatal nurses registered with the Neonatology Nursing Association between May and July 2024. Results: The average score was found to be 17.03 ± 7.79, which the nurses could obtain from the NIRS information form. This score shows that nurses have a moderate level of knowledge and awareness. It was found that there was a statistically significant difference in the level of knowledge and awareness of neonatal nurses about NIRS according to age (p = 0.049), education level (p < 0.001), years of working in the NICU (p = 0.007), having a neonatal nursing certificate (p = 0.006) and previous use of a NIRS spectrometer (p < 0.001). Conclusion: In this study, it was observed that the knowledge and awareness level of neonatal nurses about NIRS was at a moderate level. © 2025 Neonatal Nurses AssociationÖğe Paediatric nurses' perspectives on artificial intelligence applications: A cross-sectional study of concerns, literacy levels and attitudes(Wiley, 2025) Subasi, Damla Ozcevik; Sumengen, Aylin Akca; Semerci, Remziye; Simsek, Enes; Cakir, Gokce Naz; Temizsoy, EbruAims: This study aimed to explore the correlation between artificial intelligence (AI) literacy, AI anxiety and AI attitudes among paediatric nurses, as well as identify the influencing factors on paediatric nurses' AI attitudes. Design: A descriptive, correlational and cross-sectional research. Methods: This study was conducted between January and February 2024 with 170 nurses actively working in paediatric clinics in Turkey. The data collection tools included the Nurse Information Form, the General Attitudes Towards Artificial Intelligence Scale (GAAIS), the Artificial Intelligence Literacy Scale (AILS) and the Artificial Intelligence Anxiety Scale (AIAS). To determine the associations between the variables, the data was analysed using IBM SPSS 28, which included linear regression and Pearson correlation analysis. Results: The study indicated significant positive correlations between paediatric nurses' age and their AIAS scores (r =.226; p <.01) and significant negative correlations between paediatric nurses' age and their AILS (r = -.192; p <.05) and GAAIS scores (r = -.152; p <.05). The GAAIS was significantly predictive (p <.000) and accounted for 50% of the variation in AIAS and AILS scores. Conclusion: Paediatric nurses' attitudes towards AI significantly predicted AI literacy and AI anxiety. The relationship between the age of the paediatric nurses and the anxiety, AI literacy and attitudes towards AI was demonstrated. Healthcare and educational institutions should create customized training programs and awareness-raising activities for older nurses, as there are noticeable variations in the attitudes of paediatric nurses towards AI based on their age. Implications for Profession and/or Patient Care: Providing in-service AI training can help healthcare organizations improve paediatric nurses' attitudes towards AI, increase their AI literacy and reduce their anxiety. This training has the potential to impact their attitudes positively and reduce their anxiety. Reporting Method: The study results were critically reported using STROBE criteria. Patient or Public Contribution: No patient or public contribution.Öğe The Effect of a Chronobiological Feeding Model on Growth Parameters and Length of Hospitalization in Preterm Infants: A Randomized Controlled Study(Mary Ann Liebert, Inc, 2025) Temizsoy, Ebru; Uysal, Guelzade; Karadag, NilguenBackground and Purpose: Preterm infants are born before the 37th gestational week and need prompt nutrition. The circadian rhythm is an internal 24-hour cycle regulated by endogenous molecules. Human milk contains different biological peptides at different times within this cycle. Chrononutrition is a feeding model that is adjusted to match the biological clock of the individual. This study tests chrononutrition as a superior feeding model in preterm infants. This study aimed to evaluate the effect of the chronobiological feeding model on growth parameters and discharge time among preterm infants. Methods: We conducted a prospective, randomized controlled trial in a tertiary neonatal intensive care unit between October 2021 and March 2022, randomized preterm infants to receive either chrononutrition (study group = 45) or standard feeding (control group = 46), and used the infant's follow-up form for data collection. Results: Among 91 neonates, the median gestational age was 33 weeks, and the mean birth weight was 2,100 g. Demographic findings and growth parameters showed no difference between the groups (p > 0.05). Weight gain and percentile measurements at discharge were statistically significantly higher in the study group (p = 0.002 and p = 0.003, respectively). Discharge time was statistically significantly lower after full enteral feeding and hospitalization time was shorter in the study group (p = 0.001). Conclusions: The chronobiological feeding model showcased significant positive effects on anthropometrics and percentile measurements at discharge and led to a 2-day reduction in the length of hospital stay.Öğe Turkish neonatal nurses' knowledge regarding the enteral feeding in preterm infants: a descriptive, cross-sectional study(Bmc, 2025) Gozen, Duygu; Girgin, Burcu Aykanat; Carikci, Fatma; Temizsoy, EbruBackground Neonatal nurses play a key role in the safe and effective enteral feeding of preterm infants, but their knowledge and practices in this specific area remain largely unexamined. This study sought to evaluate neonatal nurses' knowledge levels and practices concerning enteral feeding in preterm infants. Methods A total of 300 neonatal intensive care nurses working in 8 hospitals in Istanbul, T & uuml;rkiye were included in this descriptive cross-sectional study. Data were collected using a sociodemographic information and enteral feeding practices form and an enteral feeding knowledge questionnaire. The 40-item enteral feeding knowledge questionnaire yields a total score ranging from 0 to 100, with higher scores indicating a higher knowledge level. Based on a 6-expert panel review, the content validity index (CVI) of the questionnaire was 0.94. Results The mean knowledge score was 67.12 out of 100 (SD, 8.83; range, 45-85). Older age (P = .001), longer NICU experience (P = .003), higher education level (P = .043), and having NICU nursing certification (P = .001) were associated with significantly higher knowledge levels. Correct response rates were particularly low for items about the selection of appropriate catheter size in preterm infants with extremely low birth weight, infant positioning during catheter insertion and feeding, the necessity of verifying catheter placement before each feeding, the method used to confirm correct catheter placement, feeding flow rate, assessment of gastric residuals, and maintenance of asepsis. None of the participating nurses' NICUs used a standard protocol for enteral feeding in preterm infants. Conclusion The research findings point to the necessity of supporting nurses with evidence-based information on enteral feeding practices, ensuring the standardization of clinical practices, and managing enteral feeding in accordance with current guidelines.
