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    Anxiety and related factors in parents about coronavirus disease-2019 for children
    (Galenos Yayincilik, 2022) Binay Yaz, Şeyda; Kahraman, Ayse; Gumus, Merve
    Aim: The aim of study was to determine the anxiety and related factors in parents about new Coronavirus disease-2019 (COVID-19). Materials and Methods: The sample of the descriptive study consisted of 494 parents with children aged 0-18. The data were collected during April-May 2020 with tools that were prepared via Google Docs, an online study. The link to the questionnaires was shared via social media. The volunteers were agreed to participate in the survey. Results: In the study, 94.5% of the parents participating are mothers, 69.5% are between the ages of 31-40 and 59.6% have one child. 31.8% of the parents stated that they worked during the COVID-19 pandemic, 90.3% applied social isolation or quarantine. The most frequent feeling that 83.6% of the parents was concern/anxiety, 69.0% used kitchen activities such as cooking and baking cakes as coping mechanisms, 68.4% used games, and painting activities with children. Conclusion: In this study, it was determined that parents' anxiety levels were mild. It is recommended that social and health initiatives be created to prevent and alleviate the psychosocial effects of the pandemic, and to develop programs that will reduce parents' anxiety.
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    How does training given to pediatric nurses about artificial intelligence and robot nurses affect their opinions and attitude levels? A quasi-experimental study
    (Elsevier Science Inc, 2024) Karaarslan, Duygu; Kahraman, Ayse; Ergin, Eda
    Purpose: This study was conducted to investigate the effect of training provided to pediatric nurses on their knowledge and attitude levels about artificial intelligence and robot nurses. Design and methods: In this study, a single -group pre- and post-test quasi -experimental design was used. Data were collected from pediatric nurses working in Training and Research Hospital located in western Turkey. Forty-three pediatric nurses participated in the study. The study data were collected using the Pediatric Nurses' Descriptive Characteristics Form , Artificial Intelligence Knowledge Form , and Artificial Intelligence General Attitude Scale . Results: The mean scores of the participating pediatric nurses obtained from the Artificial Intelligence Knowledge Form before, right after and one month after the training were 41.16 +/- 14.95, 68.25 +/- 13.57 and 69.06 +/- 13.19, respectively. The mean scores they obtained from the Positive Attitudes towards Artificial Intelligence subscale of the Artificial Intelligence General Attitude Scale before and after the training were 3.43 +/- 0.54 and 3.59 +/- 0.60, respectively whereas the mean scores they obtained from its Negative Attitudes towards Artificial Intelligence subscale were 2.68 +/- 0.67 and 2.77 +/- 0.75, respectively. Conclusions: It was determined that the training given to the pediatric nurses about artificial intelligence and robot nurses increased the nurses' knowledge levels and their artificial intelligence attitude scores, but this increase in the artificial intelligence attitude scores was not significant. Practice implications: The use of artificial intelligence and robotics or advanced technology in pediatric nursing care can be fostered. (c) 2024 Elsevier Inc. All rights reserved.
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    Validity and reliability of the baby Eating behaviour Questionnaire in a Turkey sample
    (Taylor & Francis Ltd, 2023) Yaz, Seyda Binay; Kahraman, Ayse; Gumus, Merve; Basbakkal, Didar Zumrut
    The research was centered on developing a Turkish version of the Baby Eating Behaviour Questionnaire (BEBQ), ensuring cultural and linguistic adaptation while upholding its reliability and validity. Employing a methodological approach, the study encompassed 202 mothers whose infants were aged between 0 and 6 months. Data collection took place from December 2022 to January 2023, utilizing the Parent Demographic Questionnaire and BEBQ. Statistical analysis incorporated descriptive statistics, assessing reliability through Cronbach's alpha, test-retest, and item-total score analysis. Explanatory and confirmatory factor analyses were conducted, revealing 18 items across 4 sub-dimensions, explaining 58.3% of total variance. The scale demonstrated high reliability with a Cronbach's alpha of 0.81, while Confirmatory Factor Analysis validated the model with a Root Mean Square Error of Approximation at 0.074. Test-retest results exhibited a strong correlation (Pearson Correlation of 0.97, p < 0.001). The adapted BEBQ serves as a valid, reliable tool for evaluating infant feeding behavior in the Turkish context.