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BACKGROUND: Management of chemotherapy-induced mucosal barrier damage and oral/anal mucositis in leukemia is challenging. OBJECTIVE: The aim of this study was to investigate the effect of mucositis care training given to children receiving leukemia treatment and their caregivers on caregiver knowledge and skills, the development of gastrointestinal mucositis in children, the mean oral mucositis area in children, and the mucosal barrier injury laboratory-confirmed bloodstream infection in the clinic. METHODS: A stepped-wedge, quasi-experimental, unpaired control group design was used. The participants in the control group were given routine training, and the intervention group members were given mucositis care training in accordance with the guideline recommendations. RESULTS: No significant difference was found between groups in developing anal mucositis, but a significant difference in developing oral mucositis was documented, with the mean mucositis area of children being 8.36 ± 3.97 cm2 in the control group and 4.66 ± 2.90 cm2 in the intervention group. The mucosal barrier injury laboratory-confirmed bloodstream infection ratio was 4 per 1000 catheter days in the control group and 3 per 1000 catheter days in the intervention group. CONCLUSION: Mucositis care training had a significant positive effect on caregivers' knowledge and skills, the development of oral mucositis, and the mean oral mucositis area in children. However, the training had no effect on the development of anal mucositis or the infection rate in the clinic. IMPLICATIONS FOR PRACTICE: Nurses might increase the knowledge and skill levels of caregivers with training on mucositis care, prevent the development of mucositis, and reduce the mean mucositis area. Training might also contribute to the reduction in the infection rate of the clinic.

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The COVID-19 pandemic has affected the educational, social, and psychological lives of children and young people. Many countries have transitioned to online education because of the pandemic. This study aimed to examine the levels of fear of nursing students about COVID-19 and their attitudes towards e-learning. This study was designed as a cross-sectional and descriptive study. The data were collected using the COVID-19 Phobia Scale and the Attitude Scale Towards E-learning. This research was conducted with nursing students (n = 301) who received online education due to the COVID-19 pandemic. The students' mean COVID-19 Phobia Scale score was 49.26 ± 15.88; the mean Attitude Scale Towards E-learning score was 59.46 ± 17.00, and a significantly positive relationship was found between the participants' scores on both scales (r = 0.122; p < 0.034). The COVID-19 pandemic has caused students to experience psychological and social problems. It is essential to have sufficient infrastructure to effectively maintain online education.

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Although the overall incidence of pediatric oncological diseases tends to increase over the years, it is among the rare diseases of the pediatric population. The diagnosis, treatment, and healthcare management of this group of diseases are important. Prevention of treatment-related complications is vital for patients, particularly in the pediatric population. Nowadays, the use of artificial intelligence and machine learning technologies in the management of oncological diseases is becoming increasingly important. With the advancement of software technologies, improvements have been made in the early diagnosis of risk groups in oncological diseases, in radiology, pathology, and imaging technologies, in cancer staging and management. In addition, these technologies can be used to predict the outcome in chemotherapy treatment of oncological diseases. In this context, this study identifies artificial intelligence and machine learning methods used in the prediction of complications due to chemotherapeutic agents used in childhood cancer treatment. For this purpose, the concepts of artificial intelligence and machine learning are explained in this review. A general framework for the use of machine learning in healthcare and pediatric oncology has been drawn and examples of studies conducted on this topic in pediatric oncology have been given. IMPACT: Artificial intelligence and machine learning are advanced tools that can be used to predict chemotherapy-related complications. Algorithms can assist clinicians' decision-making processes in the management of complications. Although studies are using these methods, there is a need to increase the number of studies on artificial intelligence applications in pediatric clinics.

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PURPOSE: Even the healthiest neonates experience pain during painful interventions (e.g. administration of Vitamin K, heel lance) in their first moments of life. This study aimed to examine the validity and reliability of the Turkish version of the Neonatal Infant Acute Pain Assessment Scale. DESIGN AND METHODS: This methodological study was conducted with 100 newborns receiving treatment and care in a tertiary neonatal intensive care unit. The data were collected using the Neonate Demographic Form, the Neonatal Infant Acute Pain Assessment Scale, and the Premature Infant Pain Profile. The scale was analyzed in terms of validity, internal consistency, and interobserver reliability. RESULTS: The content validity index of the scale was found to be between 0.87 and 1.00, while Cronbach's alpha coefficient was between 0.708 and 0.833. According to the item analysis results, item-total correlation values were high. A strong positive correlation was found between the scores of the two scales that were analyzed for concurrent validity. CONCLUSIONS/PRACTICE IMPLICATIONS: The Turkish version of the Neonatal Infant Acute Pain Assessment Scale was determined to be valid and reliable. More studies should be done to accurately measure and effectively manage neonatal pain.

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BACKGROUND: Lack of knowledge about epileptic seizure management and negative attitudes toward children with epilepsy among nursing students may negatively affect the quality of healthcare services they deliver. AIM: This study aimed to examine the effect of training given to nursing students using simulation and standard child mannequins on their childhood epileptic seizure management knowledge, skills, and attitudes. METHODS: Participants (n = 72) were recruited from a Nursing Faculty in Izmir, Turkey. Students were randomly assigned to the intervention and control groups (n = 36 in each). The intervention group received simulation-based training on epilepsy while the control group received standard child mannequin training on epilepsy. One week after the training, the students were asked to demonstrate their epileptic seizure management knowledge and skills on a simulation model or a standard child mannequin. During this process, they were observed and assessed by two independent observers on the basis of a list of epileptic seizure management skills. All participants completed the personal information form, the Epilepsy and Epileptic Seizure Management Knowledge Test, and the Epilepsy Knowledge and Attitude Scale before, and after the training, McNemar's test, repeated measure ANOVA (intravenous), dependent t-test, chi-square test, Fisher's exact test, independent t-test, Pearson's correlation analysis, and Pearson's chi-square test were used to compare the groups. Intraclass correlation coefficient (ICC) was used to evaluate the consistency between observers. RESULTS: The epilepsy knowledge scale mean scores of both groups significantly increased after their respective trainings (p < 0.001), but the difference between the groups was not statistically significant (p = 0.829). There was no statistically significant difference between the pre- and posttraining epilepsy attitude scale mean scores of the control group (p = 0.630), however, a statistically significant increase was observed in the epilepsy attitude scale mean score of the intervention group (p = 0.008). In addition, both groups' self-confidence in epileptic seizure management significantly increased after the training (p = 0.000). CONCLUSIONS: Simulation-based training was beneficial for students insofar as it helped them to develop positive attitudes toward epilepsy.

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PURPOSE: The aim of this study is to determine the prevalence of infiltration and extravasation among children staying in a children's hospital and the interventions carried out when infiltration or extravasation occurred. METHODS: A prospective and descriptive research design was used in the study, conducted between September 2015 and February 2016, and determined the prevalence of infiltration and extravasation and their characteristics. The study sample consisted of 297 peripheral catheters in 173 pediatric patients. RESULTS: Of 297 peripheral catheters, 50.8% were located on the right and 30.6% were inserted in the dorsal metacarpal vein. Infiltration and extravasation occurred in 2.9% and 2.3% of the patients, respectively. The prevalence of infiltration and extravasation was 5.5 and 4.4 per 1000 patient-days, respectively. The applied interventions after infiltration or extravasation included covering with a gauze dressing or alcohol-soaked cotton, cold application, irrigation with physiological saline, and elevation. CONCLUSION: The infiltration and extravasation prevalence were found to be high, but the interventions to address them were inadequate. Training and implementation strategies should be planned for pediatric nurses to prevent infiltration and extravasation.

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