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AIMS: 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.
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BACKGROUND: Children with disabilities (CWDs) constitute a substantial segment of the population who encounter abuse, emphasizing the need to comprehend the influence of school-based interventions on this susceptible group. AIM: This systematic review and meta-analysis aimed to identify and evaluate the effectiveness of school-based interventions in enhancing child sexual abuse (CSA) knowledge among CWDs. PARTICIPANTS: This meta-analysis incorporated seven published studies, encompassing 387 CWDs. METHODS: Our study synthesizes findings from seven experimental and quasi-experimental studies, adhering to the PRISMA guidelines. The study was registered in PROSPERO. The literature search, conducted between September 25, 2023, and October 2, 2023, employed various databases and keywords relevant to the study's scope. The research question and articles' eligibility were assessed using the Population, Intervention, Comparison, Outcomes, and Study type (PICOs). The meta-analysis was conducted using the Comprehensive Meta-Analysis (CMA) software. RESULTS: The school-based intervention greatly impacted CWDs' CSA knowledge scores (Hedges's g = 1.026 [95% CI: 0.845; 1.208], z = 11.074, p = 0.000). The findings of this meta-analysis demonstrate that Questionnaire/scale-based knowledge measurement (Hedges's g = 2.586 [95% CI: 0.920; 4.252], z = 3.043, P = 0.002) and Vignette-based knowledge measurement (Hedges's g = 1.065 [95% CI: 0.655; 1.474], z = 5.100, p = 0.000) are effective in assessing CWDs' knowledge of CSA. CONCLUSION: This systematic review and meta-analysis of seven randomized controlled studies and quasi-experimental studies provide robust evidence supporting the effectiveness of school-based interventions in significantly enhancing CSA knowledge among CWDs. IMPLICATIONS TO PRACTICE: These findings are potentially significant evidence for education professionals, including educators and school health nurses.
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BACKGROUND: Proper technique for using inhalers is crucial in treating pediatric asthma. YouTube offers a wide range of videos on pediatric inhaler technique, but there is a need to analyze the quality, reliability, and content of these resources. AIMS: This study aims to analyze the quality, reliability, and content of YouTube videos on pediatric asthma inhaler techniques. METHODS: The study has a descriptive, retrospective, and cross-sectional design. The research was conducted by searching YouTube using the "Pediatric Metered Dose Inhaler," "Pediatric Accuhaler," and "Pediatric Diskus." The video's popularity was measured using the Video Power Index. The quality and reliability of the videos were evaluated using the modified DISCERN and Global Quality Scale (GQS). RESULTS: This study analyzed 55 YouTube videos on the pediatric inhaler technique. 19 of the videos were related to the pMDI inhaler with a spacer for tidal breathing, 14 pMDI inhaler with a spacer for single breath, and 22 diskus device. Findings show that videos demonstrating the use of pMDI devices for single breath have more reliable modified DISCERN scores. However, videos related to tidal breathing are more popular than those showing the use of diskus devices and single breath. Based on the checklist for videos on diskus devices, the steps with the highest error rates are 'Check dose counter' at 72.7% and 'Breathe out gently, away from the inhaler' at 63.6%. A moderate correlation was observed between the modified DISCERN score and the GQS. CONCLUSIONS: While YouTube videos on the pMDI single-breath technique may be useful for pediatric patients and caregivers, it is crucial for them to receive inhaler technique education from their healthcare provider. This study's findings hold great significance for pediatric patients and caregivers, particularly those who rely on YouTube for health-related information.
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BACKGROUND: Understanding the severity of the disease from the parents' perspective can lead to better patient outcomes, improving both the child's health-related quality of life and the family's quality of life. The implementation of 3-dimensional (3D) modeling technology in care is critical from a translational science perspective. AIM: The purpose of this study is to determine the effect of 3D modeling on family quality of life, surgical success, and patient outcomes in congenital heart diseases. Additionally, we aim to identify challenges and potential solutions related to this innovative technology. METHODS: The study is a two-group pretest-posttest randomized controlled trial protocol. The sample size is 15 in the experimental group and 15 in the control group. The experimental group's heart models will be made from their own computed tomography (CT) images and printed using a 3D printer. The experimental group will receive surgical simulation and preoperative parent education with their 3D heart model. The control group will receive the same parent education using the standard anatomical model. Both groups will complete the Sociodemographic Information Form, the Surgical Simulation Evaluation Form - Part I-II, and the Pediatric Quality of Life Inventory (PedsQL) Family Impacts Module. The primary outcome of the research is the average PedsQL Family Impacts Module score. Secondary outcome measurement includes surgical success and patient outcomes. Separate analyses will be conducted for each outcome and compared between the intervention and control groups. CONCLUSIONS: Anomalies that can be clearly understood by parents according to the actual size and dimensions of the child's heart will affect the preoperative preparation of the surgical procedure and the recovery rate in the postoperative period.