Background: Venipuncture is a routine nursing procedure in the pediatric ward for blood collection and transfusion. However, this procedure can cause severe pain and distress if not adequately managed.Methods: Children aged 3–16 years old were randomized into three groups: EMLA group, distraction group, and combined group. The primary outcome was children’s self-reported pain scored using the Wong-Baker FACES® Pain Rating Scale. The parents-reported and observer-reported pain were scored using the Revised Face, Legs, Activity, Cry and Consolability Scale, and children’s salivary cortisol levels, heart rate, percutaneous oxygen saturation, venipuncture duration and retaining time of IV cannulas were the secondary outcomes.Results: A total of 299 children (167 male, 55.8%, median age 8.5) were enrolled: EMLA group (n = 103), distraction group(n = 96) and combined group(n = 100). There was no statistical difference in self-reported pain (P = 0.051), parent-reported pain (P = 0.072), and observer-reported pain (P = 0.906) among the three groups. All three interventions can decrease children’s pain during IV cannulations. Additionally, the distraction group's salivary cortisol levels were lower than the combined group(P = 0.013). Furthermore, no significant difference was observed in the heart rate(P = 0.844), percutaneous oxygen saturation (P = 0.438), venipuncture duration (p = 0.440) and retaining time of IV cannulas (p = 0.843) among the three groups.Conclusions: All three groups responded with slight pain during the peripheral venipuncture procedure. Therefore, medical workers in pediatric settings can use the interventions appropriate for their medical resources and availability while involving parents and children’s preferences whenever possible.Trial registration: This trial was registered onhttps://register.clinicaltrials.gov/(Gov.ID NCT04275336).

Background: Medical artificial intelligence (AI) has significantly contributed to decision support for disease screening, diagnosis, and management. With the growing number of medical AI developments and applications, incorporating ethics is considered essential to avoiding harm and ensuring broad benefits in the lifecycle of medical AI. One of the premises for effectively implementing ethics in Medical AI research necessitates researchers' comprehensive knowledge, enthusiastic attitude, and practical experience. However, there is currently a lack of an available instrument to measure these aspects. Objective: The aim of this study was to develop a comprehensive scale for measuring the knowledge, attitude, and practice of ethics implementation among medical AI researchers, and to evaluate its measurement properties. Methods: The construct of the Knowledge-Attitude-Practice in Ethics Implementation (KAP-EI) scale was based on the Knowledge-Attitude-Practice (KAP) model, and the evaluation of its measurement properties was in compliance with the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) reporting guidelines for studies on measurement instruments. The study was conducted in 2 phases. The first phase involved scale development through a systematic literature review, qualitative interviews, and item analysis based on a cross-sectional survey. The second phase involved evaluation of structural validity and reliability through another cross-sectional study. Results: The KAP-EI scale had 3 dimensions including knowledge (10 items), attitude (6 items), and practice (7 items). The Cronbach α for the whole scale reached .934. Confirmatory factor analysis showed that the goodness-of-fit indices of the scale were satisfactory (χ2/df ratio:=2.338, comparative fit index=0.949, Tucker Lewis index=0.941, root-mean-square error of approximation=0.064, and standardized root-mean-square residual=0.052). Conclusions: The results show that the scale has good reliability and structural validity; hence, it could be considered an effective instrument. This is the first instrument developed for this purpose.

Background: The Theoretical Domains Framework (TDF) is among the most extensively utilised foundational frameworks in implementation science. It was developed from 33 psychological theories, with the latest version identifying 14 domains encompassing 84 theoretical constructs. These domains and constructs capture the complexity of factors that affect behaviours, making the framework a valuable tool for designing and implementing interventions within health and social care settings. Objective: To summarise the development, hot topics, and future trends in TDF-related research and provide implementation practitioners with more information on the application of TDF. Methods: We used TDF as the topic and searched the ISI Web of Science Core Collection, identifying 1382 relevant publications. We used analytical tools such as Excel, Tableau, VOSviewer, and Citespace to conduct a bibliometric analysis of the relevant publication. Results: We identified the United Kingdom as the primary contributor, with University College London as the key institution. Susan Michie ranked highest in total citations. The analysis highlighted cancer and stroke as primary clinic medicine-related topics using TDF. Emerging themes encompass abuse, violence, maternal health, antenatal care, patient involvement, and trauma-informed care et al. “Nurse” and “qualitative research” emerged as recent and enduring hotspots, possibly indicating future research trends. Conclusion: This article represents the first attempt to summarise the TDF using bibliometric analysis. We suggest this method can be used to analyse other theoretical frameworks in scientific implementation of its objectivity and quantifiability. Overall, the application scope of TDF is shifting from public health towards more specialised clinical directions, although its application in the field of public health is continuously expanding. In the future, the number of users of TDF is also expected to expand from implementation scientists to professional technical personnel.

A peripherally inserted central catheter (PICC) with its tip preferably in the vena cava is essential in caring for patients with chronic conditions in general pediatrics. However, PICC-related complications are concerning and warrant further investigations. To share the experience of a nurse-inserted peripherally inserted central catheters (PICC) program initiated in a general pediatric department. A retrospective descriptive cohort study based on a prospectively collected database was conducted. All PICCs inserted in the departments of gastroenterology and pulmonology in a tertiary pediatric center from Dec. 2015 to Dec. 2019 were included in the study. Complications and risk factors were analyzed by comparing cases with and without complications. We also reported arm movements in correcting mal-positioned newly-inserted PICCs. There were 169 cases with a median (IQR) age of 42(6, 108) months who received PICC insertion during a 4-year period. Inflammatory bowel disease was the leading diagnosis accounting for 25.4% (43/169) of all cases. The overall complication rate was 16.4 per 1000 catheter days with malposition and occlusion as the two most common complications. Multivariate models performed by logistic regression demonstrated that young age [p = 0.004, OR (95%CI) = 0.987(0.978, 0.996)] and small PICC diameter (1.9Fr, p = 0.003, OR (95%CI) = 3.936(1.578, 9.818)] were risk factors for PICC complications. Correction of malpositioned catheters was attempted and all succeeded in 9 eligible cases by using arm movements. The nurse-inserted PICC program in general pediatrics is feasible with a low rate of complications. PICC tip malposition and occlusion were two major PICC-related complications when low age and small catheter lumina were major risk factors. Furtherly, arm manipulation potentially is an easy and effective approach for correcting malpositioned newly-inserted PICC catheters.

This article describes the development process and application of the Pediatric Nursing-Clinical Decision Support System for Hyperthermia. Firstly, we formed the Pediatric Nursing-Knowledge Base for Hyperthermia, which combines publicly available clinical practice guidelines and nursing routines of hyperthermia management. Then, following the nursing process framework, the system was developed using clinical decision support technology. Finally, a pre- and post-test were adopted to examine the effectiveness, usability, and feasibility before (1st to 31st of August 2018) and after (1st to 31st of December 2019) using the system. Its effectiveness was examined by analysis of nursing records' quality, including completeness of nursing assessment, timeliness of nursing diagnosis, individualization of nursing interventions, and timeliness of nursing evaluation. Its usability and feasibility were assessed using the Clinical Nursing Information System Effectiveness Evaluation Scale. There was a significant difference between the two groups in effectiveness, usability, and feasibility. Although the system was developed specifically for our hospital workflow and processes, the Pediatric Nursing-Knowledge Base for Hyperthermia and workflow for hyperthermia management in this study can be used as a reference to other hospitals.