Construction and Application of the Visualization Training Platform Based on a Multimodal Standardized Dataset for Pain Assessment in Critically Ill Children

Overview

The goal of this clinical trial is to learn if the visualization training platform based on a multimodal standardized dataset for pain assessment in critically ill children is applicable for pain assessment training. The study aims to answer: 1. Does pain assessment training with a visualization training platform based on a multimodal standardized dataset for pain assessment in critically ill children improve participants' knowledge level of pain assessment? 2. Does pain assessment training with a visualization training platform based on a multimodal standardized dataset for pain assessment in critically ill children improve participants' skill level of pain assessment? Researchers will compare a visualization training platform based on a multimodal standardized dataset for pain assessment in critically ill children to on-site lessons to see how well the platform intervention can be applied to pain assessment training. Participants will: 1. Use the visualization platform or receive on-site lessons for pain assessment training every week for 1 month. 2. Test before and 1 month after the start of the study.

In pediatric intensive care units, children are often faced with complex and critical conditions that require frequent procedures which may cause pain, and experience varying degrees of pain. Pain can have serious negative effects on the physiological, psychological, and social well-being of critically ill children, and may even lead to long-term distress, impeding both individual growth and overall health. Reliable pain assessment can help healthcare professionals to better understand the type and extent of pain in children, so that appropriate interventions can be taken to better manage the child's pain and thereby improve the child's health outcomes. However, pediatric nurses face challenges from the child, observational indicators, and the individual themselves during pain assessment in the clinic. Training in pain assessment can effectively improve nurses' knowledge, skills and attitudes, enabling them to better cope with the difficulties associated with pain assessment, thereby improving the quality of pain management and providing optimal pain care for children. Traditional training has many drawbacks, and there are various difficulties in pain assessment training for critically ill children, which brings various challenges to pain assessment training for pediatric ICU nurses. Visualization training, being intuitive, interactive, and personalized, offers unique advantages over traditional training methods. The union of deliberate practice with visualization training can further enhance the training effect, and help pediatric ICU nurses' pain assessment ability to be comprehensively improved through purposeful practice, timely feedback, and repeated training and challenges, so that they can more accurately identify and assess children's pain. Therefore, a visualization training platform based on a multimodal standardized dataset for pain assessment in critically ill children will be constructed for pain assessment training to promote better improvement of pain assessment ability of pediatric ICU nurses, so that pain in critically ill children can be better managed.