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

Critical Illness Clinical Trial

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

Status Not yet recruiting

Clinical Trial Summary

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 main questions it aims to answer are: 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 lesson to see how well the platform intervention can be applied to pain assessment training. Participants will: 1. Use the visualisation platform or receive on-site lesson for pain assessment training every week for 1 month 2. Test before and 1 month after the start of the study

Clinical Trial Description

In pediatric intensive care units, children are often faced with complex and critical conditions that require frequent pain-causing operations and experience varying degrees of pain. Pain has serious negative physiological, psychological, and social effects on critically ill children, and may even cause long-term distress, hindering individual growth and long-term 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 towards pain assessment, 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 is intuitive, interactive and personalized, showing unique advantages different from traditional training. 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. ;

Related Conditions & MeSH terms

• Critical Illness
• Pain Measurement
• Pediatrics

• NCT number: NCT06431802
• Study type: Interventional
• Source: Children's Hospital of Fudan University
• Contact: Ying Gu, Doctor
• Phone: +86 13816881726
• Email: guying0128@aliyun.com
• Status: Not yet recruiting
• Phase: N/A
• Start date: June 2024
• Completion date: May 2025