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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06431802
Other study ID # FNF20231219
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date June 2024
Est. completion date May 2025

Study information

Verified date June 2024
Source Children's Hospital of Fudan University
Contact Ying Gu, Doctor
Phone +86 13816881726
Email guying0128@aliyun.com
Is FDA regulated No
Health authority
Study type Interventional

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


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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 70
Est. completion date May 2025
Est. primary completion date March 2025
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group N/A and older
Eligibility Inclusion Criteria: 1. Obtain a Nurse Practitioner's Certificate; 2. Nurses working in critical care; 3. Voluntarily participate in this study. Exclusion Criteria: 1. Nurses in the neonatal unit (due to the specificity of pain assessment in neonates); 2. Not on duty during the survey period due to further training, rotations, sick leave, maternity leave, etc.; 3. Nurses who travel to our hospital for further training, rotations, or clinical placements during the survey period; 4. Those who fail to complete the full intervention or withdrew from the study midway.

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Conventional intervention
A nursing specialist with extensive clinical and teaching experience will provide on-site course training. The training will cover topics related to pain and pain assessment, such as: pain definition, types, physiological mechanisms, performance, pain assessment tools, and frequency of pain assessment. Interventions will be provided once a week for 4 weeks.
Behavioral:
Platform intervention
Using a pre-assigned account to log in to the platform, read the guidance instructions and enter the platform to start training. Basic knowledge of pain and pain assessment can be learnt through the Learning Resources module on the platform, and pain assessment training can be conducted through the Pain Assessment Exercise module. During pain assessment training the platform provides instant feedback based on the participant's exercises. Interventions will be completed in 4 weeks.

Locations

Country Name City State
China Children's Hospital of Fudan University Shanghai

Sponsors (1)

Lead Sponsor Collaborator
Children's Hospital of Fudan University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary Knowledge level of pain assessment Use the Pediatric ICU Nurses' Pain Assessment Knowledge Test,which is measured on a scale from 0 to 100 points. The higher the total score, the higher the level of knowledge. before and 1 month after the start of the study
Primary Skill level of pain assessment The pediatric pain assessment cases developed by the research team will be utilized for evaluation. The correct percentage range is from 0% to 100%, with higher percentages indicating a higher skill level in pain assessment. before and 1 month after the start of the study
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