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.
