| Unique ID issued by UMIN | UMIN000054294 |
|---|---|
| Receipt number | R000062015 |
| Scientific Title | The Shift in Motivation for Disaster Preparedness among Health Nurses through VR-based Disaster Education |
| Date of disclosure of the study information | 2025/04/01 |
| Last modified on | 2025/05/01 09:48:29 |
The Shift in Motivation for Disaster Preparedness among Health Nurses through VR-based Disaster Education
The Shift in Motivation for Disaster Preparedness among Health Nurses through VR-based Disaster Education
The Shift in Motivation for Disaster Preparedness among Health Nurses through VR-based Disaster Education
The Shift in Motivation for Disaster Preparedness among Health Nurses through VR-based Disaster Education
| Japan |
Public Health Nurses in Areas Designated for Special Strengthening of Tsunami Evacuation Measures in the Nankai Trough Earthquake Zone
| Nursing |
Others
NO
Conduct a quantitative study where data is collected through surveys or assessments measuring the perceived severity and likelihood of disaster scenarios among municipal public health nurses. Implement the intervention program with a controlled group, while another group serves as a comparison. Analyze the data collected before and after the intervention to determine any significant changes in threat assessment and response evaluation.
Efficacy
Design an experimental study where municipal public health nurses are randomly assigned to either a control group or an intervention group. The control group receives traditional training methods, while the intervention group undergoes VR-based training sessions focused on enhancing their self-efficacy, perception of severity, and likelihood of health crisis scenarios. Assessments are conducted before and after the intervention to measure any changes in the participants' perceptions. Statistical analysis is then performed to compare the outcomes between the two groups.
Conduct an experimental study where municipal public health nurses are randomly assigned to either a control group or an intervention group. The control group receives traditional training methods, while the intervention group undergoes VR-based training sessions focused on improving threat assessment and response evaluation skills. Assessments are conducted before and after the intervention to measure any changes in the participants' abilities to assess threats and evaluate responses. Statistical analysis is then performed to compare the outcomes between the two groups.
Interventional
Single arm
Non-randomized
Open -no one is blinded
Uncontrolled
1
Educational,Counseling,Training
| Behavior,custom |
The researchers will conduct programs for participants that incorporate VR technology.
| 18 | years-old | < |
| 70 | years-old | > |
Male and Female
Public health nurses in municipalities designated as special reinforcement areas for Nankai Trough earthquake and tsunami evacuation measures.
1.Individuals experiencing symptoms resembling PTSD based on past experiences.
2.Individuals with severe motion sickness.
3.Individuals unable to attend the intervention program sessions.
10
| 1st name | Asami |
| Middle name | |
| Last name | Sasaki |
Graduate School of Medical Sciences, master's Program in Nursing, University of Fukui
Disaster nursing Certified Nurse Specialist
910-1106
Fukuiken yosidagun eiheijityou matuoka gokuryou 1003 hureriagakuentosi313
09051839915
sk23802@g.u-fukui.ac.jp
| 1st name | Asami |
| Middle name | |
| Last name | Sasai |
Graduate School of Medical Sciences master's Program in Nursing University of Fukui
Disaster nursing Certified Nurse Specialist
910-1106
Fukuiken yosidagun eiheijityou matuoka gokuryou 1003 hureriagakuentosi313
09051839915
sk23802@g.u-fukui.ac.jp
University of Fukui
Japanese Red Cross Nursing Association
Self funding
Graduate School of Medical Sciences master's Program in Nursing University of Fukui
Fukuiken Yosidagun Eiheijityou Matuoka Simoaiduki 23-3
0770613111
sk23802@g.u-fukui.ac.jp
NO
| 2025 | Year | 04 | Month | 01 | Day |
Unpublished
9
Completed
| 2024 | Year | 06 | Month | 30 | Day |
| 2024 | Year | 08 | Month | 09 | Day |
| 2024 | Year | 06 | Month | 30 | Day |
| 2025 | Year | 03 | Month | 31 | Day |
| 2024 | Year | 05 | Month | 01 | Day |
| 2025 | Year | 05 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000062015