Clinical trial NCT05358418: AIS and START Grade With Films Transferring in Disaster Management
Official title: Abbreviated Injury Scale (AIS) Grading and Simple Triage and Rapid Treatment (START) Triage Method Combined With Film Transferring on Instant Message Improve Difference of Disaster Triage and Disaster Management
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Trauma
Disaster
Keywords: AIS grading
START
film transferring
instant messaging
Lead sponsor: St. Martin De Porress Hospital
Sponsor class: OTHER
First posted: 2022-05-03
Enrollment: 90
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: CASE_CONTROL
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: All patients in the high mountain disaster

Brief summary: Disaster medical teams are formed by hospitals in response to the manpower needs of a large number of injured and sick patients. The current planning of hospitals for a large number of disaster medical manpower is too superficial. The application of today's inspection methods in the treatment of a large number of injured patients is not as good as it is. Therefore, understanding the scene situation has become the key point of manpower deployment. Today's internet transmission speed and computer artificial intelligence technology are very different from 9 years ago. The investigators adopt one more simple and easy-to-operate inspection method and use artificial intelligence technology to assist.

Detailed description: Disaster medical teams are formed by hospitals in response to the manpower needs of a large number of injured and sick patients. However, the current planning of hospitals for a large number of disaster medical manpower is too superficial. The application of today's inspection methods in the treatment of a large number of injured patients is not as good as it is. Therefore, understanding the scene situation has become the key point of manpower deployment. Today's network transmission speed and computer artificial intelligence technology are very different from 9 years ago. The image transmission of the communication software to understand the scene will help the hospital's manpower deployment or should the investigators adopt a more easy-to-operate inspection method and use artificial intelligence technology to assist Implementation method: 82 patients with a large number of injuries in the Ali mountain traffic accident over the years were included, medical records were reviewed. The photos of patients recorded at the hospital site and existing vital signs of the patients were mainly used to make grading of the traditional STAR triage and the AIS to understand the possible differences in image interpretation and injury detection. Excluding patients with incomplete clinical data of treatment, the statistical methods of the samples were Correlation analysis and Wilcoxon signed rank test, and the p value of statistical significance was 0.05

Eligibility criteria: Inclusion Criteria:

* All patients in the high mountain disaster

Exclusion Criteria:

* Excluding patients with incomplete clinical data of treatment and clinical films

Primary outcomes:
measure: Abbreviated Injury Scale (AIS) Grading and Simple Triage and Rapid Treatment (START) Triage Method Combined with Film Transferring on Instant Message Improve Difference of Disaster Triage and Disaster Management
timeFrame: 3 months
Secondary outcomes:
Other outcomes:
Locations:
city: Chiayi City
country: Taiwan
facility: St. Martin De Porres Hospital
Study officials:
affiliation: St. Martin De Porres Hospital
name: Chia-Hsi Chen, Dr
role: PRINCIPAL_INVESTIGATOR
References:
citation: Turner CD, Lockey DJ, Rehn M. Pre-hospital management of mass casualty civilian shootings: a systematic literature review. Crit Care. 2016 Nov 8;20(1):362. doi: 10.1186/s13054-016-1543-7.