TraumaSTARTNCT05358418
AIS and START Grade With Films Transferring in Disaster Management
An observational study of Trauma and Disaster, run by Chia-hsi Chen at 1 site in Taiwan.
Trial 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. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- What is being tested?
- AIS,START with films transferring
- How many people
- 90 participants
- Where
- 1 siteTaiwan
- Study dates
- 1 Dec 2022to 30 Sep 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: All patients in the high mountain disaster
Who may be able to join
- All patients in the high mountain disaster
Who cannot join
- Excluding patients with incomplete clinical data of treatment and clinical films
Trial locations and contacts
1 site in 1 country.
About this study
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
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.
Read the 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
- Being tested
- AIS,START with films transferring
- Keywords
- AIS grading, START, film transferring, instant messaging
- Medical subject headings
- Wounds and Injuries
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AIS,START with films transferringOther
Excluding patients with incomplete clinical data of treatment
What is being measured
The primary outcome is the main question the study is designed to answer.
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
The AIS and START grading are usually defined in trauma disaster when patients are sent off to emergency room. The AIS is an anatomically-based injury severity scoring system that classifies each injury by body region on a 6 points scale from minor to maximal (currently untreatable) status. The START grading assign the disaster patients to one of the following four categories: grade 0: deceased/expectant (black), grade1: immediate (red), grade 2: delayed (yellow), grade 3: minor (green) The investigators use the recorded exterior photo, radiological film and vital sign data of the injured patients to re-define the AIS and START grading. The results are compared with the original data that are documented in our medical records and want to know that the consistency exist between two groups. Excluding patients with incomplete clinical data of treatment. Statistical methods were Correlation analysis and Wilcoxon signed rank test. The p value of statistical significance was 0.05
Measured: 3 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 May 2022
- Study start1 Dec 2022
- Primary completion10 Jun 2023
- Study completion30 Sep 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for TraumaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Retrospective
- Enrolment
- 90 participants (actual)
Sponsor and investigators
- Lead sponsor
- Chia-hsi Chen
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Chia-hsi Chen, St. Martin De Porress Hospital
- Investigators
- Chia-Hsi Chen, Dr, Principal investigator, St. Martin De Porres Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05358418
- Sponsor's protocol ID
- StMartinDPH
- Acronym
- START
- Status last verified
- Nov 2023
- First submitted
- 14 Mar 2022
- Last updated
- 24 Nov 2023
- Results posted
- No
- Data monitoring committee
- Yes
- Individual data sharing
- Undecided: We have prepared all raw data for further IRB evaluation regularly.
Publications
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.
PubMed 27825363
Study at a glance
From the registry record, last updated by the sponsor on 24 Nov 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- 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
- ClinicalTrials.gov ID
- NCT05358418
- Acronym / sponsor ID
- START / StMartinDPH
- Keywords
- AIS grading, START, film transferring, instant messaging
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 90 participants (actual)
- Lead sponsor
- Chia-hsi ChenUniversity, hospital or other
- Study start
- 1 Dec 2022 (actual)
- Primary completion
- 10 Jun 2023 (actual)
- Study completion
- 30 Sep 2023 (actual)
- First posted
- 3 May 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
Study design
- Observational model
- Case-control
- Time perspective
- Retrospective
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- All patients in the high mountain disaster
Key inclusion criteria (1 listed)
- All patients in the high mountain disaster
Key exclusion criteria (1 listed)
- Excluding patients with incomplete clinical data of treatment and clinical films
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AIS,START with films transferringExcluding patients with incomplete clinical data of treatment | Other | – |
Primary outcome
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
Time frame: 3 months
The AIS and START grading are usually defined in trauma disaster when patients are sent off to emergency room. The AIS is an anatomically-based injury severity scoring system that classifies each injury by body region on a 6 points scale from minor to maximal (currently untreatable) status. The START grading assign the disaster patients to one of the following four categories: grade 0: deceased/expectant (black), grade1: immediate (red), grade 2: delayed (yellow), grade 3: minor (green) The investigators use the recorded exterior photo, radiological film and vital sign data of the injured patients to re-define the AIS and START grading. The results are compared with the original data that are documented in our medical records and want to know that the consistency exist between two groups. Excluding patients with incomplete clinical data of treatment. Statistical methods were Correlation analysis and Wilcoxon signed rank test. The p value of statistical significance was 0.05
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Nov 2023.
- Results publication: PubMed 27825363Turner 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.
- Pre-hospital management of mass casualty civilian shootings: a systematic literature reviewLink provided by the sponsor.
- Individual participant dataSharing planned: Undecided. We have prepared all raw data for further IRB evaluation regularly.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Chia-Hsi Chen, Dr principal investigator
St. Martin De Porres Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Trauma and Disaster, run by Chia-hsi Chen at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 24 Nov 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome 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 (time frame: 3 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05358418, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Nov 2023.