Improvement of Trauma Care Quality by Implement Trauma Register in a Middle Income Country
1 other identifier
observational
2,000
1 country
1
Brief Summary
Every year more people die from traumatic injuries than from infections such as malaria, tuberculosis, and HIV/AIDS. About 3000 people are killed annually on Kenyan roads. Hospital trauma registers have played a key role in the advancement of patient-based research and trauma care. Trauma registers offer a unique opportunity to document patient characteristics and audit outcomes, thereby creating a platform for clinical research. One of these systems is the ICD-based Injury Severity Score (ICISS) derived from and validated on hospital data to predict hospital death. The establishment of the register enables us to compare the trauma care quality with other existing or upcoming trauma registers, in different settings.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2018
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 19, 2018
CompletedFirst Posted
Study publicly available on registry
April 2, 2018
CompletedStudy Start
First participant enrolled
May 8, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2019
CompletedOctober 8, 2019
October 1, 2019
1.1 years
March 19, 2018
October 7, 2019
Conditions
Outcome Measures
Primary Outcomes (1)
Score injury severity with the aim of improving trauma care by using the ICD-based Injury Severity Score (ICISS) derived from and validated on hospital data to predict hospital death.
To calculate ICISS, each ICD-code is assigned a survival risk ratios (SRR), which represents a true continuous variable that takes on values between 0 and 1. SRR is based on the assumption that a patient's probability of survival can be predicted based on the survival rates of prior patients with similar injuries as classified by the ICD-10. The ICISS value is the product of SRRs from each injury sustained. A multiplicative prediction model with an assumption that all injuries contribute to the overall severity. The SRR for each code is empirically derived from the upcoming patient data. To obtain ICISS, SRRs of all injuries are multiplied. ICISS = SRRinj1 × SRRinj2 × SRRinj3 × SRRinj4. Create a ICISS trauma registry is valuable to document epidemiology, process and outcome, thus enabling the measurement of the impact of trauma care following injury.
two years
Eligibility Criteria
Trauma patients of ages 14 and above admitted to the ED at MTRH will be included in the study.
You may qualify if:
- Trauma patients of ages 14 and above admitted to the ED at MTRH will be included in the study.
You may not qualify if:
- Those brought in dead, revisits, or referred patients will excluded.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Hospital, Linkoepinglead
- Moi Univeristycollaborator
Study Sites (1)
Moi Teaching and Referral Hospital, Kenya.
Eldoret, 30100, Kenya
MeSH Terms
Conditions
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 12 Months
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator, RN, PhD
Study Record Dates
First Submitted
March 19, 2018
First Posted
April 2, 2018
Study Start
May 8, 2018
Primary Completion
May 31, 2019
Study Completion
May 31, 2019
Last Updated
October 8, 2019
Record last verified: 2019-10