Trauma Clinical Trial
Official title:
Improvement of Trauma Care Quality by Implement Trauma Register in a Middle Income Country
NCT number | NCT03485573 |
Other study ID # | KMC-002 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | May 8, 2018 |
Est. completion date | May 31, 2019 |
Verified date | October 2019 |
Source | University Hospital, Linkoeping |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
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.
Status | Completed |
Enrollment | 2000 |
Est. completion date | May 31, 2019 |
Est. primary completion date | May 31, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 14 Years and older |
Eligibility |
Inclusion Criteria: Trauma patients of ages 14 and above admitted to the ED at MTRH will be included in the study. - Exclusion Criteria: Those brought in dead, revisits, or referred patients will excluded. - |
Country | Name | City | State |
---|---|---|---|
Kenya | Moi Teaching and Referral Hospital, Kenya. | Eldoret |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Linkoeping | Moi Univeristy |
Kenya,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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. |
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