The Impact of Prehospital Trauma Life Support (PHTLS) on Outcome of Traffic Injury
|Study Design:||Observational Model: Ecologic or Community
Time Perspective: Retrospective
|Official Title:||Impact of Prehospital Trauma Life Support (PHTLS) Training of Ambulance Caregivers on Outcome of Traffic Injury Victims|
- Mortality before hospital admission. [ Time Frame: Patients will be followed up to death or at least one year after inclusion. ]Injury deaths not associated with a hospital admission.
- Mortality within 30 days. [ Time Frame: Patients will be followed up to death or at least one year after inclusion. ]Deaths within 30 days including all deaths, prehospital and hospital, up to 30 days from the injury event.
- Time to death among survivors to hospital admission. [ Time Frame: Patients will be followed up to death or at least one year after inclusion. ]Time to death among patients associated with a hospital admission.
- Return to work among survivors to hospital discharge. [ Time Frame: Patients will be followed up to occured event or at least one year after inclusion. ]Number of patients returned to work per time-unit of observation after the injury event among all patients discharged from hospital, not dead, and that was working before the accident.
|Study Start Date:||January 2011|
|Estimated Study Completion Date:||September 2012|
|Estimated Primary Completion Date:||May 2012 (Final data collection date for primary outcome measure)|
The exposure is defined from the dichotomization of the probability in each event/accident that at least one of the caring ambulance crew members was PHTLS certified.
Not exposed to PHTLS
Source Population: Sweden is divided in 21 administrative regions providing health care (counties). In 2004 Sweden had a population of about 9 million inhabitants with an average population density of 20 inhabitants/km2.
The Emergency Medical Service (EMS)-System: The ambulance staff in Sweden consists of registered nurses and emergency medical technician (EMT) equivalents (nursing assistants with special ambulance training).
Statistics: Hierarchical random effects models will be used to model the binary outcomes. Cox proportional hazards models to analyze the time to event outcomes. The difference in mean predicted outcome between the PHTLS group and the non-PHTLS group will be used to estimate the absolute risk reduction.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01603537
|Uppsala, County of Uppsala, Sweden, 754 05|
|Principal Investigator:||Rolf Gedeborg, PhD||Uppsala University|