Traffic Collision, Transport Accident
Conditions
Keywords
traffic collision, safety, ambulances, emergency medical services
Brief summary
The aim of the project is to increase the protection of patients, employees and the organization by means of data collection about traffic collisions of ambulance cars.
Detailed description
Published research studies have shown not only that approximately half of Emergency Medical Services (EMS) providers show signs of severe fatigue before traffic collision, but also that drowsy or tired EMS providers are significantly more often injured at work. Among the circumstances and factors contributing to the collisions, including environmental, road or equipment factors, the real causes of the collisions remain unclear, but might be investigated through interviews with participating drivers. The aim is to increase the protection of patients, employees and the organization by collect data in both qualitative and quantitative ways and to identify factors and measurable variables that might lead to strengthen healthy driving habits under the blue lights. The factors associated with ambulance accidents are not similar to those of the general driving population. The in-depth analysis of the whole problem aims not only to clarify the causes of collisions, but especially to create prevention steps so that such situations occur as little as possible. The methodology will use the so-called mixed design - a combination of in-depth interviews with participating members of collisions (employees, or patient / relative), data from the road-scans and qualitative data including measurable variables. A video-analysis of the collision will be performed. All data will be recorded anonymously - each participant in the accident will receive a special number for coding, under which they will appear. Data will be presented both in descriptive statistics and after statistical analysis (chi square test for independence and Fischer's exact test at the level of significance = 0.05). In terms of qualitative data, in-depth interviews and their coding will be performed using grounded theory (based on Strauss and Corbin methodology). The aim is to gain the same view of events and their actions as the members of the group. The sample of participants depends on collision rate, which was 50 incidents in the year 2020 (expecting approx. 100 cases in 2 years).
Interventions
None listed
Sponsors
David Peran
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* ambulance driver involved in a traffic collision of ambulance car * consent to participate in the study * video recording of the collision exists and can be used
Exclusion criteria
* disagreement with participating in the study * video recording of the collision cannot be obtained
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Severity of the collision | Through study completion, an average of 2 year or until collection of 100 observations in total. | 3 levels of collisions' severity were set: (1) minor collision outside the public road, (2) minor collision caused on a public road and (3) severe collision. |
| Time frame of the collision | Through study completion, an average of 2 year or until collection of 100 observations in total. | The time frame of the collision - includes the interval in which the collision happened - (1) way to the patient, (2) transport of the patient, (3) handover of the patient, (4) way from the hospital to the base, (5) out of duty. |
Countries
Czechia
Outcome results
None listed