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Risk Level of Suffering From Traffic Injury in Primary Health Care: LESIONAT Project

Risk Level of Suffering From Traffic Injury in Primary Health Care: LESIONAT Project

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00778440
Acronym
LESIONAT
Enrollment
1540
Registered
2008-10-23
Start date
2009-01-31
Completion date
2009-09-30
Last updated
2009-08-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Disease, Prevalence of Psychoactive Substances in Road Traffic, Relative Risk Estimation of Accident for Impaired Drivers, Traffic Accident

Keywords

Injuries, Traffic Injuries, Preventive medicine, Observational studies, Primary care

Brief summary

Main objectives: * To know the distribution of risk elements of traffic injuries Secondary objectives: * To study the distribution of risk elements related with the possibility of suffering from a TI in relation to medication, chronic health problems, and consumption of psychoactive substances (alcohol and others). * To know the relation between levels of perception of risk of suffering from a TI and the presence of chronic problems, medications, or consumption of psychoactive substances.

Detailed description

Methodology: Design: Observational, transversal, and multicentric research Field of study: 20 PHC users from urban areas Population of study: random consecutive sampling of ≥ 16 years old drivers with open medical history. Measure's tools: Two means for data collection: survey among health professionals with medical history and structured telephonic survey about behaviours and risk perceptions in drivers. Variables: Sociodemographic data, chronic pathologies related to TI, consumption of medications ,Alcohol consumption (AUDIT-C test), Psychoactive substances consumption (self declared), Level of perception of risk according to professionals. Telephone survey: Class and age of driving license, Type of roads, Weekly driving time, Safety behaviours, Record of collisions/injuries in last year,Self perception of health level(SF-12) andSelf perception of risk level. An descriptive analysis of population will be performed, a distribution of risk elements associated to TI will be described through bivariant analyses, and for describing the factors associated to perceived risk levels a linear regression multiple model will be built.

Interventions

None listed

Sponsors

Unitat de Suport a la Recerca, Barcelona, Spain
CollaboratorOTHER
Societat Catalana de Medicina Familiar i Comunitària, Assoc. (CAMFiC)
CollaboratorOTHER
Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Lead SponsorOTHER

Study design

Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
16 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* 16 years old or more * Catalan and/or spanish language speakers * Drivers with driver license * Participation accepted by the patient

Exclusion criteria

* Patients who do not have contact phone number. * Patients who do not answer up to 3 phone calls * Patients with severe mental or physical health disorder

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 1, 2026