Abbreviated Name:
Mortality rate from road traffic injuries
Indicator Name:
Mortality rate from road traffic injuries (per 100 000 population)
Domain:
Health status / Life expectancy and mortality
Related Terms:
Mortality by cause
Definition:
Number of road traffic fatal injury deaths per 100 000 population (age-standardized). Road traffic deaths figure are classified in the International Classification of Diseases (ICD10) in 12 groups. Those relating to land transport accidents (V01-V89) reflect the victim’s mode of transport and are subdivided to identify the victim’s “counterpart” or the type of event. The vehicle of which the injured person is an occupant is identified in the first two characters since it is seen as the most important factor to identify, for prevention purposes. It exclude crashes to persons engaged in the maintenance or repair of transport equipment or vehicle (not in motion) unless injured by another vehicle in motion (W00-X59), assault by crashing of motor vehicle (Y03), event of undetermined intent (Y31-Y33) and intentional self-harm (X81-X83)
Measurment Method:
Death registration data using ICD-10
Numerator:
Number of deaths due to road traffic fatal injury in a given year
Denominator
Population of each country in the same year
Estimation method:
Modeling, using multiple inputs, is often used if no complete and accurate data are available. For road traffic death rate estimation purpose, EMR countries are classified into three groups as follows: 1- Countries with death registration data completeness of at least 80%: For this category one of the following data can be used: death registration, projection of the most recent death registration, reported death or projected reported deaths; 2- Countries with other sources of information on cause of death: For these countries a regression method can be used to project forward the most recent year for which an estimate of total road traffic deaths is available; 3- Countries without eligible death registration data: For these countries a negative binomial regression model can be used.
Disaggregation:
Age, gender, socioeconomic status, road users (car occupants, pedestrians, cyclists, motorized 2-3 wheelers, other)
Primary data sources:
At country level: Police reports and health data (vital registration and hospital data); Civil registration and vital statistics systems with full coverage
Alternate data sources:
Injury surveillance systems, Mortuary data Population-based health surveys with verbal autopsy, administrative reporting systems (police reports)
Measurment frequency:
Annual if civil registration data are available, otherwise every five years
