title: A road traffic injury surveillance system using combined data sources in Peru.
abstract: A national hospital-based nonfatal road traffic injury surveillance system was established at sentinel units across Peru in 2007 under the leadership of the Ministry of Health. Surveillance data are drawn from three different sources (hospital records, police reports, and vehicle insurance reports) and include nonfatal road traffic injuries initially attended at emergency rooms. A single data collection form is used to record information about the injured, event characteristics related to the driver of the vehicle(s), and the vehicle(s). Data are analyzed periodically and disseminated to all surveillance system participants. Results indicated young adult males (15-29 years old) were most affected by nonfatal road traffic injuries and were most often the drivers of the vehicles involved in the collision. Four-wheeled vehicle occupants comprised one-half of cases in most regions of the country, and pedestrians injured in the event accounted for almost another half. The system established in Peru could serve as a model for the use of multiple data sources in national nonfatal road traffic injury surveillance. Based on this study, the challenges of this type of system include sustaining and increasing participation among sentinel units nationwide and identifying appropriate prevention interventions at the local level based on the resulting data.
authors.affiliation: National Office of Epidemiology, Ministry of Health, Lima, Peru.
authors.forename: Yliana
authors.initials: Y
authors.lastname: Rojas Medina
authors.forename: Victoria
authors.initials: V
authors.lastname: Espitia-Hardeman
authors.forename: Ann M
authors.initials: AM
authors.lastname: Dellinger
authors.forename: Manuel
authors.initials: M
authors.lastname: Loayza
authors.forename: Rene
authors.initials: R
authors.lastname: Leiva
authors.forename: Gloria
authors.initials: G
authors.lastname: Cisneros
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001334:Automobile Driving / Q000331:legislation & jurisprudence / Q000706:statistics & numerical data; D002648:Child; D002675:Child, Preschool; D003625:Data Collection; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D005260:Female; D006753:Hospital Records / Q000706:statistics & numerical data; D006801:Humans; D007223:Infant; D007344:Insurance Claim Reporting; D008297:Male; D008875:Middle Aged; D010568:Peru; D016495:Police; D011159:Population Surveillance; D055815:Young Adult