Road safety is a global health and economic issue that disproportionately affects low- and middle-income countries (LMICs). Precise data is crucial for understanding the full scope of the problem and developing effective interventions, but LMICs struggle to collect comprehensive data due to limited resources, underdeveloped health systems, and inconsistent data collection processes.
To overcome reporting gaps, three major global statistical models are utilized: The Institute for Health Metrics and Evaluation Global Burden of Disease (GBD) study, the World Health Organization (WHO) Global Status Reports on Road Safety (GSRRS), and WHO Global Health Estimates (GHE). However, discrepancies exist among these models and between them and official country statistics. They often estimate significantly higher road traffic fatalities and injuries than official LMIC statistics.
This GRSF study identifies the reasons behind statistical discrepancies and outlines strategies to strengthen modeling efforts. This involved qualitative research, a systematic review of national data availability, and four case studies in Brazil, Cambodia, Ethiopia, and Tanzania.
Key findings include:
- National decision-makers recognize the issue of underreporting but tend to dismiss higher estimates by global statistical models.
- Most countries use WHO GSRRS estimates.
- National health surveys and censuses in LMICs often contain relevant information, and minor modifications can greatly improve their usage for such measurements.
- Incorporating national health survey data into global statistical models can help resolve discrepancies and increase confidence in estimates.
Recommendations include:
- Integrating epidemiological data sources into global statistical models (GBD, GHE, GSRRS) to reduce discrepancies and increase confidence in their estimates.
- Including relevant questions in upcoming national data collections to facilitate epidemiological measurements of road traffic injuries.
- Encouraging local involvement in data production for better estimates.
- Enhancing coordination between the Institute for Health Metrics and Evaluation and the World Health Organization to improve estimates and reduce inconsistencies.
To achieve the goal of the Second United Nations Decade of Action for Road Safety (reducing road traffic fatalities and injuries by 50% by 2030), substantial resources need to be allocated to road safety and accurate reporting and statistical estimates are required.
