The Crash Outcome Data Evaluation System (CODES)
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Summary
This technical report details the Crash Outcome Data Evaluation System (CODES), a project mandated by the Intermodal Surface Transportation Efficiency Act (ISTEA) of 1991. The study aimed to quantify the benefits of safety belts and motorcycle helmets by analyzing not only mortality but also injury severity and direct medical costs. Prior to CODES, highway safety data lacked comprehensive, occupant-specific medical outcome information, limiting the ability to assess the full societal impact of crashes, which totaled $83 billion annually. The project sought to fill this gap by linking statewide crash reports with medical and financial data to evaluate the effectiveness of safety countermeasures in reducing fatalities, morbidity, and healthcare expenditures. The methodology involved seven states—Hawaii, Maine, Missouri, New York, Pennsylvania, Utah, and Wisconsin—which were selected based on their existing computerized data systems. The core innovation was the use of probabilistic linkage software (AUTOMATCH) to connect disparate data sources, including police crash reports, emergency medical services records, emergency department logs, hospital discharge data, and insurance claims. This approach allowed for the matching of records without requiring exact identifiers, accommodating data errors and missing values. Each state formed advisory committees to facilitate collaboration among data owners and users, ensuring data quality and confidentiality. The linked datasets were analyzed using logistic regression models to determine odds ratios and effectiveness rates for safety belt and helmet use, controlling for various covariates such as age, gender, and crash characteristics. The results confirmed that safety belts and motorcycle helmets are effective in reducing fatalities and injuries. Specifically, the analysis demonstrated that belt use significantly lowered the odds of death, inpatient hospitalization, and any injury. Similarly, helmet use was shown to prevent brain injuries and reduce the severity of outcomes for motorcycle riders. Beyond injury prevention, the study found that the use of these safety devices could save millions of dollars in direct medical costs across the participating states. The report provides state-specific breakdowns of these benefits, highlighting variations in effectiveness and cost savings based on local legislation, such as primary versus secondary seat belt laws and helmet mandates. The linkage process itself was validated, with manual review minimizing false positives and negatives, ensuring the reliability of the matched data. The significance of CODES lies in its establishment of a robust framework for linking crash and medical data, providing the first population-based, occupant-specific evaluation of crash outcomes and costs. This comprehensive approach allows for a more systematic understanding of injury control, shifting focus from mere occurrence monitoring to a holistic view that includes prevention, acute care, and rehabilitation. The findings support the continued enforcement of safety belt and helmet laws, not only for their life-saving potential but also for their economic benefits in reducing healthcare burdens. The project underscores the value of interdisciplinary collaboration and standardized data linkage for informing federal and state highway safety policies.
Key finding
Safety belts and motorcycle helmets are effective in reducing fatalities and injuries and saving millions of dollars in direct medical costs across the seven CODES states.
Methodology
dataset
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | partial | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- incidence prevalence
- demographic disparities
- comparative international
- causation analyses
- naturalistic crash near crash
- fatality injury trends
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource