Helmet use among motorcycle and moped riders injured in Hawaii: Final medical dispositions from a linked database

A systematic review and meta-analysis of data linkage between motor vehicle crash and hospital-based datasets

Motor vehicle crash data linkage has emerged as a vital tool to better understand the injury outcomes and the factors contributing to crashes. This systematic review and meta-analysis aims to explore the existing knowledge on data linkage between motor vehicle crashes and hospital-based datasets, summarize and highlight the findings of previous studies, and identify gaps in research. A comprehensive and systematic search of the literature yielded 54 studies for a qualitative analysis, and 35 of which were also considered for a quantitative meta-analysis. Findings highlight a range of viable methodologies for linking datasets, including manual, deterministic, probabilistic, and integrative methods. Designing a linkage method that integrates different algorithms and techniques is more likely to result in higher match rate and fewer errors. Examining the results of the meta-analysis reveals that a wide range of linkage rates were reported. There are several factors beyond the approach that affect the linkage rate including the size and coverage of both datasets and the linkage variables. Gender, age, crash type, and roadway geometry at the crash site were likely to be associated with a record's presence in a linked dataset. Linkage rate alone is not the only important metric and when linkage rate is used as a metric in research, both police and hospital rates should be reported. This study also highlights the importance of examining and accounting for population and bias introduced by linking two datasets.

Adult moped-related injuries treated in U.S. emergency departments

Objective: Few studies have investigated U.S. emergency department (ED) moped-related injuries. Our objective was to determine the characteristics of moped crashes among adult riders and to identify associations between key variables.Methods: Data were obtained from the National Electronic Injury Surveillance System (NEISS) for 2002-2014. Descriptive and comparative analyses of the identified cases were performed.Results: Based on a probability sample of 2,453 cases, an estimated 108,229 U.S. adult moped-related ED visits occurred during the study period. Injuries increased 2.7-fold over time. Summer months and weekdays were the most common crash times. Three-fourths of injured riders were male, two-thirds were ages 23-59 years, and 77% were Caucasian. Among cases documented, one-half were helmeted, and almost two-thirds of crashes occurred at ≤20 mph. The predominant mechanism was a non-collision crash (60%). Skin-related and musculoskeletal diagnoses were most common. Almost one-fifth of patients were admitted or transferred. Regression analyses showed that males were less likely than females to be in crashes with multiple riders, and more likely to have used alcohol/drugs and to be in a crash with another motor vehicle (MVC). Older riders (≥40 years) were more likely than those younger to have used alcohol/drugs and to suffer torso injuries, and less likely to be in an MVC. As compared to other crash mechanisms, MVCs were more likely to involve injuries to the head/neck/face and torso. The likelihood of being admitted/transferred was higher for males, with increasing age, and for collision-related crashes. The higher likelihood of being admitted/transferred was also characterized by alcohol/drug use, by lower limb and torso injuries, and almost 8 times more likely for riders with serious head injuries.Conclusions: Moped injuries increased in all adult age groups during the study period. However, there were significant differences in contributing factors, crash mechanism, and outcomes by sex, race, and age. These findings suggest the need for targeted injury prevention interventions.

State helmet laws and helmet use among fatally injured moped riders in the United States, 2011-2015

OBJECTIVE

Research has found that mandatory motorcycle helmet laws increase helmet use and reduce motorcycle-related fatalities. However, the association between state moped helmet laws and helmet use in the United States has not been examined. This study investigated this association among a census of fatally injured moped riders in the United States.

METHODS

A logistic regression model was constructed to analyze data extracted from the Fatality Analysis Reporting System (FARS) to examine risk factors for helmet nonuse among 572 moped riders fatally injured between 2011 and 2015.

RESULTS

Fatally injured moped riders in states with universal helmet laws had 69 times the odds of wearing a helmet (P < .001).

CONCLUSIONS

Findings suggest that universal moped helmet laws increase helmet use. However, additional research is needed to examine helmet laws and use among nonfatally injured moped riders.