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Congruency of Crash- and Hospital-Reported Injuries Among Child Passengers

Understanding how many children are injured in crashes, as well as the types of injuries they experience, is important to advance child passenger safety. Linking New Jersey crash reports and hospital data revealed that crash reports often report inaccurate injury locations and tend to overstate the severity of injuries experienced. Very few children experienced any injury in a crash, and injuries were rare among children in harnessed child restraint systems. 

Implications of Using Administrative Healthcare Data to Identify Risk of Motor Vehicle Crash-Related Injury: The Importance of Distinguishing Crash From Crash-Related Injury

The medical conditions and medications that make someone more likely to be involved in a crash do not necessarily make someone more likely to be injured in a crash. Using linked NJ-SHO data and Medicare claims data of older drivers, researchers found differences between crash-involved drivers with and without an injury. Researchers should consider linking multiple sources of crash information and make a clear distinction between predicting crash involvement and being injured in a crash.

Download the Data

The data powering each NJ-SHO Data Dashboard view are available to download. The data files below are zip files that include aggregate datasets (as comma-delimited.csv files) and dataset documentation (as .pdf) for each dashboard view.  For more detailed …
Older Driver

Medication Changes Among Older Drivers Involved in Motor Vehicle Crashes

Although older adults may use potentially driver-impairing (PDI) medications that can produce psychomotor impairment, little is known about changes to PDI medication use among older adults from the time before to the time after a motor vehicle crash (MVC). Study findings  suggest that most older drivers involved in MVCs did not use fewer PDI medications after crashes than before. Qualitative research of perceived risks versus benefits of PDI medications is necessary to understand why MVCs do not appear to motivate clinicians to deprescribe PDI medications. 

How to Use the Dashboard

The NJ-SHO Data Dashboard offers the ability to compare transportation safety and injury metrics over time, by community, and by population characteristics. This people-focused data visualization tool offers 10 views: Traffic Safety Overview, Road Users, …
Illustration of people enjoying a park including someone riding a bicycle, pushing a stroller, and walking on a path

Applying Individual- and Residence-Based Equity Measures to Characterize Disparities in Crash Outcomes

This study sought to provide a deeper understanding of inequalities in traffic safety. Among New Jersey drivers involved in crashes, people who live in lower opportunity neighborhoods and people of minoritized race and ethnicity groups were more likely to be involved in injury crashes and all crashes. These findings emphasize the need to consider a person’s lived experience when assessing their crash risk and a path to reducing disparities in traffic safety. 

Melissa Pfeiffer

Melissa R. Pfeiffer, MPH

Melissa has led all data linkage and management of the Data Warehouse since inception and guides many of its ongoing analytic projects.
Romario Smith, MPH, MSW

Romario Smith, MPH, MSW

Romario provides data management and analytical support for both the Data Warehouse and Dashboard.
research paper

Changes in the Burden of Medications That May Impair Driving Among Older Adults Before and After a Motor Vehicle Crash

Some medications, such as antihistamines and antidepressants, can impact a person’s driving and are considered potentially driver-impairing (PDI). Over half of older Medicare beneficiaries involved in crashes in New Jersey were exposed to two or more potentially driver-impairing (PDI) medications before and after a crash. Some drivers started taking more PDI medications after a crash, suggesting the need for more attention to the effects on driving for older people involved in crashes.

Textbooks

Variation In Drivers' Seat Belt Use By Indicators of Community-Level Vulnerability

Examining crash reports with linked community-level indicators may optimize efforts aimed at improving traffic safety behaviors, like seat belt use. This study found that not wearing a seat belt is 121% more prevalent in communities with the largest percentage of the population living with three or more indicators of vulnerability than those in the least vulnerable communities.