Currently, many airplanes and helicopters are used as air ambulances to transport high-acuity patients. Unfortunately, civilian air medical transport in the United States has experienced a significant number of serious and fatal accidents. At the moment, additional research is needed to identify what factors affect air medical safety.

Accident reports from the National Transportation Safety Board (NTSB) were queried. Accident reports were analyzed if the accident occurred from 2000 through 2020, involved a helicopter or airplane on an air medical flight (as identified by the NTSB), and had at least one fatality. The date of the accident, the model of aircraft involved, and NTSB-determined probable causes of the accident were examined.

Eighty-seven (87) accidents and 239 fatalities took place from January 2000 through December 2020. Nearly three-fourths (72.4%) of fatalities occurred on helicopters, while just 27.6% occurred on airplanes. Interpreting the NTSB findings, various human factors probably contributed to 87.4% of fatalities. These include pilot disorientation, pilot errors, maintenance errors, impairment, fatigue, or weather misestimation. Nighttime-related factors probably contributed to 38.9% of fatalities, followed by weather-related factors (35.6%), and various mechanical failures (17.2%).

These data show that the probable causes of fatal air medical accidents are primarily human factors and are, therefore, likely preventable. Developing a safety-first culture with a focus on human factors training has been shown to improve outcomes across a wide range of medical specialties (eg, anesthesia, surgery, and resuscitation). While there have been fewer fatal accidents in recent years, a continued emphasis on various training modalities seems warranted.

This study utilizes a [US] national sample of emergency medical services (EMS) professionals to explore the hypothesis that demographic and work-related characteristics are associated with involvement in ambulance crashes.

In 2004, a cohort of nationally registered EMS professionals was surveyed to determine ambulance crash involvement during a 12-month period. Involvement in an ambulance crash was the outcome variable of interest. Demographics such as age, community size, service type, call volume, time spent in an ambulance, and current sleep problems were analyzed as independent variables. A multivariate logistic regression model identified variables associated with involvement in an ambulance crash within the past year.

Surveys were received from 1,775/5,565 (32.0%) participants; 1,297 (73.1%) met the inclusion criteria. A total of 111 (8.6%) of participants reported being involved in an ambulance crash within the past 12 months. When controlling for call volume and time in an ambulance, the odds of involvement in an ambulance crash within the past year were significantly higher for younger EMS professionals and those reporting sleep problems.

Results from this analysis suggest age and sleep problems are associated with involvement in an ambulance crash. Future studies should investigate interventions to minimize the effects of these associations.

Decisions to send an ambulance with or without lights and siren are made every day. While travel with lights and siren is presumed to have relatively more risk associated with it than travel without, little epidemiologic analysis has been conducted to compare the two modes of travel or to characterize collisions in general.

To characterize ambulance collisions and assess the risk of traveling with lights and siren in an urban 9-1-1 environment.

Retrospective analysis of all consecutive ambulance collisions of the Paramedic Division of the San Francisco Department of Public Health during a 27-month period.

The overall collision rate for lights and siren (LS) travel was higher than that for non-lights and siren travel, although the difference was not statistically significant (45.9 collisions per 100,000 LS patient travels, 95% confidence limits 29.7, 62.1, versus 27.0/100,000 for non-LS travel, 95% confidence limits 18.3, 35.7). However, the rates of resulting injuries displayed a statistically significant difference (22.2 injuries per 100,00 LS patient travel, 95% confidence limits 11.0, 33.5, versus 1.5/100,000 for non-LS travel, 95% confidence limits −0.6, 3.5). While the majority of collisions (60.0%) occurred during patient-related travel, 35.6% occurred while the ambulance was available awaiting assignment, and 4.4% in a hospital parking lot. The majority of collisions were due to inattention, failure of on-coming traffic to yield, or unsafe parking; unsafe speed was an infrequent cause. Most crashes occurred during daylight, in dry weather, and involved another vehicle.

There is some elevated risk for collision and added injury during lights and siren travel compared to travel without LS. The causes for these collisions suggest that interventions designed to improve driver skills and increase citizen awareness of an approaching ambulance could help reduce the number of collisions.