2020
DOI: 10.1097/sla.0000000000003729
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A National Survey of Motor Vehicle Crashes Among General Surgery Residents

Abstract: Objectives:Evaluate the frequency of self-reported, post-call hazardous driving events in a national cohort of general surgery residents and determine the associations between duty hour policy violations, psychiatric well-being, and hazardous driving events.Summary of Background Data:MVCs are a leading cause of resident mortality. Extended work shifts and poor psychiatric well-being are risk factors for MVCs, placing general surgery residents at risk.Methods:General surgery residents from US programs were surv… Show more

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Cited by 2 publications
(3 citation statements)
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“…It was with great interest that we read the study "A National Survey of Motor Vehicle Crashes (MVC) Among General Surgical Residents." 1 In their survey, the authors identified that increases in duty hour violations were associated with an increased in hazardous driving events. The safety and wellbeing of surgical (and all) residents are of paramount importance, and this study clearly identifies a serious issue that has been long known but not widely spoken about.…”
Section: To the Editormentioning
confidence: 99%
“…It was with great interest that we read the study "A National Survey of Motor Vehicle Crashes (MVC) Among General Surgical Residents." 1 In their survey, the authors identified that increases in duty hour violations were associated with an increased in hazardous driving events. The safety and wellbeing of surgical (and all) residents are of paramount importance, and this study clearly identifies a serious issue that has been long known but not widely spoken about.…”
Section: To the Editormentioning
confidence: 99%
“…The rules for near-crash events are summarized from three aspects: (1) road: level roads (rules 9, 19, 22, 23, and 24), divided roads (median strip or barrier) (rule 3), roads with 2 to 7 lanes (rules 4, 11, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, and 25), and straight roads (rules 10, 20) are more likely to be associated with near-crash events. (2) Driver: middle-aged and older (rules 2,5,11,12,13,14,15,16,17,18,19,20,21,22,23,24, and 25) male (rule 13) participants with an estimated average annual mileage over five years of more than 15,000 miles (rules 6, 7, 8, 9, 10, 12, and 15) are more likely to be associated with near-crash events when they are performing secondary tasks (rules 8, 18, 21, and 25). Note that driver impairments (rules 7, 17, 23, 24, and 25), driver behavior (rules 12, 23), or unexpected events (rule 6) are not correlated with near-crash events.…”
Section: Model Performance and Descriptive Statistics Of Thementioning
confidence: 99%
“…Kreusslein et al [19] focused on the characteristics of mobile phone calls, including the call duration, glance behavior, call type, and mobile phone location, to determine the influence of making mobile phone calls. Schlick et al [20] used hierarchical regression models to determine the associations between motor vehicle crashes and different contributing factors.…”
Section: Introductionmentioning
confidence: 99%