ArticleJAMA surgery2021
Association of Rideshare Use With Alcohol-Associated Motor Vehicle Crash Trauma.
Article in JAMA surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 22 citations in OpenAlex.
- Alcohol protective behavioral strategies for young adults: a content analysis across drinking contexts and gender.The American journal of drug and alcohol abuse · 2023Article
- Decision strategies while intoxicated relate to alcohol-impaired driving attitudes and intentions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022Article
- Ride-Hailing and Road Traffic Crashes: A Critical Review.American journal of epidemiology · 2022Review
- Associations Between Ridesharing and Motor Vehicle Crashes.JAMA surgery · 2022Article
- Treatment of Alcohol Use Problems Among Rural Populations: a Review of Barriers and Considerations for Increasing Access to Quality Care.Current addiction reports · 2022Review
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Importance: Motor vehicle crashes (MVCs) are an important public health concern. Recent trends suggest that introducing rideshare services has decreased the incidence of MVCs. However, detailed analyses linking rideshare volume, convictions for impaired driving, and nonfatal MVC traumas remain inconclusive. Objective: To determine if there is an association between rideshare use and MVC traumas and convictions for impaired driving in Houston, Texas. Design, Setting, and Participants: This multicenter cohort study was conducted between January 2007 and November 2019 with hospital data from the Red Duke Trauma Institute within the Memorial Hermann Hospital-Texas Medical Center and Ben Taub General Hospital. Rideshare data from Uber and Google covered trips taken within Houston, Texas, from February 2014 (the date of deployment of Uber to Houston) to December 2018. Impaired driving convictions included all indictments made by the Harris County, Texas, District Attorney's office from January 2007 to December 2018. All adults with MVC traumas evaluated at both centers in the study population (individuals >16 years with a mechanism of injury classified under "motor vehicle collision") were included. Impaired driving incidents were included only if the final legal outcome was conviction. Main Outcomes and Measures: The primary study outcomes were the incident rate ratios for hourly MVC traumas and daily impaired driving convictions. Results: A total of 23 491 MVC traumas (involving patients with a mean [SD] age of 37.9 [17.8] years and 14 603 male individuals [62.1%]), 93 742 impaired driving convictions, and more than 24 million Uber rides were analyzed. Following the introduction of Uber in February 2014, MVC traumas decreased by 23.8% (from a mean [SD] of 0.26 [0.04] to 0.21 [0.06] trauma incidents per hour) during peak trauma periods (Friday and Saturday nights). The incident rate ratio of MVC traumas following Uber deployment was 0.33 (95% CI, 0.17-0.67) per 1000 indexed rides (P = .002). Furthermore, rideshare use was associated with a significant, geographically linked reduction in impaired driving convictions between January 2014 to December 2019 (incidence rate ratio, 0.76 [95% CI, 0.73-0.78]; P < .001). Conclusions and Relevance: In this study, introducing rideshare services in the Houston metropolitan area was associated with significant reductions in MVC traumas and impaired driving convictions. Increased use of rideshares may be an effective means of reducing impaired driving and decreasing rate of MVC traumas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.