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1.
JAMA Surg ; 156(8): 731-738, 2021 08 01.
Artigo em Inglês | MEDLINE | ID: mdl-34106241

RESUMO

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.


Assuntos
Acidentes de Trânsito/estatística & dados numéricos , Dirigir sob a Influência/estatística & dados numéricos , Meios de Transporte/estatística & dados numéricos , Ferimentos e Lesões/epidemiologia , Acidentes de Trânsito/prevenção & controle , Adulto , Dirigir sob a Influência/legislação & jurisprudência , Feminino , Humanos , Escala de Gravidade do Ferimento , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Ferramenta de Busca/estatística & dados numéricos , Estações do Ano , Texas/epidemiologia , Meios de Transporte/métodos , Adulto Jovem
2.
J Trauma ; 70(3): 527-34, 2011 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-21610339

RESUMO

BACKGROUND: Ethnic minorities and low income families tend to be in poorer health and have worse outcomes for a spectrum of diseases. Health care provider bias has been reported to potentially affect the distribution of care away from poorer communities, minorities, and patients with a history of substance abuse. Trauma is perceived as a disease of the poor and medically underserved. Minorities are overrepresented in low income populations and are also less likely to possess health insurance leading to a potential overlapping effect. Traumatic brain injury (TBI) is a predominant cause of mortality and long-term morbidity, which imposes a considerable social and financial burden. We therefore sought to determine the independent effect on outcome after TBI from race, insurance status, intoxication on presentation, and median income. METHODS: A 5-year retrospective chart review of admitted trauma patients aged 18 years and older to a Level I trauma center. Zip code of residency was a surrogate marker for socioeconomic status, because median income for each zip code is available from the US Census. Charts review included race, insurance status, mechanisms of trauma, and injuries sustained. Outcomes were placement of tracheostomy, hospital length of stay (HLOS), leaving Against Medical Advice (AMA), and discharge to home versus rehabilitation and mortality. RESULTS: A total of 3,101 TBI patients were included in the analyses. Multivariable logistic and proportional hazard regression analyses were undertaken adjusting for age, gender, Injury Severity Score, and mechanism. Rates of tracheostomy placement were unaffected by race, median income, or insurance status. Race and median income did not affect HLOS, but private insurance was associated with shorter HLOS and intoxication was associated with longer HLOS. Neither race nor intoxication affected rates of AMA, but higher income and private insurance was associated with lower rates of AMA. Non-Caucasian race and lack of insurance had significantly lower likelihood of placement in a rehabilitation center. Mortality was unaffected by race, increased in intoxicated patients, was variably affected by median income, and was lowest in patients with private insurance. CONCLUSIONS: An extremely complex interplay exists between socioethnic factors and outcomes after TBI. Few physicians would claim overt discrimination. Tracheostomy, the factor most directed by the surgeon, was unbiased by race, income, or insurance status. The likelihood of placement in a rehabilitation center was significantly impacted by both race and insurance status. Future prospective studies are needed to better address causation.


Assuntos
Lesões Encefálicas/etnologia , Lesões Encefálicas/terapia , Etnicidade/estatística & dados numéricos , Classe Social , Adolescente , Adulto , Lesões Encefálicas/mortalidade , Distribuição de Qui-Quadrado , Feminino , Humanos , Renda , Escala de Gravidade do Ferimento , Seguro Saúde/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Alta do Paciente/estatística & dados numéricos , Modelos de Riscos Proporcionais , Sistema de Registros , Centros de Reabilitação/estatística & dados numéricos , Estudos Retrospectivos , Fatores de Risco , Fatores Socioeconômicos , Traqueostomia/estatística & dados numéricos , Resultado do Tratamento , Recusa do Paciente ao Tratamento/estatística & dados numéricos
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