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Speed kills? Quantifying the association between police traffic stops, types of stops, and motor vehicle collisions.
Gasnick, Allison; Sarode, Anuja L; Badrinathan, Avanti; Ho, Vanessa P; Tisch, Daniel J; Towe, Christopher W.
Afiliação
  • Gasnick A; Case Western Reserve University School of Medicine, Cleveland, OH, United States.
  • Sarode AL; Research in Surgical Outcomes and Effectiveness, University Hospitals Cleveland Medical Center (UH-RISES), Cleveland, OH, United States.
  • Badrinathan A; Department of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, Cleveland, OH 44106-5011, United States.
  • Ho VP; Division of Trauma, Critical Care, Burns, and Acute Care Surgery, MetroHealth Medical Center, Cleveland, OH, United States; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States.
  • Tisch DJ; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States.
  • Towe CW; Department of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, Cleveland, OH 44106-5011, United States. Electronic address: christopher.towe@uhhospitals.org.
Injury ; 55(2): 111241, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38041924
ABSTRACT

BACKGROUND:

Motor vehicle crashes (MVCs) are a leading cause of traumatic death and injury. Police traffic stops (PTS) are a common approach to enforcing motor vehicle laws intended to prevent MVCs. However, it is unclear which types of PTS are most effective. This study examined the relationship of PTS subtypes among municipal police patrols on non-interstate roads and MVCs and MVC-related deaths.

METHODS:

PTS subtype data were characterized from six North Carolina cities Charlotte, Durham, Fayetteville, Greensboro, Raleigh, and Winston-Salem. The primary outcomes of this study were yearly non-interstate MVC and MVC-related death rates per 100 population. The data were analyzed as balanced time-series cross-sectional data. The statistical analysis accounted for time-dependent and city-dependent confounding. We used a two-way fixed effects model to analyze the relationship between PTS and MVC or MVC-related deaths. We also utilized the difference in difference (DID) analysis to analyze if the reduction of PTS following a 2012 policing administrative change in Fayetteville had an association with MVC or MVC-related deaths.

RESULTS:

We found no significant overall association between non-interstate PTS and MVCs (Coeff -0.00006; p = 0.43) or MVC-related deaths (Coeff -0.00011; p = 0.15). Panel regression suggested no significant relationship between MVCs and MVC-related deaths and PTS related to driving while impaired (p = 0.36), safe movement violation (p = 0.43), or seatbelt violations (p = 0.17). However, speed limit violations (Coeff -0.00025; p = 0.032) and stop-light/sign violations (Coeff -0.00147; p = 0.017) related to PTS significantly reduced MVC-related deaths. The DID regression showed no significant impact on MVCs (p = 0.924) or MVC-related deaths (0.706) before and after the police reform period.

CONCLUSIONS:

The evidence regarding the absence of an overall association and any association with most PTS subtypes suggest that PTS are not effective for MVC death prevention. Policymakers may proceed with exploring modifications to policing efforts without detriments to public safety as defined by MVC and MVC-related deaths. LEVEL OF EVIDENCE Retrospective epidemiological study, level IV.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidentes de Trânsito / Polícia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidentes de Trânsito / Polícia Idioma: En Ano de publicação: 2024 Tipo de documento: Article