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      Cities with camera-equipped taxicabs experience reduced taxicab driver homicide rates: United States, 1996–2010

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          Abstract

          Background

          Driving a taxicab remains one of the most dangerous occupations in the United States, with leading homicide rates. Although safety equipment designed to reduce robberies exists, it is not clear what effect it has on reducing taxicab driver homicides.

          Findings

          Taxicab driver homicide crime reports for 1996 through 2010 were collected from 20 of the largest cities (>200,000) in the United States: 7 cities with cameras installed in cabs, 6 cities with partitions installed, and 7 cities with neither cameras nor partitions. Poisson regression modeling using generalized estimating equations provided city taxicab driver homicide rates while accounting for serial correlation and clustering of data within cities. Two separate models were constructed to compare (1) cities with cameras installed in taxicabs versus cities with neither cameras nor partitions and (2) cities with partitions installed in taxicabs versus cities with neither cameras nor partitions. Cities with cameras installed in cabs experienced a significant reduction in homicides after cameras were installed (adjRR = 0.11, CL 0.06-0.24) and compared to cities with neither cameras nor partitions (adjRR = 0.32, CL 0.15-0.67). Cities with partitions installed in taxicabs experienced a reduction in homicides (adjRR = 0.78, CL 0.41-1.47) compared to cities with neither cameras nor partitions, but it was not statistically significant.

          Conclusions

          The findings suggest cameras installed in taxicabs are highly effective in reducing homicides among taxicab drivers. Although not statistically significant, the findings suggest partitions installed in taxicabs may be effective.

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          Most cited references12

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          Continuous evaluation of evolving behavioral intervention technologies.

          Behavioral intervention technologies (BITs) are web-based and mobile interventions intended to support patients and consumers in changing behaviors related to health, mental health, and well-being. BITs are provided to patients and consumers in clinical care settings and commercial marketplaces, frequently with little or no evaluation. Current evaluation methods, including RCTs and implementation studies, can require years to validate an intervention. This timeline is fundamentally incompatible with the BIT environment, where technology advancement and changes in consumer expectations occur quickly, necessitating rapidly evolving interventions. However, BITs can routinely and iteratively collect data in a planned and strategic manner and generate evidence through systematic prospective analyses, thereby creating a system that can "learn." A methodologic framework, Continuous Evaluation of Evolving Behavioral Intervention Technologies (CEEBIT), is proposed that can support the evaluation of multiple BITs or evolving versions, eliminating those that demonstrate poorer outcomes, while allowing new BITs to be entered at any time. CEEBIT could be used to ensure the effectiveness of BITs provided through deployment platforms in clinical care organizations or BIT marketplaces. The features of CEEBIT are described, including criteria for the determination of inferiority, determination of BIT inclusion, methods of assigning consumers to BITs, definition of outcomes, and evaluation of the usefulness of the system. CEEBIT offers the potential to collapse initial evaluation and postmarketing surveillance, providing ongoing assurance of safety and efficacy to patients and consumers, payers, and policymakers. © 2013 American Journal of Preventive Medicine.
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            Situational crime prevention: Successful case studies

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              Trends in workplace homicides in the U.S., 1993–2002: A decade of decline

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                Author and article information

                Journal
                101667102
                44301
                Crime Sci
                Crime Sci
                Crime science
                2193-7680
                5 September 2015
                9 May 2014
                25 September 2015
                : 3
                : 4
                : 10.1186/s40163-014-0004-3
                Affiliations
                [1 ]Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Safety Research, 1095 Willowdale Road, MS 1811, Morgantown 26505, West Virginia.
                [2 ]University of Maryland, College Park, Maryland.
                [3 ]Aspen of DC, Inc, Morgantown, West Virginia.
                Author notes
                [* ] Correspondence: cmenendez@ 123456cdc.gov
                Article
                HHSPA718732
                10.1186/s40163-014-0004-3
                4583362
                9a3d73ca-73c2-4d70-bcd3-8bd8459bff6b

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

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                Categories
                Article

                taxicab driver homicides,workplace violence,public health,robberies,safety equipment,intervention,ecological study,generalized estimating equations,retrospective time series

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