ReviewAlcohol research : current reviews2014
Enhancing the Use of Vehicle Alcohol Interlocks With Emerging Technology.
Review in Alcohol research : current reviews, 2014. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 18 citations in OpenAlex.
- Convicted drinking and driving offenders: Comparing alcohol use before and after the pandemic outbreak.Alcoholism, clinical and experimental research · 2021Article
- Changes in Alcohol Use and Drinking and Driving Outcomes From Before Arrest for Driving Under the Influence to After Interlock Removal.Alcoholism, clinical and experimental research · 2021Article
- Typologies of Drivers Convicted of Driving Under the Influence of Alcohol as Predictors of Alcohol Ignition Interlock Performance.Alcoholism treatment quarterly · 2021Article
- CRIMINAL DETERRENCE: EVIDENCE FROM AN INDIVIDUAL-LEVEL ANALYSIS OF 24/7 SOBRIETY.Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management] · 2020Article
- Mandating Treatment Based on Interlock Performance: Evidence for Effectiveness.Alcoholism, clinical and experimental research · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Among the earliest applications of health technologies to a safety program was the development of blood alcohol content (BAC) tests for use in impaired-driving enforcement. This led to the development of miniature, highly accurate devices that officers could carry in their pockets. A natural extension of this technology was the vehicle alcohol interlock, which is used to reduce recidivism among drivers convicted of driving under the influence (DUI) by requiring them to install the devices (which will not allow someone with a positive BAC to drive) on their vehicles. While on the vehicle, interlocks have been shown to reduce recidivism by two-thirds. Use of these devices has been growing at the rate of 10 to 15 percent a year, and there currently are more than 300,000 units in use. This expansion in the application of interlocks has benefited from the integration of other emerging technologies into interlock systems. Such technologies include data systems that record both driver actions and vehicle responses, miniature cameras and face recognition to identify the user, Wi-Fi systems to provide rapid reporting on offender performance and any attempt to circumvent the device, GPS tracking of the vehicle, and more rapid means for monitoring the integrity of the interlock system. This article describes how these health technologies are being applied in interlock programs and the outlook for new technologies and new court sanctioning programs that may influence the growth in the use of interlocks in the future.
Indexed as
Identifiers
26259002PMC4432860W1138116117What OpenQuestion holds
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.