Database Integration Correlates Street Crossing Design Strategies With Pedestrian Injury.

INTRODUCTION: Transportation databases have limited data regarding injury severity of pedestrian versus automobile patients. To identify opportunities to reduce injury severity, transportation and trauma databases were integrated to examine the differences in pedestrian injury severity at street crossings that were signalized crossings (SCs) versus nonsignalized crossings (NSCs). It was hypothesized that trauma database integration would enhance safety analysis and pedestrians struck at NSC would have greater injury severity. METHODS: Single-center retrospective review of all pedestrian versus automobile patients treated at a level 1 trauma center from 2014 to 2018 was performed. Patients were matched to the transportation database by name, gender, and crash date. Google Earth Pro satellite imagery was used to identify SC versus NSC. Injury severity of pedestrians struck at SC was compared to NSC. RESULTS: A total of 512 patients were matched (median age = 41 y [Q1 = 26, Q3 = 55], 74% male). Pedestrians struck at SC (n = 206) had a lower injury severity score (ISS) (median = 9 [4, 14] versus 17 [9, 26], P < 0.001), hospital length of stay (median = 3 [0, 7] versus 6 [1, 15] days, P < 0.001), and mortality (21 [10%] versus 52 [17%], P = 0.04), as compared to those struck at NSC (n = 306). The transportation database had a sensitivity of 63.4% (55.8%-70.4%) and specificity of 63.4% (57.7%-68.9%) for classifying severe injuries (ISS >15). CONCLUSIONS: Pedestrians struck at SC were correlated with a lower ISS and mortality compared to those at NSC. Linkage with the trauma database could increase the transportation database's accuracy of injury severity assessment for nonfatal injuries. Database integration can be used for evidence-based action plans to reduce pedestrian morbidity, such as increasing the number of SC.

Linkage of the Avon Longitudinal Study of Parents and Children (ALSPAC) to Avon & Somerset Police regional police records.

This data note describes a new resource for crime-related research: the Avon Longitudinal Study of Parents and Children (ALSPAC) linked to regional police records. The police data were provided by Avon & Somerset Police (A&SP), whose area of responsibility contains the ALSPAC recruitment area. In total, ALSPAC had permission to link to crime records for 12,662 of the 'study children' (now adults, who were born in the early 1990s).  The linkage took place in two stages: Stage 1 involved the ALSPAC Data Linkage Team establishing the linkage using personal identifiers common to both the ALSPAC participant database and A&SP records using deterministic and probabilistic methods. Stage 2 involved A&SP extracting attribute data on the matched individuals, removing personal identifiers and securely sharing the de-identified records with ALSPAC. The police data extraction took place in July 2021, when the participants were in their late 20s/early 30s. This data note contains details on the resulting linked police records available. In brief, electronic police records were available from 2007 onwards. In total, 1757 participants (14%) linked to at least one police record for a charge, offence 'taken into consideration', caution, or another out of court disposal. Linked participants had a total of 6413 records relating to 6283 offences. Almost three quarters of the linked participants were male. The most common offence types were violence against the person (22% of records), drug offences (19%), theft (17%) and public order offences (11%). This data note also details important issues that researchers using the local police data should be aware of, including the importance of defining an appropriate denominator, completeness, and biases affecting police records.

Effects of COVID-19 shutdowns on domestic violence in US cities.

We empirically investigate the impact of COVID-19 shutdowns on domestic violence using incident-level data on both domestic-related calls for service and crime reports of domestic violence assaults from the 18 major US police departments for which both types of records are available. Although we confirm prior reports of an increase in domestic calls for service at the start of the pandemic, we find that the increase preceded mandatory shutdowns, and there was an incremental decline following the government imposition of restrictions. We also find no evidence that domestic violence crimes increased. Rather, police reports of domestic violence assaults declined significantly during the initial shutdown period. There was no significant change in intimate partner homicides during shutdown months and victimization survey reports of intimate partner violence were lower. Our results fail to support claims that shutdowns increased domestic violence and suggest caution before drawing inference or basing policy solely on data from calls to police.

Police-reported pedestrian crash matching and injury severity misclassification by body region in New Mexico, USA.

Between 2009 and 2019, pedestrian fatalities in the U.S. increased 51.0% while all other traffic fatalities increased 0.4%. To mitigate pedestrian safety issues, practitioners increasingly use police-reported data to identify and treat locations that experience either serious or fatal injuries. We investigated how many and which types of pedestrian injuries were misclassified by police-reported data in New Mexico between 2014 and 2018 by matching pedestrian-vehicle crash victims reported in New Mexico Department of Transportation (NMDOT) crash data to patients treated at University of New Mexico Health-Science Center, an American College of Surgeons-certified level 1 trauma center (n = 3097 pedestrians in NMDOT data; n = 512 matched pedestrians). Findings suggest that injuries involving older pedestrians, males, alcohol, more serious injuries, and those that occur at night are more likely to match to the hospital data. Of the non-fatally injured pedestrians who police estimated as seriously-injured (n = 207), 21.7% were no more than minorly-injured (n = 45) (KABCO A and ISS < 9). Of pedestrians who police estimated as minorly-injured (n = 239), 55.6% were seriously-injured (n = 133) (KABCO B,C,O and ISS ≥ 9). Of pedestrians with true serious injuries (n = 295) (ISS ≥ 9), 45.1% were under-estimated by police (n = 133) (KABCO B,C,O and ISS ≥ 9) whereas 29.8% of pedestrians with true minor injuries (n = 151) (ISS < 9) were over-estimated by police (n = 45) (KABCO A and ISS < 9). Minorly-injured pedestrians who were over-estimated by police (KABCO A and ISS < 9) were more likely to have lower extremity injuries (62.2% vs 42.5%, p-value = 0.013) compared to minorly-injured pedestrians whose injury severities were estimated correctly (KABCO B,C,O and ISS < 9). Seriously-injured pedestrians who were under-estimated (KABCO B,C,O and ISS ≥ 9) were less likely to have injuries to the head (39.8% vs. 55.6%, p-value = 0.003), spine (30.1% vs. 50.0%, p-value < 0.001), thorax (53.4% vs. 66.7%, p-value = 0.0139), or abdomen (18.8% vs. 32.1%, p-value = 0.005) compared to seriously-injured pedestrians whose injury severities were estimated correctly (KABCO A and ISS ≥ 9). This research illustrates the importance of linking police and health outcome databases to provide a more complete understanding of traffic safety.

An Assessment of Officer-Involved Shooting Data Transparency in the United States.

Although researchers and the public intuitively know that the lack of available data on the topic of officer-involved shootings (OIS) is a problem, the scope of the problem has not been identified. A lack of transparency regarding OIS data contributes to the legitimacy crisis facing policing in the United States. Valid and reliable OIS data would create the ability to craft and assess informed public policy. In addition, police organizations' roles could then be evaluated allowing for accountability and additional training based on OIS incidents. Employing content analysis of websites for police agencies, their municipal/county governments, and sheriffs' offices servicing populations of 100,000 or more according to the 2010 U.S. Census, the availability of OIS data is identified and classified. It was found that 155 (of 277) police agencies and 96 (of 548) sheriffs' offices made some form of data available related to OIS incidents across five categories (annual reports, OIS summary reports, individualized shooting reports, press releases, and spreadsheet reports). The current assessment is the first in the literature to systematically evaluate the transparency of law enforcement organizations servicing large jurisdictions regarding OIS incidents. Those reports and data available are described and placed within the context of the recommended national database proposed by Klinger and colleagues to begin to assess the extent of OIS data transparency issues facing policing. In addition, agencies providing data were compared utilizing one-way analysis of variance on a number of structural variables drawn from the 2008 Census of State and Local Law Enforcement Agencies to evaluate any patterns demonstrated by those organizations providing data. Findings suggest great variation in the type, classification, and quality of data presented by law enforcement organizations, which limits its utility for the purposes of research as well as policy creation and evaluation.

Stalkers: Specialists Versus Generalists.

AbstractIt is known that many domestic violence (DV) offenders also commit violent and nonviolent offences that are not domestic in nature. Stalking frequently evolves from DV contexts. The present study used police data to explore (i) the extent to which stalking offenders in Western Australia specialize in stalking, (ii) the frequency of involvement in DV offending by stalking offenders, and (iii) the types of offences that co-occur with stalking offences. The dataset covered 404 individuals who were identified by the Western Australia Police Force as the offender for a stalking offence between January 1st, 2003 and July 30th, 2017. Only a minority of the offenders specialized in stalking, with the majority offending in other ways against the index victim and also offending against others via a broad range of offences. Although less than 10% were recorded as having carried out domestic assaults, more than half had broken restraining orders. Like DV offenders, the stalkers in this sample were largely generalist offenders. It was not clear, however, what proportion of offences against the same index victim were directly related to stalking. Stalking is a course of conduct that often involves individual acts that may be offences in themselves. What is clearer is the finding that for many stalkers, stalking forms part of a wider pattern of antisocial activity. Those stalkers who do not specialize in stalking may be less likely to benefit from intervention efforts that are focused solely on stalking.

Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods.

OBJECTIVES: Our goal is to understand the social dynamics affecting domestic and sexual violence in urban areas by investigating the role of connections between area nodes, or communities. We use innovative methods adapted from spatial statistics to investigate the importance of social proximity measured based on connectedness pathways between area nodes. In doing so, we seek to extend the standard treatment in the neighborhoods and crime literature of areas like census blocks as independent analytical units or as interdependent primarily due to geographic proximity. METHODS: In this paper, we develop techniques to incorporate two types of proximity, geographic proximity and commuting proximity in spatial generalized linear mixed models (SGLMM) in order to estimate domestic and sexual violence in Detroit, Michigan and Arlington County, Virginia. Analyses are based on three types of CAR models (the Besag, York, and Mollié (BYM), Leroux, and the sparse SGLMM models) and two types of SAR models (the spatial lag and spatial error models) to examine how results vary with different model assumptions. We use data from local and federal sources such as the Police Data Initiative and American Community Survey. RESULTS: Analyses show that incorporating information on commuting ties, a non-spatially bounded form of social proximity, to spatial models contributes to better deviance information criteria (DIC) scores (a metric which explicitly accounts for model fit and complexity) in Arlington for sexual and domestic crime as well as overall crime. In Detroit, the fit is improved only for overall crime. The distinctions in model fit are less pronounced when using cross-validated mean absolute error (MAE) as a comparison criteria. CONCLUSION: Overall, the results indicate variations across crime type, urban contexts, and modeling approaches. Nonetheless, in important contexts, commuting ties among neighborhoods are observed to greatly improve our understanding of urban crime. If such ties contribute to the transfer of norms, social support, resources, and behaviors between places, they may then transfer also the effects of crime prevention efforts.

Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study.

BACKGROUND: The New South Wales Police Force (NSWPF) records details of significant numbers of domestic violence (DV) events they attend each year as both structured quantitative data and unstructured free text. Accessing information contained in the free text such as the victim's and persons of interest (POI's) mental health status could be useful in the better management of DV events attended by the police and thus improve health, justice, and social outcomes. OBJECTIVE: The aim of this study is to present the prevalence of extracted mental illness mentions for POIs and victims in police-recorded DV events. METHODS: We applied a knowledge-driven text mining method to recognize mental illness mentions for victims and POIs from police-recorded DV events. RESULTS: In 416,441 police-recorded DV events with single POIs and single victims, we identified 64,587 events (15.51%) with at least one mental illness mention versus 4295 (1.03%) recorded in the structured fixed fields. Two-thirds (67,582/85,880, 78.69%) of mental illnesses were associated with POIs versus 21.30% (18,298/85,880) with victims; depression was the most common condition in both victims (2822/12,589, 22.42%) and POIs (7496/39,269, 19.01%). Mental illnesses were most common among POIs aged 0-14 years (623/1612, 38.65%) and in victims aged over 65 years (1227/22,873, 5.36%). CONCLUSIONS: A wealth of mental illness information exists within police-recorded DV events that can be extracted using text mining. The results showed mood-related illnesses were the most common in both victims and POIs. Further investigation is required to determine the reliability of the mental illness mentions against sources of diagnostic information.

Effects of a Risk-Based Licensing Scheme on the Incidence of Alcohol-Related Assault in Queensland, Australia: A Quasi-Experimental Evaluation.

: Amid concerns about increasing alcohol-related violence in licensed premises, Queensland introduced a system of risk-based licensing (RBL) in 2009, the first of five Australian jurisdictions to do so. Under RBL, annual license fees are supposed to reflect the risk of harm associated with the outlet's trading hours and record of compliance with liquor laws. The objective is to improve service and management practices thereby reducing patron intoxication and related problems. Using police data, we defined cases as assaults that occurred during so-called 'high-alcohol hours', and compared a pre-intervention period of 2004-2008 with the post-intervention period 2009-2014. We employed segmented linear regression, adjusting for year and time of assault (high vs. low alcohol hours), to model the incidence of (1) all assaults and (2) a subset that police indicated were related to drinking in licensed premises. We found a small decrease in all assaults (ß = -5 per 100,000 persons/year; 95% CI: 2, 9) but no significant change in the incidence of assault attributed to drinking in licensed premises (ß = -8; 95% CI: -18, 2). Accordingly, we concluded that the results do not support a hypothesis that RBL is effective in the prevention of harm from licensed premises. There may be value in trialing regulatory schemes with meaningful contingencies for non-compliance, and, in the meantime, implementing demonstrably effective strategies, such as trading hour restrictions, if the aim is to reduce alcohol-related violence.

Indicators for estimating trends in alcohol-related assault: evaluation using police data from Queensland, Australia.

Monitoring levels of alcohol-related harm in populations requires indicators that are robust to extraneous influence. We investigated the validity of an indicator for police-attributed alcohol-related assault. We summarized offence records from Queensland Police, investigated patterns of missing data, and considered the utility of a surrogate for alcohol-related assault. Of 242 107 assaults from 2004-2014, in 35% of cases the drug used by the offender was recorded as 'unknown'. Under various assumptions about non-random missingness the proportion of assaults judged to be alcohol-related varied from 30%-65%. We found a sharp increase in missing data from 2007 suggesting the downward trend from that point is artefactual. Conversely, we found a stable and increasing trend using a time-based surrogate. The volume of missing data and other limitations preclude valid estimation of trends using the police indicator, and demonstrate how misleading results can be produced. Our analysis supports the use of an empirically-based surrogate indicator.

Estimating road traffic injuries in Jinja district, Uganda, using the capture-recapture method.

Road traffic injuries (RTIs) are commonly under-reported in low-and-medium-income countries. This study aimed to estimate the number of RTIs and determine the magnitude of under-reporting by traffic police and hospital registries. A two-source capture-recapture method was applied to RTI data from police and hospital registries. Seven matching variables; sex of the injured, date, place, time, day of crash and road user type were used to get the matched cases. Police independently reported 46 RTIs and the hospitals reported 206 RTIs. Using the capture-recapture analysis, both sources estimated 313 RTIs (95% CI 273-343). The police registry captured 14.4% of the estimated number of RTIs and the hospitals captured 60.4%. The estimated number of RTIs was higher than reported by either the police or the hospitals alone. Neither the police nor the hospitals provided accurate data on RTIs, calling for the strengthening of both sources of data.

Evaluating the Effectiveness of Implementing a More Severe Drunk-Driving Law in China: Findings from Two Open Access Data Sources.

In 2011, China implemented a more severe drunk-driving law. This study evaluated the effectiveness of the law on road traffic morbidity and mortality attributed to alcohol use. Data were from two open-access data sources, the Global Burden of Disease (GBD) 2015 update and police data. Poisson regression examined the significance of changes in morbidity and mortality. Large gaps in crude death estimates from road traffic crashes attributed to alcohol use emerged between the two data sources. For the GBD 2015 update, crude and age-standardized mortality displayed consistent trends between 1990 and 2015; age-standardized mortality per 100,000 persons increased from 5.71 in 1990 to 7.48 in 2005 and then continuously decreased down to 5.94 in 2015. Police data showed a decrease for crude mortality per 100,000 persons from 0.29 in 2006 to 0.15 in 2010 and then an increase to 0.19 in 2015. We conclude available data are inadequate to determine the effectiveness of the implementation of the more severe drunk-driving law in China since the two data sources present highly inconsistent results. Further effort is needed to tackle data inconsistencies and obtain reliable and accurate data on road traffic injury attributable to alcohol use in China.

Sleep-related vehicle crashes on low speed roads.

BACKGROUND: Very little is known about the characteristics of sleep related (SR) crashes occurring on low speed roads compared with current understanding of the role of sleep in crashes occurring on high speed roads e.g. motorways. To address this gap, analyses were undertaken to identify the differences and similarities between (1) SR crashes occurring on roads with low (≤60km/h) and high (≥100km/h) speed limits, and (2) SR crashes and not-SR crashes occurring on roads with low speed limits. METHOD: Police reports of all crashes occurring on low and high speed roads over a ten year period between 2000 and 2009 were examined for Queensland, Australia. Attending police officers identified all crash attributes, including 'fatigue/fell asleep', which indicates that the police believe the crash to have a causal factor relating to falling asleep, sleepiness due to sleep loss, time of day, or fatigue. Driver or rider involvement in crashes was classified as SR or not-SR. All crash-associated variables were compared using Chi-square tests (Cramer's V=effect size). A series of logistic regression was performed, with driver and crash characteristics as predictors of crash category. A conservative alpha level of 0.001 determined statistical significance. RESULTS: There were 440,855 drivers or riders involved in a crash during this time; 6923 (1.6%) were attributed as SR. SR crashes on low speed roads have similar characteristics to those on high speed roads with young (16-24y) males consistently over represented. SR crashes on low speed roads are noticeably different to not-SR crashes in the same speed zone in that male and young novice drivers are over represented and outcomes are more severe. Of all the SR crashes identified, 41% occurred on low speed roads. CONCLUSION: SR crashes are not confined to high speed roads. Low speed SR crashes warrant specific investigation because they occur in densely populated areas, exposing a greater number of people to risk and have more severe outcomes than not-SR crashes on the same low speed roads.

Road traffic fatalities in oman from 1995 to 2009: evidence from police reports.

BACKGROUND: Fatalities from road traffic crashes (RTCs) are a public health challenge for low- and middle-income countries, especially those experiencing epidemiological transition. This paper aims to describe demographics and trend analysis of fatalities of RTCs in Oman from 1995 to 2009. METHODS: The RTC data from 1995 to 2009 were obtained from the published reports of the Royal Oman Police (ROP). Data were extracted on the distribution of deaths by age, sex, nationality, mode of travel (driver, passenger, pedestrians), and type of vehicle (four- vs. two-wheelers). Trend analyses were carried out using the Chi-square for the percentages of deaths and linear regression for rates. RESULTS: A total of 9,616 deaths from RTCs were reported from 1995 to 2009. Of 9,616 fatalities, 4,666 (48.5%) were aged 26-50 years, 7,927 (82.4%) were males, 7,215 (75.0%) were Omanis, and 2,278 (23.8%) were pedestrians. Overall, mortality increased by around 50% from 479 deaths during 1995 to 953 deaths during 2009. There was a significant increase in the proportion of deaths (P < 0.05) and death rates (P < 0.05) among individuals aged 26-50 years, males, Omani nationals, and drivers. The number and rate of RTC fatalities due to overspeeding was also increased (P < 0.05). CONCLUSIONS: Fatalities due to RTCs in Oman are increasing, especially among those aged 26-50 years, males, drivers, and Omani nationals with overspeeding as a major cause of road traffic fatalities. There is a need for more research in understanding the risk-taking behaviors of young drivers, and sociocultural factors, especially among Omani nationals to target interventions.