Search

Integrated programs for common mental illnesses are evidence-informed practices yet to be routinely implemented in Latin America. It synthesizes the literature on integrated programs for common mental illnesses (anxiety, depression, and posttraumatic stress disorder) in Latin American primary care and community settings. It maps program components (the 'what') to the collaborative care model core components and implementation strategies (the 'how') to the Expert Recommendations for Implementing Change (ERIC) taxonomy. Results from 18 programs across six countries (Belize, Brazil, Chile, Colombia, Mexico, Peru) show wide heterogeneity in component and strategy combinations. Overall, provider-level components and strategies were more common than family- or community-level ones. 'Team-based care' was the most commonly reported component, and 'family/user engagement' the least. The most common implementation strategy was 'supporting clinicians,' while 'changing infrastructure' was the least. Programs commonly addressed depression and only four followed experimental designs. We found limited evidence on the potential mechanisms of integrated program components and strategies., Competing Interests: Costigan, Elen: The author received $20,000 towards tuition to pursue a DrPH at Columbia University from Rosenfield Scholarship; the author was elected and served as a volunteer to the Board of Directors of Doctors Without Borders from May 2021 to 2024. Florence, Ana Carolina: The author received a contract for 10% of Dr Florence's effort from the University of Essex, Centre for Human Rights, Mental Health and Social Justice, Research Foundation for Mental Health Hygiene; a Policy Scholar Award for 10% of Dr. Florence's effort from the New York State Office of Mental Health, payments were made to the institution Research Foundation for Mental Hygiene. Other authors have no conflicts of interest to disclose related to this manuscript., (© 2024 The Author(s).)

Background: Poor mental health and adverse childhood experiences (ACEs) predict extensive adverse outcomes in youth, including increases in long-term risk for chronic disease and injury, impaired emotional development, and poor academic outcomes. Exposure to school violence, specifically intentional gun violence, is an increasingly prevalent ACE. The anticipation of school shootings has led to the implementation of school safety and security interventions that may increase anxiety, depression, and other indicators of poor mental well-being among students and staff alike. Despite this, the association between exposure to existing school safety interventions and early adolescent student mental health outcomes, while accounting for one's history of ACEs, has not been previously investigated., Objective: The study protocol described here aims to determine whether there is a significant difference in the prevalence of mental health outcomes, perceived school safety, and academic engagement between adolescent students (grades 6-12) at schools who have experienced a school shooting and those who have not; whether existing interventions to promote school safety and security are associated with poor mental health outcomes among students and school staff; and what the strength of the association between school safety interventions and mental health outcomes among students and teachers is in schools that have experienced a school shooting versus schools that have never experienced a school shooting., Methods: This observational study will collect cross-sectional survey data from a nationwide sample of students, teachers, and principals at 12 secondary public schools across the United States. The participants come from 6 randomly selected exposure schools that have either experienced a recent (<2 years ago) intentional school shooting or have experienced an intentional school shooting less recently (>2 years ago). Data from these schools are being directly compared with 6 secondary schools that have never experienced a school shooting., Results: Institutional review board approval for this research project was obtained and the study subsequently began its recruitment and data collection phase in January 2024. Data collection is currently ongoing and the expected completion date is January 2025. The analytic plan is designed to determine if the strength of the association between school safety interventions and mental health outcomes differs among students and school staff in schools with varying levels of school violence exposure. Analyses will be used to evaluate the role of ACEs on the relationships among exposure to an intentional school shooting, exposure to school safety strategies, and student outcomes (ie, mental health and well-being, perceptions of school safety, and educational outcomes)., Conclusions: The results from this study promise to generate meaningful and novel findings on the extent to which having a prior history of ACEs moderates the relationships among exposure to intentional school gun violence, school safety strategies, and student outcomes (ie, mental health and well-being, and perceptions of school safety)., Trial Registration: ClinicalTrials.gov NCT06153316; https://clinicaltrials.gov/study/NCT06153316., International Registered Report Identifier (irrid): DERR1-10.2196/56249., (©Sonali Rajan, Navjot Buttar, Zahra Ladhani, Jennifer Caruso, John P. Allegrante, Charles Branas. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 28.08.2024.)

Introduction: The out-of-hospital emergency medical service (EMS) care responses and the transport pathways to hospital play a vital role in patient survival following injury and are the first component of a well-functioning, optimised system of trauma care. Despite longstanding challenges in delivering equitable healthcare services in the health system of Aotearoa-New Zealand (NZ), little is known about inequities in EMS-delivered care and transport pathways to hospital-level care., Methods: This population-level cohort study on out-of-hospital care, based on national EMS data, included trauma patients <85 years in age who were injured in a road traffic crash (RTC). In this study we examined the combined relationship between ethnicity and geographical location of injury in EMS out-of-hospital care and transport pathways following RTCs in Aotearoa-NZ. Analyses were stratified by geographical location of injury (rural and urban) and combined ethnicity-geographical location (rural Māori, rural non-Māori, urban Māori, and urban non-Māori)., Results: In a two-year period, there were 746 eligible patients; of these, 692 were transported to hospital. Indigenous Māori comprised 28% (196) of vehicle occupants attended by EMS, while 47% (324) of patients' injuries occurred in a rural location. The EMS transport pathways to hospital for rural patients were slower to reach first hospital (total in slowest tertile of time 44% vs 7%, P  ≥ 0.001) and longer to reach definitive care (direct transport, 77% vs 87%, P  = 0.001) compared to urban patients. Māori patients injured in a rural location were comparatively less likely than rural non-Māori to be triaged to priority transport pathways (fastest dispatch triage, 92% vs 97%, respectively, P  = 0.05); slower to reach first hospital (total in slowest tertile of time, 55% vs 41%, P  = 0.02); and had less access to specialist trauma care (reached tertiary trauma hospital, 51% vs 73%, P  = 0.02)., Conclusion: Among RTC patients attended and transported by EMS in NZ, there was variability in out-of-hospital EMS transport pathways through to specialist trauma care, strongly patterned by location of incident and ethnicity. These findings, mirroring other health disparities for Māori, provide an equity-focused evidence base to guide clinical and policy decision makers to optimize the delivery of EMS care and reduce disparities associated with out-of-hospital EMS care., Competing Interests: Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. This project is funded by a Health Research Council of New Zealand project grant (HRC 18/465). There are no other conflicts of interest or sources of funding to declare.

Problem Research Strategy and Findings: The negative impact of vacant and abandoned housing in city neighborhoods is extreme, affecting health and quality of life, promoting violence, and leading to further abandonment. One approach to addressing abandoned housing is to intervene with low-cost interventions that provide a visual sense of ownership. We tested whether a low-cost remediation of abandoned and vacant houses or a trash cleanup intervention would make a noticeable difference in the levels of nearby disrepair, disorder, and public safety. The abandoned housing remediation and trash cleanup interventions were a test of compliance with municipal ordinances. We used an experimental design to test the causal effects of the ordinances, and because the scale of abandonment was too large to provide treatment to all abandoned houses in the city. We used systematic social observation methods to rate changes in disrepair, disorder, and litter at housing sites and on the city blocks they were located, and police reported data on gun violence and illegal substance uses. Our experimental design allowed us to see if observed disrepair, disorder, and public safety improved after working windows and doors were installed on abandoned houses compared with a trash cleanup around properties or a no-intervention control condition. Our results showed significant changes in observed disrepair, disorder, and gun violence and illustrate the benefits of experimental evaluations of place-based changes to the built environment., Takeaway for Practice: Improving compliance with ordinances to remediate abandoned housing can make a noticeable difference in disrepair in neighborhoods and contribute improved public safety. We illustrate how planners can use field experiments in partnership with city agencies, nonprofit community groups, and local universities to discover novel approaches to advance place-based changes to the built environment that can help economically disadvantaged communities abate problems of physical disorder.

Competing Interests: Conflict-of-Interest Disclosures: None to disclose.

Background: Smoke-free housing policies in multiunit housing are increasingly widespread interventions to reduce smoking and secondhand smoke exposure. Little research has identified factors that impede compliance with smoke-free housing policies in low-income multiunit housing and test corresponding solutions., Methods: We are using an experimental design to test two compliance support interventions: (A) a "compliance through reduction (via relocation and reduction in personal smoking) and cessation" intervention targets households with smokers and involves support to shift smoking practices to areas beyond the apartment or building setting, reduce personal smoking, and deliver in-residence smoking cessation support services via trained peer educators and (B) a "compliance through resident endorsement" intervention involving voluntary adoption of smoke-free living environments through personal pledges, visible door markers, and/or via social media. We will compare randomly sampled participants in buildings that receive A or B or A plus B to the NYCHA standard approach., Discussion: This RCT addresses key gaps in knowledge and capitalizes on key scientific opportunities by (1) leveraging the federal mandate to ban smoking in a public housing system of more than sufficient size to conduct an adequately powered RCT; (2) expanding our understanding of smoke-free policy compliance beyond policy implementation by testing two novel treatments: (a) in-residence smoking cessation and (b) resident endorsement, while (3) addressing population and location-specific tobacco-related disparities. At the conclusion of the study, this RCT will have leveraged a monumental policy shift affecting nearly half a million NYC public housing residents, many of whom disproportionately experience chronic illness and are more likely to smoke and be exposed to secondhand smoke than other city residents. This first-ever RCT will test the effects of much-needed compliance strategies on resident smoking behavior and secondhand smoke exposure in multiunit housing., Trial Registration: Clinical Trials Registered, NCT05016505. Registered on August 23, 2021., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Background and Aims: Both local socio-economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio-economic conditions., Design: Ecological county-level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county-years) using annual mortality data., Setting: United States., Cases: A total of 711 447 drug overdose deaths., Measurements: We modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio-economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue-collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing)., Findings: Drug overdose deaths and all substance-specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09-1.13], Rey index (aORs = 1.15-1.21) and prescription opioid supply (aORs = 1.14-1.21), and lower in counties with higher HDI scores (aORs = 0.75-0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties., Conclusions: In the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths., (© 2023 Society for the Study of Addiction.)

The purpose of this study was to develop and test the reliability and validity of a 13-item self-report Assessment of Sleep Environment (ASE). This study investigates the relationship between subjective experiences of environmental factors (light, temperature, safety, noise, comfort, humidity, and smell) and sleep-related parameters (insomnia symptoms, sleep quality, daytime sleepiness, and control over sleep). The ASE was developed using an iterative process, including literature searches for item generation, qualitative feedback, and pilot testing. It was psychometrically assessed using data from the Sleep and Healthy Activity Diet Environment and Socialization (SHADES) study (N = 1007 individuals ages 22-60). Reliability was determined with an internal consistency and factor analysis. Validity was evaluated by comparing ASE to questionnaires of insomnia severity, sleep quality, daytime sleepiness, sleep control, perceived stress, and neighborhood disorder. The ASE demonstrated high internal consistency and likely reflects a single factor. ASE score was associated with insomnia symptoms (B = 0.09, p < 0.0001), sleep quality (B = 0.07, p < 0.0001), and sleep control (B = -0.01, p < 0.0001), but not daytime sleepiness. The ASE was also associated with perceived stress (B = 0.20, p < 0.0001) and neighborhood disorder (B = -0.01, p < 0.0001). Among sleep environment factors, only smell was not associated with sleep quality; warmth and safety were negatively associated with sleepiness; and of the sleep environment factors, only light/dark, noise/quiet, and temperature (warm/cool) were not associated with insomnia symptoms. The ASE is a reliable and valid measure of sleep environment. Physical environment (light, temperature, safety, noise, comfort, humidity, and smell) was associated with insomnia symptoms and sleep quality but not sleepiness.

Background: Substance-related interactions with the criminal justice system are a potential touchpoint to identify people at risk for firearm violence. We used an agent-based model to simulate the change in firearm violence after disqualifying people from owning a firearm given prior alcohol- and drug-related misdemeanors., Methods: We created a population of 800,000 agents reflecting a 15% sample of the adult New York City population., Results: Disqualification from purchasing firearms for 5 years after an alcohol-related misdemeanor conviction reduced population-level rates of firearm homicide by 1.0% [95% CI 0.4-1.6%] and suicide by 3.0% [95% CI 1.9-4.0%]. Disqualification based on a drug-related misdemeanor conviction reduced homicide by 1.6% [95% CI 1.1-2.2%] and suicide by 4.6% [95% CI 3.4-5.8%]. Reductions were generally 2 to 8 times larger for agents meeting the disqualification criteria., Conclusions: Denying firearm access based on a history of drug and alcohol misdemeanors may reduce firearm violence among the high-risk group. Enactment of substance use-related firearms denial criteria needs to be balanced against concerns about introducing new sources of disenfranchisement among already vulnerable populations., (© 2022. The Author(s).)

In response to the coronavirus disease-19 (COVID-19) pandemic, numerous institutions published COVID-19 dashboards for reporting epidemiological statistics at the county, state, or national level. However, statistics for smaller cities were often not reported, requiring these areas to develop their own data processing pipelines. For under-resourced departments of health, the development of these pipelines was challenging, leading them to rely on nonspecific and often delayed infection statistics during the pandemic. To avoid this issue, the Stamford, Connecticut Department of Health (SDH) contracted with the Columbia Mailman School of Public Health to develop an online dashboard that displays real-time case, death, test, vaccination, hospitalization, and forecast data for their city, allowing SDH to monitor trends for specific demographic and geographic groups. Insights from the dashboard allowed SDH to initiate timely and targeted testing/vaccination campaigns. The dashboard is widely used and highlights the benefit of public-academic partnerships in public health, especially during the COVID-19 pandemic., (© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Studies estimate that 84% of the USA and New Zealand's (NZ) resident populations have timely access (within 60 min) to advanced-level hospital care. Our aim was to assess whether usual residence (ie, home address) is a suitable proxy for location of injury incidence. In this observational study, injury fatalities registered in NZ's Mortality Collection during 2008-2012 were linked to Coronial files. Estimated access times via emergency medical services were calculated using locations of incident and home. Using incident locations, 73% (n=4445/6104) had timely access to care compared with 77% when using home location. Access calculations using patients' home locations overestimated timely access, especially for those injured in industrial/construction areas (18%; 95% CI 6% to 29%) and from drowning (14%; 95% CI 7% to 22%). When considering timely access to definitive care, using the location of the injury as the origin provides important information for health system planning., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Cervical artery dissection (CeAD) is a leading cause of stroke in young adults. Incidence estimates may be limited by under- or overdiagnosis., Objective: We aimed to investigate if CeAD diagnosis would be higher in urban centers compared to rural regions of New York State (NYS)., Methods: For this ecological study, administrative codes were used to identify CeAD discharges in the NYS Statewide Planning and Research Cooperative System (SPARCS) from 2009 to 2014. Rural Urban Commuting Area (RUCA) codes were taken from the US Department of Agriculture and included the classifications metropolitan, micropolitan, small town, and rural. Negative binomial models were used to calculate effect estimates and 95% confidence limits (eβ; 95% CL) for the association between RUCA classification and the number of dissections per ZIP code. Models were further adjusted by population., Results: Population information was obtained from the US Census Bureau on 1,797 NYS ZIP codes (70.7% of NYS ZIP codes), 826 of which had at least 1 CeAD-related discharge from 2009 to 2014. Nonrural ZIP codes were more likely to report more CeAD cases relative to rural areas even after adjusting for population (metropolitan effect = eβ 5.00; 95% CI: 3.75-6.66; micropolitan effect 3.02; 95% CI: 2.16-4.23; small town effect 2.34; 95% CI: 1.58-3.47)., Conclusions: CeAD diagnosis correlates with population density as defined by rural-urban status. Our results could be due to underdiagnosis in rural areas or overdiagnosis with increasing urbanicity., (© 2022 S. Karger AG, Basel.)

Background: Injury is a leading cause of death and health loss in New Zealand and internationally. The potentially fatal or severe consequences of many injuries can be reduced through an optimally structured prehospital trauma care system that can provide timely and appropriate care., Objective: To investigate the relationship between emergency medical services (EMS) care and survival to hospital for major trauma cases in New Zealand., Methods: This project is a retrospective cohort study of New Zealand major trauma cases attended by EMS providers over a 2-year period. Outcomes include survival to hospital and survival in hospital for at least 24 hours. The project has three phases: (1) identification of the cohort and assembling a bespoke longitudinal dataset linking EMS, New Zealand Major Trauma Registry and Coronial data; (2) describing the pathways and processes of care to inform an investigation of the relationships between types of EMS care and survival using propensity score modelling to adjust for case-mix differences; (3) assessment of the implications for future practice, policy and research., Discussion: The study findings will help identify opportunities to optimise the delivery of EMS care in New Zealand by informing the development or revision of existing major trauma EMS policies and guidelines, and to provide a baseline for monitoring the impact of future initiatives. Establishing an evidence-base will support a whole-of-system appraisal that could include broader complex variables relating to healthcare services throughout the continuum of trauma care., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Of the five million injury deaths that occur globally each year, an estimated 70% occur before the injured person reaches hospital. Although reducing the time from injury to definitive care has been shown to achieve better outcomes for patients, the relationship between injury incident location and access to specialist care has been largely unexplored., Objective: To determine the number and distribution of prehospital (on-scene/en route) trauma deaths without timely access to a hospital with surgical and intensive care capabilities, overall and by estimated injury survivability., Methods: New Zealand's Mortality Collection and Hospital Discharge dataset were used to select prehospital injury deaths in 2009-2012. These records were linked to files held by Australasia's National Coronial Information Service (NCIS) to estimate, for the trauma subset, injury survivability. Using geographical locations of injury for the prehospital trauma fatalities, time from Emergency Medical System call-out to arrival at the closest specialist hospital was estimated., Results: Of 1,752 prehospital trauma fatalities, 14.7% (95%CI 13.0, 16.4) had potentially survivable injuries that occurred in locations without timely access (prehospital phase >60 minutes). More than half (132 of 257) of the potentially survivable prehospital trauma fatalities without timely access died as a result of a motor vehicle traffic crash. Only 10% (95%CI 5.7, 16.0) of prehospital trauma fatalities from falls were estimated to be potentially survivable and without timely access compared to 24.6% (95%CI 18.5, 31.5) of prehospital firearm fatalities. Through using geospatial techniques, "hot spot" locations of potentially survivable injuries without timely access to specialist major trauma hospitals were apparent., Conclusion: Approximately 15% of prehospital trauma fatalities in New Zealand that are potentially survivable occur in locations without timely access to advanced level hospital care. Continued emphasis is required on both improving timely access to advanced trauma care, and on primary prevention of serious injuries. Decisions regarding trauma service delivery, a modifiable system-level factor, should consider the geographic distribution of locations of these injury events alongside the resident population distribution., Competing Interests: Declaration of Competing Interest The authors report no conflict of interest., (Copyright © 2021. Published by Elsevier Ltd.)

Background: Although alcohol breath testing devices that pair with smartphones are promoted for the prevention of alcohol-impaired driving, their accuracy has not been established., Methods: In a within-subjects laboratory study, we administered weight-based doses of ethanol to two groups of 10 healthy, moderate drinkers aiming to achieve a target peak blood alcohol concentration (BAC) of 0.10%. We obtained a peak phlebotomy BAC and measured breath alcohol concentration (BrAC) with a police-grade device (Intoxilyzer 240) and two randomly ordered series of 3 consumer smartphone-paired devices (6 total devices) with measurements every 20 min until the BrAC reached <0.02% on the police device. Ten participants tested the first 3 devices, and the other 10 participants tested the other 3 devices. We measured mean paired differences in BrAC with 95% confidence intervals between the police-grade device and consumer devices., Results: The enrolled sample (N = 20) included 11 females; 15 white, 3 Asian, and 2 Black participants; with a mean age of 27 and mean BMI of 24.6. Peak BACs ranged from 0.06-0.14%. All 7 devices underestimated BAC by >0.01%, though the BACtrack Mobile Pro and police-grade device were consistently more accurate than the Drinkmate and Evoc. Compared with the police-grade device measurements, the BACtrack Mobile Pro readings were consistently higher, the BACtrack Vio and Alcohoot measurements similar, and the Floome, Drinkmake, and Evoc consistently lower. The BACtrack Mobile Pro and Alcohoot were most sensitive in detecting BAC driving limit thresholds, while the Drinkmate and Evoc devices failed to detect BAC limit thresholds more than 50% of the time relative to the police-grade device., Conclusions: The accuracy of smartphone-paired devices varied widely in this laboratory study of healthy participants. Although some devices are suitable for clinical and research purposes, others underestimated BAC, creating the potential to mislead intoxicated users into thinking that they are fit to drive., (© 2021 by the Research Society on Alcoholism.)

Objective: Insomnia is a clinically verified nicotine withdrawal symptom. As nicotine is a stimulant, it is plausible that smoking at night could disturb sleep more than smoking at earlier times of the day, but this remains empirically unclear. This study examined smoking status and its associations with insomnia severity and sleep duration while considering the potential role of smoking time., Methods: Data were derived from the Sleep and Healthy Activity Diet Environment and Socialization study, a community-based study of 1007 adults (n nonsmokers  = 818; n smokers  = 189) aged 22-60 from the Philadelphia area. Smoking status and time of smoking were self-reported. Insomnia was assessed with the Insomnia Severity Index and categorized as none, mild, and moderate-to-severe. Sleep duration was assessed with one item from the National Health and Nutrition Examination Survey and categorized as very short, short, normal, and long. Ordinal and multinomial logistic regressions were used to determine the association of smoking status including smoking time with insomnia severity and sleep duration controlling for sociodemographic covariates., Results: Compared to nonsmoking, smoking was associated with experiencing increased insomnia (odds ratio = 2.5, 95% confidence interval [CI] 1.9, 3.4, P < .001) as well as very short (relative risk ratio = 1.9, 95% CI 1.1, 3.3) and short (relative risk ratio = 1.5, 95% CI 1.0, 2.3) sleep (vs normal sleep duration). Night-time smoking was significantly associated with greater insomnia and shorter sleep duration., Conclusions: Findings provide evidence that smoking is associated with increased insomnia severity and shorter sleep duration, particularly nightly smoking. Sleep health should be considered in smoking cessation efforts., (Copyright © 2020 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Objectives: The objective of the present study is to identify which underlying beliefs about the impact of sleep on health may motivate change in sleep behavior., Design: A cross-sectional study conducted between 2012 and 2014., Setting: Data were from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study conducted in Philadelphia, PA, and its surrounding regions., Participants: Participants consisted of N = 1007 community-dwelling adults age 22-60., Measurements: Respondents indicated behaviors they could improve on to facilitate sleep and their corresponding readiness to change. They were also asked items from the Sleep Practices and Attitudes Questionnaire (SPAQ) regarding the degree to which they agree with whether "not getting enough sleep" can impact a variety of health factors., Results: In adjusted analyses, stage of change was associated with degree of agreement that insufficient sleep can cause sleepiness (odds ratio [OR] = 1.17, P = .035), weight gain (OR = 1.20, P < .0005), heart disease (OR = 1.21, P = .001), cholesterol (OR = 1.13, P = .047), hypertension (OR = 1.16, P = .014), moodiness (OR = 1.42, P < .0005), decreased energy (OR = 1.30, P = .002), absenteeism (OR = 1.13, P = .007), decreased performance (OR = 1.20, P = .003), concentration/memory problems (OR = 1.23, P = .004), diabetes (OR = 1.14, P = .042), and feeling tired (OR = 1.39, P < .0005). When sleep duration was added to the model, significant associations remained for all except cholesterol. When accounting for insomnia, significant associations were maintained for only weight, moodiness, performance, diabetes, and tiredness., Conclusions: Degree of belief that insufficient sleep can cause outcomes such as moodiness, occupational problems, and health problems may impact whether an individual is contemplating/attempting to change their sleep-related behaviors. Targeting these key messages about the associations between sleep health with moodiness and weight gain in informational material may enhance education/outreach efforts aimed at adults., (Copyright © 2020 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Objective: Lack of control over sleep may contribute to population-level sleep disturbances, yet relatively little work has explored the degree to which an individual's sense of control over their sleep may represent an important factor., Methods: Data from the Sleep and Healthy Activity Diet Environment and Socialization (SHADES) study, conducted in the Philadelphia area on a population comprising 1,007 individuals aged 22-60 years, was used. The BRief Index of Sleep Control (BRISC) was developed to quantify the degree to which an individual has control over their sleep. Reliability of the BRISC was assessed using Cronbach's alpha. Convergent validity was assessed by examining age-adjusted items and total score relationships to insomnia (ISI), sleepiness (ESS), sleep quality (PSQI), and total sleep time (NHANES)., Results: After adjustment for covariates, greater control over sleep was associated with a lower PSQI score (B = -2.2, 95% CI [-2.4,-2.0], P < .0001), lower ISI score (B = -3.1, 95% CI [-3.5,-2.7], P < .0001), lower ESS score (B=-1.4, 95% CI [-1.7,-1.1], P < .0001), and more hours of sleep duration (B = 0.5, 95% CI [0.4,0.6], P < .0001). Each BRISC item was separately associated with each sleep outcome (P < .0001), although the items were not collinear with each other (all R<0.7). Thus, the BRISC instrument demonstrated high reliability and good validity., Conclusions: Control over sleep may represent an important factor in sleep health. Control over time to bed, time awake, sleep duration, and sleep quality are all related to sleep outcomes and assessment of these constructs may be useful for future sleep interventions., (Copyright © 2020 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Introduction: Acknowledging a notable gap in available evidence, this study aimed to assess the survivability of prehospital injury deaths in New Zealand., Methods: A cross-sectional review of prehospital injury death postmortems (PM) undertaken during 2009-2012. Deaths without physical injuries (eg, drownings, suffocations, poisonings), where there was an incomplete body, or insufficient information in the PM, were excluded. Documented injuries were scored using the AIS and an ISS derived. Cases were classified as survivable (ISS <25), potentially survivable (ISS 25-49) and non-survivable (ISS >49)., Results: Of the 1796 cases able to be ISS scored, 11% (n=193) had injuries classified as survivable, 28% (n=501) potentially survivable and 61% (n=1102) non-survivable. There were significant differences in survivability by age (p=0.017) and intent (p<0.0001). No difference in survivability was observed by sex, ethnicity, day of week, seasonality or distance to advanced-level hospital care. 'Non-survivable' injuries occurred more commonly among those with multiple injuries, transport-related injuries and aged 15-29 year. The majority of 'survivable' cases were deceased when found. Among those alive when found, around half had received either emergency medical services (EMS) or bystander care. One in five survivable cases were classified as having delays in receiving care., Discussion: In New Zealand, the majority of injured people who die before reaching hospital do so from non-survivable injuries. More than one third have either survivable or potentially survivable injuries, suggesting an increased need for appropriate bystander first aid, timeliness of EMS care and access to advanced-level hospital care., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Sleep disturbances, such as short sleep duration and insomnia, are core features of depression. However, it is unclear if sleep duration and insomnia have an interactive effect on depression severity or individual symptoms. Data were drawn from a community sample ( N = 1007) containing responses on the Insomnia Severity Index, Patient Health Questionnaire-9 (PHQ-9), and average sleep duration. Regression analyses determined the prevalence risks (PR) of symptoms of depression based on insomnia severity and sleep duration. Depression severity was related to insomnia severity (PR 1.09, p < 0.001) and short sleep duration (PR 1.52, p < 0.001), but the interaction between the two was negative (PR 0.97, p < 0.001). Insomnia severity increased the prevalence risk of all individual depression symptoms between 8 and 15%, while sleep duration increased the prevalence risk of appetite dysregulation (PR 1.86, p < 0.001), fatigue (PR 1.51, p < 0.001), difficulty concentrating (PR 1.61, p = 0.003), feelings of failure (PR 1.58, p = 0.002), and suicidal behavior (PR 2.54, p = 0.01). The interaction of sleep duration and insomnia was negative and ranged between 3 and 6%. In clinically significant depression (PHQ >=10), only insomnia severity increased the prevalence risk of depression severity (PR 1.02, p = 0.001). Insomnia and short sleep predict prevalent depression, but their interactive effect was negative. Thus, while insomnia had a greater association with depression severity and symptoms, this association was dependent on habitual sleep duration., Competing Interests: Conflict of interest On behalf of all authors, the corresponding author states that there is no conflict of interest.

Importance: Firearm injuries are the second leading cause of death among US children and adolescents. Because of the lack of resources allocated to firearm injury prevention during the past 25 years, research has lagged behind other areas of injury prevention. Identifying timely and important research questions regarding firearm injury prevention is a critical step for reducing pediatric mortality., Objective: The Firearm Safety Among Children and Teens (FACTS) Consortium, a National Institute for Child Health and Human Development-funded group of scientists and stakeholders, was formed in 2017 to develop research resources for the field, including a pediatric-specific research agenda for firearm injury prevention to assist future researchers and funders, as well as to inform cross-disciplinary evidence-based research on this critical injury prevention topic., Evidence Review: A nominal group technique process was used, including 4 key steps (idea generation, round-robin, clarification, and voting and consensus). During idea generation, stakeholders and workgroups generated initial research agenda topics after conducting scoping reviews of the literature to identify existing gaps in knowledge. Agenda topics were refined through 6 rounds of discussion and survey feedback (ie, round-robin, and clarification steps). Final voting (using a 5-point Likert scale) was conducted to achieve consensus (≥70% of consortium ranking items at 4 or 5 priority for inclusion) around key research priorities for the next 5 years of research in this field. Final agenda questions were reviewed by both the stakeholder group and an external panel of research experts not affiliated with the FACTS Consortium. Feedback was integrated and the final set of agenda items was ratified by the entire FACTS Consortium., Findings: Overall, 26 priority agenda items with examples of specific research questions were identified across 5 major thematic areas, including epidemiology and risk and protective factors, primary prevention, secondary prevention and sequelae, cross-cutting prevention factors, policy, and data enhancement., Conclusions and Relevance: These priority agenda items, when taken together, define a comprehensive pediatric-specific firearm injury prevention research agenda that will guide research resource allocation within this field during the next 5 years.

Objective: Rapid access to advanced emergency medical and trauma care has been shown to significantly reduce mortality and disability. This study aims to systematically examine geographical access to prehospital care provided by emergency medical services (EMS) and advanced-level hospital care, for the smallest geographical units used in New Zealand and explores national disparities in geographical access to these services., Design: Observational study involving geospatial analysis estimating population access to EMS and advanced-level hospital care., Setting: Population access to advanced-level hospital care via road and air EMS across New Zealand., Participants: New Zealand population usually resident within geographical census meshblocks., Primary and Secondary Outcome Measures: The proportion of the resident population with calculated EMS access to advanced-level hospital care within 60 min was examined by age, sex, ethnicity, level of deprivation and population density to identify disparities in geographical access., Results: An estimated 16% of the New Zealand population does not have timely EMS access to advanced-level hospital care via road or air. The 700 000 New Zealanders without timely access lived mostly in areas of low-moderate population density. Indigenous Māori, New Zealand European and older New Zealanders were less likely to have timely access., Conclusions: These findings suggest that in New Zealand, geographically marginalised groups which tend to be rural and remote communities with disproportionately more indigenous Māori and older adults have poorer EMS access to advanced-level hospitals. Addressing these inequities in rapid access to medical care may lead to improvements in survival that have been documented for people who experience medical or surgical emergencies., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: To determine the influence of individual and neighborhood factors that combined are associated with asthma and diabetes in a sample of urban Philadelphians using data mining, a novel technique in public health research., Methods: We obtained secondary data collected between May 2011 and November 2014 on individual's health and perception of neighborhood characteristics (N = 450) and Philadelphia LandCare Program data that provided relevant environmental data for the analysis (N = 676). RapidMiner open access data mining software was used to perform decision tree analyses., Results: Individual- and neighborhood-level environmental factors were intricately related in the decision tree models, having varying influence on the outcomes of asthma and diabetes. The decision trees had high specificity (95-100) and classified factors that were associated with an absence of disease (diabetes/asthma)., Conclusion: Improved neighborhood-level conditions related to social and physical disorder were consistently found to be associated with an absence of both asthma and diabetes in this urban population., Policy Implications: This study illustrates the potential utility of applying data mining techniques for understanding complex public health issues., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: Non-fatal firearm injuries constitute approximately 70% of all firearm trauma injuries in the United States. Patterns of severity of these injuries are poorly understood. We analyzed the overall, age-, sex- and intent-specific temporal trends in the injury severity of firearm hospitalizations from 1993 to 2014., Methods: We assessed temporal trends in the severity of patients hospitalized for firearm using Nationwide Inpatient Sample (NIS) data over a 22 year period. Firearm hospitalization was identified using assault (E965x), unintentional (E922x), intentional self-harm (E955x), legal (E970) and undetermined (E985x) International Classification of Diseases, Ninth Revision, Clinical Modification (ICD9) codes. Injury severity was measured using the computed New Injury Severity Score (NISS). We used survey weighted means, SD and annual percent change (APC), and joinpoint regression to analyze temporal trends., Results: A weighted total of 648 662 inpatient admissions for firearm injury were analyzed. Firearm injury severity demonstrated a significant annual increase of 1.4% (95% CI=1.3 to 1.6), and was driven by annual increases among young adults (APC=1.4%, 95% CI=1.3 to 1.5), older adults (APC=1.5%, 95% CI=1.3 to 1.6), female (APC=1.5%, 95% CI=1.3 to 1.6) and male (APC=1.4%, 95% CI=1.3 to 1.6) hospitalizations. The annual increase among assault/legal injuries was 1.4% (95% CI=1.3 to 1.5), similar to unintentional (APC=1.4%, 95% CI=1.3 to 1.6), intentional self-harm (APC=1.5%, 95% CI=1.4 to 1.6) and undetermined (APC=1.4%, 95% CI=1.3 to 1.6)., Conclusions: The severity of hospitalized firearm injuries increased significantly from 1993 to 2014. This annual increase reflects a move towards hospitalization of more serious injuries, and outpatient management of less serious injuries across the board, suggesting a mounting burden on the US healthcare system., Level of Evidence: Level IV., Competing Interests: Competing interests: None declared.

The Youngstown Neighborhood Development Corporation initiated a 'Lots of Green' programme to reuse vacant land in 2010. We performed a difference-in-differences analysis of the effects of this programme on crime in and around newly treated lots, in comparison to crimes in and around randomly selected and matched, untreated vacant lot controls. The effects of two types of vacant lot treatments on crime were tested: a cleaning and greening 'stabilisation' treatment and a 'community reuse' treatment mostly involving community gardens. The combined effects of both types of vacant lot treatments were also tested. After adjustment for various sociodemographic factors, linear and Poisson regression models demonstrated statistically significant reductions in all crime classes for at least one lot treatment type. Regression models adjusted for spatial autocorrelation found the most consistent significant reductions in burglaries around stabilisation lots, and in assaults around community reuse lots. Spill-over crime reduction effects were found in contiguous areas around newly treated lots. Significant increases in motor vehicle thefts around both types of lots were also found after they had been greened. Community-initiated vacant lot greening may have a greater impact on reducing more serious, violent crimes.

Background: Leukocyte telomere length(LTL) has been associated with age, self-reported race/ethnicity, gender, education, and psychosocial factors, including perceived stress, and depression. However, inconsistencies in associations of LTL with disease and other phenotypes exist across studies. Population characteristics, including race/ethnicity, laboratory methods, and statistical approaches in LTL have not been comprehensively studied and could explain inconsistent LTL associations., Methods: LTL was measured using Southern Blot in 1510 participants from a multi-ethnic, multi-center study combining data from 3 centers with different population characteristics and laboratory processing methods. Main associations between LTL and psychosocial factors and LTL and race/ethnicity were evaluated and then compared across generalized estimating equations(GEE) and linear regression models. Statistical models were adjusted for factors typically associated with LTL(age, gender, cancer status) and also accounted for factors related to center differences, including laboratory methods(i.e., DNA extraction). Associations between LTL and psychosocial factors were also evaluated within race/ethnicity subgroups (Non-hispanic Whites, African Americans, and Hispanics)., Results: Beyond adjustment for age, gender, and cancer status, additional adjustments for DNA extraction and clustering by center were needed given their effects on LTL measurements. In adjusted GEE models, longer LTL was associated with African American race (Beta(β)(standard error(SE)) = 0.09(0.04), p-value = 0.04) and Hispanic ethnicity (β(SE) = 0.06(0.01), p-value = 0.02) compared to Non-Hispanic Whites. Longer LTL was also associated with less than a high school education compared to having greater than a high school education (β(SE) = 0.06(0.02), p-value = 0.04). LTL was inversely related to perceived stress (β(SE) = -0.02(0.003), p<0.001). In subgroup analyses, there was a negative association with LTL in African Americans with a high school education versus those with greater than a high school education(β(SE) = -0.11(0.03), p-value<0.001)., Conclusions: Laboratory methods and population characteristics that differ by center can influence telomere length associations in multicenter settings, but these effects could be addressed through statistical adjustments. Proper evaluation of potential sources of bias can allow for combined multicenter analyses and may resolve some inconsistencies in reporting of LTL associations. Further, biologic effects on LTL may differ under certain psychosocial and racial/ethnic circumstances and could impact future health disparity studies.

Introduction: Insufficient sleep is associated with cardiometabolic risk and neurocognitive impairment. Determinants of insufficient sleep include many social and environmental factors. Assessment of geographic hot/coldspots may uncover novel risk groups and/or targets for public health intervention. The aim of this study was to discern geographic patterns in the first data set to include county-level sleep data., Methods: The 2009 Behavioral Risk Factor Surveillance System was used. Insufficient sleep was assessed with a survey item and dichotomized. Data from n = 2231 counties were available. Tests for significant spatial concentrations of high/low levels of insufficient sleep (hotspots/coldspots) used the Getis-Ord G* statistic of local spatial concentration, chosen due to the nature of missing data., Results: Eighty-four counties were hotspots, with high levels of insufficient sleep ( P < .01), and 45 were coldspots, with low insufficient sleep ( P < .01). Hotspots were found in Alabama (1 county), Arkansas (1), Georgia (1), Illinois (1), Kentucky (25), Louisiana (1), Missouri (4), Ohio (7), Tennessee (12), Texas (9), Virginia (6), and West Virginia (16). Coldspots were found in Alabama (1 county), Georgia (2), Illinois (6), Iowa (6), Michigan (2), Minnesota (1), North Carolina (1), Texas (7), Virginia (12), and Wisconsin (6). Several contiguous hotspots and coldspots were evident. Notably, the 17 counties with the highest levels of insufficient sleep were found in a contiguous set at the intersection of Kentucky, Tennessee, Virginia, and West Virginia (all P < .0002)., Conclusions: Geographic distribution of insufficient sleep in the United States is uneven. Some areas (most notably parts of Appalachia) experience disproportionately high amounts of insufficient sleep and may be targets of intervention. Further investigation of determinants of geographic variability needs to be explored, which would enhance the utility of these data for development of public health campaigns.

Introduction: Trauma remains a leading cause of death and disability in the world, and trauma systems decrease mortality from trauma. We developed the Global Trauma System Evaluation Tool (G-TSET) specifically for use in low- and middle-income countries (LMICs). The Sudan People's Liberation Army (SPLA) in the Republic of South Sudan (RSS) desires a military trauma system (MTS) which allowed us to pilot the G-TSET., Methods: The G-TSET was developed by modifying key components of a trauma system applicable to LMICs. We partnered with the SPLA Medical Corps using clinical collaboration, direct observation, and discussion groups. Benchmarks and indicators were scored with 5 indicating "full capability" and 1 meaning "not present" and were used to develop a SPLA MTS plan., Results: The overall MTS score was 1.15 indicating an urgent need for system development. The assessment highlighted the need for SPLA Command support. Battlefield care, transport to a trauma facility, and inter-facility communication were identified for improvement. After essential battlefield care, consisting primarily of bandaging and splinting, transport times for injured SPLA soldiers were 12h to 3 days by truck. Based on our findings, we collaborated with SPLA medical leadership to develop a plan to develop a formal MTS., Conclusion: We piloted a novel trauma system assessment tool for the MTS in the RSS. Qualitatively, we identified gaps in the MTS and provided the medical leadership with a plan for improvement. We anticipate a short-term follow-up to quantify improvement, and we seek to validate this tool for use in other countries., (Published by Elsevier Ltd.)

Background and Purpose: Only 3% to 5% of patients with acute ischemic stroke receive intravenous recombinant tissue-type plasminogen activator (r-tPA) and <1% receive endovascular therapy. We describe access of the US population to all facilities that actually provide intravenous r-tPA or endovascular therapy for acute ischemic stroke., Methods: We used US demographic data and intravenous r-tPA and endovascular therapy rates in the 2011 US Medicare Provider and Analysis Review data set. International Classification of Diseases-Ninth Revision codes 433.xx, 434.xx and 436 identified acute ischemic stroke cases. International Classification of Diseases-Ninth Revision code 99.10 defined intravenous r-tPA treatment and International Classification of Diseases-Ninth Revision code 39.74 defined endovascular therapy. We estimated ambulance response times using arc-Geographic Information System's network analyst and helicopter transport times using validated models. Population access to care was determined by summing the population contained within travel sheds that could reach capable hospitals within 60 and 120 minutes., Results: Of 370,351 acute ischemic stroke primary diagnosis discharges, 14,926 (4%) received intravenous r-tPA and 1889 (0.5%) had endovascular therapy. By ground, 81% of the US population had access to intravenous-capable hospitals within 60 minutes and 56% had access to endovascular-capable hospitals. By air, 97% had access to intravenous-capable hospitals within 60 minutes and 85% had access to endovascular hospitals. Within 120 minutes, 99% of the population had access to both intravenous and endovascular hospitals., Conclusions: More than half of the US population has geographic access to hospitals that actually deliver acute stroke care but treatment rates remain low. These data provide a national perspective on acute stroke care and should inform the planning and optimization of stroke systems in the United States., (© 2014 American Heart Association, Inc.)

Vacant land is a significant economic problem for many cities, but also may affect the health and safety of residents. In order for community-based solutions to vacant land to be accepted by target populations, community members should be engaged in identifying local health impacts and generating solutions. We conducted 50 in-depth semi-structured interviews with people living in Philadelphia, Pennsylvania, a city with high vacancy, about the impact of vacant land on community and individual health and safety, as well as ideas for solutions to vacant land. Participants described a neighborhood physical environment dominated by decaying abandoned homes and overgrown vacant lots which affected community well-being, physical health, and mental health. Vacant land was thought to affect community well-being by overshadowing positive aspects of the community, contributing to fractures between neighbors, attracting crime, and making residents fearful. Vacant land was described as impacting physical health through injury, the buildup of trash, and attraction of rodents, as well as mental health through anxiety and stigma. Participants had several ideas for solutions to vacant land in their community, including transformation of vacant lots into small park spaces for the elderly and playgrounds for youth, and the use of abandoned homes for subsidized housing and homeless shelters. A few participants took pride in maintaining vacant lots on their block, and others expressed interest in performing maintenance but lacked the resources to do so. Public health researchers and practitioners, and urban planners should engage local residents in the design and implementation of vacant land strategies. Furthermore, municipalities should ensure that the health and safety impact of vacant land helps drive policy decisions around vacant land.

Computer-based games and interactive simulators have matured to the point where they can have a significant impact on healthcare behavior decisions. Initial results from using one such game (Heart Sense) indicate that it can improve recognition of heart attack symptoms and shift behavioral issues so as to reduce pre-hospitalization delay in seeking treatment--thereby reducing myocardial infarction mortality and morbidity.

Motorcycles are the most dangerous form of motorized transportation. Per vehicle miles traveled, motorcyclists are about 3 times as likely as passenger car occupants to be injured in a crash, and 16 times as likely to die. Because the majority of these deaths are caused by head injury, safety advocates have recommended mandatory use of motorcycle helmets. Others contend that state laws mandating helmet use infringe on motorcyclists' rights, and question whether such laws really reduce motorcycle deaths and injury. Scientific evidence cannot address the appropriate balance between personal freedom and public safety, but it can address the effectiveness of mandatory helmet laws. This Issue Brief summarizes a new analysis of the effects of motorcycle helmet laws on death rates, and points out the need to account for other potential factors when comparing death rates across states.

Objectives: To determine survival in pediatric trauma patients receiving cardiopulmonary resuscitation (CPR) in the prehospital setting and to identify subgroups of patients who may have increased survival rates., Methods: Records were obtained from the National Pediatric Trauma Registry on all pediatric trauma patients (age <19 years) over an 82-month period who received CPR at the scene of the injury. Data were recorded as to type of injury, need for additional CPR at the receiving hospital, and intubation in the field. Patient outcome was defined as: dead on arrival, dead at trauma center discharge, or alive at trauma center discharge. Univariate and logistic regression analyses were performed to identify statistical differences in survivors compared with nonsurvivors., Results: Seven hundred twenty-nine patients were identified. The median age was 7.0 years, with a mean of 7.9 years; 62% were male, 37% were female, and 1% had no gender recorded. Age and gender distributions were not statistically different for the three outcomes. Eighty-seven patients (12%) were dead on arrival and an additional 458 (63%) were dead at trauma center discharge, while 184 (25%) were alive at trauma center discharge. Motor vehicle crashes accounted for 27% of admissions, and pedestrians struck by vehicle accounted for 23%. Intentional violence accounted for 18% of the accrued patients. Predictors of death in the patients who were alive at admission were penetrating injury (p = 0.001) and requirement of additional CPR at the trauma center (p = 0.001). Prehospital intubation was associated with decreased survival. Of the 641 patients who arrived at the hospital alive, 29% lived to trauma center discharge, but of the 534/641 who received prehospital intubation, only 19% lived. The mean Functional Independence Measure (FIM) scores were 38.9 (range 18 to 126)., Conclusions: Survival of pediatric trauma patients after receiving CPR in the prehospital setting is significantly higher than expected in adult patients. Penetrating trauma, the need for additional CPR at the trauma center, and prehospital intubation are all predictors of a worse outcome.

Introduction: Mass casualty incidents (MCIs) are infrequent but potentially overwhelming events that can stress the capabilities of even the most organized emergency medical services (EMS) system. The Maryland EMS system has been identified as a pioneer and leader in the field of prehospital emergency care and, as with many states, Maryland's regional preparation for MCIs has been integrated into its overall EMS systems planning., Objective: To determine how successful this integration has been by examining a three-year history of response to MCIs in Maryland., Methods: A three-year case series of MCIs in Maryland was obtained from a Nexis national news publications search. These MCIs were cross-referenced with U.S. postal ZIP codes and the U.S. Census Bureau's ZIP code files. They were then mapped and summary statistics were prepared for analysis. Data obtained through the Maryland Health Services Cost Review Commission for all severely injured patients discharged from Maryland hospitals were obtained over the same three-year period for comparison., Results: Eight MCIs occurred over a three-year period, resulting in a total of 203 injuries. An average of 25.4 +/- 10.7 injuries occurred per MCI. A total of 158 (77.8%) of injuries necessitated ambulance transportation. An average of 3.1 +/- 1.1 hospitals were involved per MCI., Conclusions: The Maryland EMS system was effective in responding to MCIs ranging in size from 10 to nearly 40 injuries. Analyzing MCIs that reoccur on a year-to-year basis should figure into the planning process for EMS systems.

Injury (trauma) is the leading cause of death in the United States for people younger than 45 years of age. Each day, more than 170,000 men, women, and children are injured severely enough to seek medical care. About 400 of these people will die and another 200 will sustain a long-term disability as a result of their injuries. An estimated 20-40% of trauma-related deaths could be prevented if all Americans lived in communities that were served by a well-organized system of trauma care. This Issue Brief describes a new computer model that can help State and regional policymakers decide where to place designated trauma hospitals and helicopter depots to maximize their residents' access to trauma care.

Objective: To develop a mathematical model for the location of trauma care resources., Data Sources/study Setting: Severely injured patients queried from Maryland hospital discharge and vital statistics data. A spatial injury profile was created by parsing these patients into ZIP codes., Study Design: The Trauma Resource Allocation Model for Ambulances and Hospitals (TRAMAH) was formulated using integer and heuristic programming. To maximize coverage of severely injured patients, trauma centers and aeromedical depots were simultaneously sited using TRAMAH. A severe injury was considered covered if at least one trauma center was sited within a time standard by ground, or if an aeromedical depot-trauma center pair was sited in such a way that the sum of the flying time from the aeromedical depot to the scene of injury plus the flying time from the scene of injury to the trauma center was within the same time standard., Principal Findings: From 1992 to 1994, 26,774 severe injuries were considered for coverage. Across Maryland, 94.8 percent of severely injured residents had access to trauma system resources within 30 minutes and 70.3 percent had access within 15 minutes. For the same number of resources as the existing Maryland Trauma System, TRAMAH achieved a coverage objective of 99.97 percent within 30 minutes. This translated into an additional 461 severely injured people covered each year. Holding in place the trauma centers of the existing system, approximately the same percentage of coverage as that of the existing system was achieved within 15 minutes by optimally locating six fewer aeromedical depots., Conclusions: TRAMAH will allow trauma systems planners to better locate their resources with respect to spatial needs and response times.

Background: Patients with repeat presentations to acute care hospitals for new injuries are trauma recidivists. Prospective identification of those patients at greatest risk will permit focusing of limited hospital prevention resources., Methods: A population-based analysis of patients with recurrent trauma presenting to all hospitals in Nevada during a 5-year period was conducted. Records of 10,355 presentations representing 10,137 patients were analyzed., Results: Recidivist trauma patients were younger than non-recidivists, with patients aged 20 to 24 years having significantly higher rates of recidivism. Males were 1.53 times more likely than females to become recidivists. Cutting/piercing and machinery-related injuries were most frequently associated with recidivism. Cutting/piercing wound survivors were 7.06 times more likely to be recidivists than were gunshot wound survivors. Recidivists in motor vehicles crashes were 1.92 times less likely to wear seat belts than nonrecidivists. Recidivism was also significantly associated with positive blood alcohol levels and longer initial hospital stays., Conclusion: The rate of trauma recidivism in this study was 2.0%. Population-based data can be used to identify cohorts at risk of recidivism.

Objective: The purpose of this study was to characterize the geographic epidemiology of serious nonfatal firearm injuries (NFFI) within Pennsylvania during a 6-year period., Methods: A historical review of data from the Pennsylvania Trauma System Foundation trauma registry was completed using county-level data. Based on a format adapted from the United States Department of Agriculture, NFFI in Pennsylvania were classified by their county of occurrence: central city counties, metropolitan counties, nonmetropolitan counties, or rural counties. Population-based rates of NFFI were then calculated, as were NFFI as a proportion of the number of injuries within each region. These rates were stratified by intent of injury, scene of injury, and type of firearm., Results: A total of 100,703 trauma cases were reported to the Pennsylvania Trauma System Foundation from 1988 through 1993, of which 5,847 were serious NFFI. Nonfatal firearm assaults increased from rural counties to central city counties, whereas unintentional NFFI decreased (p < 0.05). A 225% increase in the number of NFFI, from 445 cases in 1988 to 1,004 cases in 1993, was noted in the central city counties. Comparatively, the increase in the noncity regions was 145%, from 182 cases in 1988 to 263 in 1993. Nonfatal firearm injuries occurred most often at home in noncity counties (rural, nonmetropolitan, and metropolitan counties) (47.9%). This is in contrast to central city counties, where NFFI occurred significantly more often in the street (53.5%) (p < 0.05). Handgun NFFI increased, whereas rifle NFFI decreased, from rural counties to central city counties (p < 0.05). Relative to population size, the risk of shotgun injuries was greatest in central city counties and lowest in rural counties. Shotgun injuries also accounted for a significantly longer hospital stay (15.06 days) compared with handgun injuries (10.38 days) and rifle injuries (11.81 days) (p < 0.05)., Conclusion: Significant variation in NFFI was observed across population-based regions in Pennsylvania. Rural areas demonstrated relatively high risks of NFFI committed unintentionally, in the home, and with rifles. As regional populations increase, relatively high risks of NFFI, committed as assaults, in the street, and by handguns, are highlighted. Although handguns were the most prominent firearm associated with NFFI, nonfatal shotgun injuries produced substantially longer hospital stays and may be an underappreciated cause of nonfatal firearm assaults in the urban setting.