Impact and Equity of New York City's Tobacco Retail Reduction Initiative.

INTRODUCTION: High levels of tobacco retailer density in communities is associated with a range of tobacco use behaviors and is a key structural driver of tobacco-related disparities. This study evaluates the impacts of New York City's (NYC) novel policy intervention to cap tobacco retail licenses on tobacco retailer density levels and neighborhood inequities in tobacco access. METHODS: Using geocoded tobacco retail licensing data from 2010 to 2022, Bayesian conditional autoregressive Poisson panel models estimated the association between policy implementation in 2018 and retailer density per 1,000 population, controlling for neighborhood-level sociodemographic factors. Data were analyzed in 2023. RESULTS: The number of tobacco retail licenses decreased from 9,304 in 2010 to 5,107 in 2022, with the rate of decline significantly accelerating post-policy (-14·2% versus -34·2%). Policy effects were stronger in districts with lower income and greater proportions of non-Hispanic Black residents. CONCLUSIONS: NYC's policy substantially reduced tobacco retailer density and appeared to close longstanding patterns of inequity in tobacco access, serving as a rare example of a tobacco control policy that may effectively reduce tobacco-related disparities. This emergent approach to restructure tobacco retail in communities may reach populations that have not benefitted from traditional tobacco control policies and should be considered by other localities.

A randomized control trial to support smoke-free policy compliance in public housing.

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.

A Randomized Control Trial to support smoke-free policy compliance in public housing.

• 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 designated areas, 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: August 23, 2021 https://clinicaltrials.gov/ct2/show/NCT05016505.

Firearm Death Rates in Rural vs Urban US Counties.

This cross-sectional study examines the variability in firearm mortality risk by county type across the full rural-urban continuum in the US.

Collateral consequences of the school-to-prison pipeline: Adolescent substance use and developmental risk.

OBJECTIVE: The adolescent health consequences of the school-to-prison pipeline remain underexplored. We test whether initiating components of the school-to-prison pipeline-suspensions, expulsions, and school policing-are associated with higher school-average levels of student substance use, depressed feelings, and developmental risk in the following year. METHOD: We linked 2003-2014 data from the California Healthy Kids Survey and the Civil Rights Data Collection from over 4,800 schools and 4,950,000 students. With lagged multi-level models, we estimated relationships between the school prevalence of total discipline, out-of-school discipline, and police-involved discipline, and standardized school-average levels of 6 substance use measures and 8 measures of developmental risk, respectively. RESULTS: The prevalence of school discipline predicted subsequent school-mean substance use and developmental risk. A one-unit higher prevalence of total discipline predicted higher school levels (in standard deviations) of binge drinking alcohol (0.14, 95% CI: 0.11, 0.17), drinking alcohol (0.15, 95% CI: 0.12, 0.18), smoking tobacco (0.09, 95% CI: 0.06, 0.12), using cannabis (0.16, 95% CI: 0.14, 0.19), using other drugs (0.17, 95% CI: 0.14, 0.21), and violence/harassment (0.16, 95% CI: 0.12, 0.2). Total discipline predicted lower levels of reported community support (-0.07, 95% CI: -0.1, -0.05), feeling safe in school (-0.12, 95% CI: -0.16, -0.09), and school support (-0.16, 95% CI: -0.19, -0.12). Associations were greater in magnitude for more severe out-of-school discipline. Findings were inconsistent for police-involved discipline. CONCLUSION: Exclusionary school discipline and school policing-core elements of the school-to-prison pipeline-are previously unidentified population predictors of adolescent substance use and developmental risk.

School Health Predictors of the School-to-Prison Pipeline: Substance Use and Developmental Risk and Resilience Factors.

PURPOSE: The purpose of the study is to establish prospective relationships among school mean levels of substance use, developmental risk and resilience factors, and school discipline. METHODS: We linked 2003-2014 data from the California Healthy Kids Survey and the Civil Rights Data Collection, from more than 4,800 schools and 4,950,000 students. With lagged multilevel linear models, we estimated relationships among standardized school average levels of six substance use measures; eight developmental risk and resilience factors; and the prevalence of total discipline, out-of-school discipline, and police-involved discipline. RESULTS: School mean substance use and risk/resilience factors predicted subsequent prevalence of discipline. For example, a one-standard deviation higher school mean level of smoking, binge drinking, and cannabis use was associated, respectively, with 16% (95% confidence interval [CI]: 14%, 18%), 18% (95% CI: 16%, 20%), and 21% (95% CI: 19%, 23%) higher subsequent prevalence of total discipline. A one-standard deviation higher mean level of community support and feeling safe in school was associated, respectively, with 21% (95% CI: 18%, 23%) and 9% (95% CI: 7%, 11%) lower total discipline. Higher violence/harassment was associated with 5% (95% CI: 4%, 7%) higher total discipline. Peer and home support, student resilience, and neighborhood safety were not associated with total discipline. Nearly all associations remained, attenuated, when we restricted to out-of-school and police-involved discipline. CONCLUSIONS: Schools with students who, on average, have higher substance use, less school and community support, and feel less safe in schools have a higher prevalence of school discipline and police contact. The public health implications of mass criminalization extend beyond criminal legal system settings and into schools.

Smoke at night and sleep worse? The associations between cigarette smoking with insomnia severity and sleep duration.

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 (nnonsmokers = 818; nsmokers = 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.

Beyond survival: the broader consequences of prehospital transport by police for penetrating trauma.

BACKGROUND: Time to definitive hemorrhage control is a primary driver of survival after penetrating injury. For these injuries, mortality outcomes after prehospital transport by police and emergency medical service (EMS) providers are comparable. In this study we identify patient and geographic predictors of police transport relative to EMS transport and describe perceptions of police transport elicited from key stakeholders. METHODS: This mixed methods study was conducted in Philadelphia, Pennsylvania, which has the highest rate of police transport nationally. Patient data were drawn from Pennsylvania's trauma registry and geographic data from the US Census and American Community Survey. For all 7500 adults who presented to Philadelphia trauma centers with penetrating injuries, 2006-2015, we compared how individual and geospatial characteristics predicted the odds of police versus EMS transport. Concurrently, we conducted qualitative interviews with patients, police officers and trauma clinicians to describe their perceptions of police transport in practice. RESULTS: Patients who were Black (OR 1.50; 1.20-1.88) and Hispanic (OR 1.38; 1.05-1.82), injured by a firearm (OR 1.58; 1.19-2.10) and at night (OR 1.48; 1.30-1.69) and who presented with decreased levels of consciousness (OR 1.18; 1.02-1.37) had higher odds of police transport. Neighborhood characteristics predicting police transport included: percent of Black population (OR 1.18; 1.05-1.32), vacant housing (OR 1.40; 1.20-1.64) and fire stations (OR 1.32; 1.20-1.44). All stakeholders perceived speed as police transport's primary advantage. For patients, disadvantages included pain and insecurity while in transport. Police identified occupational health risks. Clinicians identified occupational safety risks and the potential for police transport to complicate the workflow. CONCLUSIONS: Police transport may improve prompt access to trauma care but should be implemented with consideration of the equity of access and broad stakeholder perspectives in efforts to improve outcomes, safety, and efficiency. LEVEL OF EVIDENCE: Epidemiological study, level III.

A multi-decade joinpoint analysis of firearm injury severity.

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.

Urban Green Space and Its Impact on Human Health.

Background: Over half of the world's population now lives in urban areas, and this proportion is expected to increase. While there have been numerous reviews of empirical studies on the link between nature and human health, very few have focused on the urban context, and most have examined almost exclusively cross-sectional research. This review is a first step toward assessing the possibility of causal relationships between nature and health in urban settings. Methods: Through systematic review of published literature, we explored the association between urban green space and human health. Results: We found consistent negative association between urban green space exposure and mortality, heart rate, and violence, and positive association with attention, mood, and physical activity. Results were mixed, or no association was found, in studies of urban green space exposure and general health, weight status, depression, and stress (via cortisol concentration). The number of studies was too low to generalize about birth outcomes, blood pressure, heart rate variability, cancer, diabetes, or respiratory symptoms. Conclusions: More studies using rigorous study design are needed to make generalizations, and meta-analyses, of these and other health outcomes possible. These findings may assist urban managers, organizations, and communities in their efforts to increase new or preserve existing green space.

Racial Differences in Geographic Access to Medical Care as Measured by Patient Report and Geographic Information Systems.

BACKGROUND: Geographic access-the travel burden required to reach medical care-is an important aspect of care. Studies, which typically rely on geographic information system (GIS) calculated travel times, have found some evidence of racial disparities in spatial access to care. However, the validity of these studies depends on the accuracy of travel times by patient race. OBJECTIVES: To determine if there are racial differences when comparing patient-reported and GIS-calculated travel times. RESEARCH DESIGN: Data came from the Philadelphia Area Prostate Cancer Access Study (P Access), a cohort study of men diagnosed with localized prostate cancer. We conducted cross-sectional analysis of 2136 men using multivariable linear mixed-effects models to examine the effect of race on differences in patient-reported and GIS-calculated travel times to urology and radiation oncology cancer providers. RESULTS: Patient-reported travel times were, on an average, longer than GIS-calculated times. For urology practices, median patient-reported travel times were 12.7 minutes longer than GIS-calculated travel times for blacks versus 7.2 minutes longer for whites. After adjusting for potential confounders, including socioeconomic status and car access, the difference was significantly greater for black patients than white patients (2.0 min; 95% confidence interval, 0.58-3.44). CONCLUSIONS: GIS-calculated travel time may underestimate access to care, especially for black patients. Future studies that use GIS-calculated travel times to examine racial disparities in spatial access to care might consider including patient-reported travel times and controlling for factors that might affect the accuracy of GIS-calculated travel times.

A multidimensional view of racial differences in access to prostate cancer care.

BACKGROUND: Racial disparities in prostate cancer treatment and outcomes are widespread and poorly understood. In the current study, the authors sought to determine whether access to care, measured across multiple dimensions, contributed to racial differences in prostate cancer. METHODS: The Philadelphia Area Prostate Cancer Access Study (P2 Access) included 2374 men diagnosed with localized prostate cancer between 2012 and 2014. Men were surveyed to assess their experiences accessing care (response rate of 51.1%). The authors determined appointment availability at 151 urology practices using simulated patient telephone calls and calculated travel distances using geospatial techniques. Multivariable logistic regression models were used to determine the association between 5 different domains of access (availability, accessibility, accommodation, affordability, and acceptability) and receipt of treatment, perceived quality of care, and physician-patient communication. RESULTS: There were 1907 non-Hispanic white and 394 black men in the study cohort. Overall, approximately 85% of the men received definitive treatment with no differences noted by race. Black men were less likely to report a high quality of care (69% vs 81%; P<.001) and good physician-patient communication (60% vs 71%; P<.001) compared with white men. In adjusted models, none of the 5 domains of access were found to be associated with definitive treatment overall or with radical prostatectomy. All access domains were associated with perceived quality of care and communication, although these domains did not mediate racial disparities. CONCLUSIONS: To the authors' knowledge, the current study presents the first comprehensive assessment of prostate cancer care access, treatment, and patient experience, demonstrating that although access was related to overall perceived quality of care and better physician-patient communication, it did not appear to explain observed racial differences. Cancer 2017;123:4449-57. © 2017 American Cancer Society.

Telomere Length and Neighborhood Circumstances: Evaluating Biological Response to Unfavorable Exposures.

Background: Multilevel frameworks suggest neighborhood circumstances influence biology; however, this relationship is not well studied. Telomere length (TL) shortening has been associated with individual-level and neighborhood-level exposures and disease and may provide insights into underlying biologic mechanisms linking neighborhood with biology. To support neighborhood-biology investigations, we sought to determine the independent effect of neighborhood exposures on TL using standard multilevel linear regression models and quantile regression, a nonlinear, social science method applicable for testing the biologic hypothesis that extremes of the TL distribution are related to poor outcomes.Methods: In a multicenter, cross-sectional study, blood TL was measured in 1,488 individuals from 127 census tracts in three U.S. regions using terminal restriction fragment assays. Multilevel linear and quantile regression models were adjusted for individual-level race, education, perceived stress, and depression. Neighborhood exposures included population density, urban/residential crowding, residential stability/mobility, and socioeconomic status.Results: TL was not associated with any neighborhood variable using linear models, but quantile regression revealed inverse associations between population density and urban crowding at the lower tails of the TL distribution [5th (population density P = 0.03; urban crowding P = 0.002), 50th (both P < 0.001), 75th percentiles (both P < 0.001)]. TL was related to residential stability at the upper tail (95th percentile P = 0.006).Conclusions: Findings support the use of nonlinear statistical methods in TL research and suggest that neighborhood exposures can result in biological effects.Impact: TL may serve as an underlying example of a biologic mechanism that can link neighborhood with biology, thus supporting multilevel investigations in future studies. Cancer Epidemiol Biomarkers Prev; 26(4); 553-60. ©2017 AACRSee all the articles in this CEBP Focus section, "Geospatial Approaches to Cancer Control and Population Sciences."

A Neighborhood-Wide Association Study (NWAS): Example of prostate cancer aggressiveness.

PURPOSE: Cancer results from complex interactions of multiple variables at the biologic, individual, and social levels. Compared to other levels, social effects that occur geospatially in neighborhoods are not as well-studied, and empiric methods to assess these effects are limited. We propose a novel Neighborhood-Wide Association Study(NWAS), analogous to genome-wide association studies(GWAS), that utilizes high-dimensional computing approaches from biology to comprehensively and empirically identify neighborhood factors associated with disease. METHODS: Pennsylvania Cancer Registry data were linked to U.S. Census data. In a successively more stringent multiphase approach, we evaluated the association between neighborhood (n = 14,663 census variables) and prostate cancer aggressiveness(PCA) with n = 6,416 aggressive (Stage≥3/Gleason grade≥7 cases) vs. n = 70,670 non-aggressive (Stage<3/Gleason grade<7) cases in White men. Analyses accounted for age, year of diagnosis, spatial correlation, and multiple-testing. We used generalized estimating equations in Phase 1 and Bayesian mixed effects models in Phase 2 to calculate odds ratios(OR) and confidence/credible intervals(CI). In Phase 3, principal components analysis grouped correlated variables. RESULTS: We identified 17 new neighborhood variables associated with PCA. These variables represented income, housing, employment, immigration, access to care, and social support. The top hits or most significant variables related to transportation (OR = 1.05;CI = 1.001-1.09) and poverty (OR = 1.07;CI = 1.01-1.12). CONCLUSIONS: This study introduces the application of high-dimensional, computational methods to large-scale, publically-available geospatial data. Although NWAS requires further testing, it is hypothesis-generating and addresses gaps in geospatial analysis related to empiric assessment. Further, NWAS could have broad implications for many diseases and future precision medicine studies focused on multilevel risk factors of disease.

Using a Mystery-Caller Approach to Examine Access to Prostate Cancer Care in Philadelphia.

PURPOSE: Prior work suggests that access to health care may influence the diagnosis and treatment of prostate cancer. Mystery-caller methods have been used previously to measure access to care for health services such as primary care, where patients' self-initiate requests for care. We used a mystery-caller survey for specialized prostate cancer care to assess dimensions of access to prostate cancer care. MATERIALS AND METHODS: We created an inventory of urology and radiation oncology practices in southeastern Pennsylvania. Using a 'mystery caller' approach, a research assistant posing as a medical office scheduler in a primary care office, attempted to make a new patient appointment on behalf of a referred patient. Linear regression was used to determine the association between time to next available appointment with practice and census tract characteristics. RESULTS: We successfully obtained information on new patient appointments from 198 practices out of the 223 in the region (88.8%). Radiation oncology practices were more likely to accept Medicaid compared to urology practices (91.3% vs 36.4%) and had shorter mean wait times for new patient appointments (9.0 vs 12.8 days). We did not observe significant differences in wait times according to census tract characteristics including neighborhood socioeconomic status and the proportion of male African American residents. CONCLUSIONS: Mystery-caller methods that reflect real-world referral processes from primary care offices can be used to measure access to specialized cancer care. We observed significant differences in wait times and insurance acceptance between radiation oncology and urology practices.

Race, Ethnicity, Psychosocial Factors, and Telomere Length in a Multicenter Setting.

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(ß)(standard error(SE)) = 0.09(0.04), p-value = 0.04) and Hispanic ethnicity (ß(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 (ß(SE) = 0.06(0.02), p-value = 0.04). LTL was inversely related to perceived stress (ß(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(ß(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.

Development of a novel Global Trauma System Evaluation Tool and initial results of implementation in the Republic of South Sudan.

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.

Unintentional firearm death across the urban-rural landscape in the United States.

BACKGROUND: Unintentional injuries are one of the leading causes of death in the United States. Many of these injuries are preventable, and unintentional firearm injuries, in particular, may be responsive to prevention efforts. We investigated the relationship between unintentional firearm death and urbanicity among adults. METHODS: This study was a retrospective analysis of national death certificate data. Unintentional adult firearm deaths in the United States from 1999 to 2006 were identified using the Multiple Cause of Death Data files from the National Center for Health Statistics. Decedents were assigned to a county of death and classified along an urban-rural continuum defined by population density and proximity to metropolitan areas. Total unintentional firearm death rates by county were analyzed in adjusted analyses using negative binomial regression. RESULTS: A total of 4,595 unintentional firearm injury deaths of adults occurred in the United States during the study period (a mean of 574.4 per year). Adjusted rates of unintentional firearm death showed increases from urban to rural counties. Americans in the most rural counties were significantly more likely to die of unintentional firearm deaths than those in the most urban counties (relative rate, 2.16; 95% confidence interval, 1.44-3.21, p = 0.002). CONCLUSION: Rates of unintentional firearm death are significantly higher in rural counties than in urban counties. Prevention strategies should be tailored to account for both geographic location and manner of firearm injury. LEVEL OF EVIDENCE: Epidemiologic study, level III.

Weekend and night outcomes in a statewide trauma system.

OBJECTIVE: To evaluate whether mortality and clinical outcomes vary for injured patients in a mature trauma system on weeknights and weekends compared with weekdays. DESIGN: Retrospective cohort study. SETTING: Pennsylvania trauma system. PATIENTS: A total of 90,461 patients over 5 years. INTERVENTION: Treatment at a level I, II, or III trauma center. MAIN OUTCOME MEASURES: In-hospital mortality, time to procedures, and length of stay. RESULTS: In adjusted analyses, patients presenting on weeknights were no more likely to die than patients presenting during weekdays, and patients presenting on weekends were less likely to die than patients presenting on weekdays (odds ratio = 0.89; 95% confidence interval, 0.81-0.97). Presenting on weeknights was associated with longer intensive care unit stay (incidence rate ratio = 1.06; 95% confidence interval, 1.02-1.10) and longer hospital stay (incidence rate ratio = 1.02; 95% confidence interval, 1.00-1.04). Presenting on weekends was associated with longer intensive care unit stay (incidence rate ratio = 1.04; 95% confidence interval, 1.02-1.10) but not longer hospital stay. Delays to laparotomy or craniotomy were not seen in either group. CONCLUSIONS: We demonstrate comparable mortality among injured patients presenting on weeknights vs weekdays and lower mortality among injured patients on weekends vs weekdays. Systems-based solutions of the trauma model are protective against the weekend effect and inform care for other emergency care-sensitive conditions.