Evaluating Firearm Violence After New Jersey's Cash Bail Reform.

Importance: Reducing the pretrial detention population has been a cornerstone of movements to end mass incarceration. Across many US cities, there are ongoing public debates on policies that would end pretrial detention due to the inability to afford bail, with some raising concerns that doing so would increase community violence. Objective: To evaluate changes in firearm violence after New Jersey's 2017 bail reform policy that eliminated financial barriers to avoiding pretrial detention. Design, Setting, and Participants: This case-control study used synthetic control methods to examine changes in firearm mortality and combined fatal and nonfatal shootings in New Jersey (2014-2019). New Jersey was chosen because it was one of the first states to systematically implement cash bail reform. Outcomes in New Jersey were compared with a weighted combination of 36 states that did not implement any kind of reform to pretrial detention during the study period. Data were analyzed from April 2023 to March 2024. Exposure: Implementation of New Jersey's cash bail reform law in 2017. Main Outcomes and Measures: Quarterly rates of fatal and nonfatal firearm assault injuries and firearm self-harm injuries per 100 000 people. Results: Although New Jersey's pretrial detention population dramatically decreased under bail reform, the study did not find evidence of increases in overall firearm mortality (average treatment effect on the treated, -0.26 deaths per 100 000) or gun violence (average treatment effect on the treated, -0.24 deaths per 100 000), or within racialized groups during the postpolicy period. Conclusions and Relevance: Incarceration and gun violence are major public health problems impacting racially and economically marginalized groups. Cash bail reform may be an important tool for reducing pretrial detention and advancing health equity without exacerbating community violence.

Decreased Emergency Cholecystectomy and Case Fatality Rate, Not Explained by Expansion of Medicaid.

INTRODUCTION: Population data on longitudinal trends for cholecystectomies and their outcomes are scarce. We evaluated the incidence and case fatality rate of emergency and ambulatory cholecystectomies in New Jersey (NJ) and whether the Medicaid expansion changed trends. MATERIALS AND METHODS: A retrospective population cohort design was used to study the incidence of cholecystectomies and their case fatality rate from 2009 to 2018. Using linear and logistic regression we explored the trends of incidence and the odds of case fatality after versus before the January 1, 2014 Medicaid expansion. RESULTS: Overall, 93,423 emergency cholecystectomies were performed, with 644 fatalities; 87,239 ambulatory cholecystectomies were performed, with fewer than 10 fatalities. The 2009 to 2018 annual incidence of emergency cholecystectomies dropped markedly from 114.8 to 77.5 per 100,000 NJ population (P < 0.0001); ambulatory cholecystectomies increased from 93.5 to 95.6 per 100,000 (P = 0.053). The incidence of emergency cholecystectomies dropped more after than before Medicaid expansion (P < 0.0001). The odds ratio for case fatality among those undergoing emergency cholecystectomies after versus before expansion was 0.85 (95% CI, 0.72-0.99). This decrease in case fatality, apparent only in those over age 65, was not explained by the addition of Medicaid. CONCLUSIONS: A marked decrease in the incidence of emergency cholecystectomies occurred after Medicaid expansion, which was not accounted for by a minimal increase in the incidence of ambulatory cholecystectomies. Case fatality from emergency cholecystectomy decreased over time due to factors other than Medicaid. Further work is needed to reconcile these findings with the previously reported lack of decrease in overall gallstone disease mortality in NJ.

HEALTH ASSESSMENT OF WILD NORTHERN DIAMOND-BACKED TERRAPINS (MALACLEMYS TERRAPIN TERRAPIN) IN NEW JERSEY, USA.

A popular species in the pet trade, and therefore in the illegal wildlife trade, the diamond-backed terrapin, Malaclemys terrapin terrapin, population has seen significant declines. Associated with the illegal wildlife trade, occasions arise in which terrapins are confiscated, and no standard operating procedures exist for repatriation into the wild. To develop such procedures, an understanding of the pathogens circulating in the wild diamond-backed terrapin population in New Jersey is needed. We sampled 30 wild female diamond-backed terrapins for herpesvirus, Mycoplasmopsis, ranavirus, and intestinal and blood parasites and performed white blood cell counts and differentials and evaluated biochemistry values. Terrapins had an average age of 10 yr (8-15 yr), and 70% were gravid at the time of sampling. Thirty-three percent of the sampled northern diamond-backed terrapins were positive for Mycoplasmopsis sp., and all were negative for ranavirus and herpesviruses. Occasional blood parasites were found, and few intestinal parasites were noted. There was no significant difference between gravid status and any of the blood parameters (P<0.05). Blood chemistry values appeared to vary according to feeding activity; no differences were noted in the values in relation to gravid status. Four terrapins had heterophil to lymphocyte (H:L) ratios above 4.5, significantly higher than the other terrapins sampled, which may indicate inflammation. Two of the four had Mycoplasmopsis, one sample was contaminated by other bacteria and was discarded, and one was negative. No significant difference was found between Mycoplasmopsis infection status and H:L ratio (P=0.926). Our findings, though conducted on a small number of female terrapins at a specific time point, provide data on the pathogens that may be circulating in this population, adding to the current body of knowledge and helping to guide decision making for the reintroduction of confiscated diamond-backed terrapins into New Jersey's wild population.

New Jersey maternal mortality dashboard: an interactive social-determinants-of-health tool.

OBJECTIVES: The United States maternal mortality (MM) rate is the highest amid developed/industrialized nations, and New Jersey's rate is among the highest. Healthcare professionals, public health officials, and policy makers are working to understand drivers of MM. An interactive data visualization tool for MM and health-related information (New Jersey Maternal Mortality Dashboard [NJMMD]) was recently developed. METHODS: NJMMD is an open-source application that uses data from publicly available state/federal government sources to provide a cross-sectional, high-level depiction of potential relationships between MM and demographic, social, and public health factors. RESULTS: MM rates or ratios (maternal deaths/1,000 women aged 15-49 years or 100,000 live births, respectively) are available by year (2005-2017), age (5-year [15-49] periods), and race/ethnicity (non-Hispanic White, Black, or Asian; Hispanic; or other), and by contextual social determinants of health (percent insured; percent covered by Medicaid; difference in nulliparous, term, singleton, vertex Cesarian birth rate from New Jersey goal; number of obstetrician/gynecologists or midwives per capita; and poverty rate). Bar graphs also can be produced with these variables. CONCLUSIONS: NJMMD is the first publicly available, interactive, state-focused MM tool that takes into account the intersection of social and demographic determinants of health, which play important roles in health outcomes. Trends and patterns in variables associated with MM and health can be identified for New Jersey and each of its 11 counties, and inform areas of focus for further analysis. Outputs may enable researchers, policy makers, and others to develop appropriate interventions and be better positioned to set benchmarks, allocate resources, and evaluate outcomes.

Differences in elective epilepsy monitoring unit admission rates by race/ethnicity and primary payer in New Jersey.

Elective admission to the epilepsy monitoring unit (EMU) is an essential service provided by epilepsy centers, particularly for those with drug-resistant epilepsy. Given previously characterized racial and socioeconomic healthcare disparities in the management of epilepsy, we sought to understand access and utilization of this service in New Jersey (NJ). We examined epilepsy hospitalizations in NJ between 2014 and 2016 using state inpatient and emergency department (ED) databases. We stratified admissions by race/ethnicity and primary payer and used these to estimate and compare (1) admission rates per capita in NJ, as well as (2) admission rates per number of ED visits for each group. Patients without insurance underwent elective EMU admission at the lowest rates across all racial/ethnic groups and payer types studied. Black patients with Medicaid and private insurance were admitted at disproportionately low rates relative to their number of ED visits. Hispanic/Latino and Asian/Pacific Islanders with private insurance, Hispanic/Latinos with Medicaid, and Asian/Pacific Islanders with Medicare were also admitted at low rates per capita within each respective payer category. Future studies should focus on addressing causal factors driving healthcare disparities in epilepsy, particularly for patients without adequate health insurance coverage and those who have been historically underserved by the healthcare system.

Municipality-Level Variation in Severe Maternal Morbidity and Association With Municipal Expenditures in New Jersey.

Importance: Severe maternal morbidity (SMM) is a major risk factor for maternal mortality, yet little is known about geographic variation in SMM or factors associated with geographical variation at the local level. Municipal governments incur substantial expenditures providing services that are an essential part of residents' lives, but associations between municipal expenditures and SMM have not been previously examined. Objective: To investigate variation in rates of SMM across municipalities in New Jersey, the contributions of individual-level characteristics and municipal expenditures to that variation, and associations between municipal expenditures and SMM. Design, Setting, and Participants: This cross-sectional study analyzed 2008 to 2018 New Jersey birth files linked to maternal hospital discharge records and US Census municipal expenditures data. The birth files contain all birth records for New Jersey, and hospital discharge records contain information from all in-patient hospitalizations in New Jersey over the study period. Birth records were matched to maternal discharge records and expenditures data. Data were analyzed from August 2020 to August 2021. Exposures: Individual-level characteristics and per capita municipal expenditures on education; public health; fire and ambulance; parks, recreation, and natural resources; housing and community development; public welfare; police; transportation; and libraries. Main Outcomes and Measures: SMM was identified using diagnosis and procedure codes developed by the Centers for Disease Control and Prevention to measure SMM. Results: Of 1 001 410 individuals (mean [SD] age, 29.8 [5.9] years; 108 665 Asian individuals [10.9%]; 147 910 Black individuals [14.8%]; 280 697 Hispanic individuals [28.0%]; 447 442 White individuals [44.7%]) who gave birth in New Jersey hospitals from 2008 to 2018, 19 962 individuals (2.0%) had SMM. There was substantial municipality-level variation in SMM that was not fully explained by demographic characteristics. Municipal expenditures on fire and ambulance, transportation, health, housing, and libraries were negatively associated with SMM; $1000 higher annual expenditures per capita in these categories were associated with 35.4% to 67.3% lower odds of SMM (odds ratios, 0.33 [95% CI, 0.15-0.72] to 0.65 [95% CI, 0.46-0.91]). Expenditures on police were positively associated with SMM (odds ratio, 1.15 [95% CI, 1.04-1.28]). Conclusions and Relevance: The findings in this study regarding associations between spending on various types of services at the municipal level and SMM, holding constant overall spending, population size, and socioeconomic status at the municipal level, indicate that municipal budget allocation decisions were associated with SMM rates and point to the importance of future research investigating potential causal connections.

Obstetrical unit closures and racial and ethnic differences in severe maternal morbidity in the state of New Jersey.

BACKGROUND: In the United States, racial disparities in maternal morbidity and mortality are pronounced and persistent. Although the maternal mortality ratio and the severe maternal morbidity rates have increased over the past 30 years, the number of obstetrical units in the country has simultaneously diminished. Black women are 3 times more likely to die during childbirth than White women and twice as likely to suffer severe maternal morbidity (or a near miss). Between 2003 and 2013, 366 (10%) obstetrical units closed, and rural obstetrical unit closures were more likely in the Black communities. The state of New Jersey has the highest Black maternal mortality rate (131.8/100,000 live births) of all states reporting these data. Very few studies have examined the role that urban obstetrical unit closures play in racial and ethnic disparities in maternal health outcomes. OBJECTIVE: To analyze racial differences in severe maternal morbidity in New Jersey hospitals among women experiencing the loss of their nearest obstetrical unit during the years 2006-2015. STUDY DESIGN: This study used data on all births in New Jersey hospitals (2006-2015) by women living in ZIP code tabulation areas that lost their nearest obstetrical unit during that period. Severe maternal morbidity was measured using a composite variable for severe illness during hospitalizations (eg, acute heart failure, acute renal disease, disseminated intravascular coagulation, sepsis) identified using the International Classification of Diseases, Ninth Revision. Logistic regression models were used to analyze the associations between race and ethnicity on the individual likelihood of severe maternal morbidity, adjusting for annual trends, individual socioeconomic characteristics, age, preexisting conditions, and delivery hospital characteristics (ie, percentage of Black patients >25% [Black-serving hospital] and percentage of Medicaid discharges in the delivery obstetrical unit). RESULTS: There were 227,412 delivery hospitalizations among women who lived in the 124 New Jersey ZIP code tabulation areas that lost the nearest obstetrical unit from 2006 to 2015. Black women had the highest severe maternal morbidity rates, increasing from 1.2% in 2006 to 2.3% in 2015. The Black-White gap remained similar in magnitude over the period, as White women's severe maternal morbidity rates increased from 0.7% to 1.4%. However, for Hispanic women, the severe maternal morbidity increased dramatically from 0.7% in 2006 to 2.4% in 2013, followed by a decreasing trend during 2013-2015. When adjusting for individual factors, the odds of severe maternal morbidity among all women was greater if they delivered after the loss of the nearest obstetrical unit (adjusted odds ratio, 1.55; 95% confidence interval, 1.30-1.86). Hispanic women experienced the greatest increase in severe maternal morbidity, regardless of whether they delivered before or after the closure of their nearest obstetrical unit. For all women, delivering in a Black-serving obstetrical unit was associated with a greater likelihood of individual severe maternal morbidity (adjusted odds ratio, 1.36; 95% confidence interval, 1.19-1.56). CONCLUSION: Racial and ethnic disparities in severe maternal morbidity persist and might be exacerbated by nearby obstetrical unit closures. In New Jersey ZIP codes with obstetrical unit loss, the Hispanic-White gap in the severe maternal morbidity widened substantially, and the rates were also higher among women who delivered in Black-serving hospitals. Policymakers should take steps to prevent obstetrical unit closures and to ensure that the resources available at Black-serving obstetrical units are at least on par with those of other institutions.

Medically treated opioid overdoses among New Jersey Medicaid beneficiaries: Rapid growth and complex comorbidity amid growing fentanyl penetration.

OBJECTIVE: Medically treated opioid overdoses identify a population at high risk of subsequent mortality and need for treatment. This study reports on medically treated opioid overdose trends in a state with rapid fentanyl spread. METHODS: We conducted stratified trend analysis of medically treated overdose due to heroin, synthetic opioids, methadone, or other natural opioids among New Jersey Medicaid beneficiaries aged 12-64 years (2014-2019); evaluated associations with demographics and co-occurring conditions; and examined trends in fentanyl penetration in suspected heroin seizures from New Jersey State Police data. RESULTS: Overdose risk more than tripled from 2014 to 2019, from 120.5 to 426.8 per 100,000 person-years, respectively. Increases primarily involved heroin and synthetic opioids and were associated with co-occurring alcohol and other non-opioid drug disorders, major depressive disorder, and hepatitis C. Concurrent changes in the drug exposure environment (2015-2019) included an increase in fentanyl penetration (proportion of suspected heroin seizures that included fentanyls) from 2% to 80%, and a decrease in the proportion of Medicaid beneficiaries who received opioid analgesic prescriptions from 23% to 13%. CONCLUSION: Results document a rapid increase in overdose risk among individuals with opioid use disorder in an environment in which fentanyl is highly prevalent, and highlight the need for intensified services and engagement of non-treatment seekers, and integrated models to address multiple co-occurring conditions and risk factors.

COVID-19 infection data encode a dynamic reproduction number in response to policy decisions with secondary wave implications.

The SARS-CoV-2 virus is responsible for the novel coronavirus disease 2019 (COVID-19), which has spread to populations throughout the continental United States. Most state and local governments have adopted some level of "social distancing" policy, but infections have continued to spread despite these efforts. Absent a vaccine, authorities have few other tools by which to mitigate further spread of the virus. This begs the question of how effective social policy really is at reducing new infections that, left alone, could potentially overwhelm the existing hospitalization capacity of many states. We developed a mathematical model that captures correlations between some state-level "social distancing" policies and infection kinetics for all U.S. states, and use it to illustrate the link between social policy decisions, disease dynamics, and an effective reproduction number that changes over time, for case studies of Massachusetts, New Jersey, and Washington states. In general, our findings indicate that the potential for second waves of infection, which result after reopening states without an increase to immunity, can be mitigated by a return of social distancing policies as soon as possible after the waves are detected.

Psychiatric Emergencies Following the 2008 Economic Recession: An Ecological Examination of Population-Level Responses in Four US States.

BACKGROUND: Research examining mental health outcomes following economic downturns finds both pro-cyclic and counter-cyclic associations. Pro-cyclic findings (i.e. economic downturns correspond with decline in illnesses) invoke increase in leisure time and risk-averse behavior as underlying drivers of reduction in harmful consumption during economic recessions. By contrast, counter-cyclic evidence (i.e. economic downturns correspond with increase in illnesses) suggests increase in mental illness with economic decline owing to heightened stress and loss of resources, particularly among certain age and socioeconomic groups. AIM OF THE STUDY: To examine the relation between monthly aggregate employment decline and psychiatric emergency department visits across 96 counties within 49 Metropolitan Statistical Areas in the United States. METHODS: For this study, data on all psychiatric outpatient Emergency Department (ED) visits for 4 US states (Arizona, California, New Jersey and New York) were retrieved from the State Emergency Department Database (SEDD) and aggregated by county-month, for the time period of 2006 to 2011. Exposure to recession was operationalized as population-level employment change in a Metropolitan Statistical Area (MSA). This information was obtained from MSA-level employment provided by the US Bureau of Labor Statistics. Brief exposure time lags of 0 to 3 months were specified to estimate proximate responses to MSA-level economic decline. Income level was approximated based on insurance status (private insurance= high-income, public insurance = low-income). Linear regression analysis was used to test whether monthly decline in aggregate employment in an MSA corresponds with (i) changes in population rates of psychiatric ED visits and (ii) whether the relation between the outcome and exposure varies by insurance status (private, public) and age group (children, age < 20 years; working-age adults, age 20 to 64 years; elderly adults, age > 64 years). Regression methods controlled for region, year and month fixed effects, and state-specific linear time trends. RESULTS: Linear regression results indicate that overall, psychiatric ED visits (per 100,000 population) decline with decline in monthly employment at exposure lag 0 (coefficient: 0.54, p < 0.001) and lag 2 (coefficient: 0.52, p < 0.001). Privately insured (high-income) groups also show a decline in psychiatric ED visits following decline in aggregate employment. Conversely, publicly insured children show an increase in psychiatric ED visit rates one month (i.e. lag 1) following employment decline (coefficient: -0.35, p value < 0.01). Exploratory analyses by disorder groups show that the population-level decline in psychiatric ED visits concentrates among visits for alcohol use disorders at 0, 1 and 2 month lags of employment decline. DISCUSSION: This study's findings provide evidence of pro- as well as counter-cyclic trends in psychiatric emergency visits following aggregate employment decline in an MSA. Whereas declines in psychiatric emergencies support a risk-averse response to economic recessions, these aggregate trends may mask countervailing trends among vulnerable groups. Limitations of this study include the absence of sex-specific analyses and lack of information on emergent or non-emergent nature of psychiatric ED visits. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Psychiatric ED visits during recessions may vary by age and income groups. IMPLICATIONS FOR HEALTH POLICIES: Findings from this study may serve to develop targeted policies for low-income groups during macroeconomic downturns. IMPLICATIONS FOR FURTHER RESEARCH: Future research may examine trends in emergent versus non-emergent psychiatric ED visits following economic recessions.

Evidence That Changes in Community Food Environments Lead to Changes in Children's Weight: Results from a Longitudinal Prospective Cohort Study.

BACKGROUND: Strategies to improve the community food environment have been recommended for addressing childhood obesity, but evidence substantiating their effectiveness is limited. OBJECTIVE: Our aim was to examine the impact of changes in availability of key features of the community food environment, such as supermarkets, small grocery stores, convenience stores, upgraded convenience stores, pharmacies, and limited service restaurants, on changes in children's body mass index z scores (zBMIs). DESIGN: We conducted a longitudinal cohort study. PARTICIPANTS/SETTING: Two cohorts of 3- to 15-year-old children living in 4 low-income New Jersey cities were followed during 2- to 5-year periods from 2009 through 2017. Data on weight status were collected at 2 time points (T1 and T2) from each cohort; data on food outlets in the 4 cities and within a 1-mile buffer around each city were collected multiple times between T1 and T2. MAIN OUTCOME MEASURES: We measured change in children's zBMIs between T1 and T2. STATISTICAL ANALYSIS: Changes in the food environment were conceptualized as exposure to changes in counts of food outlets across varying proximities (0.25 mile, 0.5 mile, and 1.0 mile) around a child's home, over different lengths of time a child was exposed to these changes before T2 (12 months, 18 months, and 24 months). Multivariate models examined patterns in relationships between changes in zBMI and changes in the food environment. RESULTS: Increased zBMIs were observed in children with greater exposure to convenience stores over time, with a consistent pattern of significant associations across varying proximities and lengths of exposure. For example, exposure to an additional convenience store over 24 months within 1 mile of a child's home resulted in 11.7% higher odds (P = 0.007) of a child being in a higher zBMI change category at T2. Lower zBMIs were observed in children with increased exposure to small grocery stores selling an array of healthy items, with exposure to an additional small grocery store within 1 mile over 24 months, resulting in 37.3% lower odds (P < 0.05) of being in a higher zBMI change category at T2. No consistent patterns were observed for changes in exposure to supermarkets, limited service restaurants, or pharmacies. CONCLUSIONS: Increased availability of small grocery stores near children's homes may improve children's weight status, whereas increased availability of convenience stores is likely to be detrimental.

Socioeconomic Disparities in Colon Cancer Survival: Revisiting Neighborhood Poverty Using Residential Histories.

BACKGROUND: Residential histories linked to cancer registry data provide new opportunities to examine cancer outcomes by neighborhood socioeconomic status (SES). We examined differences in regional stage colon cancer survival estimates comparing models using a single neighborhood SES at diagnosis to models using neighborhood SES from residential histories. METHODS: We linked regional stage colon cancers from the New Jersey State Cancer Registry diagnosed from 2006 to 2011 to LexisNexis administrative data to obtain residential histories. We defined neighborhood SES as census tract poverty based on location at diagnosis and across the follow-up period through 31 December 2016 based on residential histories (average, time-weighted average, time-varying). Using Cox proportional hazards regression, we estimated associations between colon cancer and census tract poverty measurements (continuous and categorical), adjusted for age, sex, race/ethnicity, regional substage, and mover status. RESULTS: Sixty-five percent of the sample was nonmovers (one census tract); 35% (movers) changed tract at least once. Cases from tracts with >20% poverty changed residential tracts more often (42%) than cases from tracts with <5% poverty (32%). Hazard ratios (HRs) were generally similar in strength and direction across census tract poverty measurements. In time-varying models, cases in the highest poverty category (>20%) had a 30% higher risk of regional stage colon cancer death than cases in the lowest category (<5%) (95% confidence interval [CI] = 1.04, 1.63). CONCLUSION: Residential changes after regional stage colon cancer diagnosis may be associated with a higher risk of colon cancer death among cases in high-poverty areas. This has important implications for postdiagnostic access to care for treatment and follow-up surveillance. See video abstract: http://links.lww.com/EDE/B705.

Changes in Tobacco Product Advertising at Point of Sale: 2015-2018.

OBJECTIVES: Tobacco point-of-sale advertising, particularly in retailers surrounding schools, is associated with youth tobacco use and must be monitored. This study examines how the point-of-sale environment surrounding youth changed over time with regard to diverse tobacco products. METHODS: Each spring from 2015 to 2018, research staff visited the same tobacco retailers (n = 141) within a half-mile of New Jersey high schools. For cigarettes, cigars, electronic cigarettes, and smokeless tobacco, advertisement presence, volume, and share of advertising voice (SAV) were measured for both the exterior and interior of the store. Analyses examined changes over time by product, controlling for store type and poverty. RESULTS: Over time, exterior cigarette advertisements declined in presence (61% to 49%) and SAV (50% to 40%), whereas interior advertisements maintained stable presence, volume, and SAV. In contrast, cigar advertisements increased in presence (exterior 11% to 23%; interior 19% to 30%) and volume (exterior mean 0.2 to 0.5; interior 0.3 to 0.8). For electronic cigarettes, exterior and interior advertising presence, volume, and SAV decreased from 2015 to 2017 but increased in 2018. Smokeless tobacco advertising was infrequent and stayed consistent except in volume in the interior of stores (mean 0.2 to 0.3). When there were any differences by store type, chain convenience stores had the most exterior and interior advertising for all products. CONCLUSIONS: The longitudinal changes observed for each product's advertising reflect national youth use rates of the corresponding products. The point-of-sale environment around schools may be influencing youth tobacco use and must be monitored and regulated.

Racial Disparities in Health Care Utilization at the End of Life Among New Jersey Medicaid Beneficiaries With Advanced Cancer.

PURPOSE: Racial and ethnic disparities in cancer care near the end of life (EOL) have been recognized, but EOL care experienced by Medicaid beneficiaries is not well understood. We assessed the prevalence of aggressive EOL care and hospice enrollment for Medicaid beneficiaries and determined whether racial and ethnic disparities exist. PATIENTS AND METHODS: We identified Medicaid beneficiaries (age 21-64 years) who were diagnosed from 2011 to 2015 with stage IV breast and colorectal cancer and who died by January 2016 through a New Jersey State Cancer Registry-Medicaid claims linked data set. We measured aggressive EOL care (> 1 hospitalization, > 1 emergency department [ED] visit, any intensive care unit [ICU] admission in the last 30 days of life, and receipt of chemotherapy in the last 14 days of life) and hospice enrollment. Multivariable logistic regression models were used to determine factors associated with aggressive EOL care and hospice enrollment. RESULTS: Of the 349 patients, 217 (62%) received at least one of the following measures of aggressive EOL care: > 1 hospitalization (27%), > 1 ED visit (31%), ICU admission (30%), and chemotherapy (34%). The adjusted odds of receiving any aggressive care were 1.87 times higher (95% CI, 1.08 to 3.26) for non-Hispanic (NH) Black patients compared with NH White patients. Only 39% of patients enrolled in hospice. No significant differences in hospice enrollment were observed by race or ethnicity. CONCLUSION: The majority of Medicaid patients with advanced cancer received aggressive EOL care and were not enrolled in hospice. NH Black patients were more likely to receive aggressive EOL care. Further work to understand processes leading to suboptimal EOL care within Medicaid populations and among racial and ethnic minority groups is warranted.

Should Bangladeshi Race Be Considered as an Independent Risk Factor for Multi Vessel Coronary Artery Disease?

INTRODUCTION: Coronary Artery Disease (CAD) continues to be on the rise not only in the Western developed world but also affecting the South Asian race, particularly Bangladeshis. The objectives of this study were as follows: To determine whether or not risk factors of Bangladeshis differ from non-Bangladeshis, whether there is any difference in the extent of CAD for both groups, and if there are risk factors that can significantly affect the extent of CAD. METHODS: All patients with a diagnosis of CAD admitted to our 800-bed tertiary care hospital between January 2001 and December 2015 were retrospectively analyzed. We reviewed the age, sex, body-mass index (BMI), cardiac risk factors such as family history of CAD, dyslipidemia, hypertension, diabetes and smoking. We also reviewed coronary angiographic findings of these consecutive 150 Bangladeshis and a randomly selected group of 193 non-Bangladeshis. RESULTS: A total of 343 medical records were evaluated, this included two groups: 193 non-Bangladeshis and 150 Bangladeshi subjects. The Bangladeshi group was older than the non-Bangladeshi group (63.49 vs 59.22, p-value=0.001), and included a larger proportion of males than the non-Bangladeshi group (28.7% vs 15.68%, p-value=0.0116). Bangladeshi subjects are more likely to be smokers than non-Bangladeshi (11.75% vs 6.67%, χ2=12.7, p-value=0.0004). Non-obstructive, 1-vessel, 2-vessel and 3-vessel accounts for 13.33%, 36.67%, 22%, and 28% for Bangladeshis, and 16.39%, 20.77% 34.43% and 28.42% for non-Bangladeshis, respectively. The difference of extent of CAD is significant between two groups (χ2 =12.397, p-value=0.0061). The findings suggest that Bangladeshi ethnicity has almost 2 times the likelihood of having 1-vessel CAD at coronary angiography (OR=2.361, 95% CI 1.452-3.839, p=0.0005). CONCLUSION: This study is a pivotal starting point for further evaluating the link between Bangladeshis and CAD. In our study we found that being Bangladeshi increases the risk of having CAD and may be an independent risk factor for multi-vessel CAD.

Prevalence of impostor phenomenon and assessment of well-being in pharmacy residents.

PURPOSE: The purpose of this study was to quantify the prevalence of impostor phenomenon (IP) and to assess well-being in pharmacy residents, as well as analyze the effects of demographics on these outcomes. METHODS: A cross-sectional, survey-based study was performed. Pharmacy residency program directors and pharmacy directors were asked to forward an invitation email to actively enrolled postgraduate year 1 (PGY1) and postgraduate year 2 pharmacy residents in March 2019. The survey used the Clance Impostor Phenomenon Scale (CIPS) to identify IP and the Mayo Clinic Resident/Fellow Well-Being Index (RWBI) to assess resident well-being. RESULTS: Survey respondents were mostly female, enrolled in PGY1 programs and single with no children. Of the 720 responses included in the study, 57.5% (n = 414) were identified as "impostors" (CIPS score of ≥62), with a mean CIPS score of 64.0 (SD, 15.0). Prior mental health treatment and increased hours worked per week were significant predictors of IP. The greatest correlation was found in those working greater than 80 hours per week compared to less than 60 hours per week (ß = 9.845; P < 0.001). The mean RWBI score was 4.2 (SD, 1.8), with 47.8% (n = 344) of residents scoring ≥5, the cutoff for identifying those at greatest risk of distress. Age, previous mental health treatment, and increasing hours worked per week were significant predictors of RWBI ≥5. CIPS and RWBI scores were found to exhibit weak but significant correlation (ρ = 0.357; P < 0.001). CONCLUSION: Pharmacy residents displayed significantly higher prevalence of IP vs comparable groups as well as significantly more distress with potential for a personal and/or professional consequence.

Prevalence of Electronic Cigarette Use Among Adolescents in New Jersey and Association With Social Factors.

Importance: Use of electronic cigarettes (e-cigarettes) is high among adolescents, but the extent to which the JUUL e-cigarette brand accounts for the high prevalence has not been explored using population-based surveys. Objective: To examine e-cigarette and JUUL use among adolescents in New Jersey. Design, Setting, and Participants: Survey study using data from the 2018 New Jersey Youth Tobacco Survey, a cross-sectional statewide representative survey of tobacco use. The survey was school based and sampled New Jersey students in grades 9 to 12. Exposures: Use of tobacco products; JUUL as first tobacco product tried; exposure to JUUL at school; number of friends perceived as JUUL users; liking or following a tobacco brand on social media; and buying or receiving tobacco-branded merchandise. Main Outcomes and Measures: Prevalence ratio (PR) for current and frequent e-cigarette use, inclusive of JUUL. Results: In this sample of 4183 adolescents, respondents were 49.6% female and 49.6% non-Hispanic white. Students were evenly distributed across grades 9 through 12. Overall, the estimate for current use of e-cigarettes inclusive of JUUL was higher (24.2%; 95% CI, 22.5%-25.9%) compared with current use assessed by use of e-cigarettes only (17.8%; 95% CI, 16.4%-19.4%) or JUUL use only (21.3%; 95% CI, 19.7%-23.0%). Divergence in e-cigarette use estimates was higher for certain subgroups, including female respondents and non-Hispanic black respondents. Also, 88.8% (95% CI, 86.6%-91.1%) of current e-cigarette users reported JUUL as a brand they used. Hispanic students (PR, 0.78; 95% CI, 0.69-0.89) and non-Hispanic students of other races (PR, 0.64; 95% CI, 0.51-0.81) were significantly less likely than non-Hispanic white students to be current e-cigarette users, and students in 12th grade were more likely than those in 9th grade to be current users (PR, 1.29; 95% CI, 1.11-1.48). Current e-cigarette use was positively associated with current use of other tobacco products (PR, 2.57; 95% CI, 2.24-2.95), endorsing a tobacco brand on social media (PR, 1.43; 95% CI, 1.19-1.72), having tobacco-branded merchandise (PR, 1.70; 95% CI, 1.46-1.97), having close friends who used JUUL (PR, 3.81; 95% CI, 3.17-4.58), and seeing JUUL used on school grounds (PR, 1.43; 95% CI, 1.24-1.65). Estimates of prevalence were greater when modeling frequent use. Conclusions and Relevance: This study found that prevalence of current and frequent e-cigarette use among adolescents was higher when inclusive of JUUL use, and JUUL was by far the most common e-cigarette brand used, providing support for inclusion of brand-specific questions when assessing e-cigarette use. The results also identify characteristics of adolescents who may be more likely to use e-cigarettes.

Estimating the effect of New Jersey's 2005 administrative nurse mandate on mortality and hospitalizations for medicare hemodialysis patients.

BACKGROUND AND OBJECTIVES: In 2005, the New Jersey Department of Health enacted a rule requiring that an administrator or designate always be present in a hemodialysis clinic and that the individual may not be involved in patient care activities at any time. Our investigation examines the effect of this unique rule on patient mortality and hospitalizations and is meant to inform the public policy discussion. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: We utilized a synthetic control estimation to analyze the effect of this rule on patient mortality in New Jersey. We also compared trends for hospitalizations in New Jersey to other similar states. RESULTS: We find no evidence that the law affected patient mortality or the number of hospitalizations for Medicare patients in New Jersey. CONCLUSIONS: The New Jersey law poses substantial costs to hemodialysis clinics and we find little evidence of any measurable benefit to patients.