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Key PointsQuestionWhat are the spatial and temporal trends in suicide rates, how are contextual-level factors associated with suicide, and do these associations vary across the rural-urban continuum?FindingsThis cross-sectional study found that suicide rates in the United States increased from 1999 to 2016, with the greatest increase in rural counties. Deprivation had a disproportionately negative association with suicide rates in rural counties, the presence of gun shops and a higher percentage of uninsured individuals were associated with higher suicide rates, and high social capital was associated with lower suicide rates.MeaningUnderstanding geographical differences in suicide rates and community-level risk and protective factors can inform development and implementation of targeted suicide prevention strategies.

BACKGROUND For persons who have an out-of-hospital cardiac arrest, the probability of receiving bystander-initiated cardiopulmonary resuscitation (CPR) may be influenced by neighborhood characteristics. METHODS We analyzed surveillance data prospectively submitted from 29 U.S. sites to the Cardiac Arrest Registry to Enhance Survival between October 1, 2005, and December 31, 2009. The neighborhood in which each cardiac arrest occurred was determined from census-tract data. We classified neighborhoods as high-income or low-income on the basis of a median household income threshold of $40,000 and as white or black if more than 80% of the census tract was predominantly of one race. Neighborhoods without a predominant racial composition were classified as integrated. We analyzed the relationship between the median income and racial composition of a neighborhood and the performance of bystander-initiated CPR. RESULTS Among 14,225 patients with cardiac arrest, bystander-initiated CPR was provided to 4068 (28.6%). As compared with patients who had a cardiac arrest in high-income white neighborhoods, those in low-income black neighborhoods were less likely to receive bystander-initiated CPR (odds ratio, 0.49; 95% confidence interval [CI], 0.41 to 0.58). The same was true of patients with cardiac arrest in neighborhoods characterized as low-income white (odds ratio, 0.65; 95% CI, 0.51 to 0.82), low-income integrated (odds ratio, 0.62; 95% CI, 0.56 to 0.70), and high-income black (odds ratio, 0.77; 95% CI, 0.68 to 0.86). The odds ratio for bystander-initiated CPR in high-income integrated neighborhoods (1.03; 95% CI, 0.64 to 1.65) was similar to that for high-income white neighborhoods. CONCLUSIONS In a large cohort study, we found that patients who had an out-of-hospital cardiac arrest in low-income black neighborhoods were less likely to receive bystander-initiated CPR than those in high-income white neighborhoods. (Funded by the Centers for Disease Control and Prevention and others.)

In this paper we compare physician referral patterns, quality, patient satisfaction, and community benefits of physician-owned specialty versus peer competitor hospitals. Our results are based on evidence gathered from site visits to six markets, 2003 Medicare claims, patient focus groups, and Internal Revenue Service data. Although physicianowners are more likely than others to refer to their own facilities and treat a healthier population, there are rationales for these patterns aside from motives for profit. Specialty hospitals provide generally high-quality care to satisfied patients. Uncompensated care plus specialty hospitals' taxes represent a greater burden, in percentage terms, than community benefits provided by nonprofit providers. [Health Affairs 25, no. 1 (2006): 106-118] A s pa rt o f t h e m e d i c a r e p r e s c r i p t i o n d ru g, Improvement, and Modernization Act (MMA) of 2003, Congress established an eighteenmonth moratorium on the development and expansion of new physicianowned specialty hospitals. The central concern among policymakers is whether these hospitals enjoy an unfair competitive advantage relative to other community hospitals. During the moratorium, Congress required the Medicare Payment Advisory Commission (MedPAC) and the Centers for Medicare and Medicaid Services (CMS) to report on two different aspects of this issue. At issue is whether specialty hospitals' physician-owners are able to control the referral of patients, choosing between their own facilities and other hospitals in the community, in a way that results in favorable selection. Other related issues are whether specialty hospitals provide high-quality care, how their patients perceive care, and what types of community benefits they contribute in their markets. Although the con-1 0 6 J a n u a r y / F e b r u a r y 2 0 0 6

BACKGROUND-For persons who have an out-of-hospital cardiac arrest, the probability of receiving bystander-initiated cardiopulmonary resuscitation (CPR) may be influenced by neighborhood characteristics.

Objectives. To examine trends in opioid overdose deaths by race/ethnicity from 2018 to 2019 across 67 HEALing Communities Study (HCS) communities in Kentucky, New York, Massachusetts, and Ohio. Methods. We used state death certificate records to calculate opioid overdose death rates per 100 000 adult residents of the 67 HCS communities for 2018 and 2019. We used Poisson regression to calculate the ratio of 2019 to 2018 rates. We compared changes by race/ethnicity by calculating a ratio of rate ratios (RRR) for each racial/ethnic group compared with non-Hispanic White individuals. Results. Opioid overdose death rates were 38.3 and 39.5 per 100 000 for 2018 and 2019, respectively, without a significant change from 2018 to 2019 (rate ratio = 1.03; 95% confidence interval [CI] = 0.98, 1.08). We estimated a 40% increase in opioid overdose death rate for non-Hispanic Black individuals (RRR = 1.40; 95% CI = 1.22, 1.62) relative to non-Hispanic White individuals but no change among other race/ethnicities. Conclusions. Overall opioid overdose death rates have leveled off but have increased among non-Hispanic Black individuals. Public Health Implications. An antiracist public health approach is needed to address the crisis of opioid-related harms. (Am J Public Health. Published online ahead of print September 9, 2021:e1–e4. https://doi.org/10.2105/AJPH.2021.306431 )

Indoor and outdoor number concentrations of fine particulate matter (PM2.5), black carbon (BC), carbon monoxide (CO), and nitrogen dioxide (NO2) were monitored continuously for two to seven days in 28 low-income homes in Denver, Colorado, during the 2016 and 2017 wildfire seasons. In the absence of indoor sources, all outdoor pollutant concentrations were higher than indoors except for CO. Results showed that long-range wildfire plumes elevated median indoor PM2.5 concentrations by up to 4.6 times higher than outdoors. BC, CO, and NO2 mass concentrations were higher indoors in homes closer to roadways compared to those further away. Four of the homes with mechanical ventilation systems had 18% higher indoor/outdoor (I/O) ratios of PM2.5 and 4% higher I/O ratios of BC compared to other homes. Homes with exhaust stove hoods had PM2.5 I/O ratios 49% less than the homes with recirculating hoods and 55% less than the homes with no stove hoods installed. Homes with windows open for more than 12 hours a day during sampling had indoor BC 2.4 times higher than homes with windows closed. This study provides evidence that long-range wildfire plumes, road proximity, and occupant behavior have a combined effect on indoor air quality in low-income homes.

Summary:The International Initiative on Spatial Lifecourse Epidemiology (ISLE) convened its first International Symposium on Lifecourse Epidemiology and Spatial Science at the Lorentz Center in Leiden, Netherlands, 16–20 July 2018. Its aim was to further an emerging transdisciplinary field: Spatial Lifecourse Epidemiology. This field draws from a broad perspective of scientific disciplines including lifecourse epidemiology, environmental epidemiology, community health, spatial science, health geography, biostatistics, spatial statistics, environmental science, climate change, exposure science, health economics, evidence-based public health, and landscape ecology. The participants, spanning 30 institutions in 10 countries, sought to identify the key issues and research priorities in spatial lifecourse epidemiology. The results published here are a synthesis of the top 10 list that emerged out of the discussion by a panel of leading experts, reflecting a set of grand challenges for spatial lifecourse epidemiology in the coming years. https://doi.org/10.1289/EHP4868