Associations between 1930s HOLC grades and estimated population burden of cardiovascular disease risk factors in 2020.

Studies have recently begun to explore the potential long-term health impacts of homeownership policies implemented in the New Deal era. We investigated the association between assigned grades of lending risk by the Home Owners' Load Corporation (HOLC) maps from the 1930s and present-day prevalence of three cardiovascular risk factors (diabetes and obesity in 2020, and hypertension in 2019), estimated at the census tract level in the United States. To minimize potential confounding, we adjusted for sociodemographic data from the time period when HOLC maps were made.

State-Level Firearm Laws and Firearm Homicide in US Cities: Heterogenous Associations by City Characteristics.

Despite well-studied associations of state firearm laws with lower state- and county-level firearm homicide, there is a shortage of studies investigating differences in the effects of distinct state firearm law categories on various cities within the same state using identical methods. We examined associations of 5 categories of state firearm laws-pertaining to buyers, dealers, domestic violence, gun type/trafficking, and possession-with city-level firearm homicide, and then tested differential associations by city characteristics. City-level panel data on firearm homicide cases of 78 major cities from 2010 to 2020 was assessed from the Centers for Disease Control and Prevention's National Vital Statistics System.

Associations between a Novel Measure of Census Tract-Level Credit Insecurity and Frequent Mental Distress in US Urban Areas, 2020.

Access to and utilization of consumer credit remains an understudied social determinant of health. We examined associations between a novel, small-area, multidimensional credit insecurity index (CII), and the prevalence of self-reported frequent mental distress across US cities in 2020. The census tract-level CII was developed by the Federal Reserve Bank of New York using Census population information and a nationally representative sample of anonymized Equifax credit report data.

Validation of a geospatial aggregation method for congressional districts and other US administrative geographies.

Stakeholders need data on health and drivers of health parsed to the boundaries of essential policy-relevant geographies. US Congressional Districts are an example of a policy-relevant geography which generally lack health data. One strategy to generate Congressional District heath data metric estimates is to aggregate estimates from other geographies, for example, from counties or census tracts to Congressional Districts.

Life Expectancy and Built Environments in the U.S.: A Multilevel Analysis.

Introduction: The purpose of this study is to examine the associations between built environments and life expectancy across a gradient of urbanicity in the U.S.

Methods: Census tract‒level estimates of life expectancy between 2010 and 2015, except for Maine and Wisconsin, from the U.

Health and Equity Data to Teach the Next Generation of Public Health Leaders.

The COVID-19 pandemic restructured university learning environments while also underscoring the need for granular local health data. We describe how the University of Memphis School of Public Health used the City Health Dashboard, an online resource providing data at the city and neighborhood level for more than 35 measures of health outcomes, health drivers, and health equity for all US cities with populations >50 000, to enrich students' learning of applying data to community health policy. By facilitating students' engagement with population needs, assets, and capacities that affect communities' health-key components of the master of public health accreditation process-the Dashboard supports in-person and virtual learning at undergraduate and graduate levels and is recommended as a novel and rigorous data source for public health trainees.

Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health.

In response to rapidly changing societal conditions stemming from the COVID-19 pandemic, we summarize data sources with potential to produce timely and spatially granular measures of physical, economic, and social conditions relevant to public health surveillance, and we briefly describe emerging analytic methods to improve small-area estimation. To inform this article, we reviewed published systematic review articles set in the United States from 2015 to 2020 and conducted unstructured interviews with senior content experts in public heath practice, academia, and industry. We identified a modest number of data sources with high potential for generating timely and spatially granular measures of physical, economic, and social determinants of health.

Validation of a neighborhood-level COVID Local Risk Index in 47 large U.S. cities.

Objectives: To present the COVID Local Risk Index (CLRI), a measure of city- and neighborhood-level risk for SARS COV-2 infection and poor outcomes, and validate it using sub-city SARS COV-2 outcome data from 47 large U.S. cities.

Neighborhood-level Asian American Populations, Social Determinants of Health, and Health Outcomes in 500 US Cities.

Introduction: The US Asian American (AA) population is projected to double by 2050, reaching ~43 million, and currently resides primarily in urban areas. Despite this, the geographic distribution of AA subgroup populations in US cities is not well-characterized, and social determinants of health (SDH) and health measures in places with significant AA/AA subgroup populations have not been described. Our research aimed to: 1) map the geographic distribution of AAs and AA subgroups at the city- and neighborhood- (census tract) level in 500 large US cities (population ≥66,000); 2) characterize SDH and health outcomes in places with significant AA or AA subgroup populations; and 3) compare SDH and health outcomes in places with significant AA or AA subgroup populations to SDH and health outcomes in places with significant non-Hispanic White (NHW) populations.

Social and Economic Differences in Neighborhood Walkability Across 500 U.S. Cities.

Introduction: Neighborhood walkability has been established as a potentially important determinant of various health outcomes that are distributed inequitably by race/ethnicity and sociodemographic status. The objective of this study is to assess the differences in walkability across major urban centers in the U.S.

Health and Health Determinant Metrics for Cities: A Comparison of County and City-Level Data.

We evaluated whether using county-level data to characterize public health measures in cities biases the characterization of city populations. We compared 4 public health and sociodemographic measures in 447 US cities (percent of children living in poverty, percent of non-Hispanic Black population, age-adjusted cardiovascular disease mortality, life expectancy at birth) to the same measures calculated for counties that contain those cities. We found substantial and highly variable city-county differences within and across metrics, which suggests that use of county data to proxy city measures could hamper accurate allocation of public health resources and appreciation of the urgency of public health needs in specific locales.

Leveraging Population Health Expertise to Enhance Community Benefit.

As the Internal Revenue Service strengthens the public health focus of community benefit regulations, and many states do the same with their tax codes, hospitals are being asked to look beyond patients in their delivery system to understand and address the needs of geographic areas. With the opportunities this affords come challenges to be addressed. The regulations' focus on population health is not limited to a defined clinical population-and the resulting emphasis on upstream determinants of health and community engagement is unfamiliar territory for many healthcare systems.

Community Health Worker Intervention in Subsidized Housing: New York City, 2016-2017.

From April 2016 to June 2017, the Health + Housing Project employed four community health workers who engaged residents of two subsidized housing buildings in New York City to address individuals' broadly defined health needs, including social and economic risk factors. Following the intervention, we observed significant improvements in residents' food security, ability to pay rent, and connection to primary care. No immediate change was seen in acute health care use or more narrowly defined health outcomes.

The Emergence of Population Health in US Academic Medicine: A Qualitative Assessment.

Importance: In response to rapidly growing interest in population health, academic medical centers are launching department-level initiatives that focus on this evolving discipline. This trend, with its potential to extend the scope of academic medicine, has not been well characterized.

Objective: To describe the emergence of departments of population health at academic medical centers in the United States, including shared areas of focus, opportunities, and challenges.

City-Level Measures of Health, Health Determinants, and Equity to Foster Population Health Improvement: The City Health Dashboard.

Objectives: To support efforts to improve urban population health, we created a City Health Dashboard with area-specific data on health status, determinants of health, and equity at city and subcity (census tract) levels.

Methods: We developed a Web-based resource that includes 37 metrics across 5 domains: social and economic factors, physical environment, health behaviors, health outcomes, and clinical care. For the largest 500 US cities, the Dashboard presents metrics calculated to the city level and, where possible, subcity level from multiple data sources, including national health surveys, vital statistics, federal administrative data, and state education data sets.

Advancing Population Health at Academic Medical Centers: A Case Study and Framework for an Emerging Field.

The Triple Aim framework for advancing health care transformation elevated population health improvement as a central goal, together with improving patient experiences and reducing costs. Though population health improvement is often viewed in the context of clinical care delivery, broader-reaching approaches that bridge health care delivery, public health, and other sectors to foster area-wide health gains are gathering momentum. Academic medical centers (AMCs) across the United States are poised to play key roles in advancing population health and have begun to structure themselves accordingly.

Measuring Population Health in a Large Integrated Health System to Guide Goal Setting and Resource Allocation: A Proof of Concept.

In integrated health care systems, techniques that identify successes and opportunities for targeted improvement are needed. The authors propose a new method for estimating population health that provides a more accurate and dynamic assessment of performance and priority setting. Member data from a large integrated health system (n = 96,246, 73.

Evaluation of the Substance Abuse Research and Education Training (SARET) program: Stimulating health professional students to pursue careers in substance use research.

Background: We developed and implemented the Substance Abuse Research Education and Training (SARET) program for medical, dental, nursing, and social work students to address the dearth of health professionals pursuing research and careers in substance use disorders (SUD). SARET has 2 main components: (1) a novel online curriculum addressing core SUD research topics, to reach a large number of students; (2) a mentored summer research experience for in-depth exposure.

Methods: Modules were integrated into the curricula of the lead institution, and of 5 external schools.

Project SARET: An interprofessional education (IPE) lens examines substance use disorders research education for health professional students.

The NIDA funded Substance Abuse Education, Research and Training (SARET) Program addresses the compelling need for health professionals prepared to engage in substance use disorders (SUD) research. The goal of this interprofessional project, structured by an Executive Committee of co-investigators from the disciplines of medicine, nursing, social work and dentistry, is to increase the skills of students from each discipline for interprofessional research collaboration and early career-development opportunities in SUD research. The development of web-based modules, interprofessional seminars and a model mentorship program were designed as well, for dissemination and evaluation by other health professional schools.

Addiction Research Training Programs: Four Case Studies and Recommendations for Evaluation.

: The presence of structured addiction research training programs helps to ensure that the scientific workforce includes well-trained, diverse scientists necessary to reduce the negative impact of alcohol, drug, and tobacco use disorders. Although the field has made significant progress in the development of standards for clinical training in addiction medicine, there remains significant room for improvement in the training of addiction researchers, and also opportunities to synergize across addiction research training programs. The purpose of this commentary is to describe 4 National Institutes of Health (NIH)-sponsored addiction research training programs, highlight critical components, and provide recommendations for more comprehensive and effective program evaluation.

Integration and Evaluation of Substance Abuse Research Education Training (SARET) into a Master of Social Work program.

Background: The Substance Abuse Research and Education Training (SARET) program is funded by the National Institutes of Drug Abuse in 2006 as a novel approach to spark interest in substance abuse research among medical, dental, nursing, and social work graduate students through a Web-based curriculum and research mentorships. This report presents the initial integration of the intervention in a Master of Social Work (MSW) program, the components of the program, and the mixed-methods evaluation of its effect on students' attitudes towards substance abuse research and treatment.

Methods: SARET comprises 2 main components: stipend-supported research mentorships and a Web-based module series, consisting of 6 interactive, multimedia modules addressing core SA research topics, delivered via course curricula and in the research mentorships.

Public sector low threshold office-based buprenorphine treatment: outcomes at year 7.

Background: Buprenorphine maintenance for opioid dependence remains of limited availability among underserved populations, despite increases in US opioid misuse and overdose deaths. Low threshold primary care treatment models including the use of unobserved, "home," buprenorphine induction may simplify initiation of care and improve access. Unobserved induction and long-term treatment outcomes have not been reported recently among large, naturalistic cohorts treated in low threshold safety net primary care settings.