Racial and Ethnic Differences in Social Determinants of Health and Health-Related Social Needs Among Adults - Behavioral Risk Factor Surveillance System, United States, 2022.

Social determinants of health (SDOH) are a broad array of social and contextual conditions where persons are born, live, learn, work, play, worship, and age that influence their physical and mental wellbeing and quality of life. Using 2022 Behavioral Risk Factor Surveillance System data, this study assessed measures of adverse SDOH and health-related social needs (HRSN) among U.S. adult populations. Measures included life satisfaction, social and emotional support, social isolation or loneliness, employment stability, food stability/security, housing stability/security, utility stability/security, transportation access, mental well-being, and health care access. Prevalence ratios were adjusted for age, sex, education, marital status, income, and self-rated health. Social isolation or loneliness (31.9%) and lack of social and emotional support (24.8%) were the most commonly reported measures, both of which were more prevalent among non-Hispanic (NH) American Indian or Alaska Native, NH Black or African American, NH Native Hawaiian or other Pacific Islander, NH multiracial, and Hispanic or Latino adults than among NH White adults. The majority of prevalence estimates for other adverse SDOH and HRSN were also higher across all other racial and ethnic groups (except for NH Asian) compared with NH White adults. SDOH and HRSN data can be used to monitor needed social and health resources in the U.S. population and help evaluate population-scale interventions.

Sustainability Strategies for Multisector Community Partnerships Addressing Social Determinants of Health.

Multisector community partnerships (MCPs) are a key element of the public health approach to addressing social determinants of health (SDOH). The Improving SDOH-Getting Further Faster (GFF) retrospective evaluation of MCP-driven SDOH interventions was designed to generate practice-based evidence that can help guide partnerships' efforts to improve chronic disease outcomes and advance health equity by addressing SDOH. This article shares Year 2 GFF findings related to sustainability strategies for partnerships focused on SDOH and their interventions. GFF partnerships' reported sustainability strategies, including establishing shared goals and increasing partners' capacity for SDOH work through training, align well with the rich coalition building evidence base. Findings also indicate some evolution of sustainability strategies, such as adopting team-based, decentralized leadership models to help guard against partner or staff turnover. Organizations looking to form, fund, or provide technical assistance to MCPs that address SDOH can use the practice-based insights shared in this research brief to plan ahead for sustainability.

Engaging Community Health Workers in the Centers for Disease Control and Prevention's COVID-19 Public Health Response to Address Health Disparities and Build Community Resilience.

In 2021, the Centers for Disease Control and Prevention's (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) funded community health workers (CHWs) for COVID Response and Resilient Communities (CCR). CCR is a 3-year, $350 million initiative to implement CHW strategies aimed at reducing COVID-19 impacts, building resilience, and improving health equity by addressing health-related social needs. This paper describes the CCR initiative and experiences to date, underscoring CHWs' critical role in CDC's pandemic response. CCR funds 67 recipients to reach communities who are disproportionately affected by long-standing health disparities (hereafter, priority populations). CCR aims to decrease the impact of COVID-19 and increase community resilience to respond to COVID-19 and future public health emergencies. Recipients implement three strategies: train CHWs to support the COVID-19 response, increase the workforce of CHWs to manage the spread of the disease, and improve utilization of community and clinical resources to engage CHWs to help strengthen communities' resilience to mitigate the impact of COVID-19. We funded three additional organizations to provide technical assistance to CCR recipients and collaborate with us on a national evaluation of the program. CCR recipients hired about 950 CHWs and integrated these CHWs into over 1,000 organizations and care teams. At the end of the second program year, CHWs made over 250,000 referrals to social services and over 150,000 referrals to address specific health conditions. CCR demonstrates that CHWs can be quickly mobilized to participate in a public health emergency and reach those most affected by COVID-19.

The Development of Social Determinants of Health Outcome Measures: The Role of Multisector Partnerships and Community Validation.

PURPOSE: To develop a set of social determinants of health (SDOH) measurements. PROBLEM: Despite burgeoning interest in addressing both SDOH and health-related social needs, the evidence on what works is limited due in part to the lack of standardized measures for evaluation. METHODS: In 2020, the Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) identified 5 SDOH domains related to chronic disease for future programmatic work. These included built environment, community connections to clinical care, tobacco-free policies, social connectedness, and food and nutrition security. Subsequently, NCCDPHP launched an effort to develop a set of SDOH measures for evaluating funded programs in these domains. The approach involved a literature scan and a rating process based on 5 criteria relevant to NCCDPHP's SDOH priorities. A complementary community review by 13 multisector community partnerships (MCPs) applied a real-world public health practice lens to measure development. MCPs' ratings were analyzed to create summary scores for each measure, and open-ended feedback was synthesized using rapid qualitative analysis. RESULTS: The internal workgroup identified 59 measures from the initial 200 measures. Feedback from the MCPs identified issues of relevancy and burden of measures. Their high scores narrowed the 59 measures to 22 covering all 5 domains. In response, CDC is honing the original measures review criteria to include community perspectives. CONCLUSION: Public health measures development is often an academic pursuit. Engaging MCPs lends real-world credibility to the development of common SDOH measures.

The Community-Based Health Workforce in Public Health and Health Care Delivery.

CONTEXT: The "community-based workforce" is an umbrella term used by a workgroup of U.S. Department of Health and Human Services (HHS) leaders to characterize a variety of job titles and descriptions for positions in the public health, health care delivery, and human service sectors across local communities. APPROACH: Definitions, expectations of the scope of work, and funding opportunities for this workforce vary. To address some of these challenges, a workgroup of HHS agencies met to define the roles of this workforce and identify existing opportunities for training, career advancement, and compensation. DISCUSSION: The community-based workforce has demonstrated success in improving poor health outcomes and addressing the social determinants of health for decades. However, descriptions of this workforce, expectations of their roles, and funding opportunities vary. The HHS workgroup identified that comprehensive approaches are needed within HHS and via public health sectors to meet these challenges and opportunities. CONCLUSION: Using the common term "community-based workforce" across HHS can encourage alignment and collaboration. As the environment for this public health and health care community-based workforce shifts, it will be important to understand the value and opportunities available to ensure long-term sustainability for this workforce to continue to advance health equity.

Using the Prevention Impacts Simulation Model to Estimate Long-Term Impacts of Multisector Community Partnerships' Efforts to Address Social Determinants of Health.

Public health plays a key role in addressing social determinants of health (SDOH) through multisector community partnerships (MCPs), which contribute to community changes that promote healthy living; however, little is known about the longer-term impact of MCP-driven interventions. We used the Prevention Impacts Simulation Model (PRISM) in a rapid evaluation to better understand the implementation and potential impact of MCPs' SDOH initiatives. Results suggest that, if sustained, initiatives implemented by the 27 included MCPs may prevent 880 premature deaths and avert $125.7 million in medical costs over 20 years. As a validated model that estimates impact by using available implementation data, PRISM is a useful tool for evaluating SDOH initiatives.

Health Departments' Role in Addressing Social Determinants of Health in Collaboration With Multisector Community Partnerships.

Multisector community partnerships (MCPs) are key component of the public health strategy for addressing social determinants of health (SDOH) and promoting health equity. Governmental public health agencies are often members or leaders of MCPs, but few studies have examined the role of health departments in supporting MCPs' SDOH initiatives. We engaged 42 established MCPs in a rapid retrospective evaluation to better understand how MCPs' SDOH initiatives contribute to community changes that promote healthy living and improved health outcomes. As part of this work, we gained insights into how health departments support MCPs' SDOH initiatives, as well as opportunities for enhanced collaboration. Results indicate that health departments can support MCPs' SDOH initiatives through the provision of funding and technical assistance, data sharing, and connecting community organizations with shared missions, for example. Findings can be used to inform the development of funding opportunities and technical assistance for MCPs and health department partners.

Modifiable Risk Factors for Alzheimer Disease and Related Dementias Among Adults Aged ≥45 Years - United States, 2019.

Alzheimer disease,* the most common cause of dementia, affects an estimated 6.5 million persons aged ≥65 years in the United States (1). A growing body of evidence has identified potential modifiable risk factors for Alzheimer disease and related dementias (ADRD) (1-3). In 2021, the National Plan to Address Alzheimer's Disease (National Plan) introduced a new goal to "accelerate action to promote healthy aging and reduce risk factors for Alzheimer's disease and related dementias" to help delay onset or slow the progression of ADRD (3). To assess the status of eight potential modifiable risk factors (i.e., high blood pressure, not meeting the aerobic physical activity guideline, obesity, diabetes, depression, current cigarette smoking, hearing loss, and binge drinking), investigators analyzed data from the cognitive decline module that was administered to adults aged ≥45 years in 31 states and the District of Columbia (DC)† in the 2019 Behavioral Risk Factor Surveillance System (BRFSS) survey. Among the risk factors, prevalence was highest for high blood pressure (49.9%) and lowest for binge drinking (10.3%) and varied by selected demographic characteristics. Adults with subjective cognitive decline (SCD),§ an early indicator of possible future ADRD (4), were more likely to report four or more risk factors than were those without SCD (34.3% versus 13.1%). Prevalence of SCD was 11.3% overall and increased from 3.9% among adults with no risk factors to 25.0% among those with four or more risk factors. Implementing evidence-based strategies to address modifiable risk factors can help achieve the National Plan's new goal to reduce risk for ADRD while promoting health aging.¶,*.

Changes in Sales of E-Cigarettes, Cigarettes, and Nicotine Replacement Therapy Products Before, During, and After the EVALI Outbreak.

INTRODUCTION: In 2019, an outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) occurred in the US. We used Nielsen retail sales data to assess trends in sales of e-cigarettes, cigarettes, and nicotine replacement therapy (NRT) products before, during, and after the EVALI outbreak. METHODS: Monthly unit sales of e-cigarettes, cigarettes, and NRT products overall and by product type were assessed during January 2019 through June 2020 by using an interrupted time series model. Two time points were specified at the period ending July 13, 2019, and the period ending February 22, 2020, to partition before, during, and after the outbreak period. Sales trends by aggregated state-level EVALI case prevalence (low, medium, and high) were assessed to investigate interstate variations in changes of sales coinciding with the EVALI outbreak. RESULTS: Monthly e-cigarette sales increased 3.5% (P < .001) before the outbreak and decreased 3.1% (P < .001) during the outbreak, with no significant changes after the outbreak. Monthly cigarette sales increased 1.6% (P < .001) before the outbreak, decreased 1.8% (P < .001) during the outbreak, and increased 2.7% (P < .001) after the outbreak. NRT sales did not change significantly before or during the outbreak but decreased (2.8%, P = .01) after the outbreak. Sales trends by state-level EVALI case prevalence were similar to national-level sales trends. CONCLUSION: Cigarette and e-cigarette sales decreased during the EVALI outbreak, but no changes in overall NRT sales were observed until after the outbreak. Continued monitoring of tobacco sales data can provide insight into potential changes in use patterns and inform tobacco prevention and control efforts.

Provider perceptions of medication for opioid used disorder (MOUD): A qualitative study in communities with high opioid overdose death rates.

BACKGROUND: Medication for Opioid Use Disorder (MOUD) has been shown to be a safe, cost-effective intervention that successfully lowers risk of opioid overdose. However, access to and use of MOUD has been limited. Our objective was to explore attitudes, opinions, and beliefs regarding MOUD among healthcare and social service providers in a community highly impacted by the opioid overdose epidemic. METHODS: As part of a larger ethnographic study examining neighborhoods in Allegheny County, PA, with the highest opioid overdose death rates, semi-structured qualitative in-person and telephone interviews were conducted with forty-five providers treating persons with opioid use disorders in these communities. An open coding approach was used to code interview transcripts followed by thematic analysis. RESULTS: Three major themes were identified related to MOUD from the perspectives of our provider participants. Within a variety of health and substance use service roles and settings, provider reflections revealed: (1) different opinions about MOUD as a transition to abstinence or as a long-term treatment; (2) perceived lack of uniformity and dissemination of accurate information of MOUD care, permitting differences in care, and (3) observed barriers to entry and navigation of MOUD, including referrals as a "word-of-mouth insider system" and challenges of getting patients MOUD services when they need it. CONCLUSIONS: Even in communities hard hit by the opioid overdose epidemic, healthcare providers' disagreement about the standard of care for MOUD can be a relevant obstacle. These insights can inform efforts to improve MOUD treatment and access for people with opioid use disorders.

Comparison of Census Tract-Level Chronic Disease Prevalence Estimates From 500 Cities and Local Health Claims Data.

OBJECTIVES: To compare city and census tract-level diabetes and hypertension prevalence using 500 Cities Project modeled estimates from the Centers for Disease Control and Prevention (CDC) and insurance claims data. METHODS: Insurance claims by census tract were collected from 3 local health plans for the city of Pittsburgh, Pennsylvania, for 2015-2016; conditions were defined using International Classification of Diseases, Ninth Revision (ICD-9) and Tenth Revision (ICD-10) codes. Crude prevalence estimates with 95% confidence intervals were downloaded from the CDC 500 Cities Web site to obtain modeled estimates by census tract. Confidence intervals were calculated for claims and compared with modeled estimates; nonoverlapping intervals were considered significant. Pearson correlation coefficients were generated for census tract-level comparison. RESULTS: City-level model-based and claims estimates were 9% versus 10% for diabetes and 31% versus 21% for hypertension. At the census tract level, model-based and insurance claims estimates were more concordant for diabetes (r = 0.366) than for hypertension (r = 0.220). Modeled estimates were significantly higher than claims estimates for 89% of census tracts for hypertension and 35% for diabetes. CONCLUSIONS: Modeled estimates from the 500 Cites Project were significantly higher than insurance claims estimates for hypertension but were more consistent for diabetes. Utilization of multiple data sources to understand local-level chronic disease burden requires consideration of the strengths and limitations of each.

"Stories of starting": Understanding the complex contexts of opioid misuse initiation.

Background: The impacts of opioid use disorder and opioid-involved overdose are known, but less is known about the contexts in which people first misuse opioids, and the motivations for continued misuse. Methods: In-depth interviews with 26 individuals in Allegheny County, Pennsylvania with current or past histories of opioid misuse were conducted. Narratives were analyzed to understand the circumstances and influences contributing to initial and continued misuse of opioids. Results: Participants described social and familial contexts that normalized or accepted opioid misuse-this often included their own use of other illicit substances prior to initiating opioids. Participants also described initial use of opioids as related to efforts to cope with physical pain. They also described recognizing and then seeking psychological/emotional benefits from opioids. All three of these themes often overlapped and intersected in these stories of starting opioid misuse. Conclusions: Opioid misuse stemmed from complex interacting influences involving coping with physical and psychological pain, perception that opioids are needed to feel "normal", and acceptance or normalization of opioid use. This suggests a multi-pronged approach to both prevention and treatment are needed.

A rapid-cycle assessment strategy for understanding the opioid overdose epidemic in local communities.

Background: Certain communities in the United States experience greater opioid-involved overdose mortality than others. Interventions to stem overdose benefit from contextual understandings of communities' needs and strengths in addressing the opioid crisis. This project aims to understand multiple stakeholder perspectives on the opioid epidemic in communities disproportionately affected by opioid-involved overdose mortality. Methods: We performed a rapid-cycle qualitative assessment study utilizing in-depth interviews with community stakeholders and observations of community meetings in eight communities in Allegheny County, Pennsylvania, USA, disproportionately impacted by opioid-involved overdose mortality. Stakeholder categories included: current and past illicit users of opioids; medical and social service providers; emergency medical services; law enforcement; spouse or other family members of illicit users/former users of opioids; government officials; school officials; community members. Content analysis was utilized to identify themes and answer study questions. Regular feedback to stakeholders was provided to support targeted interventions. Results: We performed semi-structured, in-depth interviews with 130 community stakeholders and 29 community meeting observations in 2018-2019. Participants perceived similar economic and social determinants as origins of the opioid overdose epidemic including lack of economic resources, loss of jobs, transient populations and dilapidated housing. However, they differed in their awareness of and attention to the epidemic. Awareness was dependent on the visibility of opioid use (presence of paraphernalia litter, location of drug users, media coverage, and relationship to users). Overall, there was good knowledge of naloxone for opioid overdose reversal but less knowledge about local syringe services programs. Perceptions of harm reduction efforts were ambivalent. Conclusions: Members of communities impacted by the opioid epidemic perceived that economic downturn was a major factor in the opioid overdose epidemic. However, the varied beliefs within and between communities suggest that interventions need to be tailored according to the cultural norms of place.

Potential Indirect Effects of the COVID-19 Pandemic on Use of Emergency Departments for Acute Life-Threatening Conditions - United States, January-May 2020.

On March 13, 2020, the United States declared a national emergency in response to the coronavirus disease 2019 (COVID-19) pandemic. Subsequently, states enacted stay-at-home orders to slow the spread of SARS-CoV-2, the virus that causes COVID-19, and reduce the burden on the U.S. health care system. CDC* and the Centers for Medicare & Medicaid Services (CMS)† recommended that health care systems prioritize urgent visits and delay elective care to mitigate the spread of COVID-19 in health care settings. By May 2020, national syndromic surveillance data found that emergency department (ED) visits had declined 42% during the early months of the pandemic (1). This report describes trends in ED visits for three acute life-threatening health conditions (myocardial infarction [MI, also known as heart attack], stroke, and hyperglycemic crisis), immediately before and after declaration of the COVID-19 pandemic as a national emergency. These conditions represent acute events that always necessitate immediate emergency care, even during a public health emergency such as the COVID-19 pandemic. In the 10 weeks following the emergency declaration (March 15-May 23, 2020), ED visits declined 23% for MI, 20% for stroke, and 10% for hyperglycemic crisis, compared with the preceding 10-week period (January 5-March 14, 2020). EDs play a critical role in diagnosing and treating life-threatening conditions that might result in serious disability or death. Persons experiencing signs or symptoms of serious illness, such as severe chest pain, sudden or partial loss of motor function, altered mental state, signs of extreme hyperglycemia, or other life-threatening issues, should seek immediate emergency care, regardless of the pandemic. Clear, frequent, highly visible communication from public health and health care professionals is needed to reinforce the importance of timely care for medical emergencies and to assure the public that EDs are implementing infection prevention and control guidelines that help ensure the safety of their patients and health care personnel.

Risk Factors for E-Cigarette, or Vaping, Product Use-Associated Lung Injury (EVALI) Among Adults Who Use E-Cigarette, or Vaping, Products - Illinois, July-October 2019.

The United States is experiencing an unprecedented outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) (1). All EVALI patients have used e-cigarette, or vaping, products, and most (≥85%) have reported using products containing tetrahydrocannabinol (THC) (2,3), the principal psychoactive component of cannabis. To examine whether e-cigarette, or vaping, product use behaviors differed between adult EVALI patients and adults who use these products but have not developed lung injury, the Illinois Department of Public Health (IDPH) conducted an online public survey during September-October 2019 targeting e-cigarette, or vaping, product users in Illinois. Among 4,631 survey respondents, 94% reported using any nicotine-containing e-cigarette, or vaping, products in the past 3 months; 21% used any THC-containing products; and 11% used both THC-containing products and nicotine-containing products. Prevalence of THC-containing product use was highest among survey respondents aged 18-24 years (36%) and decreased with increasing age. E-cigarette, or vaping, product use behaviors of 66 EVALI patients aged 18-44 years who were interviewed as part of the ongoing outbreak investigation were compared with a subset of 519 survey respondents aged 18-44 years who reported use of THC-containing e-cigarette, or vaping, products. Compared with these survey respondents, EVALI patients had higher odds of reporting exclusive use of THC-containing products (adjusted odds ratio [aOR] = 2.0, 95% confidence interval [CI] = 1.1-3.6); frequent use (more than five times per day) of these products (aOR = 3.1, 95% CI = 1.6-6.0), and obtaining these products from informal sources, such as a dealer, off the street, or from a friend (aOR = 9.2, 95% CI = 2.2-39.4). The odds of using Dank Vapes, a class of largely counterfeit THC-containing products, was also higher among EVALI patients (aOR = 8.5, 95% CI = 3.8-19.0). These findings reinforce current recommendations not to use e-cigarette, or vaping, products that contain THC and not to use any e-cigarette, or vaping, products obtained from informal sources. In addition, because the specific compound or ingredient causing lung injury is not yet known, CDC continues to recommend that persons consider refraining from use of all e-cigarette, or vaping, products while the outbreak investigation continues (1).

Severe Pulmonary Disease Associated with Electronic-Cigarette-Product Use - Interim Guidance.

On September 6, 2019, this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). As of August 27, 2019, 215 possible cases of severe pulmonary disease associated with the use of electronic cigarette (e-cigarette) products (e.g., devices, liquids, refill pods, and cartridges) had been reported to CDC by 25 state health departments. E-cigarettes are devices that produce an aerosol by heating a liquid containing various chemicals, including nicotine, flavorings, and other additives (e.g., propellants, solvents, and oils). Users inhale the aerosol, including any additives, into their lungs. Aerosols produced by e-cigarettes can contain harmful or potentially harmful substances, including heavy metals such as lead, volatile organic compounds, ultrafine particles, cancer-causing chemicals, or other agents such as chemicals used for cleaning the device (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis, or other drugs; for example, "dabbing" involves superheating substances that contain high concentrations of THC and other plant compounds (e.g., cannabidiol) with the intent of inhaling the aerosol. E-cigarette users could potentially add other substances to the devices. This report summarizes available information and provides interim case definitions and guidance for reporting possible cases of severe pulmonary disease. The guidance in this report reflects data available as of September 6, 2019; guidance will be updated as additional information becomes available.