Showing papers in "Journal of Public Health Management and Practice in 2021"

Revealing the Unequal Burden of COVID-19 by Income, Race/Ethnicity, and Household Crowding: US County Versus Zip Code Analyses

Abstract: OBJECTIVE: To overcome the absence of national, state, and local public health data on the unequal economic and social burden of COVID-19 in the United States DESIGN: We analyze US county COVID-19 deaths and confirmed COVID-19 cases and positive COVID-19 tests in Illinois and New York City zip codes by area percent poverty, percent crowding, percent population of color, and the Index of Concentration at the Extremes SETTING: US counties and zip codes in Illinois and New York City, as of May 5, 2020 MAIN OUTCOME MEASURES: Rates, rate differences, and rate ratios of COVID-19 mortality, confirmed cases, and positive tests by category of county and zip code-level area-based socioeconomic measures RESULTS: As of May 5, 2020, the COVID-19 death rate per 100 000 person-years equaled the following: 143 2 (95% confidence interval [CI]: 140 9, 145 5) vs 83 3 (95% CI: 78 3, 88 4) in high versus low poverty counties (≥20% vs <5% of persons below poverty);124 4 (95% CI: 122 7, 126 0) versus 48 2 (95% CI: 47 2, 49 2) in counties in the top versus bottom quintile for household crowding;and 127 7 (95% CI: 126 0, 129 4) versus 25 9 (95% CI: 25 1, 26 6) for counties in the top versus bottom quintile for the percentage of persons who are people of color Socioeconomic gradients in Illinois confirmed cases and New York City positive tests by zip code-level area-based socioeconomic measures were also observed CONCLUSIONS: Stark social inequities exist in the United States for COVID-19 outcomes We recommend that public health departments use these straightforward cost-effective methods to report on social inequities in COVID-19 outcomes to provide an evidence base for policy and resource allocation

Updating Health Literacy for Healthy People 2030: Defining Its Importance for a New Decade in Public Health.

Abstract: Content Healthy People 2030, the fifth iteration of the Healthy People initiative, provides science-based national health objectives with targets to improve the health and well-being of Americans. For the first time since its 1979 establishment, the Healthy People framework aims to attain health literacy as an overarching goal and foundational principle to achieving health and well-being. Growing literature on health literacy describes it as a concept not solely reliant on individual capabilities but also on organizations' ability to make health-related information and services equitably accessible and comprehensible. Program The US Department of Health and Human Services (HHS) updates the Healthy People objectives each decade based on the most current science. For the development of Healthy People 2030, HHS drew on recommendations from the Secretary's Advisory Committee on National Health Promotion and Disease Prevention Objectives for 2030 (Secretary's Advisory Committee), an independent advisory committee of national health experts, to update the 20-year old individual-focused Healthy People definition of health literacy. HHS solicited input from members of the public and users on the proposed changes to that definition. Implementation HHS published a Federal Register notice to solicit public comments, which were qualitatively analyzed by government staff. Evaluation The 2 separate analyses revealed plurality support for improving the definition to focus on both individual and organizational roles in health literacy. Results led HHS subject matter experts to update the definition to include definitions of personal health literacy and organizational health literacy. Healthy People 2030's expanded health literacy definition reflects the most current science and input from the Secretary's Advisory Committee, public comments, and HHS subject matter experts. Discussion The updated definition is intended to advance Healthy People 2030's health literacy goals particularly as more organizations in public health and other sectors acknowledge their role in the delivery of quality health information and services.

Addressing Health Equity and Social Determinants of Health Through Healthy People 2030.

Abstract: The evolution of Healthy People reflects growing awareness of health inequities over the life course. Each decade, the initiative has gained understanding of how the nation can achieve health and well-being. To inform Healthy People 2030's visionary goal of achieving health equity in the coming decade, the Secretary's Advisory Committee on National Health Promotion and Disease Prevention Objectives for 2030 (Secretary's Advisory Committee) provided the US Department of Health and Human Services with guidance on key terms, frameworks, and measurement for health equity. Conditions in the environments in which people are born, live, learn, work, play, worship, and age influence health and well-being outcomes, functioning, and quality-of-life outcomes and risks and are mostly responsible for health inequities. No single individual, organization, community, or sector has sole ownership, accountability, or capacity to sustain the health and well-being of an entire population. The COVID-19 pandemic in the United States highlights underlying inequities and disparities in health and health care across segments of the population. Contributing factors that were known prior to the pandemic have led to major discrepancies in rates of infection and death. To reduce health disparities and advance health equity, systems approaches-designed to shift interconnected aspects of public health problems-are needed.

COVID-19 Case Investigation and Contact Tracing: Early Lessons Learned and Future Opportunities.

Abstract: Context Case investigation and contact tracing are fundamental public health strategies for controlling and preventing the spread of infectious diseases. Although the principles behind these strategies are not new, the capacity and operational requirements needed to support disease investigation during the SARS-CoV-2 (COVID-19) pandemic are unprecedented. This article analyzes the implementation of case investigation and contact tracing in controlling COVID-19 transmission during the early stages of the US pandemic response (January 20 through August 31, 2020). Program implementation Governmental public health agencies mobilized to expand case investigation and contact tracing programs in the early months of the pandemic. In doing so, they encountered a range of challenges that included rapidly scaling up the workforce; developing and subsequently revising guidance and protocols specific to COVID-19 as more was learned about the virus over time; defining job functions; encouraging public acceptance of and participation in case investigation and contact tracing; and assessing the utility of these activities during both the containment and mitigation phases of outbreak response. COVID-19 case investigation and contact tracing programs presented an array of opportunities for health departments to innovate, especially around technology to support public health efforts, as well as opportunities to address health equity and advance community resilience. Conclusion Lessons learned from disease intervention specialists, guidance and resources from federal agencies and national partners, and peer-to-peer exchange of promising practices can support jurisdictions encountering early implementation challenges. Further research is needed to assess COVID-19 case investigation and contact tracing program models and innovations, as well as strategies for implementing these activities during containment and mitigation phases.

How Many SARS-CoV-2-Infected People Require Hospitalization? Using Random Sample Testing to Better Inform Preparedness Efforts.

Abstract: CONTEXT: Existing hospitalization ratios for COVID-19 typically use case counts in the denominator, which problematically underestimates total infections because asymptomatic and mildly infected persons rarely get tested. As a result, surge models that rely on case counts to forecast hospital demand may be inaccurately influencing policy and decision-maker action. OBJECTIVE: Based on SARS-CoV-2 prevalence data derived from a statewide random sample (as opposed to relying on reported case counts), we determine the infection-hospitalization ratio (IHR), defined as the percentage of infected individuals who are hospitalized, for various demographic groups in Indiana. Furthermore, for comparison, we show the extent to which case-based hospitalization ratios, compared with the IHR, overestimate the probability of hospitalization by demographic group. DESIGN: Secondary analysis of statewide prevalence data from Indiana, COVID-19 hospitalization data extracted from a statewide health information exchange, and all reported COVID-19 cases to the state health department. SETTING: State of Indiana as of April 30, 2020. MAIN OUTCOME MEASURES: Demographic-stratified IHRs and case-hospitalization ratios. RESULTS: The overall IHR was 2.1% and varied more by age than by race or sex. Infection-hospitalization ratio estimates ranged from 0.4% for those younger than 40 years to 9.2% for those older than 60 years. Hospitalization rates based on case counts overestimated the IHR by a factor of 10, but this overestimation differed by demographic groups, especially age. CONCLUSIONS: In this first study of the IHR based on population prevalence, our results can improve forecasting models of hospital demand-especially in preparation for the upcoming winter period when an increase in SARS CoV-2 infections is expected.

Are Nonprofit Hospitals Addressing the Most Critical Community Health Needs That They Identify in Their Community Health Needs Assessments

Abstract: Context Virtually all nonprofit hospitals are in compliance with the Affordable Care Act's new Community Health Needs Assessments requirements. Objective To assess what needs have emerged in the Community Health Needs Assessments hospitals complete nationally, the degree to which identified needs reflect the most pressing community health issues, and the extent to which hospitals address identified needs. Design Using both bivariate and logistic regressions, we analyzed the Community Health Needs Assessments and implementation strategies of nonprofit hospitals to determine whether identified needs overlapped with county health-ranking indicators of need and whether institutional or community-level factors predicted hospital willingness to address identified needs. Participants We included a 20% random sample of US nonprofit hospitals (n = 496). Main outcome measures Our main outcome measures were whether nonprofit hospitals addressed each of the most common needs. Results Mental health, access to care, obesity, substance abuse, diabetes, cancer, and the social determinants of health were the most commonly identified needs across the sample. The rate at which hospitals chose to address each of these needs in their implementation strategies, however, varied considerably, ranging from 56% (cancer) to 85% (obesity). We found that several institutional and community characteristics predicted hospital willingness to address each need; whether the community ranked a need as number 1 was a better predictor of hospital investment than the severity of the need, as measured by county health-rankings data. Conclusions These findings may help inform local, state, and federal policy makers as they consider interventions aimed at encouraging hospitals to invest in improving the health of their communities.

The New Public Health Workforce: Employment Outcomes of Public Health Graduate Students.

Abstract: Context Much has been written about the public health workforce, but very little research has been published-and none in a peer-reviewed journal or other report since 1992-regarding the employment outcomes and employment sectors of graduate students pursuing public health as an area of study. Objectives Our objectives were to review the literature and analyze data regarding the employment outcomes of public health graduate students and to examine how public health schools and programs might respond to changes in the sectors hiring their graduates. Design We reviewed the literature regarding the employment of public health graduates; analyzed 5 years of graduate outcomes from Columbia University's Mailman School of Public Health using logistic regression; and we examined data collected by the Association of Schools & Programs of Public Health. Participants The study included data from surveys of 2904 graduates of Columbia University's Mailman School of Public Health, across 5 graduating cohort years, for whom there were employment sector data available for 1932. Results Much of the research on the public health workforce has defined it as governmental public health. Across each of 5 graduating classes from Columbia University's Mailman School of Public Health, the odds of for-profit sector employment increased by 23% (2012-2016), while hiring by government agencies declined or remained flat. Publicly available employment data from the Web sites of schools of public health and from surveys by the Association of Schools & Programs of Public Health show that hiring of new graduates by for-profit corporations now either closely matches or exceeds governmental hiring at many schools of public health. Conclusions Public health graduates are increasingly working outside of government, and additional analyses are required to determine whether core competencies of public health curricula reflect the needs of the employers that are hiring public health graduates today. Schools and programs of public health should invest in their career services offices and gather input from employers that are currently hiring their graduates, especially as the sectors hiring them may be changing.

COVID-19 Sources of Information, Knowledge, and Preventive Behaviors Among the US Adult Population.

Abstract: CONTEXT: The COVID-19 pandemic has resulted in more than 20 million cases and 350 000 deaths in the United States. With the ongoing media coverage and spread of misinformation, public health authorities need to identify effective strategies and create culturally appropriate and evidence-based messaging that best encourage preventive health behaviors to control the spread of COVID-19. OBJECTIVE: The purpose of this study was to understand the relationship between COVID-19 sources of information and knowledge, and how US adults' knowledge may be associated with preventive health behaviors to help mitigate COVID-19 cases and deaths. DESIGN AND SETTING: For this cross-sectional study, survey data pertaining to COVID-19 were collected via online platform, Qualtrics, in February and May 2020. PARTICIPANTS: Data responses included 718 US adults from the February survey and 672 US adults from the May survey-both representative of the US adult population. MAIN OUTCOME MEASURES: Sociodemographic characteristics, COVID-19 knowledge score, COVID-19 reliable sources of information, and adherence to COVID-19 preventive health behaviors. RESULTS AND CONCLUSIONS: The main findings showed that disseminating COVID-19 information across various sources, particularly television, health care providers, and health officials, to increase people's COVID-19 knowledge contributes to greater adherence to infection prevention behaviors. Across February and May 2020 survey data, participants 55 years and older and those with higher educational background reported a higher average COVID-19 knowledge score. In addition, among the racial and ethnic categories, Black/African American and Native American/Alaska Native participants reported a lower average COVID-19 knowledge score than white participants-signaling the need to establish COVID-19 communication that is culturally-tailored and community-based. Overall, health care authorities must deliver clear and concise messaging about the importance of adhering to preventive health behaviors, even as COVID-19 vaccines become widely available to the general public. Health officials must also focus on increasing COVID-19 knowledge and dispelling misinformation.

Public Health Graduates and Employment in Governmental Public Health: Factors That Facilitate and Deter Working in This Setting.

Abstract: OBJECTIVES Previous surveys of public health graduates examine where they work; however, little is known about public health graduates' employment decisions or the factors that facilitate interest or deter interest in working in governmental public health settings. The purpose of the current pilot study was to build on the information previously collected in graduate surveys by expanding questions to undergraduates and asking about decisions and factors that influence choices of employment. METHODS A pilot survey of graduates of public health programs was conducted. Respondents provided information about their degree programs, year of graduation, and current employment. Questions asked where they applied for jobs, factors they considered, experiences with the application processes, and so forth. Descriptive statistics were calculated using frequencies and proportions. Open-ended responses were qualitatively reviewed and general themes were extracted. RESULTS Employment preferences were ranked the highest for not-for-profit organizations (ranked first among 21 of 62, 33.9%), followed by governmental public health agencies (ranked first among 18 of 62, 29.0%). Among master of public health graduates, 54.7% sought employment within this setting, although only 17.0% of those employed full time at the time of the survey were employed within a governmental public health agency. Job security (84.7%), competitive benefits (82.2%), identifying with the mission of the organization (82.2%), and opportunities for training/continuing education (80.6%) were the most influential, positive factors garnering interest in working in governmental public health. Factors that were the biggest deterrents included the ability to innovate (19.2%), competitive salary (17.8%), and autonomy/employee empowerment (15.3%). CONCLUSIONS Approximately half of the respondents applied for a job within governmental public health in anticipation of or since graduating. However, only a quarter of employed respondents are currently working within governmental public health, suggesting a missed opportunity for recruiting the other quarter who applied and were interested in governmental positions.

Population-Level Disparities in COVID-19: Measuring the Independent Association of the Proportion of Black Population on COVID-19 Cases and Deaths in US Counties.

Abstract: CONTEXT: There is a need to understand population race and ethnicity disparities in the context of sociodemographic risk factors in the US experience of the COVID-19 pandemic. OBJECTIVE: Determine the association between county-level proportion of non-Hispanic Black (NHB) on county COVID-19 case and death rates and observe how this association was influenced by county sociodemographic and health care infrastructure characteristics. DESIGN AND SETTING: This was an ecologic analysis of US counties as of September 20, 2020, that employed stepwise construction of linear and negative binomial regression models. The primary independent variable was the proportion of NHB population in the county. Covariates included county demographic composition, proportion uninsured, proportion living in crowded households, proportion living in poverty, population density, state testing rate, Primary Care Health Professional Shortage Area status, and hospital beds per 1000 population. MAIN OUTCOME MEASURES: Outcomes were exponentiated COVID-19 cases per 100 000 population and COVID-19 deaths per 100 000 population. We produced county-level maps of the measures of interest. RESULTS: In total, 3044 of 3142 US counties were included. Bivariate relationships between the proportion of NHB in a county and county COVID-19 case (Exp s = 1.026; 95% confidence interval [CI], 1.024-1.028; P < .001) and death rates (rate ratio [RR] = 1.032; 95% CI, 1.029-1.035; P < .001) were not attenuated in fully adjusted models. The adjusted association between the proportion of NHB population in a county and county COVID-19 case was Exp s = 1.025 (95% CI, 1.023-1.027; P < .001) and the association with county death rates was RR = 1.034 (95% CI, 1.031-1.038; P < .001). CONCLUSIONS: The proportion of NHB people in a county was positively associated with county COVID-19 case and death rates and did not change in models that accounted for other socioecologic and health care infrastructure characteristics that have been hypothesized to account for the disproportionate impact of COVID-19 on racial and ethnic minority populations. Results can inform efforts to mitigate the impact of structural racism of COVID-19.

Responding to the Pandemic: Challenges With Public Health Surveillance Systems and Development of a COVID-19 National Surveillance Case Definition to Support Case-Based Morbidity Surveillance During the Early Response.

Abstract: Responding to introductions of diseases and conditions of unknown etiology is a critical public health function. In late December 2019, investigation of a cluster of pneumonia cases of unknown origin in Wuhan, China, resulted in the identification of a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Multiple public health surveillance actions were rapidly implemented to detect introduction of the virus into the United States and track its spread including establishment of a national surveillance case definition and addition of the disease, coronavirus disease 2019, to the list of nationally notifiable conditions. Challenges in conducting effective case-based surveillance and the public health data supply chain and infrastructure are discussed.

Crisis Decision-Making at the Speed of COVID-19: Field Report on Issuing the First Regional Shelter-in-Place Orders in the United States.

Abstract: CONTEXT In March, 2020, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the causal agent of coronavirus disease 2019 (COVID-19), was spreading in the Bay Area, especially in Santa Clara County, causing increases in cases, hospitalizations, and deaths. PROGRAM The Association of Bay Area Health Officials (ABAHO) represents 13 Bay Area health jurisdictions. IMPLEMENTATION On March 15, 2020, the local health officers of 7 ABAHO members (counties of Alameda, Contra Costa, Marin, San Francisco, San Mateo, and Santa Clara and the city of Berkeley) decided to issue legal orders on March 16 for 6.7 million residents to shelter in place to prevent the spread of SARS-CoV-2, the causal agent of COVID-19. The Bay Area was the first region in the United States to shelter in place, and within days, other regions in the United States followed. EVALUATION Subsequent comparative analyses have confirmed that acting early in issuing shelter-in-place orders prevented a large number of cases, hospitalizations, and deaths in the Bay Area throughout the United States. The quality of a decision-in this case, for crisis decision making-cannot be judged by the outcome. A good decision can have a bad outcome, and a bad decision can have a good outcome. The quality of a decision depends only on the quality of the decision-making process at the time the decision was made. DISCUSSION In this Field Report, we review how we made this collective decision. With the benefit of hindsight and reflection, we recount our story through the lens of public health legal authority, meta-leadership, and decision intelligence. Our purpose is to improve the crisis decision-making skills of public health officials by improving how we make high-stakes decisions each day in our continuing fight to contain the SARS-CoV-2 pandemic, to save lives, and to eliminate COVID-19 racial/ethnic inequities.

Core Competency Gaps Among Governmental Public Health Employees With and Without a Formal Public Health Degree.

Abstract: OBJECTIVES To examine the role of a formal public health degree as it relates to core competency needs among governmental public health employees. DESIGN This cross-sectional study utilizes the 2017 Public Health Workforce Interests and Needs Survey (PH WINS). Bivariate relationships were analyzed by conducting χ tests of respondents' supervisory level and reported skill gaps. Multivariate logistic regressions of reported skill gaps were performed holding gender, age, race/ethnicity, highest degree attained, current employer, role type, tenure in current agency, and public health certificate attainment constant. SETTING Nationally representative sample of government public health employees. PARTICIPANTS A total of 30 276 governmental public health employees. MAIN OUTCOME MEASURE Self-reported competency skills gaps. RESULTS Among nonsupervisors, those with a public health degree had significantly lower odds of reporting a competency gap for 8 of the 21 skills assessed. Among supervisors/managers, those who had a formal public health degree had significantly lower odds of reporting a competency gap in 3 of the 22 skills assessed. Having a degree in public health was not significantly related to an executive's likelihood of reporting a skill gap across any of the 22 skills assessed. Regardless of supervisory level, having a public health degree was not associated with a reduced likelihood of reporting skill gaps in effective communication, budgeting and financial management, or change management competency domains. CONCLUSIONS Possessing a formal public health degree appears to have greater value for skills required at the nonsupervisor and supervisor/manager levels than for skills needed at the executive level. Future work should focus on longitudinal evaluations of skill gaps reported among the public health workforce as changes in public health curricula may shift over time in response to newly revised accreditation standards. In addition, public health education should increase emphasis on communication, budgeting, systems thinking, and other management skills among their graduates.

Diabetes Self-Care and Clinical Care Among Adults With Low Health Literacy.

Abstract: Objective Low health literacy has been associated with unfavorable health outcomes. We examined diabetes self- and clinical care measures among adults with diabetes by 3 dimensions of health literacy. Design/setting Questions about health literacy were available for optional use in the 2016 Behavioral Risk Factor Surveillance System. We analyzed 2016 Behavioral Risk Factor Surveillance System data from 4 states and the District of Columbia that had included both the Health Literacy and Diabetes optional modules. Participants Respondents who participated in the 2016 Behavioral Risk Factor Surveillance System in Alabama, Louisiana, Mississippi, Virginia, and Washington, District of Columbia, and completed both modules (n = 4397). Main outcome measures Health literacy was measured by level of difficulty (easy, difficult) with 3 health literacy tasks: getting health advice or information, understanding health information delivered orally by health professionals, and understanding written health information. Diabetes care measures included physical activity, self-monitoring blood glucose, self-checking feet, hemoglobin A1c testing, professional foot examination, flu vaccination, professional eye examination, dental visits, and diabetes self-management education. Results Among those with self-reported diabetes, 5.9% found it difficult to get health advice or information, 10.7% found it difficult to understand information health professionals told them, and 12.0% found it difficult to understand written health information. Those who found it difficult to get health advice or information had 44% to 56% lower adjusted odds of A1c testing, professional foot examinations, and dental visits; those who found it difficult to understand written health information had lower odds of self-monitoring glucose and self-checking feet. Difficulty understanding both oral and written health information was associated with never having taken a diabetes self-management class. Conclusions Our results suggest that problems with health literacy may be a barrier to good disease management among adults with diabetes and that health care providers should be attentive to the needs of patients with low health literacy, especially for diabetes-specific specialty care.

Healthy People 2030 Leading Health Indicators and Overall Health and Well-being Measures: Opportunities to Assess and Improve the Health and Well-being of the Nation.

Abstract: Context Released by the US Department of Health and Human Services (HHS) every decade since 1980, Healthy People identifies science-based objectives with targets to monitor progress and motivate and focus action. Healthy People 2030 is the current iteration of the Healthy People initiative. Program Healthy People 2030 includes 3 sets of measures-Healthy People 2030 objectives, Leading Health Indicators (LHIs), and Overall Health and Well-being Measures (OHMs). Collectively, these components of Healthy People 2030 drive progress toward the initiative's vision of "a society in which all people can achieve their full potential for health and well-being across the life span." Implementation The Healthy People 2030 LHIs and OHMs were developed with input from multiple subject matter experts and launched in December 2020. Designed as an entry point for users interested in improving the health of their communities and selected for their ability to improve health and well-being, the LHIs will be assessed annually. As broad, global outcome measures of overall health and well-being, the OHMs will be assessed at least 3 times before 2030. Evaluation The 23 LHIs are a subset of Healthy People 2030 core objectives that have been selected to drive action toward improved health and well-being. LHIs are intended to help organizations, communities, and states across the nation focus resources and efforts to improve the health and well-being of all people. The OHMs include 8 broad, global outcome measures of overall health and well-being that help assess progress toward the Healthy People 2030 vision. The Healthy People 2030 OHMs include the addition of a measure of overall well-being. Discussion Together with the Healthy People 2030 objectives, the LHIs and OHMs provide a plan of action to improve the health and well-being of the nation through a framework for assessing progress, addressing health disparities and social determinants of health, and advancing health equity.

Data-Driven Reopening of Urban Public Education Through Chicago's Tracking of COVID-19 School Transmission.

Abstract: Reopening in-person education in public schools during the coronavirus 2019 (COVID-19) pandemic requires careful risk-benefit analysis, with no current established metrics. Equity concerns in urban public schools such as decreased enrollment among largely Black and Latinx prekindergarten and special needs public school students already disproportionately impacted by the pandemic itself have added urgency to Chicago Department of Public Health's analysis of COVID-19 transmission. Close tracking within a large school system revealed a lower attack rate for students and staff participating in in-person learning than for the community overall. By combining local data from a large urban private school system with national and international data on maintaining in-person learning during COVID-19 surges, Chicago believes in-person public education poses a low risk of transmission when the operational burden imposed by the second wave has subsided.

Breast Cancer Population Screening Program Results in Early Detection and Reduced Treatment and Health Care Costs for Medicaid.

Abstract: Context The National Breast and Cervical Cancer Early Detection Program has increased access to screening services for low-income females since 1991; however, evaluation information from states implementing the program is sparse. This study evaluates the impact of the Missouri program, Show Me Healthy Women (SMHW), on early detection and treatment cost. Objective To estimate breast cancer treatment and health care services costs by stage at diagnosis among Missouri's Medicaid beneficiaries and assess the SMHW program impact. Design Analyzed Missouri Medicaid claims linked with Missouri Cancer Registry data for cases diagnosed 2008-2012 (N = 1388) to obtain unadjusted and incremental costs of female breast cancer treatment and follow-up care at 6, 12, and 24 months following diagnosis. Noncancer controls (N = 3840) were matched on age, race, and disability to determine usual health care cost. Regression analyses estimated the impact of stage at diagnosis on expenditures and incremental cost. Show Me Healthy Women participants were compared with other breast cancer patients on stage at diagnosis. A comparison of SMHW participants to themselves had they not been enrolled in the program was analyzed to determine cost savings. Results Expenditures increased by stage at diagnosis from in situ to distant with unadjusted cost at 24 months ranging from $50 245 for in situ cancers to $152 431 for distant cancers. Incremental costs increased by stage at diagnosis from 6 months at $7346, $11 859, $21 501, and $20 235 for in situ, localized, regional, and distant breast cancers, respectively, to $9728, $17 056, $38 840, and $44 409 at 24 months. A significantly higher proportion of SMHW participants were diagnosed at an early stage resulting in lower unadjusted expenditures and cost savings. Conclusions Although breast cancer treatment costs increased by stage at diagnosis, the population screening program's significant impact on early diagnosis resulted in important cost savings over time for Medicaid.

Community Characteristics and COVID-19 Outcomes: A Study of 159 Counties in Georgia, United States.

Abstract: BACKGROUND: The COVID-19 pandemic affects population groups differently, worsening existing social, economic, and health inequities. PURPOSE: This study examined 159 counties within Georgia to identify community characteristics associated with county-level COVID-19 case, hospitalization, and death rates. METHODS: Data from the 2020 County Health Rankings, the 2010 US Census, and the Georgia Department of Public Health COVID-19 Daily Status Report were linked using county Federal Information Processing Standard codes and evaluated through multivariable linear regression models. RESULTS: The percentages of children in poverty, severe housing problems, and people not proficient in the English language were significant predictors associated with increases in case, hospitalization, and death rates. Diabetic prevalence was significantly associated with increases in the hospitalization and death rates; in contrast, the percentages of people with excessive drinking and female were inversely associated with hospitalization and death rates. Other independent variables showing an association with death rate included the percentages of people reporting fair or poor health and American Indian/Alaska Native. IMPLICATION: Local authorities' proper allocation of resources and plans to address community social determinants of health are essential to mitigate disease transmission and reduce hospitalizations and deaths associated with COVID-19, especially among vulnerable groups.

Disparities in COVID-19 outcomes: understanding the root causes is key to achieving equity

Abstract: To eliminate disparities in COVID-19-related health outcomes, the collective actions must be intentional in 3 key areas: (1) access to health care;(2) social and structural determinants of health;and (3) structural and institutional racism. Fundamental to the success of this work is the need to have public dashboards with data by race/ethnicity and geography that not only create accountability for public health and elected officials but also allow private industry, health care providers, community-based organisations, and citizen scientists to contribute innovative solutions to the whole of community response. Disparities and inequities in health are not caused by one single factor and as such cannot be eliminated by a single intervention. Similarly, the root causes of disparities in any health indicator, including COVID-19, are multifactorial and require both short and long-term interventions. The most sustainable impact will be achieved through the long-term interventions and investments that address the social and structural determinants of health-those that are designed to achieve equity-granting us all the opportunity to achieve the best health.

Variation Among Public Health Interventions in Initial Efforts to Prevent and Control the Spread of COVID-19 in the 50 States, 29 Big Cities, and the District of Columbia.

Abstract: US states and big cities acted to protect the residents of their jurisdictions from the threat of SARS-CoV-2 infection and reduce COVID-19 transmission. As there were no known pharmacologic interventions to prevent COVID-19 at the outset of the pandemic, public health and elected leaders implemented a host of nonpharmaceutical interventions (NPIs) to slow the spread of the virus. This article discusses variation among states and cities in their implementation of 3 NPIs: stay-at-home/shelter-in-place orders, gathering restrictions, and mask mandates. We illustrate how frequently each was used by states and big cities, discuss state and local authorities to implement such interventions, and consider how these NPIs and accompanying public adherence to public health orders may vary considerably in different regions of the country and by local and state laws specific to state preemption of public health authority.

Establishment of Isolation and Noncongregate Hotels During COVID-19 and Symptom Evolution Among People Experiencing Homelessness-Atlanta, Georgia, 2020.

Abstract: CONTEXT: Local agencies across the United States have identified public health isolation sites for individuals with coronavirus disease 2019 (COVID-19) who are not able to isolate in residence. PROGRAM: We describe logistics of establishing and operating isolation and noncongregate hotels for COVID-19 mitigation and use the isolation hotel as an opportunity to understand COVID-19 symptom evolution among people experiencing homelessness (PEH). IMPLEMENTATION: Multiple agencies in Atlanta, Georgia, established an isolation hotel for PEH with COVID-19 and noncongregate hotel for PEH without COVID-19 but at risk of severe illness. PEH were referred to the isolation hotel through proactive, community-based testing and hospital-based testing. Daily symptoms were recorded prospectively. Disposition location was recorded for all clients. EVALUATION: During April 10 to September 1, 2020, 181 isolation hotel clients (77 community referrals; 104 hospital referrals) were admitted a median 3 days after testing. Overall, 32% of community referrals and 7% of hospital referrals became symptomatic after testing positive; 83% of isolation hotel clients reported symptoms at some point; 93% completed isolation. Among 302 noncongregate hotel clients, median stay was 18 weeks; 61% were discharged to permanent housing or had a permanent housing discharge plan. DISCUSSION: Overall, a high proportion of PEH completed isolation at the hotel, suggesting a high level of acceptability. Many PEH with COVID-19 diagnosed in the community developed symptoms after testing, indicating that proactive, community-based testing can facilitate early isolation. Noncongregate hotels can be a useful COVID-19 community mitigation strategy by bridging PEH at risk of severe illness to permanent housing.

An Analysis of How Characteristics of Local Health Department Jurisdictions Influence Involvement in PHAB Accreditation: Implications for Health Equity.

Abstract: Objective To explore how characteristics of local health department (LHD) jurisdictions impact involvement in Public Health Accreditation Board (PHAB) accreditation and to characterize the implications for health equity. Methods Data from the 2016 National Profile of LHDs survey were linked with data from the American Community Survey, National Center for Health Statistics, Behavioral Risk Factor Surveillance System, and the 2016 presidential election. Outcome measures included LHDs that were formally engaged in PHAB accreditation and LHDs that planned to apply for PHAB accreditation but were not formally engaged. Logistic regression was used to assess for the impact LHD jurisdictions' socioeconomic position, demographics, population health status, political ideology, and LHD organizational characteristics have on PHAB accreditation. Results Approximately 37% of the participants were formally engaged (n = 297) and planned to apply (n = 337) for PHAB accreditation. Involvement in PHAB accreditation was equal among LHDs based on poverty and income inequality, but median household income was negatively associated. Diverse jurisdictions were more likely to be involved in PHAB accreditation but less likely to be involved after controlling for covariates. Jurisdictions with worse population health status were either as likely or more likely to be involved in PHAB accreditation. Jurisdictions with a greater conservative political ideology were less likely to be involved. Conclusion LHD involvement in PHAB accreditation varies by their jurisdiction's characteristics. This has implications for health equity based on socioeconomic, racial, and population health status. Policies and practices are needed to improve the uptake of PHAB accreditation in LHD jurisdictions impacted most by health inequities.

New York State Local Health Department Preparedness for and Response to the COVID-19 Pandemic: An In-Progress Review.

Abstract: A mixed-methods approach was taken to describe lessons learned by local health department leaders during the early stages of the COVID-19 pandemic in New York State and to document leaders' assessments of their departments' emergency preparedness capabilities and capacities. Leaders participating in a survey rated the effectiveness of their department's capabilities and capacities in administrative and public health preparedness, epidemiology, and communications on a scale from 1 to 5; those partaking in focus groups answered open-ended questions about the same 4 topics. Subjects rated intragovernmental activities most effective ( = 4.41, SD = 0.83) and reported receiving assistance from other county agencies. They rated level of supplies least effective ( = 3.03, SD = 1.01), describing low supply levels and inequitable distribution of testing materials and personal protective equipment among regions. Local health departments in New York require more state and federal aid to maintain the public health workforce in preparation for future emergencies.