State Public Health Departments Research Articles

Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks.

Staff at public health departments have few training materials to learn how to design and fine-tune systems to quickly detect acute, localized, community-acquired outbreaks of infectious diseases. Since 2014, the Bureau of Communicable Disease at the New York City Department of Health and Mental Hygiene has analyzed reportable communicable diseases daily using SaTScan. SaTScan is a free software that analyzes data using scan statistics, which can detect increasing disease activity without a priori specification of temporal period, geographic location, or size. The Bureau of Communicable Disease's systems have quickly detected outbreaks of salmonellosis, legionellosis, shigellosis, and COVID-19. This tutorial details system design considerations, including geographic and temporal data aggregation, study period length, inclusion criteria, whether to account for population size, network location file setup to account for natural boundaries, probability model (eg, space-time permutation), day-of-week effects, minimum and maximum spatial and temporal cluster sizes, secondary cluster reporting criteria, signaling criteria, and distinguishing new clusters versus ongoing clusters with additional events. We illustrate how to support health equity by minimizing analytic exclusions of patients with reportable diseases (eg, persons experiencing homelessness who are unsheltered) and accounting for purely spatial patterns, such as adjusting nonparametrically for areas with lower access to care and testing for reportable diseases. We describe how to fine-tune the system when the detected clusters are too large to be of interest or when signals of clusters are delayed, missed, too numerous, or false. We demonstrate low-code techniques for automating analyses and interpreting results through built-in features on the user interface (eg, patient line lists, temporal graphs, and dynamic maps), which became newly available with the July 2022 release of SaTScan version 10.1. This tutorial is the first comprehensive resource for health department staff to design and maintain a reportable communicable disease outbreak detection system using SaTScan to catalyze field investigations as well as develop intuition for interpreting results and fine-tuning the system. While our practical experience is limited to monitoring certain reportable diseases in a dense, urban area, we believe that most recommendations are generalizable to other jurisdictions in the United States and internationally. Additional analytic technical support for detecting outbreaks would benefit state, tribal, local, and territorial public health departments and the populations they serve.

Experience of Public Health Departments in Implementation of COVID-19 Case Investigation and Contact Tracing Programs.

Case investigation and contact tracing (CI/CT) are fundamental public health efforts widely used during the COVID-19 pandemic to mitigate transmission. This study investigated how state, local, and tribal public health departments used CI/CT during the COVID-19 pandemic, including CI/CT methodology, staffing models, training and support, and efforts to identify or prioritize populations disproportionately affected by COVID-19. During March and April 2022, we conducted key informant interviews with up to 3 public health officials from 43 state, local, and tribal public health departments. From audio-recorded and transcribed interviews, we used the framework method to analyze key themes. Major adjustments to CI/CT protocols during the pandemic included (1) prioritizing populations for outreach; (2) implementing automated outreach for nonprioritized groups, particularly during COVID-19 surges; (3) discontinuing contact tracing and focusing exclusively on case investigation; and (4) adding innovations to provide additional support. Key informants also discussed the utility of having backup staffing to support overwhelmed public health departments and spoke to the difficulty in "right-sizing" the public health workforce, with COVID-19 surges leaving public health departments understaffed as case rates rose and overstaffed as case rates fell. When addressing future epidemics or outbreaks, public health officials should consider strategies that improve the effectiveness of CI/CT efforts over time, such as prioritizing populations based on disproportionate risk, implementing automated outreach, developing models that provide flexible additional staffing resources as cases rise and fall among local public health departments, incorporating demographic data in laboratory reporting, providing community connections and support, and having a system of self-notification of contacts.

Deployment of the National Notifiable Diseases Surveillance System during the 2022-23 mpox outbreak in the United States-Opportunities and challenges with case notifications during public health emergencies.

Timely case notifications following the introduction of an uncommon pathogen, such as mpox, are critical for understanding disease transmission and for developing and implementing effective mitigation strategies. When Massachusetts public health officials notified the Centers for Disease Control and Prevention (CDC) about a confirmed orthopoxvirus case on May 17, 2023, which was later confirmed as mpox at CDC, mpox was not a nationally notifiable disease. Because existing processes for new data collections through the National Notifiable Disease Surveillance System were not well suited for implementation during emergency responses at the time of the mpox outbreak, several interim notification approaches were established to capture case data. These interim approaches were successful in generating daily case counts, monitoring disease transmission, and identifying high-risk populations. However, the approaches also required several data collection approvals by the federal government and the Council for State and Territorial Epidemiologists, the use of four different case report forms, and the establishment of complex data management and validation processes involving data element mapping and record-level de-duplication steps. We summarize lessons learned from these interim approaches to inform and improve case notifications during future outbreaks. These lessons reinforce CDC's Data Modernization Initiative to work in close collaboration with state, territorial, and local public health departments to strengthen case-based surveillance prior to the next public health emergency.

Current Methods of Newborn Screening Follow-Up for Sickle Cell Disease Are Highly Variable and without Quality Assurance: Results from the ENHANCE Study.

Newborn screening (NBS) for sickle cell disease (SCD) has significantly improved childhood survival but there are still gaps resulting in delayed care for affected infants. As a state-run program, there are no national quality assurance programs to ensure each state achieves consistent, reliable outcomes. We performed this qualitative study of NBS follow-up practices to better evaluate and understand the multi-level, state-specific processes of how each state's public health department delivers the NBS results to families, how/if they ensure affected infants are seen quickly by sickle cell specialists, and to determine the close-out processes used in each state. This project used semi-structured interviews conducted with 29 participants across eight states to explore these NBS follow-up processes in each state. Participants included SCD providers, NBS coordinators, or personnel associated with state health departments and community-based SCD organizations (CBO). Our results show significant state-dependent variations in the NBS processes of information delivery and patient management. Specifically, programs differed in how they communicated results to affected families and which other organizations were informed of the diagnosis. There was also state-based (and intrastate) variation in who should assume responsibility for ensuring that infants receive confirmatory testing and are promptly started on penicillin prophylaxis. Case closure was also highly variable and poorly validated. Our results also yielded identifiable challenges and facilitators to NBS which were highly variable by state but potentially addressable in the future. This information suggests opportunities for systematic improvement in NBS follow-up processes.

Expanding Outcomes in Cancer Screening Safety Net Programs: Promoting Sustainability and Policy Reform.

Community-engaged patient navigation safety net programs are established as an evidence-based approach to address cancer prevention and early detection efforts, but barriers to expand and sustain such programs persist. In addition, few studies describe how these programs impact buy-in among communities and policy change within health care systems and government. We describe how we used the Capacity for Sustainability Framework to guide efforts for program sustainability and community, institutional, and policy level change in a breast cancer screening and patient navigation safety net program. The nine domains of the Capacity for Sustainability Framework were used to develop program logic models, to inform program implementation and quality improvement agendas, and to guide multi-level partner and stakeholder engagement, outreach, and dissemination of outcomes. The program is currently in its seventh year and continues to be annually funded by a city public health department. In 2021, additional 5-year renewable funding from a state public health department was secured. In addition, institutional program support was expanded for patients diagnosed with breast cancer. Program leaders worked with policymakers to draft legislation to support training certification and third-payor reimbursement for patient navigators and community health workers. The program is well-known and trusted among community members, community-based organizations, and providers. Community, organizational, and policy-level outcomes demonstrate that community-engaged patient navigation safety net programs can influence more than individual and interpersonal outcomes and can be sustained over time.

A PUBLIC HEALTH APPROACH TO BRAIN HEALTH: THE HBI ROAD MAP SERIES

Abstract In 2005, congressional support led to the creation of the Healthy Brain Initiative (HBI) and the longstanding collaboration between the Alzheimer’s Association and the Centers for Disease Control and Prevention to advance understanding of and support for cognitive decline as a central part of public health practice. Since then, HBI partners have worked together to implement public health strategies that promote brain health, address dementia and help support caregivers. The Healthy Brain Initiative Road Map Series guides this effort. The first HBI Road Map was released by CDC and the Alzheimer’s Association in 2007 and was the first framework for viewing cognitive health and dementia as a public health issue. The second HBI Road Map was released in 2013 and expanded the role of state and local public health departments and partners in improving cognitive health. The third HBI Road Map, published in 2018, continued to chart a course for state and local public health departments and their partners by aligning actions with the essential services of public health. The HBI Road Map for Indian Country, published in 2019, is the first public health guide focused on dementia in American Indian and Alaska Native communities. The release of the fourth HBI Road Map in 2023 continues to advance the field and prepare public health departments to better address health equity and build capacity as new treatments become available. This symposium highlights successes of the Road Map Series and the development of the 4th edition of the HBI Road Map.

Screening for Health-Related Social Needs and Collaboration With External Partners Among US Hospitals

In recent years, hospitals and health systems have reported increasing rates of screening for patients' individual and community social needs, but few studies have explored the national landscape of screening and interventions directed at addressing health-related social needs (HRSNs) and social determinants of health (SDOH). To evaluate the associations of hospital characteristics and area-level socioeconomic indicators to quantify the presence and intensity of hospitals' screening practices, interventions, and collaborative external partnerships that seek to measure and ameliorate patients' HRSNs and SDOH. This cross-sectional study used national data from the American Hospital Association Annual Survey Database for fiscal year 2020. General-service, acute-care, nonfederal hospitals were included in the study's final sample, representing nationally diverse hospital settings. Data were analyzed from July 2022 to February 2023. Organizational characteristics and area-level socioeconomic indicators. The outcomes of interest were hospital-reported patient screening of and strategies to address 8 HRSNs and 14 external partnership types to address SDOH. Composite scores for screening practices and external partnership types were calculated, and ordinary least-square regression analyses tested associations of organizational characteristics with outcome measures. Of 2858 US hospital respondents (response rate, 67.0%), most hospitals (79.2%; 95% CI, 77.7%-80.7%) reported screening patients for at least 1 HRSN, with food insecurity or hunger needs (66.1%; 95% CI, 64.3%-67.8%) and interpersonal violence (66.4%; 95% CI, 64.7%-68.1%) being the most commonly screened social needs. Most hospitals (79.4%; 95% CI, 66.3%-69.7%) reported having strategies and programs to address patients' HRSNs; notably, most hospitals (52.8%; 95% CI, 51.0%-54.5%) had interventions for transportation barriers. Hospitals reported a mean of 4.03 (95% CI, 3.85-4.20) external partnership types to address SDOH and 5.69 (5.50-5.88) partnership types to address HRSNs, with local or state public health departments and health care practitioners outside of the health system being the most common. Hospitals with accountable care contracts (ACCs) and bundled payment programs (BPPs) reported higher screening practices (ACC: β = 1.03; SE = 0.13; BPP: β = 0.72; SE = 0.14), interventions (ACC: β = 1.45; SE = 0.12; BPP: β = 0.61; SE = 0.13), and external partnership types to address HRSNs (ACC: β = 2.07; SE = 0.23; BPP: β = 1.47; SE = 0.24) and SDOH (ACC: β = 2.64; SE = 0.20; BPP: β = 1.57; SE = 0.21). Compared with nonteaching, government-owned, and for-profit hospitals, teaching and nonprofit hospitals were also more likely to report more HRSN-directed activities. Patterns based on geographic and area-level socioeconomic indicators did not emerge. This cross-sectional study found that most US hospitals were screening patients for multiple HRSNs. Active participation in value-based care, teaching hospital status, and nonprofit status were the characteristics most consistently associated with greater overall screening activities and number of related partnership types. These results support previously posited associations about which types of hospitals were leading screening uptake and reinforce understanding of the role of hospital incentives in supporting health equity efforts.

Understanding Health Equity in Public Health Practice in the United States.

Understanding the extent to which equity-focused work is occurring in public health departments (eg, in chronic disease programs) can identify areas of success and what is needed to move the needle on health equity. The study objective was to characterize the patterns and correlates of equity-related practices in US state and territorial public health practice. The design was a multimethod (quantitative and qualitative), cross-sectional study. The setting included US state and territorial public health departments. Chronic disease prevention practitioners (N = 600) completed self-report surveys in July 2022 through August 2022 (analyzed in September 2022 through December 2022). Health equity data were obtained across 4 domains: (1) staff skills, (2) work unit practices, (3) organizational priorities and values, and (4) partnerships and networks. There was a wide range in self-reported performance across the health equity variables. The highest values (those agreeing and strongly agreeing) were related to staff skills (eg, the ability to describe the causes of inequities [82%]). Low agreement was reported for multiple items, indicating the lack of systems for tracking progress on health equity (32%), the lack of hiring of staff members who represent disadvantaged communities (33%), and limited use of principles for community engagement (eg, sharing decision-making authority with partners [34%]). Qualitative data provided tangible examples showing how practitioners and their agencies are turning an array of health equity concepts into actions. There is urgency in addressing health equity and our data suggest considerable room for enhancing health equity practices in state and territorial public health. To support these activities, our findings provide some of the first information on areas of progress, gaps in practice, and where to target technical assistance, capacity building efforts, and accreditation planning.

Foodborne Illness Outbreaks at Retail Food Establishments - National Environmental Assessment Reporting System, 25 State and Local Health Departments, 2017-2019.

Each year, state and local public health departments report hundreds of foodborne illness outbreaks associated with retail food establishments (e.g., restaurants or caterers) to CDC. Typically, investigations involve epidemiology, laboratory, and environmental health components. Health departments voluntarily report epidemiologic and laboratory data from their foodborne illness outbreak investigations to CDC through the National Outbreak Reporting System (NORS); however, minimal environmental health data from outbreak investigations are reported to NORS. This report summarizes environmental health data collected during outbreak investigations and reported to the National Environmental Assessment Reporting System (NEARS). 2017-2019. In 2014, CDC launched NEARS to complement NORS surveillance and to use these data to enhance prevention efforts. State and local health departments voluntarily enter data from their foodborne illness outbreak investigations of retail food establishments into NEARS. These data include characteristics of foodborne illness outbreaks (e.g., etiologic agent and factors contributing to the outbreak), characteristics of establishments with outbreaks (e.g., number of meals served daily), and food safety policies in these establishments (e.g., ill worker policy requirements). NEARS is the only available data source that collects environmental characteristics of retail establishments with foodborne illness outbreaks. During 2017-2019, a total of 800 foodborne illness outbreaks associated with 875 retail food establishments were reported to NEARS by 25 state and local health departments. Among outbreaks with a confirmed or suspected agent (555 of 800 [69.4%]), the most common pathogens were norovirus and Salmonella, accounting for 47.0% and 18.6% of outbreaks, respectively. Contributing factors were identified in 62.5% of outbreaks. Approximately 40% of outbreaks with identified contributing factors had at least one reported factor associated with food contamination by an ill or infectious food worker. Investigators conducted an interview with an establishment manager in 679 (84.9%) outbreaks. Of the 725 managers interviewed, most (91.7%) said their establishment had a policy requiring food workers to notify their manager when they were ill, and 66.0% also said these policies were written. Only 23.0% said their policy listed all five illness symptoms workers needed to notify managers about (i.e., vomiting, diarrhea, jaundice, sore throat with fever, and lesion with pus). Most (85.5%) said that their establishment had a policy restricting or excluding ill workers from working, and 62.4% said these policies were written. Only 17.8% said their policy listed all five illness symptoms that would require restriction or exclusion from work. Only 16.1% of establishments with outbreaks had policies addressing all four components relating to ill or infectious workers (i.e., policy requires workers to notify a manager when they are ill, policy specifies all five illness symptoms workers need to notify managers about, policy restricts or excludes ill workers from working, and policy specifies all five illness symptoms requiring restriction or exclusion from work). Norovirus was the most commonly identified cause of outbreaks reported to NEARS, and contamination of food by ill or infectious food workers contributed to approximately 40% of outbreaks with identified contributing factors. These findings are consistent with findings from other national outbreak data sets and highlight the role of ill workers in foodborne illness outbreaks. Although a majority of managers reported their establishment had an ill worker policy, often these policies were missing components intended to reduce foodborne illness risk. Contamination of food by ill or infectious food workers is an important cause of outbreaks; therefore, the content and enforcement of existing policies might need to be re-examined and refined. Retail food establishments can reduce viral foodborne illness outbreaks by protecting food from contamination through proper hand hygiene and excluding ill or infectious workers from working. Development and implementation of policies that prevent contamination of food by workers are important to foodborne outbreak reduction. NEARS data can help identify gaps in food safety policies and practices, particularly those concerning ill workers. Future analyses of stratified data linking specific outbreak agents and foods with outbreak contributing factors can help guide the development of effective prevention approaches by describing how establishments' characteristics and food safety policies and practices relate to foodborne illness outbreaks.

The Impact of Monetary Incentives on COVID-19 Vaccination Rates in the US

Despite the usage of prizes, gift cards, and cash to incentivize COVID-19 vaccinations across US states during the COVID-19 pandemic, research on the impact of monetary incentives on vaccine behavioral decisions is conflicting and limited. There is little to no existing literature on whether public health driven financial incentives increase COVID-19 vaccine intake even though this approach has been adapted by state public health departments in varying degrees. This research investigates if there is significant association between state monetary incentives and COVID-19 vaccination status. Upon establishing strong correlation between monetary incentives and COVID-19 vaccination status using statistical methods and analysis, a linear regression model was developed to evaluate which types of monetary incentives were most effective in increasing statewide vaccination status. With the plethora of pandemic health data instigated from scientific and governmental learnings, big data and computational tools hold the key to crafting evidence-based public health infrastructure that will fully prepare future generations for tackling the next unforeseen health crisis.

Defining County-Level Terrestrial Rabies Freedom Using the US National Rabies Surveillance System: Surveillance Data Analysis

Rabies is a deadly zoonotic disease with nearly 100% fatality rate. In the United States, rabies virus persists in wildlife reservoirs, with occasional spillover into humans and domestic animals. The distribution of reservoir hosts in US counties plays an important role in public health decision-making, including the recommendation of lifesaving postexposure prophylaxis upon suspected rabies exposures. Furthermore, in surveillance data, it is difficult to discern whether counties have no cases reported because rabies was not present or because counties have an unreported rabies presence. These epizootics are monitored by the National Rabies Surveillance System (NRSS), to which approximately 130 state public health, agriculture, and academic laboratories report animal rabies testing statistics. Historically, the NRSS classifies US counties as free from terrestrial rabies if, over the previous 5 years, they and any adjacent counties did not report any rabies cases and they tested ≥15 reservoir animals or 30 domestic animals. This study aimed to describe and evaluate the historical NRSS rabies-free county definition, review possibilities for improving this definition, and develop a model to achieve more precise estimates of the probability of terrestrial rabies freedom and the number of reported county-level terrestrial rabies cases. Data submitted to the NRSS by state and territorial public health departments and the US Department of Agriculture Wildlife Services were analyzed to evaluate the historical rabies-free definition. A zero-inflated negative binomial model created county-level predictions of the probability of rabies freedom and the expected number of rabies cases reported. Data analyzed were from all animals submitted for laboratory diagnosis of rabies in the United States from 1995 to 2020 in skunk and raccoon reservoir territories, excluding bats and bat variants. We analyzed data from 14,642 and 30,120 county-years in the raccoon and skunk reservoir territories, respectively. Only 0.85% (9/1065) raccoon county-years and 0.79% (27/3411) skunk county-years that met the historical rabies-free criteria reported a case in the following year (99.2% negative predictive value for each), of which 2 were attributed to unreported bat variants. County-level model predictions displayed excellent discrimination for detecting zero cases and good estimates of reported cases in the following year. Counties classified as rabies free rarely (36/4476, 0.8%) detected cases in the following year. This study concludes that the historical rabies freedom definition is a reasonable approach for identifying counties that are truly free from terrestrial raccoon and skunk rabies virus transmission. Gradations of risk can be measured using the rabies prediction model presented in this study. However, even counties with a high probability of rabies freedom should maintain rabies testing capacity, as there are numerous examples of translocations of rabies-infected animals that can cause major changes in the epidemiology of rabies.

The (mis)uses of community: a critical analysis of public health communication for COVID-19 vaccination in the United States

Abstract Community engagement is heralded as a panacea for the inherent political challenges of public health governance. For COVID-19 vaccination planning in the United States, appeals for community engagement emerged in response to the disproportionate mortality and morbidity burdens on marginalized groups and as a bulwark against a political climate of vaccine hesitancy, scientific disinformation, and mistrust of public health. In this article, we use a culture-centered analytical framework to critique the discursive construct of “community” within public health documents that discuss community engagement strategies for COVID-19 vaccination. Through a critical-abductive analysis of more than 400 state public health department documents, we recognized the diverse axes on which appeals to the community are framed. Our findings show that the construct of “community” refers to both a material/tangible space marked by discursive struggle and one containing a moral economy of responsibility. We discuss the challenges and opportunities of conceptualizing community in these ways.

Rabies surveillance in the United States during 2021.

To provide epidemiological information on the occurrence of animal and human rabies in the US during 2021 and summaries of 2021 rabies surveillance for Canada and Mexico. State and territorial public health departments and USDA Wildlife Services provided data on animals submitted for rabies testing in 2021. Data were analyzed temporally and geographically to assess trends in domestic animal and wildlife rabies cases. During 2021, 54 US jurisdictions reported 3,663 rabid animals, representing an 18.2% decrease from the 4,479 cases reported in 2020. Texas (n = 456 [12.4%]), Virginia (297 [8.1%]), Pennsylvania (287 [7.8%]), North Carolina (248 [6.8%]), New York (237 [6.5%]), California (220 [6.0%]), and New Jersey (201 [5.5%]) together accounted for > 50% of all animal rabies cases reported in 2021. Of the total reported rabid animals, 3,352 (91.5%) involved wildlife, with bats (n = 1,241 [33.9%]), raccoons (1,030 [28.1%]), skunks (691 [18.9%]), and foxes (314 [8.6%]) representing the primary hosts confirmed with rabies. Rabid cats (216 [5.9%]), cattle (40 [1.1%]), and dogs (36 [1.0%]) accounted for 94% of rabies cases involving domestic animals in 2021. Five human rabies deaths were reported in 2021. The number of animal rabies cases reported in the US decreased significantly during 2021; this is thought to be due to factors related to the COVID-19 pandemic.

Accessibility of State and Territory Public Health Department Website Information on COVID-19 Outpatient Treatments in the US

This cross-sectional study assesses the reading level and accessibility of information on COVID-19 treatments posted on US public health websites for states, territories, and Washington, DC.

PARTNERING TO DEVELOP COUNTY-LEVEL DATA PROFILES

Abstract Building robust data systems that include information on the health of older adults is crucial to developing programs and services that meet their health and social needs. Organizations and agencies can use this information to target resources and identify community partners, as well as using data to support grant applications. But there are challenges to building such systems, even within the public health system, due to lack of expertise, funding, and access to underlying data sources. Through its Age-Friendly Public Health Systems initiative, Trust for America’s Health’s has worked directly with several state public health departments to explore opportunities to develop and expand their county-level data profiles on older adults. This session will highlight the unique collaborations and partnerships between departments of health and other institutions, including academia, to develop data profiles. Through these innovative partnerships, departments of health have been able to develop dynamic data profiles that they share with aging services providers to discuss strategies to support their older adults in their communities. Best practices and lessons learned through the profile development process will also be discussed.

The social vulnerability metric (SVM) as a new tool for public health.

To derive and validate a new ecological measure of the social determinants of health (SDoH), calculable at the zip code or county level. The most recent releases of secondary, publicly available data were collected from national U.S. health agencies as well as state and city public health departments. The Social Vulnerability Metric (SVM) was constructed from U.S. zip-code level measures (2018) from survey data using multidimensional Item Response Theory and validated using outcomes including all-cause mortality (2016), COVID-19 vaccination (2021), and emergency department visits for asthma (2018). The SVM was also compared with the existing Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) to determine convergent validity and differential predictive validity. The data were collected directly from published files available to the public online from national U.S. health agencies as well as state and city public health departments. The correlation between SVM scores and national age-adjusted county all-cause mortality was r=0.68. This correlation demonstrated the SVM's robust validity and outperformed the SVI with an almost four-fold increase in explained variance (46% vs. 12%). The SVM was also highly correlated (r ≥ 0.60) to zip-code level health outcomes for the state of California and city of Chicago. The SVM offers a measurement tool improving upon the performance of existing SDoH composite measures and has broad applicability to public health that may help in directing future policies and interventions. The SVM provides a single measure of SDoH that better quantifies associations with health outcomes.

Addressing Shortcomings in Contingency Standards of Care

Addressing Shortcomings in Contingency Standards of Care

Use of a Digital Assistant to Report COVID-19 Rapid Antigen Self-test Results to Health Departments in 6 US Communities

Widespread distribution of rapid antigen tests is integral to the US strategy to address COVID-19; however, it is estimated that few rapid antigen test results are reported to local departments of health. To characterize how often individuals in 6 communities throughout the United States used a digital assistant to log rapid antigen test results and report them to their local departments of health. This prospective cohort study is based on anonymously collected data from the beneficiaries of the Say Yes! Covid Test program, which distributed more than 3 000 000 rapid antigen tests at no cost to residents of 6 communities (Louisville, Kentucky; Indianapolis, Indiana; Fulton County, Georgia; O'ahu, Hawaii; Ann Arbor and Ypsilanti, Michigan; and Chattanooga, Tennessee) between April and October 2021. A descriptive evaluation of beneficiary use of a digital assistant for logging and reporting their rapid antigen test results was performed. Widespread community distribution of rapid antigen tests. Number and proportion of tests logged and reported to the local department of health through the digital assistant. A total of 313 000 test kits were distributed, including 178 785 test kits that were ordered using the digital assistant. Among all distributed kits, 14 398 households (4.6%) used the digital assistant, but beneficiaries reported three-quarters of their rapid antigen test results to their state public health departments (30 965 tests reported of 41 465 total test results [75.0%]). The reporting behavior varied by community and was significantly higher among communities that were incentivized for reporting test results vs those that were not incentivized or partially incentivized (90.5% [95% CI, 89.9%-91.2%] vs 70.5%; [95% CI, 70.0%-71.0%]). In all communities, positive tests were less frequently reported than negative tests (60.4% [95% CI, 58.1%-62.8%] vs 75.5% [95% CI, 75.1%-76.0%]). These results suggest that application-based reporting with incentives may be associated with increased reporting of rapid tests for COVID-19. However, increasing the adoption of the digital assistant may be a critical first step.

The impact of traumatic experiences, coping mechanisms, and workplace benefits on the mental health of U.S. public health workers during the COVID-19 pandemic

PurposeTo evaluate the association between risk factors, mitigating factors, and adverse mental health outcomes among United States public health workers. MethodsCross-sectional online survey data were collected March to April 2021. The survey was distributed to public health workers who worked in a state, tribal, local, or territorial public health department since March 2020. ResultsIn total, 26,174 United States state and local public health workers completed the survey. Feeling isolated was a risk factor for anxiety (PR, 1.84; 95% CI, 1.74–1.95), depression (PR, 1.84; 95% CI, 1.75–1.94), post-traumatic stress disorder (PR, 1.50; 95% CI, 1.43–1.57), and suicidal ideation (PR, 3.23; 95% CI, 2.82–3.69). The ability to take time off was linked to fewer reported symptoms of anxiety (PR, 0.87; 95% CI, 0.83–0.90), depression (PR, 0.86; 95% CI, 0.83–0.89), post-traumatic stress disorder (PR, 0.84; 95% CI, 0.81–0.88), and suicidal ideation (PR, 0.84; 95% CI, 0.77–0.92). ConclusionsSince COVID-19 was declared a pandemic, respondents who felt isolated and alone were at an increased risk for adverse mental health outcomes. Findings from this study call for public health organizations to provide their workforce with services and resources to mitigate adverse mental health outcomes.

The power of partnerships: state public health department multisector collaborations in major chronic disease programme areas in the United States

BackgroundMultisector collaboration between state public health departments (SHDs) and diverse community partners is increasingly recognized as important for promoting positive public health outcomes, addressing social determinants of health, and reducing health inequalities. This study investigates collaborations between SHDs in the United States and different types of organizations addressing chronic disease in and outside of the health sector.MethodsSHD employees were randomly selected from the National Association of Chronic Disease Directors membership list for participation in an online survey. Participants were asked about their primary chronic disease work unit (cancer, obesity, tobacco, diabetes, cardiovascular disease, and others), as well as their work unit collaborations (exchange of information/cooperation in activities) with organizations in health and non-health sectors. As a measure of the different organizations SHDs collaborated with in health and non-health sectors, a collaboration heterogeneity score for each programme area was calculated. One-way analysis of variance (ANOVA) with Tukey’s post hoc tests were used to assess differences in collaborator heterogeneity between programme areas.ResultsA total of 574 participants were surveyed. Results indicated that the cancer programme area, along with diabetes and cardiovascular disease, had significantly less collaboration heterogeneity with organizations outside of the health sector compared to the obesity and tobacco programme areas.ConclusionsWhile collaborations with health sector organizations are commonly reported, public health departments can increase collaboration with sectors outside of health to more fully address chronic disease prevention.