Local Health Department Values and Organizational Authorities Guiding Cross-Sector Work During COVID-19.

OBJECTIVE: The COVID-19 pandemic highlighted the role that local health departments (LHDs) have in cross sector can address alone, including the work of value alignment and the strategic use of organizational authorities. The practices by which LHDs used their authorities to conduct cross-sector work during the pandemic need exploration. METHOD: We conducted semi-structured interviews with 19 public health leaders from metropolitan LHDs across the United States. Our interview guide assessed the values that LHD leadership prioritized in their cross-sector work as well as the range of organizational authorities they leveraged to influence external decision-making in other sectors. RESULTS: We found that LHDs approached cross-sector work by leaning on diverse values and authorities, each with unique implications for their work. The LHDs emphasized their approach to value alignment on a sector-by-sector basis, strategically using diverse organizational authorities-economic, political, moral, scientific, and logistical. While each authority and value we assessed was present across all interviewees, how each shaped action varied. Internally, LHDs emphasized certain authorities more than others to the degree that they more closely aligned with prioritized core values. CONCLUSION: Our findings highlight the ongoing need for LHD leadership to improve their ability to effectively communicate public health values and the unique authorities by which health-supporting work can be facilitated, including how this message must be adapted, depending on the specific sectors with which the LHD needs to partner and the governance arrangement in which the LHD is situated.

The Societal Cost of Excessive Drinking in North Carolina, 2017.

BACKGROUND Excessive drinking, including binge and heavy drinking, is a leading cause of morbidity and mortality in North Carolina. In 2010, excessive drinking cost North Carolina $7.03 billion, and this analysis aimed to update this figure for 2017.METHODS Following the methods of Sacks, et al. (2015), we obtained proxies for the 2010 and 2017 incidence and price for 26 alcohol-attributable cost components. We then multiplied each component's 2010 cost by the incidence trend (2017 incidence/2010 incidence) and price trend (2017 price/2010 price) to estimate the 2017 cost. Finally, we summed these cost components to calculate the total cost and allocated them by payer and county.RESULTS Excessive drinking cost $9.72 billion in North Carolina in 2017, which equals approximately $2.09 per standard drink. Government paid $4.43 billion (45.6%), drinkers paid $3.76 billion (38.7%), and persons other than the drinker paid $1.53 billion (15.7%).LIMITATIONS These methods relied on alcohol-attributable fractions, which were calculated using scientific literature and national data. If consumption patterns differ between the United States and North Carolina, these fractions may not generalize. Scaling processes may over- or underestimate individual cost components, so total state costs should be interpreted as estimates.CONCLUSIONS The societal costs from excessive drinking are high but spread across public sectors. This can make it difficult to attribute this burden to alcohol. While drinkers paid less than half of the costs of excessive drinking, a broad range of stakeholders bore the burden. Evidence-based strategies to reduce excessive drinking may decrease these costs.

Typology of Adolescents Exposed to Non-medical Cannabis Marketing and Associations with Consumption Patterns.

Latent class analysis (LCA) identified subtypes of cannabis marketing exposure among adolescents and assessed whether the classes were associated with three cannabis use outcomes: past 28-day use, poly-cannabis use, and symptoms of cannabis use disorder (CUD). Survey data were from 471 adolescents (aged 15-19 years) who lived in four states with legal non-medical cannabis in 2018. Measures included social media engagement and cannabis outcomes. LCA with robust maximum likelihood estimation identified latent classes. Chi-squared tests assessed whether empirically derived classes differed across demographics, and logistic regression tested associations with cannabis use outcomes. Three classes were identified: digitally engaged (35.5%), digitally unengaged (36.5%), and traditional (28.0%). Both digitally engaged and unengaged classes were exposed to marketing on social media platforms, but youth in the engaged class interacted with posts and brands. Class membership differed by age (χ2 = 14.89, p < 0.001) and school type, with the digitally engaged group older and not in school or in non-traditional schools (χ2 = 16.22, p=0.01). As compared to the traditional class, youth in the digitally engaged class had 10.63 times the odds of past 28-day cannabis use (95% CI: 5.25, 21.51), 7.84 times the odds of poly-cannabis use (95% CI: 3.54, 17.33), and 13.85 times the odds of symptoms of CUD (95% CI: 3.96, 48.48). Youth in the digitally engaged class had higher odds of all cannabis use behaviors than the traditional class. These findings point to the possible use of algorithmic marketing to adolescents and suggest a need for monitoring and possible restrictions on digital cannabis marketing.

Barriers to and Facilitators of COVID-19 Prevention Behaviors Among North Carolina Residents.

COVID-19 was the third leading cause of death in the United States in 2020. Prior to the wide dissemination of SARS-CoV-2 vaccines, individual prevention behaviors, such as wearing face masks, have been the primary non-pharmaceutical interventions to reduce infections. We surveyed 404 North Carolina residents recruited through Amazon MTurk in July 2020 to assess adherence to key prevention behaviors (6-foot distancing, mask wearing, and gathering limits) and barriers to and facilitators of adherence. Participants reported past 7-day prevention behaviors and behavioral barriers and facilitators informed by the Integrated Behavior Model and the Health Belief Model (perceived risk, perceived severity, behavioral attitudes, injunctive and descriptive norms, and personal agency). Reported adherence to each behavior in the past 7 days was generally high, with lower adherence to 6-foot distancing and mask wearing in the work context. The most commonly endorsed barriers to 6-foot distancing included physical impediments, forgetting, and unfavorable descriptive norms. For mask wearing, ability to keep a distance, discomfort/inconvenience, and forgetting were most commonly endorsed. In logistic regression models, injunctive social norms followed by perceived personal agency were the strongest independent correlates of 6-foot distancing. Behavioral attitudes and injunctive social norms were independently associated with mask wearing. For gathering size limit adherence, perceived personal agency was the strongest independent predictor followed by perceived severity of COVID-19. Messaging campaigns targeting these barriers and facilitators should be tested. Interventions improving the convenience and salience of physical distancing and mask wearing in high-density public places and places of work may also promote prevention behaviors.

Development and Application of an Interdisciplinary Rapid Message Testing Model for COVID-19 in North Carolina.

INTRODUCTION: From the onset of the COVID-19 pandemic, public health officials have sought to develop evidence-based messages to reduce COVID-19 transmission by communicating key information to media outlets and the public. We describe the development of an interdisciplinary rapid message testing model to quickly create, test, and share messages with public health officials for use in health campaigns and policy briefings. METHODS: An interdisciplinary research team from the University of North Carolina at Chapel Hill assembled in March 2020 to assist the state health department in developing evidence-based messages to influence social distancing behaviors in the state. We developed and iteratively executed a rapid message testing model; the components of the 4-step model were message creation, survey development, survey administration, and analysis and presentation to health department officials. The model was executed 4 times, each during a 7-day period in April and May, and each subsequent survey included new phrasing and/or messaging informed by the previous week's survey. A total of 917 adults from North Carolina participated in the 4 surveys. RESULTS: Survey participants rated messages focused on protecting oneself and others higher than messages focused on norms and fear-based approaches. Pairing behaviors with motivations increased participants' desire to social distance across all themes and subgroups. For example, adding "Protect your grandmother, your neighbor with cancer, and your best friend with asthma," to messaging received a 0.9-point higher score than the base message, "Stay 6 feet apart from others when out in public." PRACTICE IMPLICATIONS: Our model to promote social distancing in North Carolina during the COVID-19 pandemic can be used for rapid, iterative message testing during public health emergencies.