Search

Public education campaigns are promising methods for promoting vaccine uptake. In April 2021, the U.S. Department of Health and Human Services launched the We Can Do This COVID-19 public education campaign. This study is one of the first evaluations of this COVID-19 public education campaign. We tested associations between channel-specific campaign exposure (i.e. digital, TV, radio, print, and out-of-home advertising) and COVID-19 first-dose vaccinations among a nationally representative online sample of 3,278 adults. The study introduces novel ways to simultaneously evaluate short- and long-term cumulative media dose, filling an important gap in campaign evaluation literature. We observed a positive, statistically significant relationship between the short-term change in digital media dose and the likelihood of first-dose vaccination, and a positive, statistically significant relationship between long-term cumulative TV dose and the likelihood of first-dose vaccination. Results suggest that both digital and TV ads contributed to vaccination, such that digital media was associated with more immediate behavioral changes, whereas TV gradually shifted behaviors over time. As findings varied by media channel, this study suggests that public education campaigns should consider delivering campaign messages across multiple media channels to enhance campaign reach across audiences.

Background: Over 1 million people in the United States have died of COVID-19. In response to this public health crisis, the US Department of Health and Human Services launched the We Can Do This public education campaign in April 2021 to increase vaccine confidence. The campaign uses a mix of digital, television, print, radio, and out-of-home channels to reach target audiences. However, the impact of this campaign on vaccine uptake has not yet been assessed., Objective: We aimed to address this gap by assessing the association between the We Can Do This COVID-19 public education campaign's digital impressions and the likelihood of first-dose COVID-19 vaccination among US adults., Methods: A nationally representative sample of 3642 adults recruited from a US probability panel was surveyed over 3 waves (wave 1: January to February 2021; wave 2: May to June 2021; and wave 3: September to November 2021) regarding COVID-19 vaccination, vaccine confidence, and sociodemographics. Survey data were merged with weekly paid digital campaign impressions delivered to each respondent's media market (designated market area [DMA]) during that period. The unit of analysis was the survey respondent-broadcast week, with respondents nested by DMA. Data were analyzed using a multilevel logit model with varying intercepts by DMA and time-fixed effects., Results: The We Can Do This digital campaign was successful in encouraging first-dose COVID-19 vaccination. The findings were robust to multiple modeling specifications, with the independent effect of the change in the campaign's digital dose remaining practically unchanged across all models. Increases in DMA-level paid digital campaign impressions in a given week from -30,000 to 30,000 increased the likelihood of first-dose COVID-19 vaccination by 125%., Conclusions: Results from this study provide initial evidence of the We Can Do This campaign's digital impact on vaccine uptake. The size and length of the Department of Health and Human Services We Can Do This public education campaign make it uniquely situated to examine the impact of a digital campaign on COVID-19 vaccination, which may help inform future vaccine communication efforts and broader public education efforts. These findings suggest that campaign digital dose is positively associated with COVID-19 vaccination uptake among US adults; future research assessing campaign impact on reduced COVID-19-attributed morbidity and mortality and other benefits is recommended. This study indicates that digital channels have played an important role in the COVID-19 pandemic response. Digital outreach may be integral in addressing future pandemics and could even play a role in addressing nonpandemic public health crises., (©Christopher J Williams, Elissa C Kranzler, Joseph N Luchman, Benjamin Denison, Sean Fischer, Thomas Wonder, Ronne Ostby, Monica Vines, Jessica Weinberg, Elizabeth L Petrun Sayers, Allison N Kurti, Sarah Trigger, Leah Hoffman, Joshua F A Peck. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 03.05.2023.)

This study examined the relationship between recalled exposure to the We Can Do This COVID-19 Public Education Campaign (the Campaign) and COVID-19 vaccine confidence (the likelihood of vaccination or vaccine uptake) in the general population, including vaccine-hesitant adults (the "Movable Middle"). Analyses used three waves of a triannual, nationally representative panel survey of adults in the U.S. fielded from January to November 2021 ( n  = 3,446). Proportional odds regression results demonstrated a positive, statistically significant relationship between past 4-month Campaign recall and vaccine confidence, controlling for lagged reports of Campaign recall and vaccine confidence; concurrent and lagged fictional campaign recall; survey wave; and sociodemographics. Results indicated that as one moves from no Campaign recall to infrequent recall, there is a 29% increase in the odds of being in a higher vaccine confidence category. Findings offer evidence of the impact of a COVID-19 public education campaign on increasing vaccine confidence.

Purpose: Smokeless tobacco (SLT) use is more common among White male youth in rural locations than among other youth. Previous literature documents risk factors for SLT use (e.g., perceived harm). However, no research has examined whether SLT initiation is associated with the use of social media and video games, despite the high prevalence of those behaviors among adolescent males., Methods: As part of the evaluation of "The Real Cost" smokeless prevention campaign, we conducted a baseline survey of a cohort of US males aged 11-16 in 2016 and four follow-up surveys conducted approximately every 8 months. We used discrete-time survival analysis to examine factors associated with SLT initiation. Logistic regression estimated the odds of initiation as a function of lagged values of key predictors (social media use in tertiles and frequency of gaming) and other baseline and lagged correlates. The model controlled for campaign exposure., Results: Relative to the lowest tertile of social media use, moderate (odds ratio [OR] = 1.80) or high use (OR = 2.77) was associated with increased risk of SLT initiation at the subsequent survey wave. Relative to playing every few weeks or less, playing video games once a day (OR = 0.50) or several times a day (OR = 0.33) was associated with decreased risk of SLT initiation., Discussion: SLT initiation was positively associated with social media use and negatively associated with gaming. Future research should explore reasons for the protective nature of gaming (e.g., social support, improved mood) and whether parental supervision of social media use could mitigate its negative impact., (Published by Elsevier Inc.)

Objective: This article describes development of the National Institute for Occupational Safety and Health (NIOSH) Worker Well-Being Questionnaire (WellBQ)., Methods: The NIOSH WellBQ was developed through literature reviews and expert panel recommendations. We drew from a representative sample of the civilian, noninstitutionalized, US working population to pilot the questionnaire. Psychometric analyses were performed on data from 975 respondents to finalize items and optimize the NIOSH WellBQ's psychometric properties., Results: The final questionnaire consists of 16 scales, 5 indices, and 31 single items across 5 domains: (1) work evaluation and experience; (2) workplace policies and culture; (3) workplace physical environment and safety climate; (4) health status; and (5) home, community, and society (experiences and activities outside of work). The instrument demonstrated adequate reliability and validity., Conclusions: The NIOSH WellBQ is a reliable and valid instrument that comprehensively measures worker well-being., Competing Interests: Conflict of interest: None declared., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Occupational and Environmental Medicine.)

Background: Disaster citizen science, or the use of scientific principles and methods by "non-professional" scientists or volunteers, may be a promising way to enhance public health emergency preparedness (PHEP) and build community resilience. However, little research has focused on understanding this emerging field and its implications for PHEP. To address research gaps, this paper: (1) assesses the state of disaster citizen science by developing an inventory of disaster citizen science projects; (2) identifies different models of disaster citizen science; and (3) assesses their relevance for PHEP., Methods: We searched the English-language peer-reviewed and grey literature for disaster citizen science projects with no time period specified. Following searches, a team of three reviewers applied inclusion/exclusion criteria that defined eligible disasters and citizen science activities. Reviewers extracted the following elements from each project: project name and description; lead and partner entities; geographic setting; start and end dates; type of disaster; disaster phase; citizen science model; and technologies used., Results: A final set of 209 projects, covering the time period 1953-2017, were included in the inventory. Projects were classified across five citizen science models: distributed or volunteer sensing (n = 19; 9%); contributory (n = 98; 47%); distributed intelligence (n = 52; 25%); collaborative research (n = 32; 15%); and collegial research (n = 8; 4%). Overall, projects were conducted across all disaster phases and most frequently for earthquakes, floods, and hurricanes. Although activities occurred globally, 40% of projects were set in the U.S. Academic, government, technology, and advocacy organizations were the most prevalent lead entities. Although a range of technologies were used, 77% of projects (n = 161) required an internet-connected device. These characteristics varied across citizen science models revealing important implications for applications of disaster citizen science, enhancement of disaster response capabilities, and sustainability of activities over time., Conclusions: By increasing engagement in research, disaster citizen science may empower communities to take collective action, improve system response capabilities, and generate relevant data to mitigate adverse health impacts. The project inventory established a baseline for future research to capitalize on opportunities, address limitations, and help disaster citizen science achieve its potential.

Delivering risk and crisis communication to US Gulf Coast residents poses a unique challenge to individual and organizational responders. The region has endured several natural and man-made disasters, spanning Hurricane Katrina, the Deepwater Horizon oil spill, and more recently Hurricanes Harvey and Irma. In the future, the US Gulf Coast is expected to remain susceptible to a range of disasters. At the same time, the region is experiencing a growing population, struggles with systemic disparities between residents, and is home to major energy, tourism, fishing, and shrimping industries. Engaging in pre-crisis planning with vulnerable populations, and assessing response strategies, can help the region prepare for future disasters. In support of understanding vulnerabilities in the US Gulf Coast, the authors conducted a survey in 2016 of n = 2,520 adult residents of the targeted geographic region. The authors examine how demographic characteristics affect communication channel preferences (ie, television, Internet, print [newspapers, magazines], radio, word-of-mouth, or another specified channel) and trust in sources (ie, the national news media, local news media, business leaders and organizations, religious leaders and institutions, academics and academic institutions, friends and family, and doctors) in the US Gulf Coast. Weighted prevalence estimates or similar summary statistics (mean, standard deviation) are provided for both outcomes. Findings for channel preferences and trust in sources are examined by sex, race/ethnicity, age, and education. Weighted multinomial logistic regression is used in a multivariate model. Weighted linear regression is used to examine differences in trust in each source of information. Results highlight significant differences in channel preferences and trust across respondents. The authors also place these results in context to more readily accessible national estimates of these outcomes, emphasizing takeaways for the region.

Delivering risk and crisis communication to US Gulf Coast residents poses a unique challenge to individual and organizational responders. The region has endured several natural and man-made disasters, spanning Hurricane Katrina, the Deepwater Horizon oil spill, and more recently Hurricanes Harvey and Irma. In the future, the US Gulf Coast is expected to remain susceptible to a range of disasters. At the same time, the region is experiencing a growing population, struggles with systemic disparities between residents, and is home to major energy, tourism, fishing, and shrimping industries. Engaging in pre-crisis planning with vulnerable populations, and assessing response strategies, can help the region prepare for future disasters. In support of understanding vulnerabilities in the US Gulf Coast, the authors conducted a survey in 2016 of n = 2,520 adult residents of the targeted geographic region. The authors examine how demographic characteristics affect communication channel preferences (ie, television, Internet, print [newspapers, magazines], radio, word-of-mouth, or another specified channel) and trust in sources (ie, the national news media, local news media, business leaders and organizations, religious leaders and institutions, academics and academic institutions, friends and family, and doctors) in the US Gulf Coast. Weighted prevalence estimates or similar summary statistics (mean, standard deviation) are provided for both outcomes. Findings for channel preferences and trust in sources are examined by sex, race/ethnicity, age, and education. Weighted multinomial logistic regression is used in a multivariate model. Weighted linear regression is used to examine differences in trust in each source of information. Results highlight significant differences in channel preferences and trust across respondents. The authors also place these results in context to more readily accessible national estimates of these outcomes, emphasizing takeaways for the region.

Objective: This article describes the National Institute for Occupational Safety and Health's (NIOSH) development of a conceptual framework for worker well-being. While well-being research is growing, there is a need to translate theoretical concepts into practical models for measurement and action., Methods: Multidisciplinary literature reviews informed development of the worker well-being framework and major domains and subdomains. An expert panel helped prioritize constructs for measurement., Results: The framework includes five domains and 20 subdomains and conceptualizes worker well-being as a subjective and objective phenomenon inclusive of experiences both within and beyond work contexts., Conclusion: Well-being is a positive and unifying concept that captures multiple factors that contribute to workers' health and quality of life. This work lays the foundation for larger well-being measurement efforts and will provide tools for NIOSH partners to help workers flourish.