STOP COVID-19 CA: Community engagement to address the disparate impacts of the COVID-19 pandemic in California

Objective To describe the early activities and lessons of the Share, Trust, Organize, Partner COVID-19 California Alliance (STOP COVID-19 CA), the California awardee of the NIH-funded multi-state Community Engagement Alliance (CEAL) against COVID-19. The Alliance was established to ensure equity in Coronavirus-19 disease (COVID-19) research, clinical practice, and public health for communities most impacted by the COVID-19 pandemic. Study setting The STOP COVID-19 CA Alliance network of 11 universities and affiliated partner community-based organizations (CBOs) across California. Study design Mixed methods evaluation consisting of an analysis of activity (August 2020 to December 2021) detailed in reports submitted by community-academic teams and a survey (August 2021) of academic investigators and affiliated community-based organization (CBO) partners. Data collection We summarized activities from the 11 community-academic teams' progress reports and described results from an online survey of academic investigators and CBO partners in the California Alliance. Principal findings A review of progress reports (n = 256) showed that teams fielded surveys to 11,000 Californians, conducted 133 focus groups, partnered with 29 vaccine/therapeutics clinical trials, and led more than 300 town halls and vaccine events that reached Californians from communities disproportionately impacted by COVID-19. Survey responses from academic investigators and CBO partners emphasized the importance of learning from the successes and challenges of the California Alliance teams' COVID-19 initiatives. Both academic and CBO respondents highlighted the need for streamlined federal and institutional administrative policies, and fiscal practices to promote more effective and timely operations of teams in their efforts to address the numerous underlying health and social disparities that predispose their communities to higher rates of, and poor outcomes from, COVID-19. Conclusions STOP COVID-19 CA represents a new and potentially sustainable statewide community engagement model for addressing health disparities in multiethnic/multicultural and geographically dispersed communities.

STOP COVID-19 CA: Community engagement to address the disparate impacts of the COVID-19 pandemic in California.

Objective: To describe the early activities and lessons of the Share, Trust, Organize, Partner COVID-19 California Alliance (STOP COVID-19 CA), the California awardee of the NIH-funded multi-state Community Engagement Alliance (CEAL) against COVID-19. The Alliance was established to ensure equity in Coronavirus-19 disease (COVID-19) research, clinical practice, and public health for communities most impacted by the COVID-19 pandemic. Study setting: The STOP COVID-19 CA Alliance network of 11 universities and affiliated partner community-based organizations (CBOs) across California. Study design: Mixed methods evaluation consisting of an analysis of activity (August 2020 to December 2021) detailed in reports submitted by community-academic teams and a survey (August 2021) of academic investigators and affiliated community-based organization (CBO) partners. Data collection: We summarized activities from the 11 community-academic teams' progress reports and described results from an online survey of academic investigators and CBO partners in the California Alliance. Principal findings: A review of progress reports (n = 256) showed that teams fielded surveys to 11,000 Californians, conducted 133 focus groups, partnered with 29 vaccine/therapeutics clinical trials, and led more than 300 town halls and vaccine events that reached Californians from communities disproportionately impacted by COVID-19. Survey responses from academic investigators and CBO partners emphasized the importance of learning from the successes and challenges of the California Alliance teams' COVID-19 initiatives. Both academic and CBO respondents highlighted the need for streamlined federal and institutional administrative policies, and fiscal practices to promote more effective and timely operations of teams in their efforts to address the numerous underlying health and social disparities that predispose their communities to higher rates of, and poor outcomes from, COVID-19. Conclusions: STOP COVID-19 CA represents a new and potentially sustainable statewide community engagement model for addressing health disparities in multiethnic/multicultural and geographically dispersed communities.

Adolescent COVID-19 Vaccine Decision-Making among Parents in Southern California.

Adolescent COVID-19 vaccination has stalled at 53% in the United States. Vaccinating adolescents remains critical to preventing the continued transmission of COVID-19, the emergence of variants, and rare but serious disease in children, and it is the best preventive measure available to return to in-person schooling. We investigated parent-adolescent COVID-19 vaccine decision-making. Between 24 February and 15 March 2021, we conducted surveys and 12 focus groups with 46 parent-adolescent dyads in Southern California. Parents and adolescents completed a survey prior to participation in a focus group discussion, which focused on exploring COVID-19 vaccine acceptance or uncertainty and was guided by the 5C vaccine hesitancy model. Parents uncertain about vaccinating adolescents expressed low vaccine confidence and high COVID-19 disease risk complacency. Parents who accepted COVID-19 vaccination for adolescents expressed high confidence in health authority vaccine recommendations, high perceived COVID-19 risk, and collective responsibility to vaccinate children. Additionally, unique pandemic-related factors of vaccine acceptance included vaccinating for emotional health, resuming social activities, and vaccine mandates. Among parents, 46% were willing to vaccinate their adolescent, 11% were not, and 43% were unsure. Among adolescents, 63% were willing to vaccinate. Despite vaccine availability, 47% of adolescents remain unvaccinated against COVID-19. Factors associated with vaccine uncertainty and acceptability inform health care practitioner, school, community, and public health messaging to reach parents and adolescents.

Rise in Use of Digital Mental Health Tools and Technologies in the United States During the COVID-19 Pandemic: Survey Study.

BACKGROUND: Accompanying the rising rates of reported mental distress during the COVID-19 pandemic has been a reported increase in the use of digital technologies to manage health generally, and mental health more specifically. OBJECTIVE: The objective of this study was to systematically examine whether there was a COVID-19 pandemic-related increase in the self-reported use of digital mental health tools and other technologies to manage mental health. METHODS: We analyzed results from a survey of 5907 individuals in the United States using Amazon Mechanical Turk (MTurk); the survey was administered during 4 week-long periods in 2020 and survey respondents were from all 50 states and Washington DC. The first set of analyses employed two different logistic regression models to estimate the likelihood of having symptoms indicative of clinical depression and anxiety, respectively, as a function of the rate of COVID-19 cases per 10 people and survey time point. The second set employed seven different logistic regression models to estimate the likelihood of using seven different types of digital mental health tools and other technologies to manage one's mental health, as a function of symptoms indicative of clinical depression and anxiety, rate of COVID-19 cases per 10 people, and survey time point. These models also examined potential interactions between symptoms of clinical depression and anxiety, respectively, and rate of COVID-19 cases. All models controlled for respondent sociodemographic characteristics and state fixed effects. RESULTS: Higher COVID-19 case rates were associated with a significantly greater likelihood of reporting symptoms of depression (odds ratio [OR] 2.06, 95% CI 1.27-3.35), but not anxiety (OR 1.21, 95% CI 0.77-1.88). Survey time point, a proxy for time, was associated with a greater likelihood of reporting clinically meaningful symptoms of depression and anxiety (OR 1.19, 95% CI 1.12-1.27 and OR 1.12, 95% CI 1.05-1.19, respectively). Reported symptoms of depression and anxiety were associated with a greater likelihood of using each type of technology. Higher COVID-19 case rates were associated with a significantly greater likelihood of using mental health forums, websites, or apps (OR 2.70, 95% CI 1.49-4.88), and other health forums, websites, or apps (OR 2.60, 95% CI 1.55-4.34). Time was associated with increased odds of reported use of mental health forums, websites, or apps (OR 1.20, 95% CI 1.11-1.30), phone-based or text-based crisis lines (OR 1.20, 95% CI 1.10-1.31), and online, computer, or console gaming/video gaming (OR 1.12, 95% CI 1.05-1.19). Interactions between COVID-19 case rate and mental health symptoms were not significantly associated with any of the technology types. CONCLUSIONS: Findings suggested increased use of digital mental health tools and other technologies over time during the early stages of the COVID-19 pandemic. As such, additional effort is urgently needed to consider the quality of these products, either by ensuring users have access to evidence-based and evidence-informed technologies and/or by providing them with the skills to make informed decisions around their potential efficacy.