Background During the COVID-19 pandemic, health care workers are sharing their challenges, including sleep disturbances, on social media; however, no study has evaluated sleep in predominantly US frontline health care workers during the COVID-19 pandemic. Objective The aim of this study was to assess sleep among a sample of predominantly US frontline health care workers during the COVID-19 pandemic using validated measures through a survey distributed on social media. Methods A self-selection survey was distributed on Facebook, Twitter, and Instagram for 16 days (August 31 to September 15, 2020), targeting health care workers who were clinically active during the COVID-19 pandemic. Study participants completed the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI), and they reported their demographic and career information. Poor sleep quality was defined as a PSQI score ≥5. Moderate-to-severe insomnia was defined as an ISI score >14. The Mini-Z Burnout Survey was used to measure burnout. Multivariate logistic regression tested associations between demographics, career characteristics, and sleep outcomes. Results A total of 963 surveys were completed. Participants were predominantly White (894/963, 92.8%), female (707/963, 73.4%), aged 30-49 years (692/963, 71.9%), and physicians (620/963, 64.4%). Mean sleep duration was 6.1 hours (SD 1.2). Nearly 96% (920/963, 95.5%) of participants reported poor sleep (PSQI). One-third (288/963, 30%) reported moderate or severe insomnia. Many participants (554/910, 60.9%) experienced sleep disruptions due to device use or had nightmares at least once per week (420/929, 45.2%). Over 50% (525/932, 56.3%) reported burnout. In multivariable logistic regressions, nonphysician (odds ratio [OR] 2.4, 95% CI 1.7-3.4), caring for patients with COVID-19 (OR 1.8, 95% CI 1.2-2.8), Hispanic ethnicity (OR 2.2, 95% CI 1.4-3.5), female sex (OR 1.6, 95% CI 1.1-2.4), and having a sleep disorder (OR 4.3, 95% CI 2.7-6.9) were associated with increased odds of insomnia. In open-ended comments (n=310), poor sleep was mapped to four categories: children and family, work demands, personal health, and pandemic-related sleep disturbances. Conclusions During the COVID-19 pandemic, nearly all the frontline health care workers surveyed on social media reported poor sleep, over one-third reported insomnia, and over half reported burnout. Many also reported sleep disruptions due to device use and nightmares. Sleep interventions for frontline health care workers are urgently needed.

Background: Visual communication strategies are becoming increasingly prevalent for conveying information to health professionals as well as to the general public. The potential of social media for rapid knowledge dissemination using infographics was recognized early in the coronavirus disease (COVID-19) pandemic by health professionals. Objective: The purpose of this study was to describe a coalition of health professionals' approach to developing infographics about COVID-19 vaccines and the reach and engagement of those infographics when shared through social media. Methods: Infographics were created by a core team within the coalition following a stepwise approach. Each underwent a multistep review process, readability evaluation, and translation into Spanish. Infographics were then shared through multiple social media platforms. They were grouped into 1 of 3 categories for this analysis: COVID-19 vaccine series, myth debunkers, or other. Results: All infographics had greater outreach, impressions, and engagement on Twitter than they did on other platforms. When comparing the 3 groups, no 1 infographic type was consistently performing higher than the others. Conclusion: Each infographic reached thousands to tens of thousands of people. We do not know whether those who viewed these infographics changed their perspective on vaccination, so we are unable to draw a conclusion about their impact on vaccine hesitancy based on this study alone.

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Background Given the widespread and concerted efforts to propagate health misinformation on social media, particularly centered around vaccination during the pandemic, many groups of clinicians and scientists were organized on social media to tackle misinformation and promote vaccination, using a national or international lens. Although documenting the impact of such social media efforts, particularly at the community level, can be challenging, a more hyperlocal or “place-based approach” for social media campaigns could be effective in tackling misinformation and improving public health outcomes at a community level. Objective We aimed to describe and document the effectiveness of a place-based strategy for a coordinated group of Chicago health care workers on social media to tackle misinformation and improve vaccination rates in the communities they serve. Methods The Illinois Medical Professionals Action Collaborative Team (IMPACT) was founded in March 2020 in response to the COVID-19 pandemic, with representatives from major academic teaching hospitals in Chicago (eg, University of Chicago, Northwestern University, University of Illinois, and Rush University) and community-based organizations. Through crowdsourcing on multiple social media platforms (eg, Facebook, Twitter, and Instagram) with a place-based approach, IMPACT engaged grassroots networks of thousands of Illinois health care workers and the public to identify gaps, needs, and viewpoints to improve local health care delivery during the pandemic. Results To address vaccine misinformation, IMPACT created 8 “myth debunking” infographics and a “vaccine information series” of 14 infographics that have generated >340,000 impressions and informed the development of vaccine education for the Chicago Public Libraries. IMPACT delivered 13 policy letters focusing on different topics, such as health care worker personal protective equipment, universal masking, and vaccination, with >4000 health care workers signatures collected through social media and delivered to policy makers; it published over 50 op-eds on COVID-19 topics in high-impact news outlets and contributed to >200 local and national news features. Using the crowdsourcing approach on IMPACT social media channels, IMPACT mobilized health care and lay volunteers to staff >400 vaccine events for >120,000 individuals, many in Chicago’s hardest-hit neighborhoods. The group’s recommendations have influenced public health awareness campaigns and initiatives, as well as research, advocacy, and policy recommendations, and they have been recognized with local and national awards. Conclusions A coordinated group of health care workers on social media, using a hyperlocal place-based approach, can not only work together to address misinformation but also collaborate to boost vaccination rates in their surrounding communities.

ImportanceDuring the pandemic, healthcare workers on social media are sharing their challenges, including sleep disturbances.ObjectiveTo assess sleep using validated measures among frontline healthcare workers on social mediaDesignA self-selection survey was distributed on Facebook, Twitter, and Instagram for 16 days (August 31-September 15, 2020) targeting healthcare workers (HCW) who were clinically active during the pandemic. Study participants completed the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and reported demographic/career information. Poor sleep quality was defined as PSQI>5. Moderate-to-severe insomnia was defined as an ISI>14. The mini-Z was used to measure burnout. Multivariate logistic regression tested associations between demographics, career characteristics, and sleep outcomes.SettingOnline self-selection survey on social mediaParticipants963 surveys were completed. Participants were predominantly White (92.8%), female (73.4%), aged 30-49 (71.9%), and physicians (64.4%). Mean sleep duration was 6.1 (SD 1.2) hours. Nearly 90% reported poor sleep (PSQI). One third (33.0%) reported moderate or severe insomnia. Many (60%) experienced sleep disruptions due to device usage or had bad dreams at least once per week (45%). Over 50% reported burnout. In multivariable logistic regressions, non-physician (OR 2.4; CI: 1.7, 3.4), caring for COVID-19 patients (OR 1.8; CI 1.2, 2.8), Hispanic ethnicity (OR 2.2; CI: 1.4, 3.5), being female (OR 1.6; CI 1.1, 2.4), and having a sleep disorder (OR 4.3; CI 2.7,6.9) were associated with increased odds of insomnia. In open-ended comments (n=310), poor sleep mapped to four categories: children and family, work demands, personal health, and pandemic-related sleep disturbances.ConclusionDuring the COVID-19 pandemic, 90% of frontline healthcare workers surveyed on social media reported poor sleep, over one-third reported insomnia, and over half reported burnout. Many also reported sleep disruptions due to device usage and nightmares. Sleep interventions for frontline healthcare workers are urgently needed.Key pointsQuestionHow are frontline healthcare workers on social media sleeping during the pandemic?FindingsDuring the COVID-19 pandemic, 90% of frontline healthcare workers on social media are reporting poor sleep, and one third are reporting insomnia. Those who report sleep disturbances were more likely to report burnout.MeaningInterventions aimed at improving the sleep of frontline healthcare workers are warranted.