Selected article for: "active pandemic and logistic regression"

Author: Stewart, N. H.; Koza, A. L.; Dhaon, S.; Shoushtari, C.; Martinez, M.; Arora, V. M.
Title: Sleep in Frontline Healthcare Workers on Social Media During the COVID-19 Pandemic
  • Cord-id: 3mxi532i
  • Document date: 2021_1_20
  • ID: 3mxi532i
    Snippet: Abstract Importance: During the pandemic, healthcare workers on social media are sharing their challenges, including sleep disturbances. Objective: To assess sleep using validated measures among frontline healthcare workers on social media Design: A 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
    Document: Abstract Importance: During the pandemic, healthcare workers on social media are sharing their challenges, including sleep disturbances. Objective: To assess sleep using validated measures among frontline healthcare workers on social media Design: A 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. Setting: Online self-selection survey on social media Participants: 963 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. Conclusion: During 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.

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