Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic.

The first defense line of the battle, healthcare workers (HCWs), faces a significant challenge in managing the current COVID-19 pandemic. An online electronic survey was sent to HCWs via email and social media networks. Socio-demographic data and work environment-related variables were assessed. Consequences of burnout (BO) were reported, e.g., elicited medical errors. Maslach burnout inventory was used to diagnose BO. Two hundred and eighty-four participants were included with a mean age of 39.83 ± 7.34 years, 70.8% worked in the COVID-19 frontline, 91.9% were followed daily updates about COVID-19, 63.7% were not satisfied with the coordination between triage and isolation, 64.4% got COVID-19 infection, 91.9% had a colleague or family member developed COVID-19 infection, and 21.5% experienced a colleague /a family member died due to COVID-19. Multivariate analysis by linear regression revealed that; working as a frontline HCW (OR 1.28, CI = 0.14-2.55) and sleep deprivation (OR 3.93, CI = 1.88-8.22) were the predictors of burnout.

COVID-somnia: anxiety, insomnia, and poor sleep among second-line healthcare workers during COVID-19 pandemic

Background Little information is available about the linkage between sleep affection and COVID-19. Preliminary reports and clinical observations focused on the appearance of related mental health issues, especially in healthcare workers (HCWs). Methods A cross-sectional study is conducted on the COVID-19 second-line HCWs using an English online survey prepared via Google forms. The survey focused on sociodemographic and profession-related characteristics (age, sex, smoking, history of previous sleep disorders or medications affecting sleep, comorbidities specialty, years of experience, and number of hours worked per week) and COVID-19-associated risks (being on the second line of COVID-19 management, following updates and news about COVID-19, and getting an infection with COVID-19 or having a colleague/friend who was infected with or died of COVID-19). Assessment of anxiety, insomnia, and sleep quality was done using the relevant diagnostic scales. Results This study included 162 second-line HCWs with a mean age of 34.36 ± 8.49 years. Although being in second lines, there was a high prevalence of anxiety (49.38%), insomnia (56.17%), and poor sleep quality (67.9%) during the pandemic. One condition was recently developed after the pandemic: insomnia in 6.6%, anxiety in 5.7%, and poor sleep in 16%. Two conditions were developed: insomnia and poor sleep in 21.7%, anxiety and poor sleep in 7.5%, and insomnia and anxiety in 10.4%. The three conditions were de novo experienced in 19.8%. A total of 22.4% of those who followed daily COVID-19 updates developed de novo combined anxiety, insomnia, and poor sleep. A total of 38.5% of participants that had been infected with COVID-19 developed de novo combined anxiety, insomnia, and poor sleep. A total of 50% of participants who had a colleague/friend who died with COVID-19 developed de novo combined anxiety, insomnia, and poor sleep. Conclusion Although being in second lines, there was a high prevalence of anxiety, depression, and poor sleep concerning COVID-19-related factors.

Sleep Quality Among Healthcare Workers During the COVID-19 Pandemic and Its Impact on Medical Errors: Kuwait Experience.

OBJECTIVE: Millions of people suffer from sleep disturbances. In addition, the coronavirus disease 2019 (COVID-19) pandemic created several new challenges-particularly for frontline healthcare workers (HCWs). This study assessed the sleep quality (SQ) among HCWs. MATERIAL AND METHODS: A cross-sectional study was conducted using an English-language online survey. The participants were invited via a web link sent using social network platforms. It included sociodemographic- and profession-related characteristics. COVID-19-associated risks were assessed (e.g., being on the front line, doing swabs, satisfaction about protective equipment, and management protocols). Assessment of SQ was done using the Pittsburgh Sleep Quality Index (PSQI) and various medical errors were recorded. RESULTS: A total of 217 HCWs completed the survey with mean (±standard deviation) age of 35.8 (±7.3) years; 56.2% were male, 18.43% had comorbidities, and 61.75% experienced sleep difficulties before the COVID-19 crisis. This work reports a 78.8% prevalence of poor SQ, with the mean (standard deviation) global PSQI score of 9.36 (±4.4). HCWs with poor sleep experienced more positive comorbid profile (23.64% versus 6.52%, p=0.01). Working on the front lines of COVID-19 was associated with poor sleep (69.59% versus 47.83%, p=0.006). Among the participants, 77.42% performed medical errors, particularly not checking for drug allergies (17.97%), dispensing medication with incomplete instructions (20.74%), providing incorrect doses or overdosing (14.75%), incorrectly explaining the use of medication (9.22%), and prescribing a drug to the wrong patient (10.14%). CONCLUSION: This nationwide survey reported high prevalence of poor SQ among HCWs during the COVID-19 pandemic. Being an HCW on the front lines of COVID-19 and doing swabs with a positive comorbidity was associated with poor sleep.