Background Healthcare workers (HCWs) have been severely impacted by the COVID-19 pandemic. In addition to their risk of direct exposure to the virus, they were subjected to long working hours, scarcity of PPE, and additional stressors that impacted their psychological wellbeing. The purpose of this study was to assess anxiety and its predictors among a sample of HCWs at the American University of Beirut Medical Center (AUBMC) and to evaluate the association between resilience and anxiety. Methods This cross-sectional study was conducted using an online survey between March and June 2021 among HCWs at AUBMC. The psychosocial scale section included the 7-item generalized anxiety disorder (GAD-7) scale and a 25-item resilience scale, validated tools used to assess anxiety and resilience respectively. Data were analyzed on SPSS version 27, and descriptive statistics were applied. Predictors were evaluated using bivariate and multivariate linear regression. Results From a total of 92 participants, 75% were involved in direct patient care, and of those, 95% worked directly with suspected or confirmed COVID-19 patients. The majority (83%) had minimal to mild anxiety, whereas the rest had moderate to high anxiety levels. Around 41% reported moderately high to high resilience, 47% were found to be between the low end and moderate resilience scale and only 12% had very low or low resilience. More than 80% of the participants received PPE training, reported always working with adequate preventive infection control measures, and were vaccinated. Further, more than 70% of participants reported trusting the management and agreed that the safety of the workers is considered a high priority. No significant association between sociodemographic and COVID-19 work exposure factors with anxiety was found. Multivariate analysis results showed that a lower anxiety score was associated with higher resilience (p = 0.011). Conclusion This study has shown a strong association between low anxiety levels and high resilience scores in this group of mostly vaccinated HCWs caring for COVID-19 patients. The high percentage of vaccination along with PPE availability could explain the low anxiety levels reported among the participants.

Background Little has been published on predictors of prolonged sick leaves during the COVID-19 pandemic. This study aims to determine the rate of COVID-19 infections among healthcare workers (HCWs) and to identify the predictors of longer sick leave days. Methods We identified predictors of longer sick leave using linear regression analysis in a cross-sectional study design. Results Thirty-three percent of the total workforce contracted COVID-19. On average, HCWs took 12.5 sick leave days after COVID-19 infection. The regression analysis revealed that older employees, nurses, and those who caught COVID-19 earlier in the pandemic were more likely to take longer sick leave. Conclusions Age, job position, and month of infection predicted sick leave duration among HCWs in our sample. Results imply that transmission was most likely community-based. Public health interventions should consider these factors when planning for future pandemics.

Background Interprofessional collaboration is key to improving the health of individuals and communities. It is supported by provision of Interprofessional education (IPE) which has recently emerged in the Middle East region. This study investigated changes in healthcare students’ attitudes towards interprofessional collaboration after undertaking the Interprofessional Education and Collaboration (IPEC) course. Methods A paper-based anonymous survey using the Interprofessional Attitude Scale (IPAS) was administered to a sample of 346 health students (nursing, medicine, and public health) pre/post undertaking the IPEC course. Less than half of the students provided a post response, with pre/post survey results of 111 pairs subsequently matched and analyzed. Results Results showed elevated pre-course scores, an improvement in students’ attitudes towards the interprofessional biases domain of the IPAS, and a slight decline in their scores in the remaining 4 domains (team roles and responsibilities, patient centeredness, community centeredness, and diversity and ethics). These changes were not statistically significant, except for the patient centeredness domain (p = 0.003**). Conclusions The study provided important results about attitudes towards interprofessional collaboration. These findings are essential because our institution is one of few in Lebanon that provides this mandatory course to a large group of health professionals. Future studies should investigate these changes in attitude scores in a larger sample size, and how these attitudes would influence collaboration post-graduation.

Background Studies have shown that dementia caregivers are inclined to sacrifice their well-being leaving them susceptible to an increased risk of anxiety, low quality of life, and depression. With the proportion of female caregivers being unusually high, most studies focused exclusively on the burden of care in female caregivers, resulting in a knowledge gap regarding male caregiver burden. This study aimed to assess the difference in the burden of care experienced by male and female caregivers of dementia patients and the association of burden of care with psychological wellbeing according to gender. Methods This was a cross-sectional survey of dementia patients’ caregivers from various locations in Lebanon, administered over the phone using structured questionnaires from February to April 2019. The population consisted of 50 females and 11 males' informal unpaid caregivers above the age of 18 in daily contact with the patient. The sample was conveniently selected and identified through two main non-profit organizations. The patient and the caregiver’s sociodemographic information were recorded. The psychological distress was measured using the General Health Survey Questionnaire (GHQ 12) whereas the burden of care was measured using the Zarit Burden Interview 22 (ZBI 22). Results A large proportion of caregivers reported a severe level of burden (41 %). Only item 17 of the ZBI questionnaire (Feeling of life loss control since relative’s illness) was substantially higher among females. Of the caregivers, 70.5% experienced moderate to severe distress, being significantly higher in females. The sex of caregivers was the only socio-demographic factor significantly associated with the burden of care. Female caregivers who experienced severe burden had significantly higher odds of distress compared to those with no or mild to moderate burden (adjusted OR=15.55). No association among male caregivers.Conclusion This study demonstrated that female caregivers experience a greater burden compared to males when assessed about anger. This could be explained by the different gender roles imposed by the Lebanese society on its members. Caregivers should be part of the holistic treatment of dementia patients since they represent an essential pillar of the informal care provided.

Background:Previous studies have shown that demographic, social, and work-related factors can influence sick-leave rates among healthcare workers. In this multivariable study, we evaluated potential predictors of sick leaves among the employees of a tertiary medical center in Lebanon between the years 2015 and 2018.Methods: This study was a retrospective analysis of sick leave records of the population of healthcare workers who took sick leave between 2015 and 2018. The records included a large sample size of 2,850 employees. Descriptive statistics were run, and the number of sick leave episodes was stratified by sick leave diagnosis. Bivariate analysis was done to investigate the association of the outcome with all predictors. To identify potential predictors of sick leave episodes, a multiple linear regression was conducted, and a p-value<0.05 was considered statistically significant.Results:Infectious diseases and musculoskeletal disorders diagnoses accounted for the highest number of sick leaves throughout the study period. All diagnoses had a short duration of sick leave days, with the mean duration of all diagnoses being 2.60 days. As for predictors of number of sick leave episodes, results from multiple regression analysis showed that the female gender, older age, marital status, lower job grade, job position, smoking status, and some medical conditions (namely gastrointestinal problems, respiratory problems, kidney disease, headache, back pain, and anxiety) were all significant predictors of taking more sick-leave episodes in the study population. Conclusion:Analyzing sick leave is a complex process with multifactorial determinants, and our study found a significant association between multiple demographics, work related, and health related predictors with the number of sick leave episodes. These findings call for further research to evaluate how interventions such as smoking cessation programs, safe patient handling programs, and employee assistant programs could impact sick leave rates among healthcare workers. Such interventions would guide policies for healthier, safer, and more productive workplaces.