Lina Fakih

ORCID: 0000-0003-0016-9642
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About
Contact & Profiles
Research Areas
  • Workplace Health and Well-being
  • COVID-19 and Mental Health
  • SARS-CoV-2 and COVID-19 Research
  • Occupational Health and Burnout
  • COVID-19 epidemiological studies
  • Occupational Health and Safety Research
  • Resilience and Mental Health
  • Dementia and Cognitive Impairment Research
  • Family Caregiving in Mental Illness
  • Thermoregulation and physiological responses
  • Mental Health Treatment and Access
  • Vaccine Coverage and Hesitancy
  • Viral Infections and Outbreaks Research
  • Innovations in Medical Education
  • Nursing Roles and Practices
  • Employment and Welfare Studies
  • Disaster Response and Management
  • COVID-19 Clinical Research Studies
  • Climate Change and Health Impacts
  • Intergenerational Family Dynamics and Caregiving
  • Interprofessional Education and Collaboration
  • Healthcare professionals’ stress and burnout
  • Global Health Care Issues
  • Pesticide Exposure and Toxicity
  • Building Energy and Comfort Optimization

American University of Beirut Medical Center
2022-2025

American University of Beirut
2023-2024

University College London
2023

Yale University
2022

Background: Healthcare workers (HCWs) have been severely impacted by the COVID-19 pandemic. In addition to their risk of direct exposure virus, they were subjected long working hours, scarcity PPE, and additional stressors that psychological wellbeing. The purpose this study was assess anxiety its predictors among a sample HCWs at American University Beirut Medical Center (AUBMC) evaluate association between resilience anxiety. Methods: This cross-sectional conducted using an online survey...

10.2147/prbm.s350125 article EN cc-by-nc Psychology Research and Behavior Management 2022-04-01

Background: Absenteeism among healthcare workers (HCWs) disrupts workflows and hampers the delivery of adequate patient care. The aim study was to examine predictors sick leaves HCWs in a tertiary medical center Lebanon. Methods: A retrospective analysis linked health records 2850 between 2015 2018 performed. Sick leave episodes were stratified by diagnosis. Bivariate negative binomial regression analyses performed investigate predictors. Results: mean number 10.6 per person over 4 years....

10.3390/ijerph22010127 article EN International Journal of Environmental Research and Public Health 2025-01-20

Background Little has been published on predictors of prolonged sick leaves during the COVID-19 pandemic. This study aims to determine rate infections among healthcare workers (HCWs) and identify longer leave days. Methods We identified using linear regression analysis in a cross-sectional design. Results Thirty-three percent total workforce contracted COVID-19. On average, HCWs took 12.5 days after infection. The revealed that older employees, nurses, those who caught earlier pandemic were...

10.1097/jom.0000000000002857 article EN Journal of Occupational and Environmental Medicine 2023-04-04

Background: The COVID-19 pandemic strained healthcare systems around the world. This study aims to understand preparedness of private remote hospitals in Lebanon respond and evaluate impact inter-hospital collaborations on hospitals’ readiness. Methods: A multi-centered was conducted between August 2020 June 2021 ten Lebanese based a mixed-methods embedded approach where quantitative supported qualitative. Through AUB-USAID (American University Beirut-United States Agency for International...

10.3390/healthcare12030321 article EN Healthcare 2024-01-26

Interprofessional collaboration is key to improving the health of individuals and communities. It supported by provision education (IPE) which has recently emerged in Middle East region. This study investigated changes healthcare students' attitudes towards interprofessional after undertaking Education Collaboration (IPEC) course.A paper-based anonymous survey using Attitude Scale (IPAS) was administered a sample 346 students (nursing, medicine, public health) pre/post IPEC course. Less than...

10.1186/s12909-022-03608-z article EN cc-by BMC Medical Education 2022-07-23

Abstract Introduction Refugees from war-torn neighboring Syria are often engaged in agricultural practices Lebanon. Little is known about their multiple exposures to workplace hazards and psychosocial stressors. Our objective describe the methods used develop a research protocol tools that culturally appropriate for this vulnerable population. Methods An iterative process was learn stakeholders intermediary organizations Beqaa, Interviews field observations identified work practices,...

10.1093/occmed/kqae023.1266 article EN Occupational Medicine 2024-07-01

Background Healthcare workers (HCWs) faced substantial risk of infection during the COVID-19 outbreak. This study aims to determine prevalence anti-SARS-CoV-2 antibodies in a cross-sectional sample HCWs as well factors associated with exposure SARS-CoV-2. Methods The was conducted between March and May 2021 at American University Beirut Medical Center (AUBMC), tertiary hospital located Lebanon. Socio-demographic clinical data, data on exposure, PCR results, PPE adherence, vaccination status,...

10.1177/21650799231214234 article EN Workplace Health & Safety 2023-12-30

Abstract Background Studies have shown that dementia caregivers are inclined to sacrifice their well-being leaving them susceptible an increased risk of anxiety, low quality life, and depression. With the proportion female being unusually high, most studies focused exclusively on burden care in caregivers, resulting a knowledge gap regarding male caregiver burden. This study aimed assess difference experienced by patients association with psychological wellbeing according gender. Methods was...

10.21203/rs.3.rs-1166948/v1 preprint EN cc-by Research Square (Research Square) 2022-01-17

Abstract 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 the employees a tertiary medical center in Lebanon between years 2015 2018. Methods: This study was retrospective analysis leave records population workers who took The included large sample size 2,850 employees. Descriptive statistics were run, number episodes...

10.21203/rs.3.rs-1592195/v2 preprint EN cc-by Research Square (Research Square) 2022-05-19

Abstract 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 the employees a tertiary medical center in Lebanon between years 2015 2018. Methods: This study was retrospective analysis leave records population workers who took The included large sample size 2,850 employees. Descriptive statistics were run, number episodes...

10.21203/rs.3.rs-1592195/v1 preprint EN cc-by Research Square (Research Square) 2022-04-28
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