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Background And Aim: The COVID-19 pandemic has impacted healthcare workers' mental health, causing stress, anxiety, burnout, and post-traumatic stress disorder. This study evaluated psychological indicators across government and private healthcare settings to develop targeted mental health interventions for healthcare workers.
Methodology: This cross-sectional study was conducted over one year at the Sri Ramachandra Institute of Higher Education and Research, Chennai, India, and the Government Headquarters Hospital in Kanchipuram, India. The study involved 400 healthcare workers from each tertiary care hospital. A stratified random sampling method categorized workers into frontline and non-frontline groups. Data were collected using a custom questionnaire for stress and demographic data, and standardized questionnaires for anxiety and depression: the Hamilton Anxiety Rating Scale (HAM-A) and Hamilton Rating Scale for Depression (HAM-D). Statistical analyses used independent t-tests and chi-square tests.
Results: Frontline workers showed elevated incidences of severe anxiety (n=22, 22%) and depression (n=32, 31.8%) compared to non-frontline counterparts. Non-frontline workers reported higher levels of mild-to-moderate stress and anxiety. Healthcare professionals in the private sector showed higher levels of severe stress (n=78, 39%), anxiety (n=88, 44%), and depression (n=84, 42%) than those in the government sector. Significant differences were observed in psychological assessments between frontline and non-frontline workers and between government and private-sector workers.
Conclusion: This study shows the impact of the COVID-19 pandemic on healthcare workers' psychological well-being. Frontline workers faced higher rates of severe anxiety and depression, while non-frontline workers experienced notable levels of mild-to-moderate stress. These findings emphasize the need for support systems and interventions tailored to address the needs of frontline and non-frontline healthcare workers across government and private sectors.
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http://dx.doi.org/10.7759/cureus.91426 | DOI Listing |
J Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.
JAMA Netw Open
September 2025
Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Importance: Long COVID (ie, post-COVID-19 condition) is a substantial public health concern, and its association with health-related social needs, such as food insecurity, remains poorly understood. Identifying modifiable risk factors like food insecurity and interventions like food assistance programs is critical for reducing the health burden of long COVID.
Objective: To investigate the association of food insecurity with long COVID and to assess the modifying factors of Supplemental Nutrition Assistance Program (SNAP) participation and employment status.
JAMA Netw Open
September 2025
Centre de recherche intégrée pour un système apprenant en santé et services sociaux, Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada.
Importance: Caregivers of community-dwelling older adults play a protective role in emergency department (ED) care transitions. When the demands of caregiving result in caregiver burden, ED returns can ensue.
Objective: To develop models describing whether caregiver burden is associated with ED revisits and hospital admissions up to 30 days after discharge from an initial ED visit.