Psychological distress and burnout among healthcare worker during COVID-19 pandemic in India-A cross-sectional study.

BackgroundCOVID-19 has inundated the entire world disrupting the lives of millions of people. The pandemic has stressed the healthcare system of India impacting the psychological status and functioning of health care workers. The aim of this study is to determine the burnout levels and factors associated with the risk of psychological distress among healthcare workers (HCW) engaged in the management of COVID 19 in India.MethodsA cross-sectional study was conducted from 1 September 2020 to 30 November 2020 by telephonic interviews using a web-based Google form. Health facilities and community centres from 12 cities located in 10 states were selected for data collection. Data on socio-demographic and occupation-related variables like age, sex, type of family, income, type of occupation, hours of work and income were obtained was obtained from 967 participants, including doctors, nurses, ambulance drivers, emergency response teams, lab personnel, and others directly involved in COVID 19 patient care. Levels of psychological distress was assessed by the General health Questionnaire -GHQ-5 and levels of burnout was assessed using the ICMR-NIOH Burnout questionnaire. Multivariable logistic regression analysis was performed to identify factors associated with the risk of psychological distress. The third quartile values of the three subscales of burnout viz EE, DP and PA were used to identify burnout profiles of the healthcare workers.ResultsOverall, 52.9% of the participants had the risk of psychological distress that needed further evaluation. Risk of psychological distress was significantly associated with longer hours of work (≥ 8 hours a day) (AOR = 2.38, 95% CI(1.66-3.41), income≥20000(AOR = 1.74, 95% CI, (1.16-2.6); screening of COVID-19 patients (AOR = 1.63 95% CI (1.09-2.46), contact tracing (AOR = 2.05, 95% CI (1.1-3.81), High Emotional exhaustion score (EE ≥16) (AOR = 4.41 95% CI (3.14-6.28) and High Depersonalisation score (DP≥7) (AOR = 1.79, 95% CI (1.28-2.51)). About 4.7% of the HCWs were overextended (EE>18); 6.5% were disengaged (DP>8) and 9.7% HCWs were showing signs of burnout (high on all three dimensions).ConclusionThe study has identified key factors that could have been likely triggers for psychological distress among healthcare workers who were engaged in management of COVID cases in India. The study also demonstrates the use of GHQ-5 and ICMR-NIOH Burnout questionnaire as important tools to identify persons at risk of psychological distress and occurrence of burnout symptoms respectively. The findings provide useful guide to planning interventions to mitigate mental health problems among HCW in future epidemic/pandemic scenarios in the country

Genomic analysis of early SARS-CoV-2 breakthrough infections from the state of Kerala suggest a preponderance of variants of concern

The SARS-CoV-2 Variant of Concern, Delta (B.1.617.2) was first reported in December 2020 in India and has spread colossally throughout the globe. Owing to factors like increased transmissibility, immune escape, and virulence, the delta variant has been considered as a potential public health threat apart from other variants of concern like alpha, beta and gamma. Kerala was one of the first states in India to enroll in the systematic genomic surveillance. In the present report, vaccine breakthrough infections were followed up in 147 patients including 55 healthcare workers who had been vaccinated with ChAdOx1 nCoV- 19/BBV152 across eleven districts from the state of Kerala. The timeline of samples analysed were from April 2021 till June 2021. Severity of the infections reported in the enrolled patients found to be mildly symptomatic, majorly with only 0.7% (n=1) of the cohort to be asymptomatic. Genomic analysis of the samples revealed the Delta variant (B.1.617.2) to constitute about 81.6% (n=120) in the studied cohort. This was followed by the Kappa variant B.1.617.1 (8.35%, n=9), AY.1 (0.6%, n= 1), AY.12 (0.6%, n= 1), AY.4 (1.2%, n= 2), AY.9 (1.2%, n= 2) and Eta variant, B.1.525 (0.6%, n= 1). 11 samples were not assigned any lineage. Evidence from this study suggests the preponderance of the Delta variant in the samples analysed