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

BACKGROUND: COVID-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. METHODS: A 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. RESULTS: Overall, 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). CONCLUSION: The 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.

Strategies for COVID-19 control among migrant labourers in a developing country setting: Pathanamthitta model from Kerala.

BACKGROUND: The ongoing pandemic of Covid-19 is a public health emergency with serious implications world-wide including India. Vulnerable population like migrants are often left out of epidemic preparedness planning and reaching out these marginalized population is a challenge. OBJECTIVE: To describe different strategies implemented for control and prevention of Covid-19 among migrants in Pathanamthitta. RESULTS: Strategies for Covid-19 control among migrant labourers were planned and implemented with intersectoral coordination and community participation. Line listing and risk stratification, mobilisation of community volunteers, contactless active symptomatic surveillance using technology, IEC activities for awareness generation in multiple languages, sample collection, testing and distribution of personal protective equipment's were initially implemented. Setting up of a call centre facility assisted with M health technology exclusively for addressing concerns of migrants was first and one of its kind in the country. In addition to that special measures were taken to improve adherence and wellbeing of migrants which included addressing medical needs of migrants including psychological needs, ensuring food security, migrant hostels for the providing shelter, basic health care, isolation facilities and arranging transportation facilities for more than 10,000 stranded migrants. The success of these strategies was evident from the fact that not even a single migrant labourer was tested positive in the district during this period. CONCLUSION: Pathanamthitta district being in a resource constraint setting showed a very effective model by implementing technology assisted strategies tailored to the needs of population.The success of these highly effective and replicable strategy underlines the need to incorporate principles of primary health care in crisis management.