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.

Effect of in utero exposure to SARS-CoV-2 infection on pregnancy outcomes and growth and development of infants: protocol for a multicentre ambispective cohort study in India.

INTRODUCTION: Poor pregnancy and neonatal outcomes in infants born to COVID-19 positive mothers have been reported, but there is insufficient evidence regarding subsequent growth and development of these children. Our study aims to explore the effect of in-utero exposure to SARS-CoV-2 on pregnancy outcomes and growth and development of infants. METHODS AND ANALYSIS: A multicentric ambispective cohort study with comparison group (1:1) will be conducted at six sites. A total of 2400 participants (exposure cohort, n=1200; comparison cohort, n=1200), ie, 400 participants from each site (200 retrospectively; 200 prospectively) will be included. Exposure cohort will be infants born to women with documented COVID-19 infection anytime during pregnancy and comparison cohort will be infants born to women who did not test positive for SARS-CoV-2 anytime during pregnancy. All infants will be followed up till 1 year of age. Anthropometric measurement, age of attainment of developmental milestones and clinical examination findings will be recorded at each follow-up. Data regarding possible cofactors affecting the outcomes will be collected from both groups and adjusted for during analysis. The two groups will be compared for prevalence of every variable considered in the study. Relative risk, attributable and population attributable risks will be calculated. All risk factors with p<0.1 on bivariate analysis will be subjected to multiple logistic regression analysis. A final multivariable model will be developed by including the statistically significant risk factors. ETHICS AND DISSEMINATION: The study has been approved by the Institutional Review Board of IIHMR Delhi (IRB/2021-2022/006) and will be required to be approved at all participating study sites. The study is scheduled from September 2021 to August 2023. Data from retrospective cohort will be reported by August 2022. All participants will provide written informed consent. We plan to publish our results in a peer-reviewed journal and present findings at academic conferences.

Psychosocial impact of COVID-19 pandemic on healthcare workers in India & their perceptions on the way forward - A qualitative study.

Background & objectives: The healthcare system across the world has been overburdened due to the COVID-19 pandemic impacting healthcare workers (HCWs) in different ways. The present study provides an insight into the psychosocial challenges faced by the HCWs related to their work, family and personal well-being and the associated stigmas. Additionally, the coping mechanisms adopted by them and their perceptions on the interventions to address these challenges were also explored. Methods: A qualitative study was conducted between September and December 2020 through in-depth telephonic interviews using an interview guide among 111 HCWs who were involved in COVID-19 management across 10 States in India. Results: HCWs report major changes in work-life environment that included excessive workload with erratic timings accentuated with the extended duration of inconvenient personal protection equipment usage, periods of quarantine and long durations of separation from family. Family-related issues were manifold; the main challenge being separated from family, the challenge of caregiving, especially for females with infants and children, and fears around infecting family. Stigma from the community and peers fuelled by the fear of infection was manifested through avoidance and rejection. Coping strategies included peer, family support and the positive experiences manifested as appreciation and recognition for their contribution during the pandemic. Interpretation & conclusions: The study demonstrates the psychological burden of HCWs engaged with COVID-19 care services. The study findings point to need-based psychosocial interventions at the organizational, societal and individual levels. This includes a conducive working environment involving periodic evaluation of the HCW problems, rotation of workforce by engaging more staff, debunking of false information, community and HCW involvement in COVID sensitization to allay fears and prevent stigma associated with COVID-19 infection/transmission and finally need-based psychological support for them and their families.

Predictors of COVID-19 Vaccine Acceptance, Intention, and Hesitancy: A Scoping Review.

COVID-19 vaccine is regarded as the most promising means of limiting the spread of or eliminating the pandemic. The success of this strategy will rely on the rate of vaccine acceptance globally. The study aims to examine the factors that influence COVID-19 vaccine acceptance, intention, and hesitancy. PubMed was searched comprehensively for articles using the keyword "COVID-19 vaccine surveys." Of the 192 records, 22 studies were eligible for the review. Eighty-two percent of these studies were conducted among the general population. Gender, age, education, and occupation were some of the socio-demographic variables associated with vaccine acceptance. Variables such as trust in authorities, risk perception of COVID-19 infection, vaccine efficacy, current or previous influenza vaccination, and vaccine safety affected vaccine acceptance. Globally, in March 2020, the average vaccine acceptance observed was 86% which dropped to 54% in July 2020 which later increased to 72% in September 2020. Globally, the average rate of vaccine hesitancy in April 2020 was 21%, which increased to 36% in July 2020 and later declined to 16% in October 2020. Large variability in vaccine acceptance and high vaccine hesitancy can influence the efforts to eliminate the COVID-19. Addressing the barriers and facilitators of vaccines will be crucial in implementing effective and tailored interventions to attain maximum vaccine coverage.

Examine the impact of COVID-19 Vaccine Communication, Acceptance and Practice (CO-VIN-CAP) on Vaccine hesitancy in an Indian setting: Protocol for a Cross-Sectional Study.

BACKGROUND: COVID-19 vaccine is considered to be a key to limiting and eliminating infectious disease. But, the success of the vaccination program will rely on the rates of vaccine acceptance among the population. OBJECTIVE: The objective of this study is to examine the factors that influence vaccine hesitancy and vaccine acceptance and to explore the unintended consequences of COVID-19 infections. The study will further explore the association between socio-demographic characteristics, health status, COVID-19 related knowledge, attitude, practice, and its influence on Vaccine hesitancy and acceptance among individuals living in urban and rural settings of Chennai, Tamil Nadu in the Southern state of India. METHODS: A cross-sectional study will be conducted between January 2021 and January 2023. A sample of approximately 25,000 individuals will be recruited and enrolled using a non-probability complete enumeration sampling method from eleven selected urban and rural settings of Chennai. The data will be collected at a one-time point by administering the questionnaire to the eligible study participants. The collected data will be used to assess the rates of vaccine acceptance, hesitancy as well as knowledge, attitudes, practices, and beliefs regarding COVID-19 and COVID-19 vaccine. Lastly, the study questionnaire will be used to assess the unintended consequences of COVID-19 infection. RESULTS: A pilot of 2500 individuals has been conducted to pre-test the self-administered study questionnaire. The data collection initiated on March 1, 2021 and the initial results are planned for publication by June 2021. Descriptive analysis of the gathered data will be performed using Statistical Analysis System (SAS) v9.1 and reporting of the results will be done at 95% confidence interval and P=.049. The study will help explore the burden of vaccine acceptance and hesitancy among individuals living in urban and rural settings of Chennai. Further, it will help to examine the variables that influence vaccine acceptance and hesitancy. Lastly, the result findings will help to design and develop a user-centered informatics platform that can deliver multimedia-driven health educational modules tailored to facilitate vaccine uptake in varied settings. CONCLUSIONS: The proposed study will help in understanding the rate and determinants of COVID-19 vaccine acceptance and hesitancy among the population of Chennai. The findings of the study would further facilitate the development of a multifaceted intervention to enhance vaccine acceptance among the population.

Tracking COVID-19 burden in India: A review using SMAART RAPID tracker.

OBJECTIVE: India has seen a rapid rise in COVID-19 cases. Examine spatiotemporal variation of COVID-19 burden Tracker across Indian states and union territories using SMAART RAPID Tracker. METHOD: We used SMAART RAPID Tracker to visually display COVID-19 spread in space and time across various states and UTs of India. Data gathered from publicly available government information sources. Data analysis on COVID-19 conducted from March 1 2020 to October 1 2020. Variables recorded include COVID-19 cases and fatality, 7-day average change, recovery rate, labs and tests. Spatial and temporal trends of COVID-19 spread across Indian states and UTs is presented. RESULT: The total number of COVID-19 cases were 63, 12,584 and total fatality was 86,821 (October 1 2020). More than 85,000 new cases of COVID-19 were reported. There were 1,867 total COVID-19 labs throughout India. More than half of them were Government labs. The total number of COVID-19 tests was 76,717,728 and total recovered COVID-19 cases was 5,273,201. Results show an overall decline in the 7-day average change of new COVID-19 cases and new COVID-19 fatality. States such as Maharashtra, Chandigarh, Puducherry, Goa, Karnataka and Andhra Pradesh continue to have high COVID-19 infectivity rate. DISCUSSION: Findings highlight need for both national guidelines combined with state specific recommendations to help manage the spread of COVD-19. CONCLUSION: The heterogeneity represented in India in terms of its geography and various population groups highlight the need of state specific approach to monitor and combat the ongoing pandemic. This would further facilitate the tailored approach for each state to mitigate and contain the spread of the disease.

India's COVID-19 Burdens, 2020.

The purpose of this article is two pronged; first, to identify and report public health implications of the ongoing coronavirus (COVID-19) pandemic, and second, to report challenges uniquely faced by the citizens of India from a population health perspective. We have done both while closely examining epidemiological data that is accessible via SMAART's RAPID Tracker. This policy informatics platform is a live database aimed to track the geospatial spread of the COVID-19 outbreak and policy actions globally and is administered collaboratively by CUNY's Graduate School of Public Health and Health Policy and a global, non-profit public health incubator. Infectivity, incidence, and recovery rates were computed and graphical representations of epidemiological datasets were studied. We have discussed a plausible conceptual framework based on the principles of population health informatics for countries with similar characteristics to build a stronger public and community health foundation in order to safeguard populations during a health emergency in the future.