Intersectional Inequalities in Anthropometric Failure among Indian Children: Evidence from the National Family Health Survey (2015-2016).

Increasing body of health planning and policy research focused upon unravelling the fundamental drivers of population health and nutrition inequities, such as wealth status, educational status, caste/ethnicity, gender, place of residence, and geographical context, that often interact to produce health inequalities. However, very few studies have employed intersectional framework to explicitly demonstrate how intersecting dimensions of privilege, power, and resources form the burden of anthropometric failures of children among low-and-middle income countries including India. Data on 2,15,554 sampled children below 5 years of age from the National Family Health Survey 2015-2016 were analysed. This study employed intersectional approach to examine caste group inequalities in the anthropometric failure (i.e. moderate stunting, severe stunting, moderate underweight, severe underweight, moderate wasting, severe wasting) among children in India. Descriptive statistics and multinomial logistic regression models were fitted to investigate the heterogeneities in the burden of anthropometric failure across demographic, socioeconomic and contextual factors. Interaction effects were estimated to model the joint effects of socioeconomic position (household wealth, maternal education, urban/rural residence and geographical region) and caste groups with the likelihood of anthropometric failure among children.More than half of under-5 children suffered from anthropometric failure in India. Net of the demographic and socioeconomic characteristics, children from the disadvantageous caste groups whose mother were illiterate, belonged to economically poor households, resided in the rural areas, and coming from the central and eastern regions experienced disproportionately higher risk of anthropometric failure than their counterparts in India. Concerted policy processes must recognize the existing heterogeneities between and within population groups to improve the precision targeting of the beneficiary and enhance the efficiency of the nutritional program among under-5 children, particularly for the historically marginalized caste groups in India.

Development & validation of scales to assess stigma related to COVID-19 in India.

Background & objectives: COVID-19 pandemic has triggered social stigma towards individuals affected and their families. This study describes the process undertaken for the development and validation of scales to assess stigmatizing attitudes and experiences among COVID-19 and non-COVID-19 participants from the community. Methods: COVID-19 Stigma Scale and Community COVID-19 Stigma Scale constituting 13 and six items, respectively, were developed based on review of literature and news reports, expert committee evaluation and participants' interviews through telephone for a multicentric study in India. For content validity, 61 (30 COVID-19-recovered and 31 non-COVID-19 participants from the community) were recruited. Test-retest reliability of the scales was assessed among 99 participants (41 COVID-19 recovered and 58 non-COVID-19). Participants were administered the scale at two-time points after a gap of 7-12 days. Cronbach's alpha, overall percentage agreement and kappa statistics were used to assess internal consistency and test-retest reliability. Results: Items in the scales were relevant and comprehensible. Both the scales had Cronbach's α above 0.6 indicating moderate-to-good internal consistency. Test-retest reliability assessed using kappa statistics indicated that for the COVID-19 Stigma Scale, seven items had a moderate agreement (0.4-0.6). For the Community COVID-19 Stigma Scale, four items had a moderate agreement. Interpretation & conclusions: Validity and reliability of the two stigma scales indicated that the scales were comprehensible and had moderate internal consistency. These scales could be used to assess COVID-19 stigma and help in the development of appropriate stigma reduction interventions for COVID-19 infected, and mitigation of stigmatizing attitudes in the community.

Burden and cost of communicable, maternal, perinatal and nutrition deficiency diseases in India.

BACKGROUND: Globally 36% of deaths and 42% of Disability Adjusted Life Years (DALYs) are due to communicable, maternal, perinatal and nutritional disorders (CMPND). We examined the state-wise disease burden and treatment cost for these diseases in India for 2017. METHODS: DALYs for CMPND was obtained from National Disease Burden Estimate (NBE) Study and the expenditure was determined from the unit level records of persons who reported hospitalization for one or more CMPND in National Sample Survey (NSS)-75th Round. RESULTS: The top conditions resulting in high DALYs for India were perinatal conditions and nutritional deficiency disorders. Odisha had the highest DALY rate, while Kerala had the lowest DALY rate for CMPNDs. The out-of-pocket expenditure (OOPE) was highest in Chattisgarh, while percentage of households pushed to CHE was highest in Uttar Pradesh for CMPND. CONCLUSION: The public healthcare facilities need to be strengthened to facilitate patients with CMPND to undergo treatment that is timely, affordable and cost-effective. Efforts should be made for optimization of strategies aimed at primary and secondary prevention of CMPND and reduce OOPE for treatment of these diseases. In addition, advocacy spreading awareness will reduce the burden and treatment expenditure for CMPNDs in India.

Variation and determinants of early initiation of breastfeeding in high and low neonatal mortality settings in India.

Early initiation of breastfeeding (EIBF) is considered one of the most cost-effective interventions for infant survival and well-being. This study aimed to examine the variations in, and determinants of, early initiation of breastfeeding among women in high and low neonatal mortality rate (NMR) settings in India using data from the fourth round of the National Family Health Survey conducted in 2015-16. At 35%, EIBF was found to be disproportionately low in the high NMR group of states compared with 52% in the low NMR group, with the national average being 44%. The chance of EIBF significantly increased if childbirth was vaginal, delivery took place in a health institution, the mother received breastfeeding advice and the birth was a planned one in both high and low NMR settings. In the high NMR group of states, the probability of initiating breastfeeding immediately after birth improved to a great extent if childbirth was assisted by a trained person and if the mother was exposed to any type of mass media. There is an urgent need to increase the access of mothers to breastfeeding advice during pregnancy and to increase their exposure to mass media, particularly in high NMR states. In addition, achieving universal access to institutional deliveries and deliveries assisted by a skilled birth attendant, especially in high NMR settings, and promoting early breastfeeding, especially in the case of Caesarean deliveries, would further improve the level of EIBF in the country as a whole. These interventions can potentially increase the prevalence of early initiation of breastfeeding and help India attain the neonatal mortality rate target of Sustainable Development Goal 3.

Rising healthcare expenditure on tuberculosis: Can India achieve the End TB goal?

OBJECTIVE: To examine the out-of-pocket expenditure (OOPE), healthcare burden, catastrophic health expenditure, hardship financing and impoverishment effects of TB treatment in India. METHODS: Data of three rounds of National Statistic Surveys 60th 2004-05, 71st 2013-14 and 75th 2017-18. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the OOPE, healthcare burden, catastrophic health expenditure, hardship financing and impoverishment using standard definitions at December 2019 price values. RESULTS: More than two-thirds of the TB cases are seen in the economically productive age group (14-59 years). Illiterate patients had a higher healthcare burden and OOPE. The healthcare burden, hardship financing and catastrophic health expenditure are considerably higher for those utilising private hospitals. Male patients have a higher exposure to hardship financing than female patients. Impoverishment effects are higher among Hindus and illiterate populations due to utilisation of hospitalisation services. CONCLUSION: The present analysis helps to understand the trends in the financial burden of TB on households over last 15 years, thus providing evidence to policymakers for more effective channelling of resources in order to achieve a TB-free India by 2025.

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.

Do tribal children experience elevated risk of poor nutritional status in India? A multilevel analysis.

Economic progress in India over the past three decades has not been accompanied by a commensurate improvement in the nutritional status of children, and a disproportionate burden of undernutrition is still focused on socioeconomically disadvantaged populations in the poorest regions. This study examined the nutritional status of children under 3 years of age using data from the fourth round of Indian National Family Health Survey conducted in 2015-2016. Child undernutrition was assessed in a sample of 126,431 under-3 children using the anthropometric indices of stunting, underweight and wasting ('anthropometric failure') across 640 districts, 5489 primary sampling units and 35 states/UTs of India. Descriptive statistics were used to examine the regional pattern of childhood undernutrition. Multilevel logistic regression models were fitted to examine the adjusted effect of social group (tribal vs non-tribal) and economic, demographic and contextual factors on the risks of stunting, underweight and wasting accounting for the hierarchical nature of the data. Interaction effects were estimated to model the joint effects of socioeconomic position (household wealth, maternal education, urban/rural residence and geographical region) and social group (tribal vs non-tribal) with the likelihood of anthropometric failure among children. The burden of childhood undernutrition was found to vary starkly across social, economic, demographic and contextual factors. Interaction effects demonstrated that tribal children from economically poorer households, with less-educated mothers, residing in rural areas and living in the Central region of India had elevated odds of anthropometric deprivation than other tribal children. The one-size-fits-all approach to tackling undernutrition in tribal children may not be efficient and could be counterproductive.

Economic burden and economic impact associated with non-communicable diseases among countries of World Health Organization South-East Asia Region - a systematic review protocol.

OBJECTIVE: The objective of this systematic review is to synthesize studies on economic burden and economic impact of noncommunicable diseases (NCDs) in the World Health Organization South-East Asian Region (WHO SEAR) countries. INTRODUCTION: WHO SEAR countries represent 8.6% of the world's population and 75% of all deaths in this region are attributable to NCDs. In addition, there is a pattern of low government spending on health in SEAR countries, leading to a high proportion of health financing by patients', risking impoverishment for households. INCLUSION CRITERIA: We will consider observational (cross-sectional, cohort, and case-control) and interventional (either single arm or comparative) studies that report economic burden (direct and indirect costs, out-of-pocket expenditure) and economic impact (catastrophic health expenditure, hardship financing, impoverishment, and gross domestic product impact at individual, household, and/or country levels). This includes government surveys, surveillance, and secondary data analyses for one or more NCDs prevalent in the WHO SEAR. METHODS: We will conduct a comprehensive search for relevant studies in databases, including PubMed (MEDLINE), Embase (Ovid), Scopus, Web of Science, Google Scholar, and gray literature with no date limits. Two independent reviewers will screen titles and abstracts, followed by full-text screening. Included studies will be critically appraised for quality. Data will be extracted accordingly and, if possible, random effects meta-analyses will be conducted on the pooled data for resource utilization and costs (including burden and impact), presenting the degree of variation between studies. The characteristics and results of the included studies will be narratively summarized with accompanying tables. REVIEW REGISTRATION: PROSPERO CRD42023421302.

Hospitalisation expenditure on tuberculosis among tribal populations in India: A repeated cross-sectional analysis of national sample survey data, 2004 to 2018.

Objective: Tribal population in India (8.6% of the total population) have a greater prevalence of tuberculosis compared to the national average. The article aims to study out-of-pocket expenditure (OOPE), hardship financing, and impoverishment effects of TB hospitalisation treatment among tribal populations in India. Methods: Data of three rounds of National Sample Surveys (NSS) 60th (2004-05), 71st (2013-14) and 75th (2017-18) rounds were analyzed. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the OOPE, healthcare burden (HCB), catastrophic health expenditure (CHE), hardship financing and impoverishment effects using standard definitions at February 2023 price values. Propensity score matching (PSM) was used to examine the effect of health insurance coverage on catastrophic health expenditure, and impoverishment. Results: Over two-thirds of the TB cases are seen in the economically productive age group (14-59 years). Substantial OOPE and its impact on HCB, CHE, and poverty impact observed among 15-35 age group across all three rounds. Illiterate patients and those availing private hospitals for TB treatment had higher OOPE, HCB, hardship financing, CHE, and poverty impact. 38.5% (2014) and 33.2% (2018) are covered with any kind of public healthcare coverage, PSM analysis shows households with health insurance have lower incidence of CHE and impoverishment effects due to TB hospitalisation expenditure. Conclusions: The current study aids in comprehending the patterns in the financial burden of TB on tribal households during the previous 15 years and gives policy makers information for efficient resource allocation management for TB among Indian tribal communities.

Impact of COVID-19 on utilization of maternal and child health services in India: Health management information system data analysis.

Background/Objectives: Studies globally have documented the impact of COVID 19 on maternal and newborn health services. This study assesses the impact of COVID-19 on essential maternal and child health (MCH) services in India based on the national Health Management Information System (HMIS). Methods: Present retrospective study used secondary data analysis upon the routinely collected data accessed from Health Management Information System. Microdata on maternal and newborn indicators was extracted for all states between April and June during 2019, 2020 and 2021. Relative change for each indicator were taken into consideration for the year 2020 and 2021; with respect to the outcomes in 2019. Results: Compared to 2019, antenatal care registrations saw a decline in all states for both periods in 2020 and 2021 except for Sikkim, Telangana, Maharashtra and Andhra Pradesh. Similarly, the relative changes in 2019 pertaining to the proportion of pregnant women provided with emergency obstetric care for pregnancy complications registered a decline in all states except for Himachal Pradesh, Telangana and Arunachal Pradesh. There was a decreasing trend noted in institutional deliveries in 2020 and 2021 among all major states. However, an increasing trend was seen in the number of immunization sessions held among all major states. Conclusion: The study demonstrates a disruption in service delivery during the lockdown period in the first wave and the peak of the second wave. Further qualitative studies need to be undertaken to generate evidence for maintaining continuum of care during a pandemic situation.

Measuring the financial impact of disabilities in India (an analysis of national sample survey data).

BACKGROUND: People with disabilities are vulnerable because of the many challenges they face attitudinal, physical, and financial. The National Policy for Persons with Disabilities (2006) recognizes that Persons with Disabilities are valuable human resources for the country and seeks to create an environment that provides equal opportunities, and protection of their rights, and full. There are limited studies on health care burden due to disabilities of various types. AIM: The present study examines the socioeconomic and state-wise differences in the prevalence of disabilities and related household financial burden in India. METHODS: Data for this study was obtained from the National Sample Survey (NSS), 76th round Persons with Disabilities in India Survey 2018. The survey covered a sample of 1,18,152 households, 5,76,569 individuals, of which 1,06,894 of had any disability. This study performed descriptive statistics, and bivariate estimates. RESULTS: The finding of the analysis showed that prevalence of disability of any kind was 22 persons per 1000. Around, one-fifth (20.32%) of the household's monthly consumption expenditure was spent on out-of-pocket expenditure for disability. More than half (57.1%) of the households were pushed to catastrophic health expenditure due to one of the members being disabled. Almost one-fifth (19.1%) of the households who were above the poverty line before one of members was treated for disability were pushed below the poverty line after the expenditure of the treatment and average percentage shortfall in income from the poverty line was 11.0 percent due to disability treatment care expenditure. CONCLUSION: The study provides an insight on the socioeconomic differentials in out-of-pocket expenditure, catastrophic expenditure for treatment of any kind of disability. To attain SDG goal 3 that advocates healthy life and promote well-being for all at all ages, there is a need to recognize the disadvantaged and due to disability.

Factors associated with stigma and manifestations experienced by Indian health care workers involved in COVID-19 management in India: A qualitative study.

Healthcare personnel who deal with COVID-19 experience stigma. There is a lack of national-level representative qualitative data to study COVID-19-related stigma among healthcare workers in India. The present study explores factors associated with stigma and manifestations experienced by Indian healthcare workers involved in COVID-19 management. We conducted in-depth interviews across 10 centres in India, which were analysed using NVivo software version 12. Thematic and sentiment analysis was performed to gain deep insights into the complex phenomenon by categorising the qualitative data into meaningful and related categories. Healthcare workers (HCW) usually addressed the stigma they encountered when doing their COVID duties under the superordinate theme of stigma. Among them, 77.42% said they had been stigmatised in some way. Analyses revealed seven interrelated themes surrounding stigma among healthcare workers. It can be seen that the majority of the stigma and coping sentiments fall into the mixed category, followed by the negative sentiment category. This study contributes to our understanding of stigma and discrimination in low- and middle-income settings. Our data show that the emergence of fear of the virus has quickly turned into a stigma against healthcare workers.

Gender differences in COVID-19 knowledge, risk perception, and public stigma among the general community: Findings from a nationwide cross-sectional study in India.

Introduction: Individual and community characteristics predictive of knowledge, perception, and attitude on COVID-19, specifically on gender, have not been adequately explored. Objective: To examine the gender differences in COVID-19 knowledge, self-risk perception and public stigma among the general community and to understand other socio-demographic factors which were predictive of them. Method: A nationally representative cross-sectional multi-centric survey was conducted among adult individuals(≥18 yrs) from the community member (N = 1978) from six states and one union territory of India between August 2020 to February 2021. The participants were selected using systematic random sampling. The data were collected telephonically using pilot-tested structured questionnaires and were analyzed using STATA. Gender-segregated multivariable analysis was conducted to identify statistically significant predictors (p < 0.05) of COVID-19-related knowledge, risk perception, and public stigma in the community. Results: Study identified significant differences between males and females in their self-risk perception (22.0% & 18.2% respectively) and stigmatizing attitude (55.3% & 47.1% respectively). Highly educated males and females had higher odds of having COVID-19 knowledge (aOR: 16.83: p < 0.05) than illiterates. Highly educated women had higher odds of having self-risk perception (aOR: 2.6; p < 0.05) but lower public stigma [aOR: 0.57; p < 0.05]. Male rural residents had lower odds of having self-risk perception and knowledge [aOR: 0.55; p < 0.05 & aOR: 0.72; p < 0.05] and female rural residents had higher odds of having public stigma [aOR: 1.36; p < 0.05]. Conclusion: Our study findings suggest the importance of considering thegender differentials and their background, education status and residential status in designing effective interventions to improve knowledge and reduce risk perception and stigma in the community about COVID-19.

Unmet need for treatment-seeking from public health facilities in India: An analysis of sociodemographic, regional and disease-wise variations.

Treatment-seeking behaviour is closely associated with the health status of individuals and countries. About 800 million people have no access to health services in the developing world. Though the situation has been improving, the inequalities across geographical regions, socioeconomic status, and disease types continued to persist. The available literature suggests research gaps in examining the unmet need for treatment-seeking from public health facilities across sociodemographic characteristics, regions, and specific diseases. Data for this study comes from the three rounds of National Sample Survey (NSS) (2004, 2014, 2018). We applied descriptive, bivariate, and multivariable analysis to investigate the unmet need for treatment-seeking for public health facilities across sociodemographic characteristics, regions, and specific diseases between 2004 and 2018. The unmet need for treatment-seeking from public health facilities remained high at 60% in 2004 to 62% in 2018. However, the proportion of respondents who did not seek treatment has reduced 12% to 3% from 2004 to 2018. In states like Andhra Pradesh, Madhya Pradesh, Maharashtra, Punjab, Telangana, Uttar Pradesh, and West Bengal, the unmet need for treatment-seeking from public health facilities was more than 60% in 2018. For 2018, the quality of services at public health facilities was the main reason for showing a higher unmet need for treatment-seeking in the richer MPCE quintiles. On the other hand, the ailment not considered serious as the main reason for the unmet need for treatment-seeking from any sources has got nearly doubled from 36% in 2004 to 71% in 2018. This study concludes that improving the availability of various kinds of services at public health facilities should be a priority under India's universal health coverage program. Education plays a vital role in treatment-seeking. Thus, there is an urgent need for increasing awareness among people for treatment-seeking. Ensuring a minimum quality of health care services and reducing long waiting timing would reduce the apathy to receive services from the public health facilities.

Spatio-temporal modeling for malnutrition in tribal population among states of India a Bayesian approach.

Exploring Bayesian spatio-temporal methods to analyze spatial dependence in malnutrition at the state level for tribal children (less than 3 years) population of India and change over time (three rounds of NFHS-2(1998-99),3(2005-06) and 4(2015-16)). The Bayesian model, fitted by Markov chain Monte Carlo simulation using OpenBUGS, for spatial autocorrelation (through spatial random effects modeling). The model estimated (1) mean time trend and (2) spatial random effects. Results of spatio-temporal modeling for stunting, wasting and underweight exhibited a declining mean trend across the study region from NFHS-2 to NFHS-4. Spatial random effects exhibited spatial dependence for various states in stunting, wasting and underweight tribal children. Future research should analyze spatio-temporal distribution for malnutrition at district level which will require NFHS-5 data. Also, analysis can be done capturing spatio-temporal interaction and identifying hot spots and cold spots at district level.

Nonfatal drowning-related hospitalizations and associated healthcare expenditure in India: An analysis of nationally representative survey data.

BACKGROUND: Drowning is a global public health challenge, with significant burden in low- and middle-income countries. There are few studies exploring nonfatal drowning, including the economic and social impacts. This study aimed to quantify unintentional drowning-related hospitalization in India and associated healthcare expenditure. METHOD: Unit level data on unintentional drowning-related hospitalization were obtained from the 75th rounds of the National Sample Survey of Indian households conducted in 2018. The outcome variables were indices of health care cost such as out of pocket expenditure (OOPE), health care burden (HCB), catastrophic health expenditure (CHE), impoverishment, and hardship financing. Descriptive statistics and multivariate analysis were conducted after adjusting for inflation using the pharmaceutical price index for December 2020. The association of socio-demographic characteristics with the outcome variable was reported as relative risk with 95% CI and expenditure reported in Indian Rupees (INR) and United States dollars (USD). RESULTS: 174 respondents reported drowning-related hospitalization (a crude rate of 15.91-31.34 hospitalizations per 100,000 population). Proportionately, more males (63.4%), persons aged 21-50 years (44.9%) and rural dwelling respondents (69.9%) were hospitalized. Drowning-related hospitalization costs on average INR25,421 ($345.11USD) per person per drowning incident. Costs were higher among older respondents, females, urban respondents, and longer lengths of hospital stays. About 14.4% of respondents reported hardship financing as a result of treatment costs and 9.0% of households reported pushed below the poverty line when reporting drowning-related hospitalization. CONCLUSIONS: Drowning can be an economically catastrophic injury, especially for those already impacted by poverty. Drowning is a significant public health problem in India. Investment in drowning prevention program will reduce hospitalization and economic burden. PRACTICAL APPLICATIONS: This study provides support for investment in drowning prevention in India, including a need to ensure drowning prevention interventions address the determinants of health across the lifespan.

Factors associated with COVID-19 stigma during the onset of the global pandemic in India: A cross-sectional study.

Objective: To assess factors associated with COVID-19 stigmatizing attitudes in the community and stigma experiences of COVID-19 recovered individuals during first wave of COVID-19 pandemic in India. Methods: A cross-sectional study was conducted in 18 districts located in 7 States in India during September 2020 to January 2021 among adults > 18 years of age selected through systematic random sampling. Data on socio demographic and COVID-19 knowledge were collected from 303 COVID-19 recovered and 1,976 non-COVID-19 infected individuals from community using a survey questionnaire. Stigma was assessed using COVID-19 Stigma Scale and Community COVID-19 Stigma Scale developed for the study. Informed consent was sought from the participants. Univariate and multivariate binary logistic regression analysis were conducted. Results: Half of the participants (51.3%) from the community reported prevalence of severe stigmatizing attitudes toward COVID-19 infected while 38.6% of COVID-19 recovered participants reported experiencing severe stigma. Participants from the community were more likely to report stigmatizing attitudes toward COVID-19 infected if they were residents of high prevalent COVID-19 zone (AOR: 1.5; CI: 1.2-1.9), staying in rural areas (AOR: 1.5; CI:1.1-1.9), belonged to the age group of 18-30 years (AOR: 1.6; CI 1.2-2.0), were male (AOR: 1.6; CI: 1.3-1.9), illiterate (AOR: 2.7; CI: 1.8-4.2), or living in Maharashtra (AOR: 7.4; CI: 4.8-11.3). COVID-19 recovered participants had higher odds of experiencing stigma if they had poor knowledge about COVID-19 transmission (AOR: 2.8; CI: 1.3-6.3), were staying for 6-15 years (AOR: 3.24; CI: 1.1-9.4) in the current place of residence or belonged to Delhi (AOR: 5.3; CI: 1.04-26.7). Conclusion: Findings indicated presence of stigmatizing attitudes in the community as well as experienced stigma among COVID-19 recovered across selected study sites in India during the first wave of COVID-19 pandemic. Study recommends timely dissemination of factual information to populations vulnerable to misinformation and psychosocial interventions for individuals affected by stigma.

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.

Disease-Specific Out-of-Pocket Payments, Catastrophic Health Expenditure and Impoverishment Effects in India: An Analysis of National Health Survey Data.

BACKGROUND: In India, more than two-thirds of the total health expenditure is incurred through out-of-pocket expenditure (OOPE) by households. Morbidity events thus impose excessive financial risk on households. The Sustainable Development Goals Target 3.8 specifies financial risk protection for achieving universal health coverage (UHC) in developing countries. This study aimed to estimate the impact of OOPE on catastrophic health expenditure (CHE) and impoverishment effects by types of morbidity in India. METHODS: Data came from the 75th round of the National Sample Survey (NSS) on the theme 'Social consumption in India: Health', which was conducted during the period from July 2017 to June 2018. For the present study, 56,722 households for hospitalisation, 29,580 households for outpatient department (OPD) care and 6285 households for both (OPD care and hospitalisation) were analysed. Indices, namely health care burden, CHE, poverty head count ratio and poverty gap ratio using standard definitions were analysed. RESULTS: Households with members who underwent treatment for cancers, cardiovascular diseases, psychiatric conditions, injuries, musculoskeletal and genitourinary conditions spent a relatively high amount of their income on health care. Overall, 41.4% of the households spent > 10% of the total household consumption expenditure (HCE) and 24.6% of households spent > 20% of HCE for hospitalisation. A total of 20.4% and 10.0% of households faced CHE for hospitalisation based on the average per capita and average two capita consumption expenditure, respectively. Health care burden, CHE and impoverishment was higher in households who sought treatment in private health facilities than in public health facilities. CONCLUSION: Our study suggests that there is an urgent need for political players and policymakers to design health system financing policies and strict implementation that will provide financial risk protection to households in India.

Burden of injuries and its associated hospitalization expenditure in India.

Injuries are a major public health concern, affect the most productive age group i.e. (15-60 years) and increases disability adjusted life years (DALYs) and results in a huge financial burden on the household. Disease burden is represented by DALYs and economic burden represents the out of pocket (OOP) and catastrophic health expenditure (CHE). We examined the burden of injury and its impact on household financial burden among the working population (15-60 years) in India. We used data on National and State Level DALYs for Injuries for 2017 from the published National Disease Burden Estimate (NBE, 2019) Study. The cost of treatment was extracted from 75th round of the National Sample Survey Organization (NSSO, 2017-18). DALYs is the sum of YLLs and YLDs. OOPEs were estimated as a per episode of hospitalization expenses after reimbursement and CHE was defined as out of pocket expenditure exceeding 10% of household consumption expenditure. Accidental injuries particularly road traffic injuries have higher DALY rates among 15-60 years in India (1288 DALYs per 100,000). However, the mean OOPE was found to be higher due to intentional self-harm. Persons suffering from injury in states like Punjab, Haryana, UP, Gujarat, Karnataka and Andhra Pradesh approached private facilities more compared to public facilities. Whereas, people from states like Jammu and Kashmir, Orissa, West Bengal, North East availed public facilities more than private. OOPE was found to be five times more in private facilities than in public. The households who sought treatment in private facilities were faced 3 times more to Catastrophic expenditure than those who took the treatment in public hospital of any injury. The present study indicated high DALYs, OOPE and % CHE for injury in India. Higher proportion of households were pushed to catastrophic expenditure due to high OOPE of injury treatment. Disease and economic burden due to road traffic injury and fall was found to be high as compared to other injuries. Our study strengthens the need for executing effective financial protection approach in India like PM-JAY, to minimize the financial burden incurred due to injuries in India.