Impact of COVID-19 on the Mental Health of Healthcare Workers and Job Loss From a Gender Perspective in India: A Systematic Review and Meta-Analysis.

The COVID-19 pandemic caused significant stress and anxiety among the general population and healthcare workers (HCWs) worldwide. India is one of the countries severely impacted by the pandemic. This review explores the gender perspective of mental health conditions among HCWs and job loss during the pandemic in India. Electronic databases (PubMed, Scopus, and Web of Science) were searched for articles published till March 2021. Studies that reported the prevalence of depression, anxiety, stress, and worry among HCWs in India during the pandemic and job loss in both males and females due to COVID-19 were included. We used a random-effects model to estimate pooled prevalence rates with 95% CIs. We assessed heterogeneity using the I2 statistic. The meta-analysis included 11 studies; the pooled prevalence of depression, anxiety, stress, and worry among HCWs was 34.9% (95%CI 27.33, 42.47), 35.4% (95%CI 24.46, 46.33), 32.9% (95%CI 25.43, 40.37), and 42.87% (95%CI 25.83, 59.91), respectively. The pooled prevalence of job loss due to COVID-19 was 16.6% (95%CI 8.34, 19.66). We employed meta-regression and Egger's regression for publication bias. The meta-analysis findings suggest that the prevalence of depression, anxiety, stress, and worry among HCWs in India during COVID-19 was high. Furthermore, job loss due to COVID-19 has also been prevalent in India. These findings emphasize the need for mental health support for HCWs and those who have lost their jobs during the pandemic. It is essential to prioritize mental health and job creation policies in India to support individuals affected by COVID-19.

Spontaneous miscarriage/abortion in the first trimester and expectant management - a meta-analysis approach.

Introduction: To determine effectiveness and side effects of expectant care in first-trimester miscarriage. An increase in the spontaneous miscarriage rate and its associated complications exerts a burden on the overall health and quality of life of women. Expectant care in a first-trimester miscarriage has shown success ranging 75-80%. This study was designed to search the literature for information on the clinical safety and effectiveness of expectant management on spontaneous miscarriage during the first trimester. Material and methods: The review included studies that included women in expectant care for spontaneous miscarriage in the first trimester. Trial studies were recognized through a methodical and organized database search from PubMed, COCHRANE, MEDLINE, Embase, and bibliography from January 2000 until December 2022. The methodological assessment and risk of bias was assessed using the Joanna Briggs Institute criteria. Results: Eleven studies in systematic review and 7 studies in the meta-analysis were included. The included studies showed a low to moderate risk of bias. The odds of success in expectant intervention were low when compared with surgical intervention (odds ratio - OR: OR: 0.37 [0.28, 0.48]) and medical management (OR: 0.47 [0.36, 0.61]), and the need for surgical evacuation was high (OR: 2.59 [1.88, 3.59]). Conclusions: Future trials should consider women's opinions and the effect on quality of life along with clinical consequences, to provide improved suggestions on the efficiency and adverse effects.

Use of Portable Automated Auditory Brainstem Responses in Universal Neonatal Hearing Screening: A Mixed-Method Study in Odisha, India.

Hearing loss in children affects cognitive development, so early detection is crucial. It is because of the lack of portable technology that the majority of hearing problems go undetected. The authors conducted a mixed-method study in India to examine the concurrent validity and operational feasibility of portable automated brainstem response (P-AABR) and otoacoustic emissions (OAE) in universal neonatal hearing screening. They screened 198 children's ears using ABR and OAE devices. Additionally, 60 observations were recorded during the 'portable automated ABR' screening process. The hearing screening could be performed with P-AABR by any health care staff with basic skill-based training. However, the interpretation of the graphical wave required an audiologist. If the baby was quiet, the test could be performed in 20 min, including electrode implantation, impediment setting, earphone installation, and swipe counts. The P-AABR device can be used in the universal health coverage of hearing screening among infants in outreach areas due to its portability and minimal infrastructural requirements.

Measuring catastrophe in paying for healthcare: A comparative methodological approach by using National Sample Survey, India.

Healthcare expenditure significantly varies among various segments of the population. The appropriate measures of catastrophic health expenditure (CHE) will help to unravel the real burden of spending among households. Present study provides a link between the theoretical insights from Grossman's model and various methodological approaches for the estimation of CHE by using data from the three rounds of nationally representative Consumer Expenditure Surveys, India. Statistical analysis has been carried out by using multivariate logistic regression to identify the major determinants of CHE. Findings indicate that the occurrence of CHE has increased during 1993-2012. Rural residents and households with varying age composition such as with higher numbers of children and elderly were at higher risk. Economic status is significantly associated with CHE and increased demand for healthcare. The measurements differ as per the methodological approaches of CHE and definition of household's capacity to pay. Approach-based variations in the results can be of key importance in determining trends and magnitude in CHE. Despite these variations in measurements, study finds a limited incidence of CHE among the disadvantaged segment of the population though a greater share was devoted to health expenditure in recent years. Better risk pooling mechanism is required to address the healthcare needs of the disadvantaged segment such as elderly, children, poor and rural population in India.

The incubation period of coronavirus disease (COVID-19): A tremendous public health threat-Forecasting from publicly available case data in India.

The World Health Organization (WHO) declared the Coronavirus Disease (COVID-19) a pandemic due to the huge upsurge in the number of reported cases worldwide. The COVID-19 pandemic in India has become a public health threat, and if we go by the number of confirmed cases then the situation seems to be a matter of grave concern. According to real-time data, the numbers of confirmed cases are growing exponentially. No doubt, substantial public health interventions both at the national and state levels are implemented immediately by the Government of India; there is a need for improved preparedness plans and mitigation strategies along with accurate forecasting. The present study aims to forecast the COVID-19 outbreak infected cases in India. The data have been obtained from https://www.covid19india.org, https://www.worldometers.info/coronavirus, and ICMR reported publicly available information about COVID-19 confirmation cases. We have used the double exponential smoothing method for forecasting the trends in terms of confirmed, active, recovered and death cases from COVID-19 for emergency preparedness and future predictions. Findings reveal that the estimated value of point forecast is just 8.22% of the total number of confirmed cases reported on a daily basis across the country. It was observed that the deaths were lower for the states and union territories with a higher detection rate. It is suggested that by keeping in view the limited healthcare resources in the country, accurate forecasting, early detection, and avoidance of acute care for the majority of infected cases is indispensable.

Stakeholders' Perspective for Improved Universal Newborn Hearing Screening Uptake in Odisha, India.

Universal Newborn Hearing Screening (UNHS) is a significant public health initiative as early diagnosis and intervention are critical for children's cognitive development. In India, priority for UNHS has been provided since 2013; however, there are various operational challenges associated with it. There is a lack of multi-stakeholders perspective on UNHS, which is crucial for improving the service intake. Therefore, this study attempted to understand the perspective of various stakeholders to explore the practices, processes and technologies used in the existing UNHS landscape in Odisha, India. The qualitative in-depth interviews were conducted among various stakeholders including 15 mothers, 5 service providers (audiologists), 10 districts and state-level programme managers. Data were analysed using content analysis approaches. Two major themes emerged were 'social-shaping of technology for UNHS' and 'mothers' understanding and experience on UNHS'. Employee retention, equipment limitations, facilities maintenance and little knowledge among mothers about hearing screening have been described as major operational challenges. The study revealed that to increase universal coverage 'screening technology should be socially shaped'. There seems to be a need for 'portable technology with ease to use and better diagnostic accuracy' for first-stage screening at various levels of healthcare facilities along with community literacy on UNHS.

Does affordability matter? Examining the trends and patterns in health care expenditure in India.

BACKGROUND: Absence of better financing mechanism results in higher out of pocket expenditure and catastrophe, which leads to impoverishment and poverty especially among low- and middle-income countries like India. This paper examines the major characteristics associated with the higher out of pocket expenditure and provides an insight from Andersen's behavioural model that how predisposing, enabling and need factors influence the level and pattern of out of pocket expenditure in India. METHODS: Data has been extracted from three rounds of nationally representative consumer expenditure surveys, i.e. 1993-1994, 2004-2005 and 2011-2012 conducted by the Government of India. States were categorized based on regional classification, and adult equivalent scale was used to adjust the household size. Multiple Generalized-Linear-Regression-Model was employed to explore the relative effect of various socio-economic covariates on the level of out of pocket expenditure. RESULTS: The gap has widened between advantaged and disadvantaged segment of the population along with noticeable regional disparities among Indian states. Generalized-Linear-Regression-Model indicates that the most influential predisposing and enabling factor determining the level of out of pocket expenditure were age composition, religion, social-group, household type, residence, economic status, sources of cooking and lighting arrangements among the households. CONCLUSIONS: Present study suggests the need for strengthening the affordability mechanism of the households to cope with the excessive burden of health care payments. Furthermore, special consideration is required to accommodate the needs of the elderly, rural, backward states and impoverishment segment of population to reduce the unjust burden of out of pocket expenditure in India.

Meta-analysis approach on iron fortification and its effect on pregnancy and its outcome through randomized, controlled trials.

Micronutrients' deficiency is a common phenomenon among a majority of the population residing in the low- and middle-income countries (LMICs) especially among women and children. Given the widespread prevalence of micronutrients' deficiency in LMICs, iron-fortified foods could be of potential benefits for both the mother and the development of fetus. Present study aims to provide the evidence on the impact of iron fortification on hemoglobin (Hb) concentration during pregnancy and evaluates the specific maternal and pregnancy outcomes. We conducted systematic review by using search engines such as PubMed, Cochrane Library, Medline, EMbase, and secondary references. Meta-analyses were performed to calculate summary estimates on Hb during pregnancy, low birth weight (LBW), and preterm births. The weighted mean difference (WMD) and relative risk (RR) were calculated using random-effects models. Sources of heterogeneity were explored through meta-regression. Eight studies were included for the final analysis. The overall pooled estimate of Hb showed a significant increase in the fortification group compared with the control group [WMD = 4.45 g/L; 95% confidence interval (CI) = 2.73, 6.17 g/L; I 2 = 83%, τ2 = 6.80, ρ <0.00001]. There has been a notable reduction in iron deficiency anemia (IDA) among pregnant women with substantial heterogeneity. Meta-regression suggests that the duration of feeding was positively associated with the effect size. Present review provides an evidence for the substantial benefits of iron fortification during pregnancy for reducing preterm births and risk of LBW. The safety, efficacy, and effective delivery of iron fortification need further research. Systematic review registration: PROSPERO International prospective register of systematic reviews - CRD42018116931.

Multimorbidity and Its Outcomes Among Patients Attending Psychiatric Care Settings: An Observational Study From Odisha, India.

Background: Multimorbidity, the presence of two or more chronic health conditions is linked to premature mortality among psychiatric patients since the presence of one can further complicate the management of either. Little research has focused on the magnitude and effect of multimorbidity among psychiatric patients in low-and middle-income settings. Our study, provides the first ever data on multimorbidity and its outcomes among patients attending psychiatric clinics in Odisha, India. It further explored whether multimorbidity was associated with higher medical expenditure and the interaction effect of psychiatric illness on this association. Methods: This cross-sectional study included 500 adult patients presenting to the psychiatric clinic of a medical college hospital in Odisha over a period of 6 months (February 2019-July 2019). A validated structured questionnaire, "multimorbidity assessment questionnaire for psychiatric care" (MAQ-PsyC) was used for data collection. We used multinomial logistic model for the effect estimation. Odds ratios (OR) and 95% confidence intervals (CI) for high healthcare utilization and expenditure were calculated by number and pattern of multimorbidity. Data was analyzed by STATA 14. Results: Half (50%) of the psychiatric outpatients had multimorbidity. The relative probabilities of having one additional condition were 5.3 times (RRR = 5.3; 95% CI: 2.3, 11.9) and multiple morbidities were 6.6 times (RRR = 6.6; 95%CI: 3.3, 13.1) higher for patients in 60+ age group. Healthcare utilization i.e., medication use and physician consultation was significantly higher for psychiatric conditions such as mood disorders, schizophrenia, schizotypal and delusional disorders, and for hypertension, cancer, diabetes, among somatic conditions. Out of pocket expenditure (OOPE) was found to be highest for laboratory investigations, followed by medicines and transport expenditure. Within psychiatric conditions, mood disorders incurred highest OOPE ($93.43) while hypertension was the most leading for OOPE in physical morbidities ($93.43). Psychiatric illnesses had a significant interaction effect on the association between multimorbidity and high medical expenditure (P = 0.001). Conclusion: Multimorbidity is highly prevalent in psychiatric patients associated with significantly high healthcare utilization and medical expenditure. Such disproportionate effect of psychiatric multimorbidity on healthcare cost and use insinuates the need for stronger financial protection and tailor-made clinical decision making for these vulnerable patient subgroups.

Mapping of Health Technology Assessment (HTA) teaching and training initiatives: Landscape for evidence-based policy decisions in India.

Demographic transitions accompanied with epidemiological shifts are affecting many countries around the globe. These apprehensions have raised the concern for constructing and sustaining healthcare systems especially among resource-constrained low- and middle-income-countries (LMICs) such as India. Introducing Health-Technology-Assessment (HTA) in the educational initiatives could support planners and policy-makers in formulating evidence-based-decision-making along with tackling inequalities/inefficiencies and promoting cost-effectiveness in resource allocation. A mapping exercise has been undertaken for examining the feasibility and implementation of HTA curriculum in the existing courses in India. To gain best possible insight on HTA curriculum, a situational analysis was conducted using systematic search strategy through search engines such as Google, Google Scholar, ProQuest and PubMed. Currently, seventy-one institutes in India are offering one or more courses through regular mode at undergraduate/postgraduate/diploma-certificate/doctorate-level pertaining to Medical-technology (MT), Biostatistics (BS), and Health-economics (HE). MT was offered in 37 institutes (52.12%), followed by BS in 23 (32.39%), and HE in nine (12.67%). Only two institutes (2.81%) are offering certificate-courses on HTA, mainly confined in virtual modules. This review reveals noticeable gaps in the existing curriculum in India and necessitates a novel academic initiative by introducing HTA in a full-fledged manner. Reforms in the research and educational initiatives need to be brought for promoting awareness regarding HTA. The application of domain needs to be widened from the field of health-policy formulators to research and teaching. This should be further strengthened with the strong academic collaborations to generate replicable findings, address challenges, and offer solutions for existing threats to HTA.

Minimum data set (MDS) based trauma registry, is the data adequate? An evidence-based study from Odisha, India.

BACKGROUND: In majority of the low- and middle-income countries (LMICs), the societal cost of injuries are alarming. The severity and magnitude of the road traffic injuries (RTI) in India are not estimated accurately due to the lack of availability of data. The data are limited on the aspects such as demographics, cause, severity of injury, processes of care, and the final outcome of injuries. This study aimed to determine the feasibility of setting up a sustainable trauma registry in Odisha, India, and to determine the demographics, mechanism, severity, and outcomes of injury reported to the facilities/hospital. MATERIALS AND METHODS: A prospective observational study was conducted at Srirama Chandra Bhanja Medical College and Hospital (SCB-MCH), Cuttack, India. Injured patients who reported/admitted to the emergency department were observed, and data were collected by using a minimum data set (MDS) developed by the World Health Organization (WHO). Data were collected for a period of one month in June 2015. Observations were collected on 20 variables. The completeness of data collection ranged from 60% (19 variables) to 70% (23 variables) out of total 33 variables. RESULTS: This study uses 145 cases of injury reported in SCB-MCH. Out of the total reported population at the trauma registry, about 21% were females. Nearly 45% of the injury occurred on road/street. RTI accounted for 36.6% of injury. Out of the total admitted cases, 2.8% died in the emergency department, 11% were discharged to home, and 7.6% left against medical advice. Majority of the respondents have reported single injuries (77%). Head injuries were more common and severe among majority of the reported cases (44.1%), followed by neck injury (28.3%) and chest (15.9%). CONCLUSIONS: This study indicates the challenges in obtaining complete data on injury. Data were missing in terms of admission, discharge, and Glasgow Comma Scale (GCS) among the studied population. This study suggests that individual GCS scoring should be done instead of total GCS scoring in each trauma patient. By collection and storage of adequate data, better policy decisions can be implemented, which will minimize and prevent trauma cases and maximize the utilization of the available resources.

Does spending matters? Re-looking into various covariates associated with Out of Pocket Expenditure (OOPE) and catastrophic spending on accidental injury from NSSO 71st round data.

BACKGROUND: Accidental Injury is a traumatic event which not only influences physical, psychological, and social wellbeing of the households but also exerts extensive financial burden on them. Despite the devastating economic burden of injuries, in India, there is limited data available on injury epidemiology. This paper aims to, first, examine the socio-economic differentials in Out of Pocket Expenditure (OOPE) on accidental injury; second, to look into the level of Catastrophic Health Expenditure (CHE) at different threshold levels; and last, to explore the adjusted effect of various socio-economic covariates on the level of CHE. METHODS: Data was extracted from the key indicators of social consumption in India: Health, National Sample Survey Organisation (NSSO), conducted by the Government of India during January-June-2014. Logistic regression analysis was employed to analyse the various covariates of OOPE and CHE associated to accidental injury. FINDINGS: Binary Logistic analysis has demonstrated a significant association between socioeconomic status of the households and the level of OOPE and CHE on accidental injury care. People who used private health services incurred 16 times higher odds of CHE than those who availed public facilities. The result shows that if the person is covered via any type of insurance, the odd of CHE was lower by about 28% than the uninsured. Longer duration of stay and death due to accidental injury was positively associated with higher level of OOPE. Economic status, nature of healthcare facility availed and regional affiliation significantly influence the level of OOPE and CHE. CONCLUSION: Despite numerous efforts by the Central and State governments to reduce the financial burden of healthcare, large number of households are still paying a significant amount from their own pockets. There are huge differentials in cost for the treatment among public and private healthcare providers for accidental injury. It is expected that the findings would provide insights into the prevailing magnitude of accidental injuries in India, the profile of the population affected, and the level of OOPE among households.

Do we provide affordable, accessible and administrable health care? An assessment of SES differential in out of pocket expenditure on delivery care in India.

BACKGROUND: Reproductive and Child Health (RCH) financing is a key area of focus which can lead towards an overall empowerment of women through financial inclusion. The major objectives of this paper are: first; to examine the socio-economic differentials in Out of Pocket Expenditure (OOPE) on delivery care, second; to look into the role of insurance coverage, third; to analyse various sources of financing, and fourth; to measure the adjusted effect of various covariates on the level of OOPE. METHODS: Data were extracted from the National Sample Survey Organisations (NSSO), 71st round "Key indicators of social consumption in India, Health" conducted by the GoI during January to June 2014. Multivariate Generalised Linear Regression Model (GLRM) has been used to analyse the various covariates of OOPE on maternity care. FINDINGS: Multivariate analysis has demonstrated a significant association between socioeconomic status of women and the level of OOPE on delivery care. Level of education, urban residence, higher caste and social group affiliation, strong economic conditions, and use of private facilities for the child birth among the mothers were a significant predictor of the expenditure on maternity care. CONCLUSION: Despite various efforts by the central and state governments to reduce financial burden, still a large number of households are paying a significant amount from their own pockets. There is an immediate need to re-look in the aspects of insurance coverage and high level of OOPE in delivery care.

Does equity in healthcare spending exist among Indian states? Explaining regional variations from national sample survey data.

BACKGROUND: Equity and justice in healthcare payment form an integral part of health policy and planning. In the majority of low and middle-income countries (LMICs), healthcare inequalities are further aggravated by Out of Pocket Expenditure (OOPE). This paper examines the pattern of health equity and regional disparities in healthcare spending among Indian states by applying Andersen's behavioural model of healthcare utilization. METHODS: The present study uses data from the 66th quinquennial round of Consumer Expenditure Survey, of the National Sample Survey Organization (NSSO), conducted in 2009-10 by Ministry of Statistics and Programme Implementation (MoSPI), Government of India (GoI). To measure equity and regional disparities in healthcare expenditure, states have been categorized under three heads on the basis of monthly OOPE i.e., Category A (OOPE > =INR 100); Category B (OOPE between INR 50 to 99) and Category C (OOPE < INR 50). Multiple Generalised Linear Regression Model (GLRM) has been employed to explore the effect of various socio-economic covariates on the level of OOPE. RESULTS: The gap in the ratio of average healthcare spending between the poorest and richest households was maximum in Category A states (richest/poorest = 14.60), followed by Category B (richest/poorest 11.70) and Category C (richest/poorest 11.40). Results also indicate geographical concentration of lower level healthcare spending among Indian states (e.g., Odisha, Chhattisgarh and all the north-eastern states). Results from the multivariate analysis suggest that people residing in urban areas, having higher economic status, belonging to non-Muslim communities, non-Scheduled Tribes (STs), and non-poor households spend more on healthcare than their counterparts. CONCLUSIONS: In spite of various efforts by the government to reduce the burden of healthcare spending, widespread inequalities in healthcare expenditure are prevalent. Households with high healthcare needs (SCs/STs, and the poor) are in a more disadvantaged position in terms of spending on health care. It has also been observed that spending on healthcare was comparatively lower among backward or isolated states. No doubt, the overall social security measures should be enhanced, but at the same time, looking at the regional differences, more priority should be assigned to the disadvantaged states to reduce the burden of OOPE. It is proposed that there is need to increase government spending, especially for the disadvantaged states and population, to minimise the burden of OOPE.

Factors associated with the life satisfaction amongst the rural elderly in Odisha, India.

BACKGROUND: Life Satisfaction (LS) is an indicator of subjective well-being (SWB) among the elderly, and is directly associated with health and mortality. Present study deals with the factors associated with the LS among the rural elderly in Odisha, India. METHODS: A cross-sectional survey using multi-stage random sampling procedure was conducted among elderly (60+ years) in Bargarh district of Odisha. The survey was conducted among 310 respondents. Hierarchical regression analysis was used to assess the adjusted effect of various socio-economic, demographic, health conditions (physical and mental), social support and effects of multi-morbidity on LS. RESULTS: Cognitive health was the most influential factor in determining LS among both men (ß = 0.327) and women (ß = 0.329). Individual's social support also plays an influential role in LS among rural elderly. Elderly who are living alone and have any sort of disability and had low score of activities of daily living (ADL) have also reported significantly lower perceived LS for both the genders. CONCLUSION: It is necessary to analyze and identify the major factors which can improve upon the level of LS among the elderly population. Better understanding of these factors can help in removing the superfluous anxiety of old age in the mindset of people which is pervading in the society.