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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. The present study examines the socioeconomic and state-wise differences in the prevalence of disabilities and related household financial burden in India. 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. 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. 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.

Background & objectives: The National AIDS Control Organisation (NACO) and the ICMR-National Institute of Medical Statistics, the nodal agency for conducting HIV estimations in India, have been generating HIV estimates regularly since 2003. The objective of this study was to describe India's biennial HIV estimation 2017 process, data inputs, tool, methodology and epidemiological assumptions used to generate the HIV estimates and trends of key indicators for 2010-2017 at national and State/Union Territory levels. Methods: Demographic Projection (DemProj) and AIDS Impact Modules (AIM) of Spectrum 5.63 software recommended by the United Nations Programme on HIV and AIDS Global Reference Group on HIV Estimates, Modelling and Projections, were used for generating HIV estimations on key indicators. HIV sentinel surveillance, epidemiological and programme data were entered into Estimation Projection Package (EPP), and curve fitting was done using EPP classic model. Finally, calibration was done using the State HIV prevalence of two rounds of National Family Health Survey (NFHS) -3 and -4 and Integrated Biological and Behavioural Surveillance (IBBS), 2014-2015. Results: The national adult prevalence of HIV was estimated to be 0.22 per cent in 2017. Mizoram, Manipur and Nagaland had the highest prevalence over one per cent. An estimated 2.1 million people were living with HIV in 2017, with Maharashtra estimated to have the highest number. Of the 88 thousand annual new HIV infections estimated nationally in 2017, Telangana accounted for the largest share. HIV incidence was found to be higher among key population groups, especially people who inject drugs. The annual AIDS-related deaths were estimated to be 69 thousand nationally. For all indicators, geographic variation in levels and trends between States existed. Interpretation & conclusions: With a slow decline in annual new HIV infections by only 27 per cent from 2010 to 2017 against the national target of 75 per cent by 2020, the national target to end AIDS by 2030 may be missed; although at the sub-national level some States have made better progress to reduce new HIV infection. It calls for reinforcement of HIV prevention, diagnosis and treatment efforts by geographical regions and population groups.

Good quality health, nutrition and demographic survey data are vital for evidence-based decision-making. Existing literature indicates system specific, data collection and reporting gaps that affect quality of health, nutrition and demographic survey data, thereby affecting its usability and relevance. To mitigate these, the National Data Quality Forum (NDQF), under the Indian Council of Medical Research (ICMR) - National Institute of Medical Statistics (NIMS) developed the National Guidelines for Data Quality in Surveys delineating assurance mechanisms to generate standard quality data in surveys. The present article highlights the principles from the guidelines for informing survey researchers/organizations in generating good quality survey data. It describes the process of development of the national guidelines, principles for each of the survey phases listed in the document and applicability of them to data user for ensuring data quality. The guidelines may be useful to a broad-spectrum of audience such as data producers from government and non-government organizations, policy makers, research institutions, as well as individual researchers, thereby playing a vital role in improving quality of health, nutrition and demographic data ecosystem.

Summary Background: High HIV prevalence among injecting drug users (IDUs) remains a cause of concern and are considered key drivers of concentrated epidemic in India. The present paper aims to assess the effectiveness of the targeted intervention (TI) program on the risk behaviors among IDUs across regions of India. Materials and Methods: This paper used the data from the integrated biological and behavioral surveillance 2014-2015 among the IDUs in India. Descriptive statistics and propensity score matching analysis was carried out to understand the effectiveness of the TI program on the new needle/syringe used and needle/syringe shared in the last injecting episode by accounting for the covariates. Results: The matched samples estimate, i.e., average treatment effect on treated of new needles/syringe used and shared in the last injecting episode by those who received needles/syringes from peer educator or outreach workers (PE/ORWs) and those who did not receive was 2.8% (confidence interval [CI]: 0.05-5.6) increase in the use of new needles/syringes and 6.5% (CI: −9.7-−3.3) decrease in the needles/syringes shared in last injecting episode indicating that IDUs who received new needles/syringes from PE/ORWs are more likely to use new needle/syringe and less likely to share needle/syringes to those who did not receive needles/syringes. The results vary across the different regions of India. Conclusion: TI program proves to be an effective initiative in the behavior change among IDUs as substantiated by use of new needles/syringes and decreased sharing of needles/syringes. TI program coverage varies from region to region and may further be expanded to accelerate the program services to prevent HIV/AIDS.

The Clinical Trials Registry - India (CTRI), launched over 10 years ago, is a free, searchable online platform for registration of clinical trials being conducted in India and as well as countries which do not have a Primary Registry of their own. The objective of the present article is to appraise the current status and the new developments of CTRI, which registers all types of clinical studies, including postgraduate theses. The CTRI which was until now allowing both prospective and retrospective registration is moving towards only prospective trial registration. From April 1, 2018, only those trials where the first patient enrollment has not yet commenced will be registered. Further, the CTRI is in the process of implementing structured summary results disclosure of all interventional clinical trials in the near future.

Background & objectives: Contrary to overall declining trend in smokeless tobacco (SLT) use in India, an increase is observed in north-east (NE) India. This study examined the predictors of daily SLT use by gender and assessed the demographic and socio-economic characteristics that contribute to gender differences in SLT use in NE India. Methods: Data collected from 15,259 and 13,574 adults in the two rounds of Global Tobacco Adult Survey 1 and 2 for NE India during 2009-2010 and 2016-2017 were analyzed. Relative change, multivariable binary logistic regression and Blinder-Oaxaca decomposition analysis were used for analysis. Results: The findings suggest that among women in NE India, the daily SLT use significantly increased by 58 per cent between 2009-2010 to 2016-2017. Women residing in Nagaland, Manipur, Mizoram and Tripura were 3.5 and 2.5 times, respectively more likely to be daily SLT users compared to those in Assam. While age, education and wealth were the significant predictors of SLT use in both women and men, increased odds of SLT use were observed with women's type of occupation and the State of residence. The majority of the gender differences in daily SLT use was explained by differences in work status (44%), age (26%), education (14%) and wealth status (9%) between men and women. Interpretation & conclusions: Increasing prevalence of SLT use amongst women in the NE States necessitates integration of gender-specific messages on harmful effects of SLT in the ongoing tobacco control programmes and development of culturally appropriate community-based interventions for cessation of SLT use.

This study examines the association between quality Postnatal Care (PNC) considering timing and providers' type on neonatal mortality. The aim extends to account for regional disparities in service delivery and mortality including high and non-high focus states. Ever-married women aged 15-49 years (1,87,702) who had delivered at least one child in five years preceding the survey date surveyed in National Family Health Survey (2015-16) were included in the study. Neonatal deaths between day two and seven and neonatal deaths between day two and twenty-eight were considered dependent variables. Descriptive statistics and multivariate regression analysis were conducted. Chances of early neonatal mortality were 29% (OR = 0.71; 95%CI: 0.59-0.84) among newborns receiving PNC within a day compared to ones devoid of it while 40% (OR: 0.60; 95%CI: 0.51-0.71) likelihood for the same was noted if PNC was delivered within a week. Likelihood of neonatal mortality decreased by 24% (OR: 0.76; 95%CI: 0.65-0.88) when skilled PNC was delivered within 24 hours. Receiving quality PNC by skilled providers within a day in a non-high focus state decreased the chances of neonatal mortality by 26% (OR: 0.74; 95%CI: 0.59-0.92) compared to ones who did not receive any PNC. Neonatal deaths were significantly associated with socioeconomic and contextual characteristics including age, education, household wealth, social group and region. Timing of PNC delivered and by a skilled healthcare provider was found significant in reducing neonatal mortality.

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.

Background: Infectious diseases are important causes of morbidity and mortality globally. At least 25% of about 60 million deaths that occur worldwide each year are estimated to be due to infectious diseases. In India, the burden of infectious diseases is enormous; although it has decreased as a result of overall socioeconomic progress and use of vaccines and antimicrobials, it is still a major health-care burden. Studying a disease trend over a certain time period is important in a country's public health system as it guides agencies to prioritize funds and other measures for its control. Objectives: The present study tries to understand its transition in an urban population of India. Materials and Methods: \"Medical Certification of Cause of Death\" data for the period from 1989 to 2015 have been used. Deaths under the head \"age not stated\" have been distributed in all age groups in proportion to total deaths at those age groups for all the years, and the percentage of the cause of death to total deaths has been calculated. Three years' moving average of these percentages have been calculated. Results: The overall age group analysis showed a downward trend in both males and females. However, age-segregated analysis showed that mortality is declining among children and youth population, specifically showing a steep decline among infants and under-five population. Conclusion: Infectious diseases are still a major public health problem in India.

Abundant research studies has recorded availability, accessibility and quality of antenatal care and safe delivery in India but comparatively less information is known for postnatal care and furthermore limited attempts at capturing the whole spectrum of obstetric and newborn health services. Assessing discontinuity in maternal and child health service utilization provides us holistic information about existing health inequities and barriers in service provision. Current study evaluated the coverage of quality antenatal care (QANC), delivery care (QDC) and postnatal care (QPNC) in India as a part of a single continuum accounting for significant regional and sub-regional disparities. This study analyzed nationally representative data obtained from NFHS-4 (2015-16). Included in the data, were 190 898 Indian women who had a recent birth in last five years. Coverage of QANC, QDC and QPNC was examined at the national, state and district level. Bivariate association of key sociodemographic variables with coverage of services was assessed during chi-squared analysis. Multilevel logistic regression analysis examined correlates associated with coverage of services. The output was presented using odds ratios (OR) with 95% CI. About 23.5% women utilized QANC out of which 92.9% opted for QDC and 35.1% of newborns received QPNC. About 400 and 471 districts out of 640 had less than 30% coverage of QANC and QPNC, respectively. Women residing in rural regions of Bihar and Northeastern states were found with less than 10% coverage of QANC. Regression analysis shows that women with more than 12 years of education and belonging to richest households had increased odds of availing QANC (OR 1.95; 95%CI: 1.84-2.06) and QDC (OR: 2.86; 95%CI: 2.27-3.60), respectively. Focused interventions targeting the delivery of quality services especially ANC and PNC among newborns are imperative to achieve SDG-3 goals to achieve improvement in maternal and newborn health.