Assessment of effectiveness of targeted intervention program under national AIDS control program among injecting drug users across India.

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.

Predictors of smokeless tobacco use among the adult population of north-east India during 2009-2017: A decomposition analysis.

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.

National guidelines for data quality in surveys: An overview.

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.

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.

Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India.

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.

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.

Coverage of Quality Maternal and Newborn Healthcare Services in India: Examining Dropouts, Disparity and Determinants.

Background: 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. Objective: 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. Methods: 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. Findings: 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. Conclusion: 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.

Maternal nutritional status & practices & perinatal, neonatal mortality in rural Andhra Pradesh, India.

BACKGROUND & OBJECTIVE: Despite a vast network of primary health centres and sub-centres, health care outreach in rural parts of India is poor. The Dangoria Charitable Trust (DCT), Hyderabad, has developed a model of health care outreach through trained Village Health and Nutrition Entrepreneur and Mobilisers (HNEMs) in five villages of Medak district in Andhra Pradesh, not serviced by the Integrated Child Development Scheme (ICDS) of the Government of India. Impact of such a link worker on perinatal/ neonatal mortality has been positive. The present study attempts to examine the association of maternal nutrition and related factors with perinatal, and neonatal mortality in these villages. METHODS: Women from five selected villages who had delivered between June 1998 and September 2003, were identified. Those who had lost a child before one month (28 days), including stillbirths, (group 1- mortality group), who could be contacted and were willing to participate, were compared with those who had not lost a child (group II- no mortality), through a structured questionnaire and physical examination for anthropometric status and signs and symptoms of nutritional deficiency. Categorical data were analysed using Pearson chi square analysis. Continuous data were analysed using Student's t test. RESULTS: Mortality during perinatal, neonatal period was 8.2 per cent of all births. Malnutrition was rampant. Over 90 per cent women had 3 or more antenatal check-ups, had taken tetanus injections and had complied with regular consumption of iron-folic acid tablets. Higher percentage of women in group I (mortality group) tended to have height less than 145 cm (high risk) and signs and symptoms of micronutrient deficiencies. However, differences between groups I and II were not statistically significant. Pre-term delivery, difficult labour (use of forceps), first parity, birth asphyxia (no cry at birth) and day of initiating breastfeeding showed significant association with mortality. INTERPRETATION & CONCLUSION: Significant association between signs and symptoms of malnutrition with perinatal, neonatal deaths may have been masked by high prevalence of malnutrition in the mothers of both the groups and the small study sample size. However, maternal malnutrition, may contribute indirectly through its effects on other pregnancy-related as well as delivery-related complications leading to adverse outcome of pregnancy. The HNEM experience of DCT suggests that a properly trained and supported village level worker can contribute to reduction in perinatal and neonatal mortality.

Clinical Trials Registry - India: An overview and new developments.

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.