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.

Evaluation of methods for assigning causes of death from verbal autopsies in India.

Background: Physician-coded verbal autopsy (PCVA) is the most widely used method to determine causes of death (COD) in countries where medical certification of death is low. Computer-coded verbal autopsy (CCVA), an alternative method to PCVA for assigning the COD is considered to be efficient and cost-effective. However, the performance of CCVA as compared to PCVA is yet to be established in the Indian context. Methods: We evaluated the performance of PCVA and three CCVA methods i.e., InterVA 5, InSilico, and Tariff 2.0 on verbal autopsies done using the WHO 2016 VA tool on 2,120 reference standard cases developed from five tertiary care hospitals of Delhi. PCVA methodology involved dual independent review with adjudication, where required. Metrics to assess performance were Cause Specific Mortality Fraction (CSMF), sensitivity, positive predictive value (PPV), CSMF Accuracy, and Kappa statistic. Results: In terms of the measures of the overall performance of COD assignment methods, for CSMF Accuracy, the PCVA method achieved the highest score of 0.79, followed by 0.67 for Tariff_2.0, 0.66 for Inter-VA and 0.62 for InSilicoVA. The PCVA method also achieved the highest agreement (57%) and Kappa scores (0.54). The PCVA method showed the highest sensitivity for 15 out of 20 causes of death. Conclusion: Our study found that the PCVA method had the best performance out of all the four COD assignment methods that were tested in our study sample. In order to improve the performance of CCVA methods, multicentric studies with larger sample sizes need to be conducted using the WHO VA tool.

Dealing with infodemic during COVID-19 pandemic: Role of effective health communication in facilitating outbreak response & actions - An ICMR experience.

Objectives: To highlight and assess the impact of intervention tools used by Indian Council of Medical Research (ICMR) against COVID19 associated infodemic in the world's largest democratic country, India. Study design: It is a retrospective cross sectional study. The impact of ICMR's multi-pronged strategy to address the infodemic during pandemic has been assessed through analysis of print media reportage and social media engagements. Methods: The impact of the interventions was assessed using cloud media mappers like MediaCloud and Meltwater using keywords. The data was analysed in terms of reportage, theme of reportage. A sub-section of media reportage (Feb 2020-June 2020) was analysed in details from 4 major dailies to understand the coverage and tonality of media reports. The data on COVID 19 related tweets, posts and uploads were taken from social media platforms of Indian Council of Medical Research (ICMR) particularly twitter, instagram, facebook and youtube and estimate of pre and post pandemic changes in followers or users were collected for analysis. The data was curated and analysed using MS excel. Results: There was a surge of 3800% reportage in media during pandemic as compared to same time frame in pre-pandemic times. A surge of followers on twitter from 26,823 on Feb 2020 (before pandemic) to 3,36,098 at March 2022 (after pandemic) was observed. A drastic increase in monthly followers was observed after start of Pandemic (after Feb 2020) in comparison to before pandemic (Before Feb 2020). Similar trends were observed on other social media platforms of ICMR. Conclusions: The Communications Unit at ICMR geared up with more robust plans and designed several interventions to mitigate the infodemic which helped in evidence based decision making towards outbreak response and action. This highlights the importance of evidence based, crisp, timely and effective communication during the epidemics/pandemics to buid trust and confidence in the community.

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.

Smokeless Tobacco Use and Cessation Attempts during COVID-19 Lockdown: A Qualitative Study.

BACKGROUND: Smokeless tobacco (SLT) use among women is widely prevalent in Manipur state accounting for 45% users as per Global Adult Tobacco Survey (GATS)-2 India. Studies from India and elsewhere indicate changes in the way people used SLT during COVID-19 lockdown. This study explores individual and economic influences on SLT consumption and cessation attempts by tribal women in Manipur during the first COVID-19 lockdown (March-June, 2020) in India. METHODS: Twenty in-depth interviews, both in-person and telephonically, were conducted among tribal women from Imphal west, Manipur, India, who used any SLT, from April to September 2020. Objective of the study was to understand the use, factors associated with consumption, purchasing behaviors, and cessation attempts of SLT during the lockdown. Thematic content analysis was used to identify core themes and codes. RESULTS: Study participants reported of changes in current SLT use during restrictions imposed to contain COVID-19 pandemic in India. Majority reported of reduction or quit attempts in SLT use. Reasons included inaccessibility due to travel restrictions, limited availability and price rise of SLT products, fear of COVID-19, and disposable income for purchase of SLT products. However, a few women reported of increased consumption due to bulk purchasing, or switching to other SLT products as a result of unavailability or price rise of preferred products or to cope up with social isolation caused by the lockdown. CONCLUSION: Study findings on factors influencing quit attempts and strategies used for reducing SLT use by tribal women in Imphal, Manipur provide valuable insights for development of appropriate intervention for prevention of SLT use among women.

Challenges in Accessing and Delivering Maternal and Child Health Services during the COVID-19 Pandemic: A Cross-Sectional Rapid Survey from Six States of India.

BACKGROUND/OBJECTIVES: Globally, the COVID-19 pandemic and its prevention and control policies have impacted maternal and child health (MCH) services. This study documents the challenges faced by patients in accessing MCH services, and the experiences of health care providers in delivering those services during the COVID-19 outbreak, explicitly focusing on the lockdown period in India. METHODS: A cross-sectional study (rapid survey) was conducted in 18 districts from 6 states of India during March to June, 2020. The sample size included 540 MCH patients, 18 gynaecologists, 18 paediatricians, 18 district immunisation officers and 108 frontline health workers. Bivariate analysis and multivariable analysis were used to assess the association between sociodemographic characteristics, and challenges faced by the patients. RESULTS: More than one-third of patients (n = 212; 39%) reported that accessing MCH services was a challenge during the lockdown period, with major challenges being transportation-related difficulties (n = 99; 46%) unavailability of hospital-based services (n = 54; 23%) and interrupted outreach health services (n = 39; 18.4%). The supply-side challenges mainly included lack of infrastructural preparedness for outbreak situations, and a shortage of human resources. CONCLUSIONS/RECOMMENDATIONS: A holistic approach is required that focuses on both preparedness and response to the outbreak, as well reassignment and reinforcement of health care professionals to continue catering to and maintaining essential MCH services during the pandemic.

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.

Association between timing and type of postnatal care provided with neonatal mortality: A large scale study from India.

OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Analysis of a Targeted Intervention Programme on the Risk Behaviours of Injecting Drug Users in India: Evidence From the National Integrated Biological and Behavioural Surveillance Survey.

OBJECTIVES: This study provides insights on the impact of a targeted intervention (TI) programme on behaviour change among injecting drug users (IDUs) in India. METHODS: This paper examined the data from the Integrated Biological and Behavioural Surveillance 2014-2015 for IDUs in India. Logistic regression was performed to understand the factors (TI programme services) that affected injecting risk behaviours by adjusting for covariates. Propensity score matching was conducted to understand the impact of the TI programme on using new needles/syringes and sharing needles/syringes in the most recent injecting episode by accounting for the covariates that predicted receiving the intervention. RESULTS: Participants who received new needles and syringes from peer educators or outreach workers were 1.3 times (adjusted odds ratio, 1.29; 95% confidence interval [CI], 1.09 to 1.53) more likely to use new needles/syringes during most recent injecting episode than participants who did not receive needles/syringes. The matched-samples estimate (i.e., average treatment effect on treated) of using new needles in the most recent injecting episode showed a 2.8% (95% CI, 0.0 to 5.6) increase in the use of new needles and a 6.5% (95% CI, -9.7 to -3.3) decrease in needle sharing in the most recent injecting episode in participants who received new needles/syringes. There was a 2.2% (95% CI, -3.8 to -0.6) decrease in needle sharing in the most recent injecting episode among participants who were referred to other services (integrated counselling and testing centre, detox centres, etc.). CONCLUSIONS: The TI programme proved to be effective for behaviour change among IDUs, as substantiated by the use of new needles/syringes and sharing of needles/syringes.

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.

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.

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.

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.

Socioeconomic Impact of Hospitalization Expenditure for Treatment of Noncommunicable Diseases in India: A Repeated Cross-Sectional Analysis of National Sample Survey Data, 2004 to 2018.

OBJECTIVES: This article explores the consequences of hospitalization expenditure on noncommunicable diseases (NCD) and its impact on out-of-pocket expenditure (OOPE), catastrophic health expenditure, impoverishment, and hardship financing of households in India. METHODS: Data on hospitalized cases of NCDs from the 3 rounds of National Sample Surveys (NSS) (2004, 2014, 2018) were used. Bivariate and multivariate analyses were conducted to investigate the socioeconomic differentials of the impact of OOPE on catastrophic health expenditure, impoverishment, and exposure to hardship financing. RESULTS: Rural households had greater exposure to catastrophic health expenditure but urban households had higher risk of impoverishment due to OOPE. Older patients (aged ≥60 years) had the highest hospitalization rate per 100 000, including increase in average healthcare expenditure from 2004 to 2018. At 10% and 30% thresholds, 50% and 25% of the households, respectively, faced catastrophic health expenditure across all the 3 rounds. Due to OOPE on hospitaliation treatment for NCDs, about 3.8%, 7.4% and 4.8% of households fell below poverty line, and percentage shortfall in income for the population from the poverty line was 3%, 4.9% and 3%, in 2004, 2014 and 2018 respectively. Percentage of households facing hardship financing reduced from 49.2% in 2004 to 24.4% 2014 and 12.7% in 2018. CONCLUSION: OOPE by households are still very high and hence the higher effects of CHE, impoverishment and exposure to hardship financing due to health expenditure in India. This study proposes that along with increase in budgetary allocations for healthcare, the government should develop suitable policies to expand the effectiveness of government-sponsored health insurance, such as developing a specific NCD service package to be included in the health insurance program.

Measuring Gender-Based Household Maltreatment in Urban Slums of Mumbai, India.

Emerging research has documented non-violent forms of abuse against wives in India. Gender-based household maltreatment (GBHM) has been linked to poor maternal and child health outcomes, but the measurement of GBHM requires statistical validation. The objective of this study is to evaluate a new measure of GBHM of women by husbands and in-laws during the perinatal period for validity and internal reliability (before, during, and post pregnancy). This study utilized cross-sectional quantitative data collected from women (n = 1,049) seeking immunizations for their infants <6 months of age at large urban health centers in three major slum communities in Mumbai, India. After domain mapping and item consolidation, exploratory factor analysis identified a single factor among final scale items for each perinatal time period, with Velicer's Minimum Average Partial (meeting criterion at <0.065) confirming a single factor. Overall, the measure shows good internal reliability and both face and construct validity. On these merits, the measure should be assessed for utility in determining whether the more commonly reported non-violent forms of abuse act as a risk factor for poor maternal and child health outcomes.

Community Perspectives on Men's Role in the Utilisation of Maternal Health Services Among Saharia Tribes in Gwalior, Madhya Pradesh, India: Insights from a Qualitative Study.

BACKGROUND: Utilization of maternal health care services by tribal population could be detrimental in reducing high maternal mortality in Madhya Pradesh, India. A growing body of evidence indicates the positive association between male involvement and increased use of antenatal care services. Further research is required to understand barriers and possible solutions to develop culturally appropriate interventions to engage men to promote the utilization of maternal health care services. METHODS: The study used qualitative data collected through 8 focus group discussions with men and women and 8 key informant interviews with either a community representative or health worker in two blocks dominated by Saharia tribes in Gwalior district, Madhya Pradesh, India in 2018. Information on the perception of utilization of maternal and child health services, male involvement, challenges and opportunities were elicited using a structured guide. Framework analysis was used to analyse the data. RESULTS: Findings document barriers at the individual (poor knowledge, fear of loss of wage, choice of home as a place of delivery), community (practices that reinforced the prevailing gender norms) and health care facility level (quality and attitude of health care providers) to male engagement in utilization of maternal health services. Community perceptions on possible solutions to address these were more likely to be gender exploitative interventions. CONCLUSION: To promote utilization of maternal health care services among Saharia tribes, this study highlights the importance of developing gender sensitive interventions that addresses the individual, community and health care facility level barriers of male involvement and do not reinforce existing gender norms.

Design and development of portable handheld multimodal spectroscopic probe system for skin tissue analysis.

The potential of optical spectroscopic techniques such as diffused reflectance and fluorescence as non-invasive, in vivo diagnostic tools is being explored and validated recently. In this paper, we present the design and development of a handheld, portable, multimodal fiber optic based probe scheme to sequentially measure diffuse reflectance and fluorescence. The proposed prototype is designed to sequentially acquire diffused reflectance in the broad wavelength range of 400 nm-1600 nm and fluorescence using custom-chosen spectrophotometers, monochromatic and broadband light sources, fibers to accommodate a wide wavelength range, custom-built probe distal end, and a real-time spectral stitching and display unit. The prototype is characterized using in-house fabricated phantom tissue samples with tunable optical properties such as scattering and absorption. The depth profile study is carried out using phantom tissue layers of known optical parameters followed by the sequential measurement of diffused reflectance and fluorescence from the tissue mimicking sample.

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.

Comparative neuroprotective effects of native curcumin and its galactomannoside formulation in carbofuran-induced neurotoxicity model.

Toxicity of the pesticide carbofuran (CF) can be alleviated by curcumin, if not for its poor bioavailability. Hence, we investigated the effect of a bioavailable curcumin-galactomannan complex (CGM) on CF-induced neurotoxicity in rats in comparison to that of unformulated standard curcumin (CS). The CF (5 mg/kg b.wt/day) treatment for 90 days produced chronicity model which were treated with either CS or CGM (100 mg/kg b.wt and 250 mg/kg b.wt/day) for another 30 days. Improvement in CF-induced behaviour was evident in endurance, motor co-ordination and pain response on both CS (p < 0.01) and CGM (p < 0.001) supplementation. Amelioration of CF-induced toxicity parameters, oxidative stress, and mitochondrial dysfunction on CS (p < 0.01) and CGM (p < 0.001) supplementation was further confirmed by histopathology of brain and liver tissues. But, CGM was more effective in mitigating CF toxicity, with results comparable to that of normal. Hence, CGM might be superior in toxicity management against CF.

Masculine Gender Ideologies, Intimate Partner Violence, and Alcohol Use Increase Risk for Genital Tract Infections Among Men.

Masculine gender ideologies are thought to underlie alcohol use, intimate partner violence (IPV) perpetration, and sexual risk of HIV and other sexually transmitted infections (STIs). We extend on studies in the Indian context by examining the roles of masculine gender ideologies, alcohol use, and IPV on three outcomes of HIV risk (condom use, genital tract infection [GTI] symptoms, and GTI diagnosis). We applied logistic regression models to cross-sectional data of men and their wives in rural Maharashtra, India (n = 1,080 couples). We found that men with less masculine gender ideologies demonstrated greater odds of condom use (i.e., lower odds no condom use, odds ratio [OR] = 0.96, 95% confidence interval [CI] = [0.93, 0.98]). IPV perpetration was associated with increased odds of reporting ≥1 GTI symptom (adjusted OR [AOR] = 1.56, 95% CI = [1.07, 2.26]) and decreased GTI diagnosis (AOR = 0.28, 95% CI = [0.08, 0.97]). Moderate alcohol consumption was associated with increased odds of reporting ≥1 GTI symptom (AOR = 1.51, 95% CI = [1.01, 2.25]). Our findings have direct implications for men's and women's health in rural India, including targeted GTI diagnosis and treatment, integrated violence prevention in STI clinics, and targeted intervention on masculine gender ideologies.