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We measured COVID-19-related stigma and discrimination and its drivers using a concurrent mixed-methods design in Punjab. The simple random sampling was used to select blocks, subcenters, and urban primary healthcenters from each of the four selected districts. The systematic random sampling was used to select households. A sample of 423 adults was interviewed using a structured questionnaire and 10 in-depth interviews were conducted using an interview guide. Binary logistic regression was performed to find the predictors. Stigma prevalence was mild 18%, moderate 45%, and severe 37%. Logistic regression indicated that stigma was lower in the rural compared to the urban population (P < 0.01). Hospitalized patients faced discrimination more often compared to those who were treated/quarantined at home. People feared police (71%), testing (69%), and contracting the infection (65%). Fear of screening, disclosure of status, and transmission of the virus were the drivers of stigma and discrimination. Co-occurrence of labeling, stereotyping, and cognitive separation was observed.

This paper uses care pathway and delay models to better understand the possible social reasons for maternal deaths in a city with good public and private health infrastructure. The findings can inform programmes to reduce maternal mortality. During 2007-15, 136 maternal deaths were reported in Chandigarh, India. Using World Health Organisation's verbal autopsy questionnaire, interviews were conducted with primary caregivers of 68 (50%) of the 136 deceased women, as majority of the families had returned to their native places. We used process-tracing techniques to construct the care pathways and identify delays, and explored open-ended responses using thematic analysis. The mean age of the deceased women was 27 years, 51% resided in slums, 32% were primigravida, 25% had their deliveries assisted by traditional birth attendants, and 23% had Caesarean section. Eight percent died at home, and 54% died in tertiary level facilities. Post-partum haemorrhage (26.5%), and complications of puerperium (25%) and labour/delivery (14.7%) were the reported medical causes. Male child preference and norms for home delivery were identified as the distal socio-cultural causes. Individual and family level factors included: shame on multiple pregnancies; fear of discrimination from providers; past successful deliveries at home leading to overconfidence and not seeking institutional care; and lack of awareness about family planning, antenatal care, and danger signs of pregnancy. Healthcare system factors were: non-availability of senior doctors at the time of consultation in the emergency that delayed initiation of immediate treatment, and lack of availability of life-saving equipment due to patient load. Empirical evidence was found on social causes of maternal deaths, which could have been prevented by appropriate actions at individual, family, societal, institutional and policy levels. This study identified potential preventable causes of primarily social origin, which could help in taking actionable steps at several levels to further reduce maternal deaths in India.

HIV-positive men who have sex with men (HIV+MSM) in India need culturally-relevant interventions to promote safer sex. We tested a multi-level intervention among HIV+MSM that targeted individual, interpersonal, and community factors, based on the Social-Personal and Social Ecological Models. We conducted a 2 × 2 factorial RCT with 119 HIV+MSM randomised to receive either an individual-level intervention (ILI) using motivational interviewing to promote safer sex, a community-level intervention (CLI) to strengthen community norms toward safer sex and reduce stigma among MSM communities, a multi-level intervention combining the individual- and community-level interventions (ILI + CLI), or standard-of-care control. Participants completed pre- and post-intervention assessments of a composite sexual risk score and a process evaluation to assess fidelity and satisfaction. Out of the 119 HIV+MSM, 106 (89.0%) completed pre- and post-intervention assessments. Generalised Estimating Equation models showed that both CLI (Incidence Rate Ratio [IRR] =.67, 95% CI.47 to.96) and ILI + CLI (IRR =.66, 95% CI.48 to.91) groups had a statistically significant decrease in sexual risk compared to the standard-of-care. The interventions had high levels of fidelity and satisfaction. This pilot RCT demonstrated feasibility and potential effectiveness of a multi-level intervention that addresses individual, interpersonal and community-level contributors of sexual risk among HIV+MSM. [ABSTRACT FROM AUTHOR]