Summary Background Reliable information on the incidence of induced abortion in India is lacking. Official statistics and national surveys provide incomplete coverage. Since the early 2000s, medication abortion has become increasingly available, improving the way women obtain abortions. The aim of this study was to estimate the national incidence of abortion and unintended pregnancy for 2015. Methods National abortion incidence was estimated through three separate components: abortions (medication and surgical) in facilities (including private sector, public sector, and non-governmental organisations [NGOs]); medication abortions outside facilities; and abortions outside of facilities and with methods other than medication abortion. Facility-based abortions were estimated from the 2015 Health Facilities Survey of 4001 public and private health facilities in six Indian states (Assam, Bihar, Gujarat, Madhya Pradesh, Tamil Nadu, and Uttar Pradesh) and from NGO clinic data. National medication abortion drug sales and distribution data were obtained from IMS Health and six principal NGOs (DKT International, Marie Stopes International, Population Services International, World Health Partners, Parivar Seva Santha, and Janani). We estimated the total number of abortions that are not medication abortions and are not obtained in a health facility setting through an indirect technique based on findings from community-based study findings in two states in 2009, with adjustments to account for the rapid increase in use of medication abortion since 2009. The total number of women of reproductive age and livebirth data were obtained from UN population data, and the proportion of births from unplanned pregnancies and data on contraceptive use and need were obtained from the 2015–16 National Family Health Survey-4. Findings We estimate that 15·6 million abortions (14·1 million–17·3 million) occurred in India in 2015. The abortion rate was 47·0 abortions (42·2–52·1) per 1000 women aged 15–49 years. 3·4 million abortions (22%) were obtained in health facilities, 11·5 million (73%) abortions were medication abortions done outside of health facilities, and 0·8 million (5%) abortions were done outside of health facilities using methods other than medication abortion. Overall, 12·7 million (81%) abortions were medication abortions, 2·2 million (14%) abortions were surgical, and 0·8 million (5%) abortions were done through other methods that were probably unsafe. We estimated 48·1 million pregnancies, a rate of 144·7 pregnancies per 1000 women aged 15–49 years, and a rate of 70·1 unintended pregnancies per 1000 women aged 15–49 years. Abortions accounted for one third of all pregnancies, and nearly half of pregnancies were unintended. Interpretation Health facilities can have a greater role in abortion service provision and provide quality care, including post-abortion contraception. Interventions are needed to expand access to abortion services through better equipping existing facilities, ensuring adequate and continuous suppl...

Summary Background COVID-19 is spreading rapidly in India and other parts of the world. Despite the Indian Government's efforts to contain the disease in the affected districts, cases have been reported in 627 (98%) of 640 districts. There is a need to devise a tool for district-level planning and prioritisation and effective allocation of resources. Based on publicly available data, this study reports a vulnerability index for identification of vulnerable regions in India on the basis of population and infrastructural characteristics. Methods We computed a composite index of vulnerability at the state and district levels based on 15 indicators across the following five domains: socioeconomic, demographic, housing and hygiene, epidemiological, and health system. We used a percentile ranking method to compute both domain-specific and overall vulnerability and presented results spatially with number of positive COVID-19 cases in districts. Findings A number of districts in nine large states—Bihar, Madhya Pradesh, Telangana, Jharkhand, Uttar Pradesh, Maharashtra, West Bengal, Odisha, and Gujarat—located in every region of the country except the northeast, were found to have high overall vulnerability (index value more than 0·75). These states also had high vulnerability according to most of the five domains. Although our intention was not to predict the risk of infection for a district or a state, we observed similarities between vulnerability and the current concentration of COVID-19 cases at the state level. However, this relationship was not clear at the district level. Interpretation The vulnerability index presented in this paper identified a number of vulnerable districts in India, which currently do not have large numbers of COVID-19 cases but could be strongly impacted by the epidemic. Our index aims to help planners and policy makers effectively prioritise regions for resource allocation and adopt risk mitigation strategies for better preparedness and responses to the COVID-19 epidemic. Funding None.

Significant heterogeneity was observed in the prevalence of IPV and non-partner sexual violence among adolescent women in economically distressed urban settings, with upwards of 25% of ever-partnered women experiencing past-year IPV in Baltimore, Ibadan, and Johannesburg, and more than 10% of adolescent women in Baltimore and Johannesburg reporting non-partner sexual violence. Findings affirm the negative health influence of GBV even in disadvantaged urban settings that present a range of competing health threats. A multisectoral response is needed to prevent GBV against young women, mitigate its health impact, and hold perpetrators accountable.

This study examines the relationship between male-to-female physical domestic violence and unwanted pregnancy among women in three economically and culturally diverse areas of India. A central methodological focus of the study is the examination of retrospective and prospective measures of pregnancy unwantedness, contrasting their usefulness for specifying levels of unwanted pregnancy and its relationship with domestic violence. Data from India's 1998–99 National Family Health Survey and a 2002–03 follow-up survey for which women in four states were reinterviewed are analyzed, and the factors associated with the intersurvey adoption of contraception and the experience of an unwanted pregnancy are examined. Women who experience physical violence from their husbands are significantly less likely to adopt contraception and more likely to experience an unwanted pregnancy. A prospectively measured indicator of unwanted pregnancy identifies a higher prevalence of unwanted pregnancies than do the traditionally employed retrospective measures and is more successful in establishing a relationship between unwanted pregnancies and domestic violence. The results demonstrate a clear relationship between a woman's experience of physical violence from her husband and her ability to achieve her fertility intentions. The need to improve the measurement of pregnancy intendedness is clear, and a move toward using prospective measures as the standard is necessary.

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