Background: Vaccination is the most costeffective intervention to improve health and reduce morbidity and mortality due to vaccine-preventable diseases in the child population. The South Asian region was home to 1.8 of the 6 million babies who died within twenty-eight days of birth in 2015. Objective: To describe the status and its determinants of immunisation coverage in three South Asian countries, India, Bangladesh and Nepal.

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Universal health coverage is central to the development agenda to achieve maternal and neonatal health goals. Although there is evidence of a growing preference for institutional births in India, it is important to understand the pattern of switching location of childbirth and the factors associated with it. This study used data from the fourth round of the National Family and Health Survey (NFHS-4) conducted in India in 2015–16. The study sample comprised 59,629 women who had had at least two births in the five years preceding the survey. Bivariate and multivariate logistic regression analyses were applied to the data. About 16.4% of the women switched their location of childbirth between successive births; 9.1% switched to a health facility contributing to a net increment of 1.9% in institutional delivery, varying greatly across states and regions. There was at least a 4 percentage point net increment in institutional births in Chhattisgarh, Bihar, Punjab and Haryana, but the shift was more in favour of home births in Madhya Pradesh, Odisha and West Bengal. Women with high parity and a large birth interval had higher odds of switching their place of childbirth, and this was in favour of a health facility, while women with higher education, from lower social groups, living in urban areas, who had not received four antenatal care visits, and who belonged to a higher wealth quintile had higher odds of switching their place of childbirth to a health facility, despite having lower odds of switching their childbirth location. The study provides evidence of women in India switching their location of childbirth for successive births, and this was more prevalent in areas where the rate of institutional delivery was low. Only a few states showed a higher net increment in favour of a health facility. This suggests that there is a need for action in specific states and regions of India to achieve universal health coverage.

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Background We developed a composite index–hospital preparedness index (HOSPI)–to gauge preparedness of hospitals in India to deal with COVID-19 pandemic. Methods We developed and validated a comprehensive survey questionnaire containing 63 questions, out of which 16 critical items were identified and classified under 5 domains: staff preparedness, effects of COVID-19, protective gears, infrastructure, and future planning. Hospitals empaneled under Ayushman Bharat Yojana (ABY) were invited to the survey. The responses were analyzed using weighted negative log likelihood scores for the options. The preparedness of hospitals was ranked after averaging the scores state-wise and district-wise in select states. HOSPI scores for states were classified using K-means clustering. Findings Out of 20,202 hospitals empaneled in ABY included in the study, a total of 954 hospitals responded to the questionnaire by July 2020. Domains 1, 2, and 4 contributed the most to the index. The overall preparedness was identified as the best in Goa, and 12 states/ UTs had scores above the national average score. Among the states which experienced high COVID-19 cases during the first pandemic wave, we identified a cluster of states with high HOSPI scores indicating better preparedness (Maharashtra, Tamil Nadu, Karnataka, Uttar Pradesh and Andhra Pradesh), and a cluster with low HOSPI scores indicating poor preparedness (Chhattisgarh, Delhi, Uttarakhand). Interpretation Using this index, it is possible to identify areas for targeted improvement of hospital and staff preparedness to deal with the COVID-19 crisis.