NEONATAL DEATH IN INDIA: BIRTH ORDER IN A CONTEXT OF MATERNAL UNDERNUTRITION

Life skills and reproductive health empowerment intervention for newly married women and their families to reduce unintended pregnancy in India: protocol for the TARANG cluster randomised controlled trial

INTRODUCTION

In South Asia, younger women have high rates of unmet need for family planning and low empowerment. Life skills interventions can equip young women with agency, but the effectiveness of these interventions in reproductive and sexual autonomy and contraception has not been examined.

METHODS AND ANALYSIS

A two-arm, parallel, cluster randomised controlled trial will evaluate the impact of TARANG (Transforming Actions for Reaching and Nurturing Gender Equity and Empowerment), a life skills and reproductive health empowerment group-based intervention for newly married women, compared with usual services in the community in rural and tribal Rajasthan, India. TARANG will also provide light-touch sessions to husbands and mothers-in-law of newly married women. We will test the impact of TARANG in 80 village clusters among 800 eligible households comprising newly married women aged 18-25 years who are at risk of pregnancy but do not want a pregnancy within 1 year at the time of enrolment, their husbands and mothers-in-law who consent to participate. Women in the intervention villages will receive 14 sessions over a 6-month period, while husbands and mothers-in-law will receive 1 and 4 sessions (respectively) each. Three rounds of surveys will be collected over 18 months. Control villages will receive the intervention after the endline surveys. Primary outcomes include rate of unintended pregnancy and modern contraceptive use. We plan to start recruitment of participants and data collection in April 2024. We will estimate unadjusted and adjusted intention-to-treat effects using survival analysis and mixed models.

ETHICS AND DISSEMINATION

Study protocols have been reviewed and approved by the human subjects review boards at the University of California, San Francisco, and the Centre for Media Studies, India (IRB00006230) and ACE Independent Ethics Committee, Bangalore (NET0062022). Results will be disseminated in international peer-reviewed journals and conferences, to stakeholders including local government and non-governmental organisations, and directly to the communities and individuals that participated in the intervention.

TRIAL REGISTRATION NUMBER

NCT06024616.

Neonatal and Postneonatal Death Clustering Among Siblings in Bangladesh: Evidence from Bangladesh Demographic and Health Survey 2017-2018

Despite knowledge of neonatal and postneonatal mortality determinants in Bangladesh, some families continue to lose a larger share of children, a phenomenon known as early-life mortality clustering. This study uses the random intercept Weibull survival regression model to explore the correlation of mortality risk among siblings at the family (or, mother) and community levels. Utilizing the Bangladesh Demographic and Health Survey 2017-2018, we found evidence of death scarring, where children whose previous sibling was not alive at the time of conception had significantly higher odds of neonatal mortality. Moreover, the neonatal (and postneonatal) mortality hazard was highest for children with a birth interval of fewer than 19 months, corresponding to the preceding sibling. The intraclass correlation coefficient's statistically significant values show that neonatal and postneonatal mortality risk is correlated among children of the same family and community. The findings suggest focusing on high-risk families and communities to reduce the mortality level effectively.

Endogenous inclusion in the Demographic and Health Survey anthropometric sample: Implications for studying height within households

Development economists study both anthropometry and intra-household allocation. In these literatures, the Demographic and Household Surveys (DHS) are essential. The DHS censors its anthropometric sample by age: only children under five are measured. We document several econometric consequences, especially for estimating birth-order effects. Child birth order and mothers' fertility are highly correlated in the age-censored anthropometric subsample. Moreover, family structures and age patterns that permit within-family comparisons of siblings' anthropometry are unrepresentative. So strategies that could separate birth order and fertility in other data cannot here. We show that stratification by mother's fertility is important. We illustrate this by comparing India and sub-Saharan Africa (SSA). Children in India born to higher-fertility mothers are shorter, on average, than children of lower-fertility mothers. Yet, later-born children in India are taller, adjusted for age, than earlier-born children of the same sibsize. In SSA, neither of these associations is large.