# Association of remittances with skilled delivery in Uganda, 2019/2020

## TL;DR

This study explores how receiving remittances in Uganda may be linked to increased use of skilled delivery services for mothers.

## Contribution

The study introduces a dose-response analysis to explore the relationship between remittances and skilled delivery in Uganda.

## Key findings

- No statistically significant association was found in logistic regression models.
- A dose-response analysis revealed a relationship between remittances and skilled delivery.
- Recommendations include better data collection and longitudinal studies.

## Abstract

There are significant disparities in maternal and child mortality ratios between high-income and low- and middle-income countries (LMICs). Despite large decreases in maternal and child mortality in recent decades, with programs such as the Safe Motherhood Initiative, the Sustainable Development Goals and the Millennium Development Goals in LMICs, these differences remain large. The objective of this study is to examine the association between the receipt of remittances received by households and skilled delivery among women reporting a recent birth. This study uses data from the household, woman, and community modules of the Uganda National Panel Survey (UNPS) from 2019/2020 to examine skilled delivery and skilled delivery with the use of safe birthing kits. Women of reproductive age with a birth within the last three years of data collection were included in the analysis. A cross-sectional analysis of 2019/2020 UNPS data is analyzed using logistic regression and a dose-response analysis plotting the estimated probabilities of skilled delivery and skilled delivery with use of safe birthing kits against increasing amounts of remittances. While no statistically significant associations were found between remittances and skilled delivery in the logistic model, the dose-response model did find such a relationship. Recommendations for future research in this topic area include improving questionnaire design to collect better data on remittances, utilizing longitudinal data with larger sample sizes, and examining mechanisms of money transfer.