Evidence map›Paper›PMID 40512813›Full record

ArticlePLOS global public health2025

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

Chelsea Ducille, Richard Bilsborrow, Kavita Singh, Jon Hussey, Larissa Jennings Mayo-Wilson

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chelsea DucilleDepartment of Maternal and Child Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-0477-6896
Richard BilsborrowCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Kavita SinghDepartment of Maternal and Child Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Jon HusseyDepartment of Maternal and Child Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-1799-9845
Larissa Jennings Mayo-WilsonDepartment of Maternal and Child Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0001-9349-2283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID40512813
PMCPMC12165348

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.