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Published in: BMC Pediatrics 1/2022

Open Access 01-12-2022 | Research

Adapted Helping Babies Breathe approach to neonatal resuscitation in Haiti: a retrospective cohort study

Authors: Shannon Findlay, Morgan Swanson, Christian Junker, Mitchell Kinkor, Karisa K. Harland, Christopher Buresh

Published in: BMC Pediatrics | Issue 1/2022

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Abstract

Background

Helping Babies Breathe (HBB) is an American Academy of Pediatrics neonatal resuscitation program designed to reduce neonatal mortality in low resource settings. The 2017 neonatal mortality rate in Haiti was 28 per 1000 live births and an estimated 85 % of Haitian women deliver at home. Given this, the Community Health Initiative implemented an adapted HBB (aHBB) in Haiti to evaluate neonatal mortality.

Methods

Community Health Workers taught an aHBB program to laypeople, which didn’t include bag-valve-mask ventilation. Follow-up after delivery assessed for maternal and neonatal mortality and health.

Results

Analysis included 536 births of which 84.3 % (n=452) were attended by someone trained in aHBB. The odds of neonatal mortality was not significantly different among the two groups (aOR=0.48 [0.16-1.44]). Composite outcome of neonatal health as reported by the mother (subjective morbidity and mortality) was significantly lower in aHBB attended births (aOR=0.31 [0.14-0.70]).

Conclusion

This analysis of the aHBB program indicates that community training to laypersons in low resource settings may reduce neonatal ill-health but not neonatal mortality. This study is likely underpowered to find a difference in neonatal mortality. Further work is needed to evaluate which components of the aHBB program are instrumental in improving neonatal health.
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Metadata
Title
Adapted Helping Babies Breathe approach to neonatal resuscitation in Haiti: a retrospective cohort study
Authors
Shannon Findlay
Morgan Swanson
Christian Junker
Mitchell Kinkor
Karisa K. Harland
Christopher Buresh
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Pediatrics / Issue 1/2022
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-021-02987-4

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