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The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda
INTRODUCTION: Poor-quality care contributes to a significant portion of neonatal deaths globally. The All Babies Count (ABC) initiative was an 18-month district-wide approach designed to improve clinical and system performance across 2 rural Rwandan districts. METHODS: This pre-post intervention stu...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Global Health: Science and Practice
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541121/ https://www.ncbi.nlm.nih.gov/pubmed/33008847 http://dx.doi.org/10.9745/GHSP-D-20-00031 |
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author | Magge, Hema Nahimana, Evrard Mugunga, Jean Claude Nkikabahizi, Fulgence Tadiri, Elisabeth Sayinzoga, Felix Manzi, Anatole Nyishime, Merab Biziyaremye, Francois Iyer, Hari Hedt-Gauthier, Bethany Hirschhorn, Lisa R. |
author_facet | Magge, Hema Nahimana, Evrard Mugunga, Jean Claude Nkikabahizi, Fulgence Tadiri, Elisabeth Sayinzoga, Felix Manzi, Anatole Nyishime, Merab Biziyaremye, Francois Iyer, Hari Hedt-Gauthier, Bethany Hirschhorn, Lisa R. |
author_sort | Magge, Hema |
collection | PubMed |
description | INTRODUCTION: Poor-quality care contributes to a significant portion of neonatal deaths globally. The All Babies Count (ABC) initiative was an 18-month district-wide approach designed to improve clinical and system performance across 2 rural Rwandan districts. METHODS: This pre-post intervention study measured change in maternal and newborn health (MNH) quality of care and neonatal mortality. Data from the facility and community health management information system and newly introduced indicators were extracted from facility registers. Medians and interquartile ranges were calculated for the health facility to assess changes over time, and a mixed-effects logistic regression model was created for neonatal mortality. A difference-in-differences analysis was conducted to compare the change in district neonatal mortality with the rest of rural Rwanda. RESULTS: Improvements were seen in multiple measures of facility readiness and MNH quality of care, including antenatal care coverage, preterm labor management, and postnatal care quality. District hospital case fatality decreased, with a statistically significant reduction in district neonatal mortality (odds ratio [OR]=0.54; 95% confidence interval [CI]=0.36, 0.83) and among preterm/low birth weight neonates (OR=0.47; 95% CI=0.25, 0.90). Neonatal mortality was reduced from 30.1 to 19.6 deaths/1,000 live births in the intervention districts and remained relatively stable in the rest of rural Rwanda (difference in differences −12.9). CONCLUSION: The ABC initiative contributed to improved MNH quality of care and outcomes in rural Rwanda. A combined clinical and health system improvement approach could be an effective strategy to improve quality and reduce neonatal mortality. |
format | Online Article Text |
id | pubmed-7541121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Global Health: Science and Practice |
record_format | MEDLINE/PubMed |
spelling | pubmed-75411212020-10-14 The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda Magge, Hema Nahimana, Evrard Mugunga, Jean Claude Nkikabahizi, Fulgence Tadiri, Elisabeth Sayinzoga, Felix Manzi, Anatole Nyishime, Merab Biziyaremye, Francois Iyer, Hari Hedt-Gauthier, Bethany Hirschhorn, Lisa R. Glob Health Sci Pract Original Article INTRODUCTION: Poor-quality care contributes to a significant portion of neonatal deaths globally. The All Babies Count (ABC) initiative was an 18-month district-wide approach designed to improve clinical and system performance across 2 rural Rwandan districts. METHODS: This pre-post intervention study measured change in maternal and newborn health (MNH) quality of care and neonatal mortality. Data from the facility and community health management information system and newly introduced indicators were extracted from facility registers. Medians and interquartile ranges were calculated for the health facility to assess changes over time, and a mixed-effects logistic regression model was created for neonatal mortality. A difference-in-differences analysis was conducted to compare the change in district neonatal mortality with the rest of rural Rwanda. RESULTS: Improvements were seen in multiple measures of facility readiness and MNH quality of care, including antenatal care coverage, preterm labor management, and postnatal care quality. District hospital case fatality decreased, with a statistically significant reduction in district neonatal mortality (odds ratio [OR]=0.54; 95% confidence interval [CI]=0.36, 0.83) and among preterm/low birth weight neonates (OR=0.47; 95% CI=0.25, 0.90). Neonatal mortality was reduced from 30.1 to 19.6 deaths/1,000 live births in the intervention districts and remained relatively stable in the rest of rural Rwanda (difference in differences −12.9). CONCLUSION: The ABC initiative contributed to improved MNH quality of care and outcomes in rural Rwanda. A combined clinical and health system improvement approach could be an effective strategy to improve quality and reduce neonatal mortality. Global Health: Science and Practice 2020-10-01 /pmc/articles/PMC7541121/ /pubmed/33008847 http://dx.doi.org/10.9745/GHSP-D-20-00031 Text en © Magge et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit http://creativecommons.org/licenses/by/4.0/. When linking to this article, please use the following permanent link: https://doi.org/10.9745/GHSP-D-20-00031 |
spellingShingle | Original Article Magge, Hema Nahimana, Evrard Mugunga, Jean Claude Nkikabahizi, Fulgence Tadiri, Elisabeth Sayinzoga, Felix Manzi, Anatole Nyishime, Merab Biziyaremye, Francois Iyer, Hari Hedt-Gauthier, Bethany Hirschhorn, Lisa R. The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda |
title | The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda |
title_full | The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda |
title_fullStr | The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda |
title_full_unstemmed | The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda |
title_short | The All Babies Count Initiative: Impact of a Health System Improvement Approach on Neonatal Care and Outcomes in Rwanda |
title_sort | all babies count initiative: impact of a health system improvement approach on neonatal care and outcomes in rwanda |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541121/ https://www.ncbi.nlm.nih.gov/pubmed/33008847 http://dx.doi.org/10.9745/GHSP-D-20-00031 |
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