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Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo

Providing quality health care services in humanitarian settings is challenging due to population displacement, lack of qualified staff and supervisory oversight, and disruption of supply chains. This study explored whether a participatory quality improvement (QI) intervention could be used in a prot...

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Autores principales: Hynes, Michelle, Meehan, Kate, Meyers, Janet, Maneno, Leon Mashukano, Hulland, Erin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5757313/
https://www.ncbi.nlm.nih.gov/pubmed/29231787
http://dx.doi.org/10.1080/09688080.2017.1403276
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author Hynes, Michelle
Meehan, Kate
Meyers, Janet
Maneno, Leon Mashukano
Hulland, Erin
author_facet Hynes, Michelle
Meehan, Kate
Meyers, Janet
Maneno, Leon Mashukano
Hulland, Erin
author_sort Hynes, Michelle
collection PubMed
description Providing quality health care services in humanitarian settings is challenging due to population displacement, lack of qualified staff and supervisory oversight, and disruption of supply chains. This study explored whether a participatory quality improvement (QI) intervention could be used in a protracted conflict setting to improve facility-based maternal and newborn care. A longitudinal quasi-experimental design was used to examine delivery of maternal and newborn care components at 12 health facilities in eastern Democratic Republic of Congo. Study facilities were split into two groups, with both groups receiving an initial “standard” intervention of clinical training. The “enhanced” intervention group then applied a QI methodology, which involved QI teams in each facility, supported by coaches, testing small changes to improve care. This paper presents findings on two of the study outcomes: delivery of active management of the third stage of labour (AMTSL) and essential newborn care (ENC). We measured AMTSL and ENC through exit interviews with post-partum women and matched partographs at baseline and endline over a 9-month period. Using generalised equation estimation models, the enhanced intervention group showed a greater rate of change than the control group for AMTSL (aOR 3.47, 95% CI: 1.17–10.23) and ENC (OR: 49.62, 95% CI: 2.79–888.28), and achieved 100% ENC completion at endline. This is one of the first studies where this QI methodology has been used in a protracted conflict setting. A method where health staff take ownership of improving care is of even greater value in a humanitarian context where external resources and support are scarce. DOI: 10.1080/09688080.2017.1403276
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spelling pubmed-57573132018-12-12 Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo Hynes, Michelle Meehan, Kate Meyers, Janet Maneno, Leon Mashukano Hulland, Erin Reprod Health Matters Article Providing quality health care services in humanitarian settings is challenging due to population displacement, lack of qualified staff and supervisory oversight, and disruption of supply chains. This study explored whether a participatory quality improvement (QI) intervention could be used in a protracted conflict setting to improve facility-based maternal and newborn care. A longitudinal quasi-experimental design was used to examine delivery of maternal and newborn care components at 12 health facilities in eastern Democratic Republic of Congo. Study facilities were split into two groups, with both groups receiving an initial “standard” intervention of clinical training. The “enhanced” intervention group then applied a QI methodology, which involved QI teams in each facility, supported by coaches, testing small changes to improve care. This paper presents findings on two of the study outcomes: delivery of active management of the third stage of labour (AMTSL) and essential newborn care (ENC). We measured AMTSL and ENC through exit interviews with post-partum women and matched partographs at baseline and endline over a 9-month period. Using generalised equation estimation models, the enhanced intervention group showed a greater rate of change than the control group for AMTSL (aOR 3.47, 95% CI: 1.17–10.23) and ENC (OR: 49.62, 95% CI: 2.79–888.28), and achieved 100% ENC completion at endline. This is one of the first studies where this QI methodology has been used in a protracted conflict setting. A method where health staff take ownership of improving care is of even greater value in a humanitarian context where external resources and support are scarce. DOI: 10.1080/09688080.2017.1403276 2017-12-12 2017-11 /pmc/articles/PMC5757313/ /pubmed/29231787 http://dx.doi.org/10.1080/09688080.2017.1403276 Text en This is an Open Access article that has been identified as being free of known restrictions under copyright law, including all related and neighboring rights (https://creativecommons.org/publicdomain/mark/1.0/). You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
spellingShingle Article
Hynes, Michelle
Meehan, Kate
Meyers, Janet
Maneno, Leon Mashukano
Hulland, Erin
Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo
title Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo
title_full Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo
title_fullStr Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo
title_full_unstemmed Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo
title_short Using a quality improvement approach to improve maternal and neonatal care in North Kivu, Democratic Republic of Congo
title_sort using a quality improvement approach to improve maternal and neonatal care in north kivu, democratic republic of congo
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5757313/
https://www.ncbi.nlm.nih.gov/pubmed/29231787
http://dx.doi.org/10.1080/09688080.2017.1403276
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