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Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda

BACKGROUND: Of the three million newborns that die each year, Uganda ranks fifth highest in neonatal mortality rates, with 43,000 neonatal deaths each year. Despite child survival and safe motherhood programmes towards reducing child mortality, insufficient attention has been given to this critical...

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Autores principales: Rwashana, Agnes Semwanga, Nakubulwa, Sarah, Nakakeeto-Kijjambu, Margaret, Adam, Taghreed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134459/
https://www.ncbi.nlm.nih.gov/pubmed/25104047
http://dx.doi.org/10.1186/1478-4505-12-36
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author Rwashana, Agnes Semwanga
Nakubulwa, Sarah
Nakakeeto-Kijjambu, Margaret
Adam, Taghreed
author_facet Rwashana, Agnes Semwanga
Nakubulwa, Sarah
Nakakeeto-Kijjambu, Margaret
Adam, Taghreed
author_sort Rwashana, Agnes Semwanga
collection PubMed
description BACKGROUND: Of the three million newborns that die each year, Uganda ranks fifth highest in neonatal mortality rates, with 43,000 neonatal deaths each year. Despite child survival and safe motherhood programmes towards reducing child mortality, insufficient attention has been given to this critical first month of life. There is urgent need to innovatively employ alternative solutions that take into account the intricate complexities of neonatal health and the health systems. In this paper, we set out to empirically contribute to understanding the causes of the stagnating neonatal mortality by applying a systems thinking approach to explore the dynamics arising from the neonatal health complexity and non-linearity and its interplay with health systems factors, using Uganda as a case study. METHODS: Literature reviews and interviews were conducted in two divisions of Kampala district with high neonatal mortality rates with mothers at antenatal clinics and at home, village health workers, community leaders, healthcare decision and policy makers, and frontline health workers from both public and private health facilities. Data analysis and brainstorming sessions were used to develop causal loop diagrams (CLDs) depicting the causes of neonatal mortality, which were validated by local and international stakeholders. RESULTS: We developed two CLDs for demand and supply side issues, depicting the range of factors associated with neonatal mortality such as maternal health, level of awareness of maternal and newborn health, and availability and quality of health services, among others. Further, the reinforcing and balancing feedback loops that resulted from this complexity were also examined. The potential high leverage points include special gender considerations to ensure that girls receive essential education, thereby increasing maternal literacy rates, improved socioeconomic status enabling mothers to keep healthy and utilise health services, improved supervision, and internal audits at the health facilities as well as addressing the gaps in resources (human, logistics, and drugs). CONCLUSIONS: Synthesis of theoretical concepts through CLDs facilitated our understanding and interpretation of the interactions and feedback loops that contributed to the stagnant neonatal mortality rates in Uganda, which is the first step towards discussing and exploring the potential strategies and their likely impact.
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spelling pubmed-41344592014-08-17 Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda Rwashana, Agnes Semwanga Nakubulwa, Sarah Nakakeeto-Kijjambu, Margaret Adam, Taghreed Health Res Policy Syst Research BACKGROUND: Of the three million newborns that die each year, Uganda ranks fifth highest in neonatal mortality rates, with 43,000 neonatal deaths each year. Despite child survival and safe motherhood programmes towards reducing child mortality, insufficient attention has been given to this critical first month of life. There is urgent need to innovatively employ alternative solutions that take into account the intricate complexities of neonatal health and the health systems. In this paper, we set out to empirically contribute to understanding the causes of the stagnating neonatal mortality by applying a systems thinking approach to explore the dynamics arising from the neonatal health complexity and non-linearity and its interplay with health systems factors, using Uganda as a case study. METHODS: Literature reviews and interviews were conducted in two divisions of Kampala district with high neonatal mortality rates with mothers at antenatal clinics and at home, village health workers, community leaders, healthcare decision and policy makers, and frontline health workers from both public and private health facilities. Data analysis and brainstorming sessions were used to develop causal loop diagrams (CLDs) depicting the causes of neonatal mortality, which were validated by local and international stakeholders. RESULTS: We developed two CLDs for demand and supply side issues, depicting the range of factors associated with neonatal mortality such as maternal health, level of awareness of maternal and newborn health, and availability and quality of health services, among others. Further, the reinforcing and balancing feedback loops that resulted from this complexity were also examined. The potential high leverage points include special gender considerations to ensure that girls receive essential education, thereby increasing maternal literacy rates, improved socioeconomic status enabling mothers to keep healthy and utilise health services, improved supervision, and internal audits at the health facilities as well as addressing the gaps in resources (human, logistics, and drugs). CONCLUSIONS: Synthesis of theoretical concepts through CLDs facilitated our understanding and interpretation of the interactions and feedback loops that contributed to the stagnant neonatal mortality rates in Uganda, which is the first step towards discussing and exploring the potential strategies and their likely impact. BioMed Central 2014-08-08 /pmc/articles/PMC4134459/ /pubmed/25104047 http://dx.doi.org/10.1186/1478-4505-12-36 Text en Copyright © 2014 Rwashana et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Rwashana, Agnes Semwanga
Nakubulwa, Sarah
Nakakeeto-Kijjambu, Margaret
Adam, Taghreed
Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda
title Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda
title_full Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda
title_fullStr Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda
title_full_unstemmed Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda
title_short Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda
title_sort advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in uganda
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134459/
https://www.ncbi.nlm.nih.gov/pubmed/25104047
http://dx.doi.org/10.1186/1478-4505-12-36
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