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Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis
BACKGROUND: Improving access to delivery services does not guarantee access to quality obstetric care and better survival, and therefore, concerns for quality of maternal and newborn care in low- and middle-income countries have been raised. Our study explored characteristics associated with the qua...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433759/ https://www.ncbi.nlm.nih.gov/pubmed/28520771 http://dx.doi.org/10.1371/journal.pone.0177756 |
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author | Owili, Patrick Opiyo Muga, Miriam Adoyo Mendez, Bomar Rojas Chen, Bradley |
author_facet | Owili, Patrick Opiyo Muga, Miriam Adoyo Mendez, Bomar Rojas Chen, Bradley |
author_sort | Owili, Patrick Opiyo |
collection | PubMed |
description | BACKGROUND: Improving access to delivery services does not guarantee access to quality obstetric care and better survival, and therefore, concerns for quality of maternal and newborn care in low- and middle-income countries have been raised. Our study explored characteristics associated with the quality of initial assessment, intrapartum, and immediate postpartum and newborn care, and further assessed the relationships along the continuum of care. METHODS: The 2010 Service Provision Assessment data of Kenya for 627 routine deliveries of women aged 15–49 were used. Quality of care measures were assessed using recently validated quality of care measures during initial assessment, intrapartum, and postpartum periods. Data were analyzed with negative binomial regression and structural equation modeling technique. RESULTS: The negative binomial regression results identified a number of determinants of quality, such as the level of health facilities, managing authority, presence of delivery fee, central electricity supply and clinical guideline for maternal and neonatal care. Our structural equation modeling (SEM) further demonstrated that facility characteristics were important determinants of quality for initial assessment and postpartum care, while characteristics at the provider level became more important in shaping the quality of intrapartum care. Furthermore we also noted that quality of initial assessment had a positive association with quality of intrapartum care (β = 0.71, p < 0.001), which in turn was positively associated with the quality of newborn and immediate postpartum care (β = 1.29, p = 0.004). CONCLUSIONS: A continued focus on quality of care along the continuum of maternity care is important not only to mothers but also their newborns. Policymakers should therefore ensure that required resources, as well as adequate supervision and emphasis on the quality of obstetric care, are available. |
format | Online Article Text |
id | pubmed-5433759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54337592017-05-26 Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis Owili, Patrick Opiyo Muga, Miriam Adoyo Mendez, Bomar Rojas Chen, Bradley PLoS One Research Article BACKGROUND: Improving access to delivery services does not guarantee access to quality obstetric care and better survival, and therefore, concerns for quality of maternal and newborn care in low- and middle-income countries have been raised. Our study explored characteristics associated with the quality of initial assessment, intrapartum, and immediate postpartum and newborn care, and further assessed the relationships along the continuum of care. METHODS: The 2010 Service Provision Assessment data of Kenya for 627 routine deliveries of women aged 15–49 were used. Quality of care measures were assessed using recently validated quality of care measures during initial assessment, intrapartum, and postpartum periods. Data were analyzed with negative binomial regression and structural equation modeling technique. RESULTS: The negative binomial regression results identified a number of determinants of quality, such as the level of health facilities, managing authority, presence of delivery fee, central electricity supply and clinical guideline for maternal and neonatal care. Our structural equation modeling (SEM) further demonstrated that facility characteristics were important determinants of quality for initial assessment and postpartum care, while characteristics at the provider level became more important in shaping the quality of intrapartum care. Furthermore we also noted that quality of initial assessment had a positive association with quality of intrapartum care (β = 0.71, p < 0.001), which in turn was positively associated with the quality of newborn and immediate postpartum care (β = 1.29, p = 0.004). CONCLUSIONS: A continued focus on quality of care along the continuum of maternity care is important not only to mothers but also their newborns. Policymakers should therefore ensure that required resources, as well as adequate supervision and emphasis on the quality of obstetric care, are available. Public Library of Science 2017-05-16 /pmc/articles/PMC5433759/ /pubmed/28520771 http://dx.doi.org/10.1371/journal.pone.0177756 Text en © 2017 Owili et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Owili, Patrick Opiyo Muga, Miriam Adoyo Mendez, Bomar Rojas Chen, Bradley Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis |
title | Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis |
title_full | Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis |
title_fullStr | Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis |
title_full_unstemmed | Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis |
title_short | Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis |
title_sort | quality of maternity care and its determinants along the continuum in kenya: a structural equation modeling analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433759/ https://www.ncbi.nlm.nih.gov/pubmed/28520771 http://dx.doi.org/10.1371/journal.pone.0177756 |
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