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Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya
BACKGROUND: Neonatal mortality rate in Kenya continues to be unacceptably high. In reducing newborn deaths, inequality in access to care and quality care have been identified as current barriers. Contributing to these barriers are the bypassing behaviour and geographical access which leads to delay...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216545/ https://www.ncbi.nlm.nih.gov/pubmed/32397969 http://dx.doi.org/10.1186/s12884-020-02977-x |
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author | Ocholla, Ian A. Agutu, Nathan O. Ouma, Paul O. Gatungu, Daniel Makokha, Felistas O. Gitaka, Jesse |
author_facet | Ocholla, Ian A. Agutu, Nathan O. Ouma, Paul O. Gatungu, Daniel Makokha, Felistas O. Gitaka, Jesse |
author_sort | Ocholla, Ian A. |
collection | PubMed |
description | BACKGROUND: Neonatal mortality rate in Kenya continues to be unacceptably high. In reducing newborn deaths, inequality in access to care and quality care have been identified as current barriers. Contributing to these barriers are the bypassing behaviour and geographical access which leads to delay in seeking newborn care. This study (i) measured geographical accessibility of inpatient newborn care, and (ii), characterized bypassing behaviour using the geographical accessibility of the inpatient newborn care seekers. METHODS: Geographical accessibility to the inpatient newborn units was modelled based on travel time to the units across Bungoma County. Data was then collected from 8 inpatient newborn units and 395 mothers whose newborns were admitted in the units were interviewed. Their spatial residence locations were geo-referenced and were used against the modelled travel time to define bypassing behaviour. RESULTS: Approximately 90% of the sick newborn population have access to nearest newborn units (< 2 h). However, 36% of the mothers bypassed their nearest inpatient newborn facility, with lack of diagnostic services (28%) and distrust of health personnel (37%) being the major determinants for bypassing. Approximately 75% of the care seekers preferred to use the higher tier facilities for both maternal and neonatal care in comparison to sub-county facilities which mostly were bypassed and remained underutilised. CONCLUSION: Our findings suggest that though majority of the population have access to care, sub-county inpatient newborn facilities have high risk of being bypassed. There is need to improve quality of care in maternal care, to reduce bypassing behaviour and improving neonatal outcome. |
format | Online Article Text |
id | pubmed-7216545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72165452020-05-18 Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya Ocholla, Ian A. Agutu, Nathan O. Ouma, Paul O. Gatungu, Daniel Makokha, Felistas O. Gitaka, Jesse BMC Pregnancy Childbirth Research Article BACKGROUND: Neonatal mortality rate in Kenya continues to be unacceptably high. In reducing newborn deaths, inequality in access to care and quality care have been identified as current barriers. Contributing to these barriers are the bypassing behaviour and geographical access which leads to delay in seeking newborn care. This study (i) measured geographical accessibility of inpatient newborn care, and (ii), characterized bypassing behaviour using the geographical accessibility of the inpatient newborn care seekers. METHODS: Geographical accessibility to the inpatient newborn units was modelled based on travel time to the units across Bungoma County. Data was then collected from 8 inpatient newborn units and 395 mothers whose newborns were admitted in the units were interviewed. Their spatial residence locations were geo-referenced and were used against the modelled travel time to define bypassing behaviour. RESULTS: Approximately 90% of the sick newborn population have access to nearest newborn units (< 2 h). However, 36% of the mothers bypassed their nearest inpatient newborn facility, with lack of diagnostic services (28%) and distrust of health personnel (37%) being the major determinants for bypassing. Approximately 75% of the care seekers preferred to use the higher tier facilities for both maternal and neonatal care in comparison to sub-county facilities which mostly were bypassed and remained underutilised. CONCLUSION: Our findings suggest that though majority of the population have access to care, sub-county inpatient newborn facilities have high risk of being bypassed. There is need to improve quality of care in maternal care, to reduce bypassing behaviour and improving neonatal outcome. BioMed Central 2020-05-12 /pmc/articles/PMC7216545/ /pubmed/32397969 http://dx.doi.org/10.1186/s12884-020-02977-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Ocholla, Ian A. Agutu, Nathan O. Ouma, Paul O. Gatungu, Daniel Makokha, Felistas O. Gitaka, Jesse Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya |
title | Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya |
title_full | Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya |
title_fullStr | Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya |
title_full_unstemmed | Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya |
title_short | Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya |
title_sort | geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, bungoma county-kenya |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216545/ https://www.ncbi.nlm.nih.gov/pubmed/32397969 http://dx.doi.org/10.1186/s12884-020-02977-x |
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