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“Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system

BACKGROUND: Maternal health service coverage in Kenya remains low, especially in rural areas where 63% of women deliver at home, mainly because health facilities are too far away and/or they lack transport. The objectives of the present study were to (1) determine the association between the place o...

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Autores principales: Mwaliko, Emily, Downing, Raymond, O’Meara, Wendy, Chelagat, Dinah, Obala, Andrew, Downing, Timothy, Simiyu, Chrispinus, Odhiambo, David, Ayuo, Paul, Menya, Diana, Khwa-Otsyula, Barasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036729/
https://www.ncbi.nlm.nih.gov/pubmed/24884489
http://dx.doi.org/10.1186/1472-6963-14-212
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author Mwaliko, Emily
Downing, Raymond
O’Meara, Wendy
Chelagat, Dinah
Obala, Andrew
Downing, Timothy
Simiyu, Chrispinus
Odhiambo, David
Ayuo, Paul
Menya, Diana
Khwa-Otsyula, Barasa
author_facet Mwaliko, Emily
Downing, Raymond
O’Meara, Wendy
Chelagat, Dinah
Obala, Andrew
Downing, Timothy
Simiyu, Chrispinus
Odhiambo, David
Ayuo, Paul
Menya, Diana
Khwa-Otsyula, Barasa
author_sort Mwaliko, Emily
collection PubMed
description BACKGROUND: Maternal health service coverage in Kenya remains low, especially in rural areas where 63% of women deliver at home, mainly because health facilities are too far away and/or they lack transport. The objectives of the present study were to (1) determine the association between the place of delivery and the distance of a household from the nearest health facility and (2) study the demographic characteristics of households with a delivery within a demographic surveillance system (DSS). METHODS: Census sampling was conducted for 13,333 households in the Webuye health and demographic surveillance system area in 2008–2009. Information was collected on deliveries that had occurred during the previous 12 months. Digital coordinates of households and sentinel locations such as health facilities were collected. Data were analyzed using STATA version 11. The Euclidean distance from households to health facilities was calculated using WinGRASS version 6.4. Hotspot analysis was conducted in ArcGIS to detect clustering of delivery facilities. Unadjusted and adjusted odds ratios were estimated using logistic regression models. P-values less than 0.05 were considered significant. RESULTS: Of the 13,333 households in the study area, 3255 (24%) reported a birth, with 77% of deliveries being at home. The percentage of home deliveries increased from 30% to 80% of women living within 2km from a health facility. Beyond 2km, distance had no effect on place of delivery (OR 1.29, CI 1.06–1.57, p = 0.011). Heads of households where women delivered at home were less likely to be employed (OR 0.598, CI 0.43–0.82, p = 0.002), and were less likely to have secondary education (OR 0.50, CI 0.41–0.61, p < 0.0001). Hotspot analysis showed households having facility deliveries were clustered around facilities offering comprehensive emergency obstetric care services. CONCLUSION: Households where the nearest facility was offering emergency obstetric care were more likely to have a facility delivery, but only if the facility was within 2km of the home. Beyond the 2-km threshold, households were equally as likely to have home and facility deliveries. There is need for further research on other factors that affect the choice of place of delivery, and their relationships with maternal mortality.
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spelling pubmed-40367292014-05-29 “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system Mwaliko, Emily Downing, Raymond O’Meara, Wendy Chelagat, Dinah Obala, Andrew Downing, Timothy Simiyu, Chrispinus Odhiambo, David Ayuo, Paul Menya, Diana Khwa-Otsyula, Barasa BMC Health Serv Res Research Article BACKGROUND: Maternal health service coverage in Kenya remains low, especially in rural areas where 63% of women deliver at home, mainly because health facilities are too far away and/or they lack transport. The objectives of the present study were to (1) determine the association between the place of delivery and the distance of a household from the nearest health facility and (2) study the demographic characteristics of households with a delivery within a demographic surveillance system (DSS). METHODS: Census sampling was conducted for 13,333 households in the Webuye health and demographic surveillance system area in 2008–2009. Information was collected on deliveries that had occurred during the previous 12 months. Digital coordinates of households and sentinel locations such as health facilities were collected. Data were analyzed using STATA version 11. The Euclidean distance from households to health facilities was calculated using WinGRASS version 6.4. Hotspot analysis was conducted in ArcGIS to detect clustering of delivery facilities. Unadjusted and adjusted odds ratios were estimated using logistic regression models. P-values less than 0.05 were considered significant. RESULTS: Of the 13,333 households in the study area, 3255 (24%) reported a birth, with 77% of deliveries being at home. The percentage of home deliveries increased from 30% to 80% of women living within 2km from a health facility. Beyond 2km, distance had no effect on place of delivery (OR 1.29, CI 1.06–1.57, p = 0.011). Heads of households where women delivered at home were less likely to be employed (OR 0.598, CI 0.43–0.82, p = 0.002), and were less likely to have secondary education (OR 0.50, CI 0.41–0.61, p < 0.0001). Hotspot analysis showed households having facility deliveries were clustered around facilities offering comprehensive emergency obstetric care services. CONCLUSION: Households where the nearest facility was offering emergency obstetric care were more likely to have a facility delivery, but only if the facility was within 2km of the home. Beyond the 2-km threshold, households were equally as likely to have home and facility deliveries. There is need for further research on other factors that affect the choice of place of delivery, and their relationships with maternal mortality. BioMed Central 2014-05-10 /pmc/articles/PMC4036729/ /pubmed/24884489 http://dx.doi.org/10.1186/1472-6963-14-212 Text en Copyright © 2014 Mwaliko 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.
spellingShingle Research Article
Mwaliko, Emily
Downing, Raymond
O’Meara, Wendy
Chelagat, Dinah
Obala, Andrew
Downing, Timothy
Simiyu, Chrispinus
Odhiambo, David
Ayuo, Paul
Menya, Diana
Khwa-Otsyula, Barasa
“Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system
title “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system
title_full “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system
title_fullStr “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system
title_full_unstemmed “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system
title_short “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system
title_sort “not too far to walk”: the influence of distance on place of delivery in a western kenya health demographic surveillance system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036729/
https://www.ncbi.nlm.nih.gov/pubmed/24884489
http://dx.doi.org/10.1186/1472-6963-14-212
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