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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

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dc.contributor.author Emily, Mwaliko
dc.contributor.author Raymond, Downing
dc.contributor.author Wendy, O’Meara
dc.contributor.author Dinah, Chelagat
dc.contributor.author Andrew, Obala
dc.contributor.author Timothy, Downing
dc.contributor.author Chrispinus, Simiyu
dc.contributor.author David, Odhiambo
dc.contributor.author Paul, Ayuo
dc.contributor.author Diana, Menya
dc.contributor.author Barasa, Khwa-Otsyula
dc.date.accessioned 2018-04-18T08:13:09Z
dc.date.available 2018-04-18T08:13:09Z
dc.date.issued 2014-05-05
dc.identifier.citation doi:10.1186/1472-6963-14-212 Cite this article as: Mwaliko et al.: “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system. BMC Health Services Research en_US
dc.identifier.issn http://www.biomedcentral.com/1472-6963/14/212
dc.identifier.uri http://ir.mu.ac.ke:8080/xmlui/handle/123456789/940
dc.description.abstract 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. en_US
dc.description.sponsorship Webuye community Webuye Hospital Staff, Enumerators and the Moi University VLIR-UOS en_US
dc.language.iso en_US en_US
dc.publisher BMC Health Services en_US
dc.subject Global positioning system en_US
dc.subject Demographic and surveillance system en_US
dc.subject Maternal health services en_US
dc.subject Emergency obstetric care, en_US
dc.subject Hotspot analysis en_US
dc.subject Home/facility births en_US
dc.title “Not too far to walk”: the influence of distance on place of delivery in a western Kenya health demographic surveillance system en_US
dc.type Article en_US


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