"Not too far to walk": the influence of distance on place of delivery in a western Kenya health demographic surveillance system
- PMID: 24884489
- PMCID: PMC4036729
- DOI: 10.1186/1472-6963-14-212
"Not too far to walk": the influence of distance on place of delivery in a western Kenya health demographic surveillance system
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 2 km from a health facility. Beyond 2 km, 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 2 km 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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References
-
- Republic of Kenya. The Kenya National Demographic Health Survey 2008–9 Kenya National Bureau of Statistics (KNBS) and ICF Macro 2010 Calverton. Maryland: KNBS and ICF Macro; 2010.
-
- Mwaniki PK, Kabiru EW, Mbugua GG. Utilization of antenatal and maternity services by mothers seeking child welfare services in Mbeere District, Eastern Province Kenya. East Afr Med J. 2002;14(4):184–187. April. - PubMed
-
- Nuwaha F, Amooti-Kaguna B. Predictors of home deliveries in Rakai District Uganda. Afr J Reprod Health. 1999;14(2):79–86. doi: 10.2307/3583363. - DOI
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