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AIM: The aim of this study was to assess the rural-urban differences in the prevalence and factors associated with non-utilization of healthcare facility for childbirth (home delivery) in Nigeria. METHODS: Dataset from the Nigeria demographic and health survey, 2013, disaggregated by rural-urban residence were analyzed with appropriate adjustment for the cluster sampling design of the survey. Factors associated with home delivery were identified using multivariable logistic regression analysis. RESULTS: In rural and urban residence, the prevalence of home delivery were 78.3% and 38.1%, respectively ( p < 0.001). The lowest prevalence of home delivery occurred in the South-East region for rural residence (18.6%) and the South-West region for urban residence (17.9%). The North-West region had the highest prevalence of home delivery, 93.6% and 70.5% in rural and urban residence, respectively. Low maternal as well as paternal education, low antenatal attendance, being less wealthy, the practice of Islam, and living in the North-East, North-West and the South-South regions increased the likelihood of home delivery in both rural and urban residences. Whether in rural or urban residence, birth order of one decreased the likelihood of home delivery. In rural residence only, living in the North-Central region increased the chances of home delivery. In urban residence only, maternal age ⩾ 36 years decreased the likelihood of home delivery, while 'Traditionalist/other' religion and maternal age < 20 years increased it. CONCLUSION: The prevalence of home delivery was much higher in rural than urban Nigeria and the associated factors differ to varying degrees in the two residences. Future intervention efforts would need to prioritize findings in this study.
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Instituciones de Salud/estadística & datos numéricos , Parto Domiciliario/estadística & datos numéricos , Población Rural , Población Urbana , Adulto , Parto Obstétrico/estadística & datos numéricos , Femenino , Encuestas de Atención de la Salud , Humanos , Nigeria , Embarazo , Prevalencia , Población Rural/estadística & datos numéricos , Factores Socioeconómicos , Población Urbana/estadística & datos numéricos , Adulto JovenRESUMEN
AIMS: This study investigates the rural-urban differences in infant mortality rates (IMRs) and the associated risk factors in Nigeria. METHODS: The dataset from the 2013 Nigeria demographic and health survey (NDHS), disaggregated by rural-urban residence, was analyzed using complex samples statistics. A multivariable logistic regression analysis was computed to explore the adjusted relationship and identify risk factors for infant mortality. RESULTS: In rural and urban Nigeria, IMRs were 70 and 49 deaths per 1000 live births, respectively. Risk factors in rural residence were past maternal marital union (adjusted odds ratio (AOR): 1.625, p = 0.020), small birth size (AOR: 1.550, p < 0.001), birth interval <24 months (AOR: 2.057, p < 0.001), residence in North-East (AOR: 1.346, p = 0.038) and North-West (AOR: 1.653, p < 0.001) regions, and cesarean delivery (AOR: 2.922, p = 0.001). Risk factors in urban residence were poor wealth index (AOR: 2.292, p < 0.001), small birth size (AOR: 2.276, p < 0.001), male gender (AOR: 1.416, p = 0.022), birth interval <24 months (AOR: 1.605, p = 0.002), maternal obesity (AOR: 1.641, p = 0.008), and cesarean delivery (AOR: 1.947, p = 0.032). CONCLUSIONS: Infants in rural residence had higher rates of mortality than their urban counterparts and disparities in risk factors exist between the residences.
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Disparidades en el Estado de Salud , Mortalidad Infantil , Población Rural/estadística & datos numéricos , Población Urbana/estadística & datos numéricos , Femenino , Encuestas Epidemiológicas , Humanos , Lactante , Masculino , Nigeria/epidemiología , Embarazo , Factores de RiesgoRESUMEN
BACKGROUND: Infant mortality is one of the priority public health issues in developing countries like Nepal. The infant mortality rate (IMR) was 48 and 46 per 1000 live births for the year 2006 and 2011, respectively, a slight reduction during the 5 years' period. A comprehensive analysis that has identified and compared key factors associated with infant mortality is limited in Nepal, and, therefore, this study aims to fill the gap. METHODS: Datasets from Nepal Demographic and Health Surveys (NDHS) 2006 and 2011 were used to identify and compare the major factors associated with infant mortality. Both surveys used multistage stratified cluster sampling techniques. A total of 8707 and 10,826 households were interviewed in 2006 and 2011, with more than 99% response rate in both studies. The survival information of singleton live-born infants born 5 years preceding the two surveys were extracted from the 'childbirth' dataset. Multiple logistic regression analysis using a hierarchical modelling approach with the backward elimination method was conducted. Complex Samples Analysis was used to adjust for unequal selection probability due to the multistage stratified cluster-sampling procedure used in both NDHS. RESULTS: Based on NDHS 2006, ecological region, succeeding birth interval, breastfeeding status and type of delivery assistance were found to be significant predictors of infant mortality. Infants born in hilly region (AOR = 0.43, p = 0.013) and with professional assistance (AOR = 0.27, p = 0.039) had a lower risk of mortality. On the other hand, infants with succeeding birth interval less than 24 months (AOR = 6.66, p = 0.001) and those who were never breastfed (AOR = 1.62, p = 0.044) had a higher risk of mortality. Based on NDHS 2011, birth interval (preceding and succeeding) and baby's size at birth were identified to be significantly associated with infant mortality. Infants born with preceding birth interval (AOR = 1.94, p = 0.022) or succeeding birth interval (AOR = 3.22, p = 0.002) shorter than 24 months had higher odds of mortality while those born with a very large or larger than average size had significantly lowered odds (AOR = 0.17, p = 0.008) of mortality. CONCLUSION: IMR and associated risk factors differ between NDHS 2006 and 2011 except 'succeeding birth interval' which attained significant status in the both study periods. This study identified the ecological region, birth interval, delivery assistant type, baby's birth size and breastfeeding status as significant predictors of infant mortality.