RESUMEN
BACKGROUND: Sustainable Development Goals 2 target 2.2 aimed to end all forms of malnutrition by 2030. However, the prevalence of inadequate minimum dietary diversity (MDD) is high in Ethiopia and the evidence of trends and determinants of MDD consumption change among children over time is limited. Therefore, this study aimed to determine trends and determinants of MDD consumption change among children aged 6 to 23 months in Ethiopia from 2011-2019 Demographic and Health Survey (DHS) data. METHOD: The study used the data on nationally representative weighted samples of 6,971, 7,467, and 3,154 children aged 6-23 months from the 2011, 2016, and 2019 rounds of the DHS. Trend and Multivariate Decomposition analysis was conducted to determine MDD consumption change from 2011-2016, and 2016-2019 into two components: one that was explained by differences in the level of the determinants (endowment), and the other component was explained by differences in the effect of the covariates on the outcome (coefficient effects). RESULT: The trends analysis showed that adequate MDD consumption significantly increased from 2% to 10.41% from 2011 to 2016 but decreased from 10.41% to 7.11% from 2016 to 2019 in Ethiopia. The compositional and behavioral change factors like maternal age, occupational status of parents, sex of the household head, wealth index, residence, and sex of child statistically contributed to changes in MDD consumption from 2011 to 2016, and from 2016 to 2019 at p-value <0.05. CONCLUSION: The trend of minimum dietary diversity consumption among children aged 6 to 23 months in Ethiopia increased from 2011-2016 and decreased from 2016-2019 in the last decade. The study revealed that the changes in behavioral response and population composition contributed to MDD consumption change among children in Ethiopia. The finding highlights the urgent need for targeted interventions and policies to address the issue of MDD consumption change among young children due to population structure changes like wealth status, residence, and behavioral response related to employment, household head, and sex of the child in Ethiopia. Therefore, efforts should be geared to reduce poverty and improve maternal employment status, particularly for women, by producing equitable economic opportunities.
Asunto(s)
Dieta , Humanos , Etiopía , Lactante , Femenino , Masculino , Análisis Multivariante , Factores Socioeconómicos , Adulto , Encuestas Epidemiológicas , Conducta AlimentariaRESUMEN
Background: In sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals. Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia. However, the rural-urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis. Therefore, this study aimed to assess the rural-urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019). Methods: This study used the latest EMDHS 2019 dataset. STATA version 17.0 software was used for analyses. The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables. The rural-urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis. A p-value of <0.05 with a 95% confidence interval was used to determine the statistical significance. Results: The study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.001). Approximately 36.98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.02% of the disparities were due to the effect of these characteristics (coefficients). The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households. The region was the significant factor that contributed to the rural-urban disparity of CBHI enrollment due to the effect of household characteristics. Conclusion: There were significant urban-rural disparities in CBHI enrollment in Ethiopia. Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics. Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.
Asunto(s)
Seguros de Salud Comunitarios , Población Rural , Población Urbana , Humanos , Etiopía , Población Rural/estadística & datos numéricos , Femenino , Masculino , Adulto , Población Urbana/estadística & datos numéricos , Seguros de Salud Comunitarios/estadística & datos numéricos , Persona de Mediana Edad , Adolescente , Análisis Multivariante , Adulto Joven , Encuestas Epidemiológicas , Factores Socioeconómicos , Disparidades en Atención de Salud/estadística & datos numéricos , Composición FamiliarRESUMEN
Background: Addressing health inequity is a top priority for achieving sustainable development goals. The existing evidences in Ethiopia have shown that there are substantial inequalities in the use of health services among various socioeconomic strata. Therefore, the present study aimed to measure socioeconomic inequalities and the contributing factors in postnatal health checks for newborns in Ethiopia. Methods: We used a secondary data from the recent 2019 Ethiopia Mini Demographic and Health Survey dataset. The study includes a weighted sample of 2,105 women who gave birth in the 2 years preceding to the survey. The study participants were selected using two stage cluster sampling techniques. The socioeconomic inequality in postnatal health checks for newborns was measured using the Erreygers Normalized Concentration Index (ECI) and illustrated by the concentration curve. A decomposition analysis was done to identify factors contributing to the socioeconomic related inequality in postnatal health checks for newborns in Ethiopia. Results: The concentration curve of postnatal health checks for newborns lay below the line of equality, and the Erreygers normalized concentration index was 0.133, with a standard error = 0.0333, and a p value <0.001; indicating that the postnatal health check for newborns was disproportionately concentrated among newborns with higher socioeconomic status. The decomposition analysis reported that antenatal care (ANC) visit (59.22%), household wealth index (34.43%), and educational level of the mother (8.58%) were the major contributors to the pro-rich socioeconomic inequalities in postnatal health checks for newborns. Conclusion: The finding revealed that there is a pro-rich inequality in postnatal health checks for newborns in Ethiopia. To reduce the observed socioeconomic health inequality, the government needs to improve ANC visits, implement strategies to access health service for economically disadvantaged groups, and increase educational attainment among women.