Socioeconomic inequality in barriers for accessing health care among married reproductive aged women in sub-Saharan African countries: a decomposition analysis.

BACKGROUND: Accessibility of health care is an essential for promoting healthy life, preventing diseases and deaths, and enhancing health equity for all. Barriers in accessing health care among reproductive-age women creates the first and the third delay for maternal mortality and leads to the occurrence of preventable complications related to pregnancy and childbirth. Studies revealed that barriers for accessing health care are concentrated among individuals with poor socioeconomic status which creates health inequality despite many international organizations top priority is enhancing universal health coverage. Therefore, this study aimed to assess the presence of socioeconomic inequality in barriers for accessing health care and its contributors in Sub-Saharan African countries. METHODS: The most recent DHS data of 33 sub-Saharan African countries from 2010 to 2020 were used. A total sample of 278,501 married reproductive aged were included in the study. Erreygers normalized concentration index (ECI) and its concentration curve were used while assessing the socioeconomic-related inequality in barriers for accessing health care. A decomposition analysis was performed to identify factors contributing for the socioeconomic-related inequality. RESULTS: The weighted Erreygers normalized Concentration Index (ECI) for barriers in accessing health care was - 0.289 with Standard error = 0.005 (P value < 0.0001); indicating that barriers in accessing health care was disproportionately concentrated among the poor. The decomposition analysis revealed that wealth index (42.58%), place of residency (36.42%), husband educational level (5.98%), women educational level (6.34%), and mass media exposure (3.07%) were the major contributors for the pro-poor socioeconomic inequalities in barriers for accessing health care. CONCLUSION: In this study, there is a pro-poor inequality in barriers for accessing health care. There is a need to intensify programs that improve wealth status, education level of the population, and mass media coverage to tackle the barriers for accessing health care among the poor.

Trends of infant mortality and its determinants in Ethiopia: mixed-effect binary logistic regression and multivariate decomposition analysis.

BACKGROUND: Infant mortality remains a serious global public health problem. The global infant mortality rate has decreased significantly over time, but the rate of decline in most African countries, including Ethiopia, is far below the rate expected to meet the SDG targets. Therefore, this study aimed to investigate the trends of infant mortality and its determinants in Ethiopia based on the four consecutive Ethiopian Demographic and Health Surveys (EDHSs). METHODS: This analysis was based on the data from four EDHSs (EDHS 2000, 2005, 2011, and 2016). A total weighted sample of 46,317 live births was included for the final analysis. The logit-based multivariate decomposition analysis was used to identify significantly contributing factors for the decrease in infant mortality in Ethiopia over the last 16 years. To identify determinants, a mixed-effect logistic regression model was fitted. The Intra-class Correlation Coefficient (ICC) and Likelihood Ratio (LR) test were used to assess the presence of a significant clustering effect. Deviance, Akaike Information Criteria (AIC), and Bayesian Information Criteria (BIC) were used for model comparison. Variables with a p-value of less than 0.2 in the bi-variable analysis were considered for the multivariable analysis. In the multivariable analysis, the Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were reported to identify the statistically significant determinants of infant mortality. RESULTS: Infant mortality rate has decreased from 96.9 per 1000 births in 2000 to 48 per 1000 births in 2016, with an annual rate of reduction of 4.2%. According to the logit based multivariate decomposition analysis, about 18.1% of the overall decrease in infant mortality was due to the difference in composition of the respondents with respect to residence, maternal age, type of birth, and parity across the surveys, while the remaining 81.9% was due to the difference in the effect of residence, parity, type of birth and parity across the surveys. In the mixed-effect binary logistic regression analysis; preceding interval <  24 months (AOR = 1.79, 95% CI; 1.46, 2.19), small size at birth (AOR = 1.55, 95% CI; 1.25, 1.92), large size at birth (AOR = 1.26, 95% CI; 1.01, 1.57), BMI <  18.5 kg/m2 (AOR = 1.22, 95% CI; 1.05, 1.50), and twins (AOR = 4.25, 95% CI; 3.01, 6.01), parity> 6 (1.51, 95% CI; 1.01, 2.26), maternal age and male sex (AOR = 1.50, 95% CI: 1.25, 1.79) were significantly associated with increased odds of infant mortality. CONCLUSION: This study found that the infant mortality rate has declined over time in Ethiopia since 2000. Preceding birth interval, child-size at birth, BMI, type of birth, parity, maternal age, and sex of child were significant predictors of infant mortality. Public health programs aimed at rural communities, and multiparous mothers through enhancing health facility delivery would help maintain Ethiopia's declining infant mortality rate. Furthermore, improving the use of ANC services and maternal nutrition is crucial to reducing infant mortality and achieving the SDG targets in Ethiopia.

Individual and community level factors associated with use of iodized salt in sub-Saharan Africa: A multilevel analysis of demographic health surveys.

INTRODUCTION: Iodine deficiency disorder a common problem in sub-Saharan Africa (SSA). It affects not only the health of the affected individual but also the economic development of the country. However, to the best of our knowledge, there is a scarcity in literature about the associated factors of iodized salt utilization in sub-Saharan Africa. Therefore, this study aimed to identify both individual and community level determinants of iodized salt utilization in sub-Saharan Africa. METHODS: This study used the appended datasets of the most recent demographic and health survey from 31 sub-Saharan countries. A total weighted sample of 391,463 households was included in the study. Both bivariable and multivariable multilevel logistic regression were done to determine the associated factors of iodized salt utilization in SSA. P value ≤ 0.05 was used to declare statistically significant variables. RESULTS: Those households with primary (AOR = 1.53, 95% CI = 1.50-1.57), secondary (AOR = 1.81, 95% CI = 1.76-1.86) and higher education level (AOR = 2.28, 95% CI = 2.17-2.40) had higher odds of iodized salt utilization. Households with middle (AOR = 1.05, 95% CI = 1.02-1.08), richer (AOR = 1.13, 95% CI = 1.09-1.17) and richest wealth index (AOR = 1.23, 95% CI = 1.18-1.28) also had an increased chance of using iodized salt. Households from high community media exposure (AOR = 2.07, 95% CI = 1.71-2.51), high community education level (AOR = 3.78, 95% CI = 3.14-4.56), and low community poverty level (AOR = 1.29, CI = 1.07-1.56) had higher odds of using salt containing iodine. CONCLUSION: Both individual and community level factors were found to be associated with use of salt containing iodine in sub-Saharan Africa. Education level, media exposure, community poverty level, wealth index, community education, and community media exposure were found to be associated with use of salt containing iodine in SSA. Therefore, to improve the use of iodized salt in the region, there is a need to increase access to media sources and develop the socioeconomic status of the community.

Prevalence and determinants of anemia among pregnant women in East Africa; A multi-level analysis of recent Demographic and Health Surveys.

INTRODUCTION: Anemia during pregnancy is a public health problem that leads to different life-threatening complications and poor pregnancy outcomes. So far, the evidence is scarce on pooled prevalence and determinants of anemia during pregnancy in East Africa for integrated intervention. Therefore, this study aimed to assess the prevalence and determinants of anemia among pregnant women in eastern Africa using recent Demographic and Health Surveys. METHOD: Secondary data analysis was conducted using data from recent Demographic and Health Survey datasets from 10 East African countries. A total of 8583 (weighted sample) pregnant women were included in the analysis. The multi-level mixed-effects generalized linear model (Poisson regression with robust error variance) was fitted to identify determinants of anemia. Finally, the adjusted prevalence ratio (aPR) with 95% CI and random effects for the multilevel generalized linear mixed-effects model was reported. RESULTS: In this study, the overall prevalence of anemia among pregnant women was 41.82% (95% CI: 40.78, 42.87) with a large difference between specific countries which ranged from 23.36% in Rwanda to 57.10% in Tanzania. In the multi-level analysis, teenage pregnant women (aPR = 1.22;95%CI:1.02, 1.40), unmarried women (aPR = 1.14; 95% CI;1.02,1.28), pregnant women who had unimproved toilet facility (aPR = 1.17;95%CI:1.06,1.27), and those women from countries with high illiteracy level (aPR = 1.12;95%CI; 1.07,1.18) had a higher prevalence of anemia during pregnancy. CONCLUSION: Anemia is still a public health problem in East Africa. Therefore, enabling the households to have improved toilet facilities by strengthening the existing health extension program, reducing teenage pregnancy, and improving the community literacy level is vital to reduce the prevalence of anemia during pregnancy in East Africa.

Duration of birth interval and its predictors among reproductive-age women in Ethiopia: Gompertz gamma shared frailty modeling.

BACKGROUND: The World Health Organization recommended a minimum of 33 months between consecutive live births to reduce the incidence of adverse pregnancy outcomes. Poorly spaced pregnancies are associated with poor maternal and child health outcomes such as low birth weight, stillbirth, uterine rupture, neonatal mortality, maternal mortality, child malnutrition, and maternal hemorrhage. However, there was limited evidence on the duration of birth interval and its predictors among reproductive-age women in Ethiopia. Therefore, this study aimed to investigate the duration of birth interval and its predictors among reproductive-age women in Ethiopia. METHODS: A secondary data analysis was conducted based on the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 11022 reproductive-age women who gave birth within five years preceding the survey was included for analysis. To identify the predictors, the Gompertz gamma shared frailty model was fitted. The theta value, Akakie Information Criteria (AIC), Bayesian Information Criteria (BIC), and deviance was used for model selection. Variables with a p-value of less than 0.2 in the bi-variable analysis were considered for the multivariable analysis. In the multivariable Gompertz gamma shared frailty analysis, the Adjusted Hazard Ratio (AHR) with a 95% Confidence Interval (CI) was reported to show the strength and statistical significance of the association. RESULTS: The median inter-birth interval in Ethiopia was 38 months (95% CI: 37.58, 38.42). Being living in Addis Ababa (AHR = 0.15, 95% CI: 0.03, 0.70), being rural resident (AHR = 1.13, 95% CI: 1.01, 1.23), being Muslim religious follower (AHR = 6.53, 95% CI: 2.35, 18.18), having three birth (AHR = 0.51, 95% CI: 0.10, 0.83), having four birth (AHR = 0.30, 95% CI: 0.09, 0.74), five and above births (AHR = 0.10, 95% CI: 0.02, 0.41), and using contraceptive (AHR = 2.35, 95% CI: 1.16, 4.77) were found significant predictors of duration of birth interval. CONCLUSION: The length of the inter-birth interval was consistent with the World Health Organization recommendation. Therefore, health care interventions that enhance modern contraceptive utilization among women in rural areas and Muslim religious followers would be helpful to optimize birth interval.

Spatial distribution and determinants of the change in pre-lacteal feeding practice over time in Ethiopia: A spatial and multivariate decomposition analysis.

BACKGROUND: Pre-lacteal feeding persists in low and middle-income countries as deep-rooted nutritional malpractice. It imposes significant negative consequences on neonatal health, including increased risk of illness and mortality. Different studies revealed that pre-lacteal feeding practice is decreased over time. Even though different studies are done on the prevalence and determinants of pre-lacteal feeding practice, up to our knowledge, the spatial distribution and the determinants of the change in pre-lacteal feeding practice over time are not researched. OBJECTIVE: To assess the spatial distribution and determinants of the change in pre-lacteal feeding practice over time in Ethiopia. METHODS: We used the Ethiopian demographic and health surveys (EDHSs) data. For this study, a total weighted sample of 14672 (5789 from EDHS 2005, 4510 from EDHS 2011, and 4373 from EDHS 2016) reproductive-age women who gave birth within two years preceding the respective surveys and whoever breastfeed were used. The logit-based multivariate decomposition analysis was used to identify factors that contributed to the decrease in pre-lacteal feeding practice over the last 10 years (from 2005 to 2016). Using the 2016 EDHS data, we also conducted a spatial analysis by using ArcGIS version 10.3 and SaTScan version 9.6 software to explore the spatial distribution and hotspot clusters of pre-lacteal feeding practice. RESULT: Pre-lacteal feeding practice was decreased from 29% [95% Confidence interval (CI): 27.63-29.96%] in 2005 to 8% [95% CI: 7.72-8.83%] in 2016 with annual rate of reduction of 7.2%. The overall decomposition analysis showed that about 20.31% of the overall decrease in pre-lacteal feeding practice over the last 10 years was attributable to the difference in composition of women (endowment) across the surveys, while, the remaining 79.39% of the overall decrease was explained by the difference in the effect of characteristics (coefficient) across the surveys. In the endowment component, the difference in composition of residence, perception of distance from the health facility, maternal educational level, wealth status, occupation, ANC visit, place of delivery, the timing of breastfeeding initiation, and wanted last-child/pregnancy were found to be significant contributing factors for the decrease in pre-lacteal feeding practice. After controlling for the role of compositional changes, the difference in the effect of distance from the health facility, wealth status, occupation, antenatal care (ANC) visit, and wanted last-child/pregnancy across the surveys were significantly contributed to the observed decrease in pre-lacteal feeding practice. Regarding the spatial distribution, pre-lacteal feeding practice was non-random in Ethiopia in which the primary and secondary clusters' of pre-lacteal feeding identified in Somalia and the Afar region respectively. CONCLUSION: Pre-lacteal feeding practice has shown a significant decline over the 10-year period. Program interventions considering women with poor maternal health service utilization such as ANC visits, women with poor socioeconomic status, women with an unintended pregnancy, and women from remote areas especially at border areas such as Somali and Afar could decrease pre-lacteal feeding practice in Ethiopia.

Individual-and community-level determinants of neonatal mortality in the emerging regions of Ethiopia: a multilevel mixed-effect analysis.

BACKGROUND: Unlike infant and child mortality, neonatal mortality has declined steadily in Ethiopia. Despite the large-scale investment made by Ethiopia to improve the health of newborns and infants, it is among the regions with the highest burden of neonatal mortality. Although there are studies done on neonatal mortality in different areas of Ethiopia, as to our search of pieces of literature there is no study in Emerging regions of the country. Therefore, this study aimed to investigate the individual and community-level determinants of neonatal mortality in the Emerging regions of Ethiopia. METHODS: Using the 2016 Ethiopian Demographic and Health Survey (EDHS) data, secondary data analysis was done. A total weighted sample of 4238 live births in Emerging regions were included for the final analysis. A multilevel binary logistic regression was fitted to identify the significant determinants of neonatal mortality. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), Proportional Change in Variance (PCV) were used for assessing the clustering effect, and deviance for model comparison. Variables with a p-value < 0.2 in the bi-variable analysis were considered in the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were reported to declare statistically significant determinants of neonatal mortality. RESULTS: The neonatal mortality rate in Emerging regions of Ethiopia was 34.9 per 1000 live births (95% CI: 29.8, 40.9). Being born to a mother who had no formal education (AOR = 1.79, 95% CI: 1.12, 2.88), being born to a mother who did not participate in making health care decisions (AOR = 1.25, 95% CI: 1.14, 1.79), and being twin birth (AOR = 6.85, 95% CI: 3.69, 12.70) were significantly associated with higher odds of neonatal mortality. On the other hand, being female (AOR = 0.67, 95% CI: 0.47, 0.95), having 1-3 Antenatal Care (ANC) visits (AOR = 0.34, 95% CI: 0.15, 0.74), high community media exposure (AOR = 0.64, 95% CI: 0.41, 0.98), and preceding birth interval of two to 4 years (AOR = 0.38, 95% CI: 0.24, 0.58) were significantly associated with lower odds of neonatal mortality. CONCLUSION: Neonatal mortality in Emerging regions of Ethiopia was unacceptably high. Maternal education, women's autonomy in making decisions for health care, sex of a child, type of birth, preceding birth interval, ANC visit, and community media exposure were found significant determinants of neonatal mortality. Therefore, empowering women in making health care decisions and increasing access to mass media play a major role in reducing the incidence of neonatal mortality in Emerging regions of Ethiopia.

Prevalence and determinants of anemia among young (15-24 years) women in Ethiopia: A multilevel analysis of the 2016 Ethiopian demographic and health survey data.

BACKGROUND: Anemia is a major global public health problem that had tremendous impacts on human health, social and economic development. African countries contribute to the highest-burden of anemia among women, particularly in adolescent females and young women. Anemia among young women remains a public health problem in most parts of Africa, including Ethiopia. Therefore, this study aimed to investigate the prevalence and determinants of anemia among young women in Ethiopia. METHODS: A secondary data analysis was conducted based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 5796 young women (15-24 years) was included in this study. We employed a multilevel analysis to assess factors associated with anemia since the EDHS has hierarchical nature. Deviance, Intraclass Correlation Coefficient (ICC) and Median Odds Ratio (MOR) were used for model comparison as well as for assessing model fitness. Variables with a p-value of less than 0.20 at bivariable multilevel analysis were considered for the multivariable multilevel analysis. In the multivariable multilevel analysis variables with p-value ≤ 0.05 were declared to be a significant factor associated with anemia, and the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) were reported to assess the strength and direction of the association. RESULTS: The overall prevalence of anemia among young women was 21.7% (95%CI = 20.7%, 22.8%). In the multivariable multilevel binary logistic regression analysis; being Muslim religion follower [adjusted odds ratio (AOR) = 1.31, 95%CI = 1.07, 1.70] and being protestant religion follower [AOR = 1.31; 95%CI = 1.01, 1.71], being rural dweller [AOR = 1.34; 95%CI = 1.02, 1.78], and being married [AOR = 1.46; 95%CI = 1.22, 1.74] were significantly associated with higher odds of anemia among young women. While, modern contraceptive use (AOR = 0.66; 95%CI = 0.53, 0.83) were significantly associated with lower odds of anemia among young women. CONCLUSION: In this study, the prevalence of anemia among young women was high. Being a follower of Muslim and protestant religions, being married women, modern contraceptive use and being from the rural area were found to be significant determinants of anemia among young women. Therefore, giving special attention to these high-risk groups and distributing modern contraceptives for those in need of it could decrease this devastating public health problem in young women.