Multilevel analysis of healthcare utilization for childhood diarrhea in high under five mortality countries.

Globally, 4.9 million under-five deaths occurred before celebrating their fifth birthday. Four in five under-five deaths were recorded in sub-Saharan Africa and Southern Asia. Childhood diarrhea is one of the leading causes of death and is accountable for killing around 443,832 children every year. Despite healthcare utilization for childhood diarrhea has a significant effect on the reduction of childhood mortality and morbidity, most children die due to delays in seeking healthcare. Therefore, this study aimed to assess healthcare utilization for childhood diarrhea in the top high under-five mortality countries. This study used secondary data from 2013/14 to 2019 demographic and health surveys of 4 top high under-five mortality countries. A total weighted sample of 7254 mothers of under-five children was included. A multilevel binary logistic regression was employed to identify the associated factors of healthcare utilization for childhood diarrhea. The statistical significance was declared at a p-value less than 0.05 with a 95% confidence interval. The overall magnitude of healthcare utilization for childhood diarrhea in the top high under-five mortality countries was 58.40% (95% CI 57.26%, 59.53%). Partner/husband educational status, household wealth index, media exposure, information about oral rehydration, and place of delivery were the positive while the number of living children were the negative predictors of healthcare utilization for childhood diarrhea in top high under-five mortality countries. Besides, living in different countries compared to Guinea was also an associated factor for healthcare utilization for childhood diarrhea. More than four in ten children didn't receive health care for childhood diarrhea in top high under-five mortality countries. Thus, to increase healthcare utilization for childhood diarrhea, health managers and policymakers should develop strategies to improve the household wealth status for those with poor household wealth index. The decision-makers and program planners should also work on media exposure and increase access to education. Further research including the perceived severity of illness and ORS knowledge-related factors of healthcare utilization for childhood diarrhea should also be considered by other researchers.

Only 9% of mothers have eight and more ANC visit in 14 sub-saharan African countries; evidence from the most recent DHS 2018-2023: a multilevel analysis.

BACKGROUND: The world health organization's global health observatory defines maternal mortality as annual number of female deaths, regardless of the period or location of the pregnancy, from any cause related to or caused by pregnancy or its management (aside from accidental or incidental causes) during pregnancy and childbirth or within 42 days of termination of pregnancy and an estimated 287 000 women worldwide passed away from maternal causes between 2016 and 2020, that works out to be about 800 deaths per day or about one every two minutes. METHOD: The most recent 2018-2023 DHS data set of 14 SSA countries was used a total of 89,489 weighted mothers who gave at list one live birth 3 years preceding the survey were included, a multilevel analysis was conducted. In the bi-variable analysis variables with p-value ≤ 0.20 were included in the multivariable analysis, and in the multivariable analysis, variables with p-value less than ≤ 0.05 were considered to be significant factors associated with having eight and more ANC visits. RESULT: The magnitude of having eight and more ANC visits in 14 sub-Saharan African countries was 8.9% (95% CI: 8.76-9.13) ranging from 3.66% (95% CI: 3.54-3.79) in Gabon to 18.92% (95% CI: 18.67-19.17) in Nigeria. The multilevel analysis shows that maternal age (40-44, AOR;2.09, 95%CI: 1.75-2.53), maternal occupational status (AOR;1.14, 95%CI; 1.07-1.22), maternal educational level (secondary and above, AOR;1.26, 95%CI; 1.16-1.38), wealth status(AOR;1.65, 95%CI; 1.50-1.82), media exposure (AOR;1.20, 95%CI; 1.11-1.31), pregnancy intention (AOR;1.12, 95%CI; 1.05-1.20), ever had terminated pregnancy (AOR;1.16 95%CI; 1.07-1.25), timely initiation of first ANC visit (AOR;4.79, 95%CI; 4.49-5.10), empowerment on respondents health care (AOR;1.43, 95%CI; 1.30-1.56), urban place of residence (AOR;1.33, 95%CI; 1.22-1.44) were factors highly influencing the utilization of AN. On the other hand higher birth order (AOR;0.54, 95%CI; 0.53-0.66), not using contraceptive (AOR;0.80, 95%CI; 0.75-0.86) and survey year (AOR;0.47, 95%CI; 0.34-0.65) were factors negatively associated with having eight and more ANC visits. CONCLUSION: In the 14 SSA included in this study, there is low adherence to WHO guidelines of eight and more ANC visits. Being educated, having jobs, getting access to media being from rural residence and rich wealth group contribute to having eight and more ANC visits, so we highly recommend policy implementers to advocate this practices.

Measuring socioeconomic inequalities in postnatal health checks for newborns in Ethiopia: a decomposition analysis.

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.