Trends in maternal education-based inequalities in under-five mortality in Ethiopia: multilevel, decomposition and concentration index analyses
Notice bibliographique
Résumé
In 2021, a staggering five million children globally succumbed to mortality before celebrating their fifth birthdays. Alarmingly, children residing in Sub-Saharan African nations faced mortality risks 15 and 19 times higher than their counterparts in Europe and Northern America, as well as the region encompassing Australia and New Zealand, respectively. Ethiopia, situated in Sub-Saharan Africa, shoulders a significant burden of under-five mortality, securing the third position in Africa and the tenth globally. The primary objective of this study was to scrutinize the trends in under-five mortality inequalities based on maternal education in Ethiopia from 2000 to 2016. The analysis utilized data from repeated cross-sectional surveys, drawing upon a pooled total sample of 35,404 children aged 0–59 months. This sample was derived from the Ethiopian Demography and Health Surveys conducted in 2000, 2005, 2011, and 2016. To explore the determinants of under-five mortality among this age group, we employed multilevel binary logistic regression analysis. This approach allowed us to assess the impact of various factors at the individual, household, and community levels. Additionally, we conducted multivariate decomposition, concentration index, and decomposition rate analyses to scrutinize the evolving trends in maternal education-based disparities in under-five mortality. Maternal education emerged as a significant factor influencing under-five mortality in Ethiopia. Notably, approximately one-third (31%) of the observed inequalities in under-five mortality based on maternal education could be accounted for by the effects of observed characteristics. Over the years, there has been a noteworthy reduction in absolute inequalities in under-five mortality. Specifically, a decline of 0.14 was observed between 2000 and 2005, and a more substantial decrease of 0.32 occurred in the period spanning 2000 to 2016, resulting in an overall change of 56.25%. Furthermore, this study revealed that about 43.12% of the reduction in under-five mortality could be attributed to the narrowed gap in maternal education during the survey period. The implications drawn from these findings underscore the importance of directing interventions aimed at reducing early mortality toward the promotion of maternal education. It is evident that addressing maternal education plays a pivotal role in mitigating inequalities in under-five mortality. Additionally, there is a pressing need to revisit and enhance existing population and health policies. Establishing stronger linkages between child survival issues and the education sector is crucial for achieving the targets outlined in the Sustainable Development Goals related to under-five mortality. By aligning policies with these insights, there is a greater likelihood of fostering sustainable improvements in child survival and advancing towards the overarching goal of reducing under-five mortality.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».