Mortalidade infantil: tendência temporal e contribuição da vigilância do óbito

Geographical disparities and determinants of infant mortality in Ethiopia: mapping and spatial analysis using EDHS data

BACKGROUND

Infant mortality remains a public health challenge in Ethiopia. Exploring infant mortality will aid in tracking the progress toward achieving sustainable development goals.

OBJECTIVE

The study aimed to explore the geographical variations and associated factors of infant mortality in Ethiopia.

METHOD

A total of 11,023 infants from the 2016 Ethiopian Demographic and Health Survey (EDHS) data were extracted and included in the analysis. EDHS used a two-stage cluster sampling design with a census enumeration area as the primary sampling unit and households as the secondary sampling unit. Arc GIS software was used for spatial analysis using clusters for exploring geographical variations in infant mortality. A binary logistic regression was employed using R software to identify the significant determinants of infant mortality.

RESULTS

The study revealed that the spatial distribution of infant mortality was non-random in the country. Infants whose mothers not receiving ANC (AOR = 1.45; 95%CI: 1.17, 1.79), not breastfed status (AOR = 3.94; 95%CI: 3.19, 4.81), poor wealth index (AOR = 1.36; 95%CI: 1.04, 1.77), male infants (AOR = 1.59; 95%CI: 1.29, 1.95), birth order of six or above (AOR = 3.11; 95%CI: 2.08, 4.62), small birth size (AOR = 1.27; 95%CI: 1.26, 1.60), birth spacing [(≤ 24 months (AOR = 2.29; 95%CI: 1.79, 2.92), 25-36 months (AOR = 1.16; 95%CI: 1.12, 1.49)], multiple births (AOR = 6.82; 95%CI: 4.76, 10.81), rural residence (AOR = 1.63; 95%CI: 1.05, 2.77) and regions [Afar (AOR = 1.54; 95%CI: 1.01, 2.36), Harari (AOR = 1.56; 95%CI: 1.04, 2.56), and Somali (AOR = 1.52; 95%CI: 1.03, 2.39)] were the determinants of infant death in Ethiopia.

CONCLUSIONS

There is a great geographical disparity in infant mortality rates across regions. Afar, Harari, and Somali regions were verified as hot spot areas. ANC usage, breastfed status, wealth index, sex of the infant, birth order, birth size, birth spacing, birth type, residence, and region were the determinants of infant death in Ethiopia. Therefore, appropriate interventions need to be implemented in the hot spots to alleviate the risk factors for infant mortality.

Incidence of infant mortality and its predictors in East Africa using Gompertz gamma shared frailty model

Background

Globally, infant mortality is a major public health concern and a sensitive indicator of countries' socio-economic and health status. Despite the substantial reduction of under-five mortality in sub-Saharan African countries specifically in East Africa, the infant mortality rate remains highest and too far below to achieve the WHO target. As to our search of the literature is concerned, there is a dearth of evidence on the incidence and predictors of infant mortality in East Africa. Therefore, this study investigated the incidence of infant mortality and its predictors in East Africa.

Methods

The present study has utilized 138,803 weighted samples from Demographic and Health Surveys (DHSs) of 12 East African countries. Considering the hierarchical nature of DHS data shared frailty parametric survival models were fitted and compared based on deviance (-2LLR), AIC, and BIC. Gompertz gamma shared frailty model was the best-fitted model for the data since it had the lowest deviance, AIC, and BIC values. Variables with a p-value < 0.2 in the bi-variable analysis were considered for the multivariable analysis. In the multivariable Gompertz gamma shared analysis, the Adjusted Hazard Ratio (AHR) with 95% Confidence Interval (CI) was reported to declare the significant predictors of infant mortality.

Results

The infant mortality rate in East Africa was 41.41 per 1000 live births. Mothers aged 25–34 years, wanted birth, health facility delivery, 1–3 ANC visit, being 2nd- 4th birth order, 5th and above, the birth interval of 24–48 months, and birth interval of 49 months and above were significantly associated with lower risk of infant mortality. Whereas women who didn’t have formal education, women who didn't participate in making health care decisions making, being male children, cesarean delivery, small size at birth, and large size at birth were significantly associated with a higher risk of infant mortality.

Conclusion

Despite the substantial progress in improving maternal and child health, this study showed that infant mortality is still a major public health concern in East Africa. Maternal age, place of delivery, maternal education, birth size, sex of the child, mode of delivery, women's autonomy, birth order, birth interval, and ANC visit were found to be significant predictors of infant mortality. Therefore, public health interventions enhancing health facility delivery, ANC visit, maternal education, birth spacing, and empowering women are crucial for reducing the incidence of infant mortality in East Africa.

Factors associated with neonatal death among adolescent mothers

Abstract Objectives: to analyze factors associated with neonatal death among adolescent mothers. Methods: randomized hospital-based cross-sectional study in a tertiary institution,, data from the Sistema de Informação sobre Nascidos Vivos (Sinasc), (Live Birth Information System), Sistema de Informação sobre Mortalidade (SIM) (Mortality Information System), and medical records. The study population was comprised of 1,341 adolescents aged 10-19 who had assisted childbirth at the institution between 2012 to 2016. The independent variables were sociodemographic characteristics, care, prenatal, childbirth, birth, and newborn’s hospitalization, as well as the baby’s characteristics. Logistic regression analysis was carried out to assess the association between neonatal death and explanatory variables. Results: the factors associated with death were from the countryside or other States (OR=2.68; CI95% =1.24-5.81), Apgar scores lower than 7 in the 1st (OR= 9.52; CI95% = 4.15-21.81) and the 5th (OR=4.17; CI95%=1.53-11.34) minutes of life; and birth weight less than 999g (OR=13.37; CI95% =3, 64-49.04) and between 1,500 to 2,499g (OR=3.43; CI95%=1.37-8.58). Conclusions: apgar and low birth weight were associated with the neonatal death among adolescent mothers, as well as the fact they come from the countryside and other States. These findings show, in addition to classic risks, potential difficulties for adolescents in having access to healthcare services in their hometown. To reduce the risks, there is a need for restructuring the maternal and child healthcare network and ensure a social protection network for these girls.

[Infant mortality in Mato Grosso, Brazil: trend and causes of death between 2007 and 2016]

Geographical and temporal variations in infant mortality subsidize the process of planning and assessing maternal and child health. This is a time-series study that set out to analyze the trend of infant mortality in Mato Grosso and its health regions from 2007 to 2016 and to identify the distribution of causes of death according to age group and birth weight. For the trend analysis, the infant mortality rates stratified by causes of death between 2007 and 2016 were evaluated using polynomial regression models. There was a decreasing linear trend in infant mortality rates in the state, but individually only four of the 16 health regions followed this trend. Half of the deaths occurred in the early neonatal period. Causes avoidable by adequate attention to women during pregnancy and childbirth and to the newborn represented 51.1% of the deaths. There was an increasing tendency of proportional mortality for causes not manifestly avoidable. It is acknowledged that it is important to know the trend of rates in order to define priority population groups for early interventions that increase survival and reduce infant mortality. In addition, the investigation of deaths in the state should be implemented to establish the underlying cause.

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.

Residential inequality and spatial patterns of infant mortality in Ethiopia: evidence from Ethiopian Demographic and Health Surveys

Background

Despite the remarkable decrease in infant mortality rate in most countries, the rate of decline is slow and it remains unacceptably high in Sub-Saharan Africa. The progress in infant mortality in Ethiopia is far below the rate needed to achieve the Sustainable Development Goal. Understanding the residential inequality and spatiotemporal clusters of infant mortality is essential to prioritize areas and guide public health interventions. Therefore, this study aimed to investigate the residential inequality and spatial patterns of infant mortality in Ethiopia.

Methods

A secondary data analysis was done based on the Ethiopian demographic and health surveys conducted in 2000, 2005, 2011, and 2016. A total weighted sample of 46,317 live births was included for the final analysis. The residential inequality was assessed by calculating the risk difference in infant mortality rates between urban and rural live births and presented using a forest plot. For the spatial patterns of infant mortality, the SaTScan version 9.6 and ArcGIS version 10.6 statistical software were used to identify the spatial patterns of infant mortality.

Results

The study revealed that the infant mortality rate significantly declined from 96.9 per 1000 live births [95% CI 93.6, 104.2] in 2000 to 48.0 per 1000 live births [95% CI 44.2, 52.2] in 2016 with an annual rate of reduction of 3.2%. The infant mortality rate has substantial residential inequality over time, which is concentrated in the rural area. The spatial distribution of infant mortality was significantly clustered at the national level in survey periods (global Moran’s I, 0.04–0.081, p value < 0.05). In 2000, the most likely clusters were found in east Afar and at the border areas of south Amhara and north Oromia regions (LLR = 7.61, p value < 0.05); in 2005, at the border areas of Southern Nations Nationalities and People and in the entire Amhara region (LLR = 10.78, p value< 0.05); in 2011, at Southern Nations Nationalities and People and Gambella regions (LLR = 6.63, p value< 0.05); and in 2016, at east Oromia and northeast Somali regions (LLR = 8.38, p value < 0.05).

Conclusion

In this study, though infant mortality has shown remarkable reduction, infant mortality remains a major health care concern and had significant spatial variation across regions. Besides, the study found that infant mortality was highly concentrated in rural areas. Identifying the hotspot areas of infant mortality would help in designing effective interventions to reduce the incidence of infant mortality in these areas. Therefore, the findings highlighted that public health interventions should target rural areas and identified hotspot areas to reduce the incidence of infant mortality.

[Infant mortality in the Brazilian countryside: a proposal to overcome epidemiological and demographic invisibility]

The study aimed to compare two concepts of rurality, one proposed by the Brazilian Institute of Geography and Statistics (IBGE) and the other by the World Bank, to determine which is better fitted to the territory's reality, besides analyzing the infant mortality profile of rural municipalities (counties) in the state of Paraíba, Brazil, according to the best criterion for rurality. This was an observational epidemiological study conducted in the state of Paraíba. The method for analyzing rural/urban typologies was based on data mining, using the Apriori algorithm of association. Infant mortality was analyzed with descriptive statistics. The data were obtained from the Mortality Information System of the Brazilian Ministry of Health, from 2007 to 2016, and municipal indicators were from IBGE. The World Bank definition of rurality showed kappa = 0.337, compared to the IBGE definition, with kappa = 0.616. Among the 223 municipalities that were analyzed, the World Bank classified 130 (65.66%) correctly, and the IBGE 183 (82.06%). The predominant epidemiological profile of infant mortality in rural municipalities in Paraiba state was male gender (57.4%), brown skin color (61.1%), age from 0 to 7 days (52.4%), low birthweight (44%), and gestational age less than 37 weeks (43.2%). Underlying cause of death was classified as avoidable death via interventions by the Brazilian Unified National Health System (65.2%). The urban/rural typology adopted by the IBGE was better than the World Bank at classifying the municipalities in Paraiba state. This classification allowed studying the infant mortality profile in rural municipalities, which was similar to the overall profile, except for maternal schooling.

Um olhar sobre a vigilância dos óbitos fetais do Jaboatão dos Guararapes, Pernambuco, Brasil, em 2014

Resumo Este estudo teve por objetivo avaliar a completitude das fichas de investigação, os principais indicadores da Vigilância do óbito fetal do Jaboatão dos Guararapes, Pernambuco, e suas contribuições para o Sistema de Informações sobre Mortalidade (SIM). A população de estudo consistiu em todos os óbitos fetais ocorridos no ano de 2014, de residentes. Os dados foram obtidos das fichas de investigação do óbito e do banco do SIM. Foi analisada a completitude das fichas de 68 óbitos fetais e de 13 variáveis da Declaração de Óbitos (DO) antes e após a investigação. Em 2014, a taxa de mortalidade fetal foi de 10,3‰. Dos 102 óbitos, 86,3% (88) foram investigados, 67% (59) foram investigados antes de 120 dias. Apenas nove (10,2% dos óbitos investigados) foram discutidos. A ficha hospitalar foi a mais frequente e a síntese com maior completitude, e com pior preenchimento a ambulatorial. Houve retificações das 13 variáveis estudadas da DO. Os resultados mostraram que a vigilância do óbito fetal no Jaboatão dos Guararapes apresentou deficiências e dificuldades operacionais. Por outro lado, revelou a contribuição do processo investigativo na qualificação do SIM.