Spatial distribution and associated factors of poor tetanus toxoid immunization among pregnant women in Ethiopia: spatial and multilevel analysis

BackgroundNeonatal mortality from tetanus can be reduced by 94% when pregnant women receive at least two doses of tetanus toxoid. In Ethiopia, immunization programs are suboptimal despite their importance. Therefore, the aim of this study was to examine the geographic distribution and associated factors of poor tetanus toxoid (TT) immunization among pregnant women in Ethiopia.MethodsSecondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). ArcGIS version 10.8 statistical software was used to explore the spatial distribution of poor TT immunization and SaTScan version 9.6 software was used to identify significant hotspot areas of poor TT immunization. For associated factors, a multilevel binary logistic regression model was fitted using STATA version 14 software. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of poor TT immunization.ResultIn Ethiopia, the spatial distribution of poor tetanus toxoid immunization was clustered with Global Moran's I = 0.59 at p-value of <0.0001. The highest poor TT immunization clusters were observed in the East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Pregnant women with no Antenatal care (ANC) visits [Adjusted Odds Ratio (aOR) = 10.46, 95% CI: (8.82, 12.41))], pregnant women with 1–3 ANC visits [aOR = 1.51, 95% CI: (1.31, 1.73)], media exposure [aOR = 1.45, 95% CI: (1.26, 1.67)], poor wealth index [aOR = 1.22; 95% CI: (1.03, 1.45)], middle wealth index [aOR = 1.23; 95% CI: (1.03, 1.47)], family planning use [aOR = 1.28; 95% CI: (1.11, 1.57)] and community level education [aOR = 1.43, 95% CI: (1.14, 1.80)] were significantly associated with poor tetanus toxoid immunization.ConclusionPoor tetanus toxoid immunization among pregnant women varies in Ethiopia. It was highest in East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Therefore, public health programs should design targeted interventions in identified hot spots to improve tetanus toxoid immunization. Health programmers should be promoting optimal ANC visits, women's education, and family planning use

The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

Urban-rural inequalities and spatial arrangement of informed choice of family planning in Ethiopia: Further analysis of 2016 Ethiopian demographic health survey.

BackgroundEthiopia has made satisfactory progress in improving maternal and child health over the past two decades. The introduction of family planning through informed choice is one of the main strategies to improve maternal and child health. However, this positive progress may have masked the significant urban-rural disparities in informed choice for family planning.ObjectiveTo identify factor contributing to observed urban-rural disparities and to determine the spatial distribution of informed family planning choices in Ethiopia.MethodsThe study used information from 3,511 women currently using contraceptives (rural-2685 and urban-826) as per recent Ethiopian demographic health survey cross-sectional data. Spatial and descriptive, bivariable, and multivariable logit-based decomposition analysis methods were used.ResultsThe spatial configuration of uninformed choice was clustered. The primary cluster (LLR = 34.8, p-valueConclusionThe variables being private health facility visitors, being aged between 35 and 49 years and having visited health facilities in the last one year are found to increase the gap of informed family planning choices between urban and rural residents Besides, the spatial distribution of uninformed family planning choices is non-random

Assessing postnatal care for newborns in Sub-Saharan Africa: A multinational analysis.

BackgroundNo doubt providing optimal postnatal care (PNC) prevents both maternal and neonatal deaths, in addition to the prevention of long-term complications. Sub-Saharan Africa (SSA) had the highest neonatal mortality rate, despite this adequate content of PNC for the newborn is not explored in SSA, therefore, it is important to identify the factors affecting adequate content of PNC for the newborn in the region. This may assist the program and policymakers to give an intervention based on the findings of the study.MethodsA secondary data analysis was performed using 21 SSA countries' Demographic and Health Surveys. A total weighted sample of 105,904 respondents were included in this study. A multilevel binary logistic regression model was fitted. The odds ratios along with the 95% confidence interval were generated to determine the individual and community-level factors of adequate PNC for the newborn. A p-value less than 0.05 was declared as statistical significance.ResultsAdequate PNC for newborns in sub-Saharan Africa was 23.51% (95% CI: 23.26, 23.77). Mothers age ≥ 35(AOR  =  1.21,95% CI: 1.06,1.16), mothers' primary education (AOR  = 1.18, 95% CI: 1.13, 1.23), secondary education (AOR  = 1.58, 95% CI:1.51,1.66), higher education (AOR  = 1.61,95% CI:1.49,1.75), rich wealth status (AOR  = 1.05,95% CI = 1.01,1.10), ANC visits 1-7 (AOR  = 1.61,95% CI:1.51, 1.73), antenatal care (ANC) visit 8 and above (AOR  = 2.54,95% CI: 2.32, 2.77), health facility delivery (AOR  = 4.37, 95% CI:4.16,4.58), lived in east (AOR = 0.23,95% CI = (0.20,0.26), central(AOR = 0.21,95% CI = 0.19,0.24), west African sub-regions (AOR = 0.23,95% CI = 0.21, 0.27), Urban dwellers (AOR = 1.22,95% CI: 1.17,1.27), and low community poverty (AOR = 1.21 (95% CI = 1.11,1.31) were associated with adequate content of PNC for the newborn.ConclusionThe finding of this study showed that the overall prevalence of adequate content of PNC for a newborn in SSA countries was low. The low prevalence of adequate content of postnatal care for newborns in SSA countries is a concerning issue that requires immediate attention. Age of the respondents, level of education, wealth status, ANC visits, place of delivery, residence, community-level poverty, and sub-region of SSA were the individual-level and the community-level variables significantly associated with adequate PNC for the newborn. Strategies should focus on increasing access to antenatal care services, particularly for vulnerable populations, such as younger mothers, those with lower education levels, and individuals residing in impoverished communities to improve PNC for the newborn

Knowledge of prevention of mother-to-child transmission of HIV among reproductive age women in high HIV/AIDS prevalent countries: A multilevel analysis of recent Demographic and Health Surveys.

BackgroundA lack of enough knowledge about the mother-to-child transmission (MTCT) of the human immunodeficiency virus (HIV) among reproductive-age women is thought to be a key contributor to new pediatric HIV infections worldwide, and rising HIV-related infant mortality, particularly in resource-limited countries. Knowledge of MTCT of HIV is key to halt the progression of HIV/AIDS. Therefore, this study aimed to assess knowledge of MTCT of HIV and its associated factors among reproductive-age women in high HIV/AIDS prevalent countries.MethodsA secondary data analysis was performed using 8 HIV/AIDS prevalent countries' Demographic and Health Surveys. A total weighted sample of 97,130 respondents was included in this study. Stata 17 was used for data extraction, coding, and analysis. A multilevel binary logistic regression model was fitted. The odds ratios along with the 95% confidence interval were generated to determine the factors of good knowledge of MTCT of HIV among reproductive-age women. A 95% confidence interval and a p-value of less than 0.05 were used to declare statistical significance.ResultsThe prevalence of good knowledge of MTCT HIV was 57.89% (95% CI: 57.67,58.29). Mothers aged 25-34 (AOR  =  1.37, 95% CI = 1.32, 1.42), 35 and above(AOR  =  2.46,95% CI = 1.41, 1.52), mothers' primary education (AOR  = 1.32, 95% CI = 1.26, 1.38),), secondary education (AOR  = 1.65,95% CI = 1.56, 1.74), higher education (AOR  = 1.72,95% CI = 1.58,1.86), exposed to mass media (AOR  = 1.12, 95% CI = 1.08,1.16) rich wealth status (AOR  = 1.11 (95% CI = 1.06,1.15), talked about MTCT (AOR  = 1.70,95% CI = 1.64, 1.76), visited by field worker (AOR  = 1.09, 95% CI = 1.03,1.14), health facility visit (AOR  = 1.15, 95% CI = 1.11, 1.18), urban dwellers (AOR = 1.09, 95% CI = 1.04,1.14), ever tested for HIV(AOR = 2.18 (95% CI = 2.10,2.27), currently working status (AOR = 1.15, 95% CI = 1.12,1.19) were factors associated with good knowledge of MTCT of HIV/AIDS among reproductive age women.ConclusionsOverall, the prevalence of good knowledge of MTCT was low in high HIV/AIDS prevalent countries. Maternal age, primary education and above, exposed to media, having higher wealth status, talked about MTCT during ANC visits, being visited by a field worker, visited a health facility, currently working, living in the urban area, and ever been tested for HIV were positively associated with knowledge of MTCT. Health policy and programs should focus on educating mothers, encouraging women to contact health facilities and a well-targeted communications program is required to enhance knowledge of MTCT of HIV

Factors associated with the plan to pre-lacteal feeding for the first 6 months among Ethiopian mothers: a multilevel mixed effects analysis of 2019 performance monitoring for action Ethiopia

Abstract Introduction Despite efforts to promote exclusive breastfeeding for the first six months of life, pre-lacteal feeding remains prevalent in Ethiopia. The study will use data from the 2019 Performance Monitoring for Action Ethiopia (PMA-ET), which is a nationally representative survey that collects information on maternal and child health indicators. Therefore, this study aims to identify individual and community-level factors associated with the plan to pre-lacteal feeding for the first six months among mothers in Ethiopia. Methods The datasets from the 2019 Performance Monitoring for Action Ethiopia Survey were analyzed in this study, which included 685 mothers from the survey. Stata version 17.0 was used for data analysis. Multi-level mixed-effect logistic regression was utilized to identify individual and community-level factors that are linked with the plan to pre-lacteal feeding. The strength and direction of the association were presented using an adjusted odds ratio with a 95% confidence interval, and statistical significance was declared at a P value less than 0.05. Results The study found that factors significantly associated with the plan to pre-lacteal feeding included mothers without higher education (AOR = 2.5, 95% CI: 1.204–1.204), mothers belonging to poor households (AOR = 11.1, 95% CI: 3.482–35.175), and women in clusters with poor wealth status (AOR = 0.2, 95% CI: 0.043–0.509). Conclusion As per the findings of the study, both individual and community-level factors were found to influence the decision to practice pre-lacteal feeding. Educational status and household wealth were significant individual-level factors associated with pre-lacteal feeding, whereas community wealth status was a significant community-level factor. To address this issue, it is recommended to focus on increasing the education level of mothers from lower socioeconomic backgrounds and providing education on the benefits of exclusive breastfeeding and the risks associated with pre-lacteal feeding. These efforts can help in reducing the prevalence of this harmful practice

Socio-demographic and other characteristics of respondents in SSA, 2023 (n = 105904).

Socio-demographic and other characteristics of respondents in SSA, 2023 (n = 105904).</p

Sample size for adequate content of PNC for the newborn in SSA countries for each country, 2023.

Sample size for adequate content of PNC for the newborn in SSA countries for each country, 2023.</p

Child characteristics in SSA countries, 2023 (n = 105904).

Child characteristics in SSA countries, 2023 (n = 105904).</p