scholarly journals Effect of maternal age on facility-based delivery: analysis of first-order births in 34 countries of sub-Saharan Africa using demographic and health survey data

BMJ Open ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. e020231 ◽  
Author(s):  
Catherine L Dunlop ◽  
Lenka Benova ◽  
Oona Campbell
Keyword(s):  
Survey Data ◽  
Health Survey ◽  
Maternal Age ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
First Order ◽  
Health Survey Data ◽  
Sub Saharan

scholarly journals HIV knowledge and associated factors among young Ethiopians: application of multilevel order logistic regression using the 2016 EDHS

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Teshome Kabeta Dadi ◽  
Merga Belina Feyasa ◽  
Mamo Nigatu Gebre
Keyword(s):  
Logistic Regression ◽  
Survey Data ◽  
Health Survey ◽  
Statistical Significance ◽  
Insurance Coverage ◽  
Mobile Telephone ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Hiv Knowledge ◽  
Health Survey Data

Abstract Background Human Immunodeficiency virus continues to be a major global health problem infecting 75 million and killing 32 million people since the beginning of the epidemic. It badly hit Sub Saharan Africa than any country in the world and youths are sharing the greatest burden. The study aims to assess the level of HIV-knowledge and its determinants among Ethiopian youths using the 2016 Ethiopia Demographic and Health Survey data. Methods A nationally representative 2016 Ethiopian Demographic and Health Survey data were used. A total of 10,903 youths comprising 6401 females and 4502 males were included in the study. Descriptive statistics and multilevel order logistic regression were used and confidence interval was used to declare statistical significance in the final model. Results The mean age and SD of youths included in this study was 19.10 (±2.82). Among Ethiopian youths, 20.92% (95% CI: 18.91, 23.09%) had low knowledge of HIV whereas, 48.76% (95% CI: 47.12, 50.41%) and 30.31% (95% CI: 28.51, 32.18%) of them had moderate and comprehensive HIV knowledge respectively. Being male, access to TV and radio, ever tested for HIV/AIDS, owning a mobile telephone, and attending primary school and above compared to non-attendants were associated with having higher HIV knowledge. But, dwelling in rural Ethiopia, being in the Protestant and Muslim religious groups as compared to those of Orthodox followers and being in married groups were associated with having lower HIV knowledge. Approximately, 12% of the variation in knowledge of HIV was due to regions. Conclusion Only one-third of Ethiopian youths have deep insight into the disease, whereas, nearly one-fifth of them have lower HIV-knowledge. There is a significant disparity in HIV-related knowledge among Ethiopian youths living in different regions. Rural residents, less educated, female, and married youths have less knowledge of HIV as compared to their counterparts. Youths who do not have a mobile phone, who lack health insurance coverage, and who have limited access to media have less knowledge about HIV. Therefore, the due focus should be given to the aforementioned factors to minimize the disparities between regions and to enhance Ethiopian youths’ HIV-knowledge.

scholarly journals A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa

2020 ◽  
Vol 17 (9) ◽  
pp. 3070 ◽  
Author(s):  
Samuel Manda ◽  
Ndamonaonghenda Haushona ◽  
Robert Bergquist
Keyword(s):  
Spatial Analysis ◽  
Survey Data ◽  
Spatial Statistics ◽  
National Health ◽  
Health Survey ◽  
Scoping Review ◽  
Health Surveys ◽  
Sub Saharan Africa ◽  
Health Survey Data ◽  
Sub Saharan

Spatial analysis has become an increasingly used analytic approach to describe and analyze spatial characteristics of disease burden, but the depth and coverage of its usage for health surveys data in Sub-Saharan Africa are not well known. The objective of this scoping review was to conduct an evaluation of studies using spatial statistics approaches for national health survey data in the SSA region. An organized literature search for studies related to spatial statistics and national health surveys was conducted through PMC, PubMed/Medline, Scopus, NLM Catalog, and Science Direct electronic databases. Of the 4,193 unique articles identified, 153 were included in the final review. Spatial smoothing and prediction methods were predominant (n = 108), followed by spatial description aggregation (n = 25), and spatial autocorrelation and clustering (n = 19). Bayesian statistics methods and lattice data modelling were predominant (n = 108). Most studies focused on malaria and fever (n = 47) followed by health services coverage (n = 38). Only fifteen studies employed nonstandard spatial analyses (e.g., spatial model assessment, joint spatial modelling, accounting for survey design). We recommend that for future spatial analysis using health survey data in the SSA region, there must be an improve recognition and awareness of the potential dangers of a naïve application of spatial statistical methods. We also recommend a wide range of applications using big health data and the future of data science for health systems to monitor and evaluate impacts that are not well understood at local levels.

scholarly journals HIV and cardiovascular disease in sub-Saharan Africa: Demographic and Health Survey data for 4 countries

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Leonard E. Egede ◽  
Rebekah J. Walker ◽  
Patricia Monroe ◽  
Joni S. Williams ◽  
Jennifer A. Campbell ◽  
...  
Keyword(s):  
South Africa ◽  
Cardiovascular Disease ◽  
Health Survey ◽  
Survey Design ◽  
Logistic Models ◽  
Population Data ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Sub Saharan ◽  
The Relationship

Abstract Background Investigate the relationship between two common cardiovascular diseases and HIV in adults living in sub-Saharan Africa using population data provided through the Demographic and Health Survey. Methods Data for four sub-Saharan countries were used. All adults asked questions regarding diagnosis of HIV, diabetes, and hypertension were included in the sample totaling 5356 in Lesotho, 3294 in Namibia, 9917 in Senegal, and 1051 in South Africa. Logistic models were run for each country separately, with self-reported diabetes as the first outcome and self-reported hypertension as the second outcome and HIV status as the primary independent variable. Models were adjusted for age, gender, rural/urban residence and BMI. Complex survey design allowed weighting to the population. Results Prevalence of self-reported diabetes ranged from 3.8% in Namibia to 0.5% in Senegal. Prevalence of self-reported hypertension ranged from 22.9% in Namibia to 0.6% in Senegal. In unadjusted models, individuals with HIV in Lesotho were 2 times more likely to have self-reported diabetes (OR = 2.01, 95% CI 1.08–3.73), however the relationship lost significance after adjustment. Individuals with HIV were less likely to have self-reported diabetes after adjustment in Namibia (OR = 0.29, 95% CI 0.12–0.72) and less likely to have self-reported hypertension after adjustment in Lesotho (OR = 0.63, 95% CI 0.47–0.83). Relationships were not significant for Senegal or South Africa. Discussion HIV did not serve as a risk factor for self-reported cardiovascular disease in sub-Saharan Africa during the years included in this study. However, given the growing prevalence of diabetes and hypertension in the region, and the high prevalence of undiagnosed cardiovascular disease, it will be important to continue to track and monitor cardiovascular disease at the population level and in individuals with and without HIV. Conclusions The odds of self-reported diabetes in individuals with HIV was high in Lesotho and low in Namibia, while the odds of self-reported hypertension in individuals with HIV was low across all 4 countries included in this study. Programs are needed to target individuals that need to manage multiple diseases at once and should consider increasing access to cardiovascular disease management programs for older adults, individuals with high BMI, women, and those living in urban settings.

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