8 research outputs found

    Demographic Data for Development Decisionmaking: Case Studies From Ethiopia and Uganda

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    Analyzes the lack of demographic and socioeconomic data, limited access to and use of existing data, and insufficient demand for their application in policy making and resource allocation. Makes recommendations for greater access, demand, and use of data

    Role of platelet parameters in early detection and prediction of severity of preeclampsia: A comparative cross-sectional study at Ayder comprehensive specialized and Mekelle general hospitals, Mekelle, Tigray, Ethiopia.

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    BackgroundPlatelet parameters alterations are one of the most commonly identified hematological changes in preeclampsia (PE). However, their functions as a tool for prediction and prognosis of PE have not been extensively studied in developing countries. The aim of this study was to compare platelet count (PC), and platelet indices (mean platelet volume (MPV), platelet distribution width (PDW), and platelet large cell ratio (PLCR)) between preeclamptic and normotensive (NT) pregnant women and assess their role in diagnosis and prediction of PE development.MethodsA cross sectional comparative study was conducted at Ayder comprehensive specialized hospital (ACSH) and Mekelle general hospital (MGH) from January to March 2017. Platelet parameters of mild preeclamptic (mPE) (n = 35), severe preeclamptic (sPE) (n = 44) and NT pregnant women (n = 140) were analyzed using SYSMEX-XT 4000i automated hematology analyzer. One-way ANOVA supplemented with post-hoc test, receiver operating characteristics (ROC) curve and pearson correlation test statistical analyses were performed. P ResultPregnant women with sPE had lower PC as compared with that of mPE and NT women (p9.45fl, sensitivity of 83.5%, specificity of 86.4%, positive predictive value of 77.6% and negative predictive value of 90.3%.ConclusionMPV and PC were identified as good candidates for sPE diagnosis. Because evaluation of platelet parameters is rapid, reliable and economical, they can be utilized as an alternative biomarker for prediction and prognosis of PE

    Multilevel analysis of quality of antenatal care and associated factors among pregnant women in Ethiopia: a community based cross-sectional study

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    Objective To determine the magnitude of quality of antenatal care and associated factors among pregnant women in Ethiopia.Design A community-based cross-sectional study.Setting Ethiopia.Participants A total of 4757 weighted sample of pregnant women from 18 January 2016 to 27 June 2016, were included for this analysis.Outcome Quality of antenatal care (ANC).Methods Our analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey. The quality of ANC was measured when all six essential components, such as blood pressure measurements, blood tests, urine tests, nutrition counselling, birth preparation advice during pregnancy and information on potential complications, were provided. Stata V.14 software was used for analysis. A multilevel mixed-effect logistic regression analysis was fitted. Adjusted OR (AOR) with 95% CIs was used to show the strength and direction of the association. Statistical significance was declared at a p value less than 0.05.Results The magnitude of quality of ANC in Ethiopia was 22.48% (95% CI: 21.31% to 23.69%). Educational status; primary (AOR=1.34; 95% CI: 1.06 to 1.68) and secondary (AOR=2.46; 95% CI: 1.76 to 3.45), middle (AOR=1.31; 95% CI: 1.01 to 1.72) and rich (AOR=2.08; 95% CI: 1.59 to 2.72) wealth status, being married (AOR=2.34; 95% CI: 1.08 to 5.10) and four or more ANC (AOR=2.01; 95% CI: 1.67 to 2.40) were statistically significant associated factors of quality ANC in Ethiopia.Conclusions This study found that nearly only one in five pregnant women received quality ANC during pregnancy. To improve the quality of ANC in Ethiopia, Ministry of Health and health facilities are needed to increase financial support strategies that enable pregnant women from poor households to use health services and enhance pregnant women’s understanding of the significance of quality of ANC through health education. Additionally, Community health workers should also be placed on supporting unmarried pregnant women to have quality ANC

    Individual and community level predictors of women’s autonomy in health care decision-making among youth in East African countries: a multilevel analysis

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    Objective The autonomy of young women in healthcare decision-making has been reported to be lower, particularly in low-income and middle-income countries. This study was conducted to estimate the magnitude and the factors associated with autonomy in healthcare decision-making among youth in East African countries.Design and setting A population-based, cross-sectional study was conducted with data from the most recent Demographic and Health Surveys conducted in 11 East African countries (Burundi, Ethiopia, Kenya, Comoros, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe) conducted from 2011 to 2019.Participants Weighted sample of 24 135 women aged 15–24 years.Primary outcomes Healthcare decision-making autonomy.Methods A multi-level logistic regression model was used to identify factors associated with women’s autonomy in making decisions about their healthcare. Statistical significance was determined using an adjusted OR with 95% CI at a p value less than 0.05.Results Healthcare decision-making autonomy among youth in East Africa was 68.37% (95% CI 68%, 70%). In a multivariable analysis older aged youths (20–24 years) (adjusted OR (AOR)=1.27; 95% CI 1.19, 1.36), youths having an occupation (AOR=1.34; 95% CI 1.25, 1.53), having employed husband (AOR=1.12 95% CI 1.00, 1.26), exposure to media (AOR=1.18 95% CI 1.08, 1.29), rich wealth index 1.18 (AOR=1.18 95% CI 1.08, 1.29), female household head, youths having secondary and higher education, youths whose husband had secondary and higher education, and country were significant predictors of healthcare decision making autonomy.Conclusion Almost one-third of young women have no autonomy in healthcare decision-making. Older youth, being educated, having an educated husband, having an occupation, having an employed husband, exposure to media, female household head, rich wealth index and country are significant predictors for being autonomous in healthcare decision-making. Public health interventions should target uneducated and unemployed youth, poor families and those without media exposure to increase autonomy in health decisions

    Multilevel analysis of factors associated with untreated diarrhea among under five children in Ethiopia using Ethiopian demographic and health survey

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    Abstract Diarrhea refers to the abrupt onset of three or more loose or liquid stools per day. It is the second leading cause of death in infants worldwide. It is an endemic disease and continues to be a serious threat to children in Ethiopia. Despite being a condition that may be prevented, diarrhea can have a negative impact on a child's health. Also, studies have not been able to explore the role of socio-economic characteristics in hindering the treatment. Therefore, this study aimed to explore socio-economic factors that influence treatment of childhood diarrhea. Secondary data analysis was conducted based on the demographic and health surveys data conducted in Ethiopia. A total weighted sample of 1227 under-five children was included for this study. Mixed-effect binary logistic regression analysis was done to identify associated factors of untreated diarrhea. Adjusted Odds Ratio with 95% CI was used to declare the strength and significance of the association. Prevalence of untreated diarrhea among under five children in Ethiopia was 57.32% (95% CI 54.52–60.06%). In the mixed-effect analysis; Children aged 6–11, 12–23, and 24–35 (AOR 0.384, 95% CI 0.187–0.789), 71% (AOR 0.29, 95% CI 0.149–0.596), and 51% (AOR 0.49, 95% CI 0.238–0.995). Children from family number six and above (AOR 1.635, 95% CI 1.102–2.426). Children from middle wealth of family (AOR 1.886, 95% CI 1.170–3.3040). Children from a community with high level of uneducated (AOR 2.78, 95% CI 1.065–3.442) were significantly associated with untreated diarrhea. The prevalence of untreated diarrhea among under-five children in Ethiopia is high. Age of child, family number, household wealth, and community-level educational status were significantly associated with untreated diarrhea among under-five children in Ethiopia. Hence, increasing community educational status, boosting the economic status of the community, and family planning for the community should get due attention
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