18 research outputs found

    Prevalence and determinants of acute diarrhea among children younger than five years old in Jabithennan District, Northwest Ethiopia, 2014

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    Abstract Background Despite the global decline in death rates of children younger than five years old, the risk of a child dying before turning five years of age remains highest in the WHO African Region. The problem of child death in Ethiopia is worse, with an Ethiopian child being 30 times more likely to die by his/her fifth birthday than a child in Western Europe. Therefore, the aim of this study was to assess the prevalence and factors associated with diarrhea among children younger than five years old. Methods A community-based, cross-sectional study was conducted with mothers who had children younger than five years old from April to June 2014. A multistage sampling procedure was used to select eligible women. The data were coded, entered, cleaned and analyzed with the SPSS software package, version 16. Results he data of 775 mothers were included in the analysis, and 21.5% of the children had diarrhea in the two weeks before the survey. The main factors affecting the occurrence of diarrhea were residence (Odds ratio (AOR) = 11.29, 95% Confidence interval (CI): 3.49-36.52), sex (AOR = 2.52, 95% CI:1.28-4.93), methods of complementary feeding (AOR = 50.88, 95% CI: 23.85- 108.54), types of water storage equipment (AOR = 19.50, 95% CI: 8.11-46.90), and cleansing materials used to wash hands (AOR = 5.53, 95% CI: 2.19-13.99). Conclusion Approximately one-fifth of the children included in the study reported diarrheal disease. Residence, sex of the child, type of water storage container, methods of complementary feeding, and cleansing materials to wash the hands were the most important variables that affected the occurrence of diarrhea in children. Therefore, families, the government and nongovernmental organizations working in the area must cooperate in interventions and prevention to minimize the risk of disease

    Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

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    A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

    Spatial variations and determinants of anemia among under-five children in Ethiopia, EDHS 2005-2016.

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    BackgroundAnemia has severe public health significance in sub-Saharan Africa. In Ethiopia, anemia has been increasing in the last two decades, reaching the highest national level in 2016, however, the geospatial distribution and determinants of anemia in children weren't well explored at a national level.MethodsWe used the Ethiopian Demographic and Health Survey(EDHS) data from 2005-2016. The data consists of samples of households (HHs) obtained through a two-stage stratified sampling procedure. Our analysis included 19,699 children. Descriptive statistics, geospatial analysis, and Generalized Linear Mixed Model (GLMMs) were used.ResultsThe overall prevalence of anemia was 51.5%; the spatial distribution of anemia significantly different across clusters in each survey. Children from 6 to 11 months had higher odds of anemia compared to 24-59 months (Adjusted Odds ratio (AOR) = 3.4, 95%Confidence level (CI): 2.99-3.76). Children with the first and second birth order were less likely to be anemic compared to fifth and above (AOR = 0.60, 95%CI: 0.38-0.95, and AOR = 0.83, 95%C: 0.73-0.93) respectively. Mothers' age 15 to 24 years was associated with higher odds of anemia compared to 35 to 49 years (AOR = 1.37, 95%CI: 1.20-1.55). Children from HHs with the poorest and poorer wealth category showed a higher odds of anemia compared to the richest (AOR = 1.67, 95%CI: 1.45-1.93, and AOR = 1.25, 95%CI: 1.08-1.45) respectively. Moreover, children from HHs with one to two under-five children were less likely to be anemic compared to those three and more (AOR = 0.83, 95%CI: 0.76-0.91).ConclusionsThe geospatial distribution of anemia among children varies in Ethiopia; it was highest in the East, Northeast, and Western regions of the country. Several factors were associated with anemia; therefore, interventions targeting the hotspots areas and specific determinant factors should be implemented by the concerned bodies to reduce the consequences of anemia on the generation

    Development and internal validation of a clinical risk score for in-hospital mortality after stroke: a single-centre retrospective cohort study in Northwest Ethiopia

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    Objective To develop and validate a clinical risk score for in-hospital stroke mortality.Design The study used a retrospective cohort study design.Setting The study was carried out in a tertiary hospital in the Northwest Ethiopian region.Participants The study included 912 patients who had a stroke admitted to a tertiary hospital between 11 September 2018 and 7 March 2021.Main outcome measures Clinical risk score for in-hospital stroke mortality.Methods We used EpiData V.3.1 and R V.4.0.4 for data entry and analysis, respectively. Predictors of mortality were identified by multivariable logistic regression. A bootstrapping technique was performed to internally validate the model. Simplified risk scores were established from the beta coefficients of predictors of the final reduced model. Model performance was evaluated using the area under the receiver operating characteristic curve and calibration plot.Results From the total stroke cases, 132 (14.5%) patients died during the hospital stay. We developed a risk prediction model from eight prognostic determinants (age, sex, type of stroke, diabetes mellitus, temperature, Glasgow Coma Scale, pneumonia and creatinine). The area under the curve (AUC) of the model was 0.895 (95% CI: 0.859–0.932) for the original model and was the same for the bootstrapped model. The AUC of the simplified risk score model was 0.893 (95% CI: 0.856–0.929) with a calibration test p value of 0.225.Conclusions The prediction model was developed from eight easy-to-collect predictors. The model has excellent discrimination and calibration performance, similar to that of the risk score model. It is simple, easily remembered, and helps clinicians identify the risk of patients and manage it properly. Prospective studies in different healthcare settings are required to externally validate our risk score

    Time to development of adverse drug reactions and associated factors among adult HIV positive patients on antiretroviral treatment in Bahir Dar City, Northwest Ethiopia

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    <div><p>Background</p><p>Adverse drug reactions (ADRs) are harmful and unintended reactions to medicines given at standard doses. Although the antiretroviral treatment (ART) changed the global HIV epidemic significantly, it’s associated adverse events is huge. Therefore, investigating the rate and development of ADRs of ART provides vital information for monitoring risks.</p><p>Methods</p><p>Retrospective study was conducted among patients on ART from July1/2011—June 30/2016 at Felege Hiwot referral hospital. Data were collected using checklist and document review. The p-value and hazard ratio with its confidence interval was used to show presence and strength of association.</p><p>Results</p><p>A total of 602 subjects were studied. The rate of occurrence of major ADRs was 4.3/100PY. Patients with no formal and completed primary education were at higher risk of developing ADRs compared to those with higher level education [AHR = 8, 95% CI: 2.53–25.20, AHR = 4.9, 95% CI: 1.65–14.44]. The risks of ADRs among patients working in NGOs were more than four times compared to those in governmental organizations [AHR = 4.3, 95% CI: 1.42–13.31]. The risks of ADRs in WHO clinical stage II, III and IV were much higher than in stage I [AHR = 4, 95% CI: 1.33–11.93, AHR = 5.3, 95% CI: 2.02–13.79 and AHR = 7, 95% CI: 2.51–20.10] respectively. Moreover, patients didn’t receive OI prophylaxis were more three times at risk of ADRs compared to those received [AHR = 3.2, 95% CI: 1.47–7.08].</p><p>Conclusions</p><p>Most of the ADRs cases were occurred within a year after initiation of ART. Educational status, occupation, advanced clinical stage and OI prophylaxis therapy were predictors ADRs. Continuous counseling for non-educated patients and clients in clinical stage II and above, and patients didn’t take OI prophylaxis need to get close follow up to prevent the associated ADRs by the concerned parties.</p></div

    Cox regression analysis between different predictor variables and time to the development of ADRs among adult HIV positive patients on HAART regimen at Felege Hiwot Referral Hospital, July 2011 to June 2016 (n = 602).

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    <p>Cox regression analysis between different predictor variables and time to the development of ADRs among adult HIV positive patients on HAART regimen at Felege Hiwot Referral Hospital, July 2011 to June 2016 (n = 602).</p

    Kaplan Meier curves for time to the development of ADRs among HIV patients on ART, Felege Hiwot Referral hospital, 2011–2016 classified by WHO clinical stage.

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    <p>Kaplan Meier curves for time to the development of ADRs among HIV patients on ART, Felege Hiwot Referral hospital, 2011–2016 classified by WHO clinical stage.</p

    Clinical and immunological characteristics of HIV positive adults at initiation of HAART at Felege Hiwot Referral Hospital, July 2011 to June 2016 (n = 602).

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    <p>Clinical and immunological characteristics of HIV positive adults at initiation of HAART at Felege Hiwot Referral Hospital, July 2011 to June 2016 (n = 602).</p
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