Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia.

In developing countries, one-quarter of young women have suffered from anemia. However, the available studies in Ethiopia have been usually used the traditional stastical methods. Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of anemia among youth girls in Ethiopia. A total of 5642 weighted samples of young girls from the 2016 Ethiopian Demographic and Health Survey dataset were utilized. The data underwent preprocessing, with 80% of the observations used for training the model and 20% for testing. Eight machine learning algorithms were employed to build and compare models. The model performance was assessed using evaluation metrics in Python software. Various data balancing techniques were applied, and the Boruta algorithm was used to select the most relevant features. Besides, association rule mining was conducted using the Apriori algorithm in R software. The random forest classifier with an AUC value of 82% outperformed in predicting anemia among all the tested classifiers. Region, poor wealth index, no formal education, unimproved toilet facility, rural residence, not used contraceptive method, religion, age, no media exposure, occupation, and having more than 5 family size were the top attributes to predict anemia. Association rule mining was identified the top seven best rules that most frequently associated with anemia. The random forest classifier is the best for predicting anemia. Therefore, making it potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt anemia among youth girls.

MORTALITY AND ASSOCIATED FACTORS AMONG INTENSIVE CARE UNIT ADMITTED ADULT PATIENTS WITH MECHANICAL VENTILATION IN ETHIOPIA: A SYSTEMATIC REVIEW AND META-ANALYSIS.

ABSTRACT: Introduction: The global demand for intensive care has risen, given its effectiveness in lowering mortality rates. Mechanical ventilation (MV) is integral to intensive care but introduces risks such as ventilator-associated complications. Ethiopia experiences a high intensive care unit (ICU) mortality rate. Objective: This systematic review and meta-analysis aim to comprehensively synthesize evidence on the mortality of adults undergoing MV in Ethiopia and identify associated factors. Methods: The study extensively searched databases and gray literature for research on MV outcomes, trends, and associated factors in adult ICUs. Adhering to the 2020 PRISMA checklist, a systematic review and meta-analysis sought to establish the mortality rate and key determinants among adult ICU patients on MV. The search incorporated keywords and MeSH terms, excluding studies with unsound methodologies or missing data. Data extraction, quality assessment, and analysis followed established protocols, including the JBI tool for methodological quality evaluation. STATA version 17.0 facilitated analysis, assessing heterogeneity, publication bias, and performing sensitivity and meta-regression analyses. Results: The pooled mortality rate among adult ICU patients undergoing MV was 48.61% (95% CI: 40.82, 56.40%). Significant mortality-contributing factors included medical diagnosis, Glasgow Coma Scale score, sepsis/septic shock, sedation use, multiple-organ dysfunction syndrome, and cardiovascular disease. Although some pooled odds ratios seemed insignificant, closer examination revealed significant associations in individual studies. Conclusion : The study underscores the urgent need for further research, improved ICU infrastructure, and healthcare personnel training in Ethiopia to enhance outcomes for mechanically ventilated patients. Identified factors offer valuable insights for targeted interventions, guiding tailored treatment strategies to reduce mortality. This study contributes to understanding mortality and associated factors in MV patients, informing initiatives to improve critical care outcomes in Ethiopia.

Incidence and predictors of attrition among human immunodeficiency virus infected children on antiretroviral therapy in Amhara comprehensive specialized hospitals, Northwest Ethiopia, 2022: a retrospective cohort study.

Attrition rate is higher in developing nations and it leftovers a major obstacle to enhance the benefits of therapy and achieve the 90-90-90 plan targets. Despite this fact, data on the incidence and its predictors of attrition among human immune deficiency virus infected children on antiretroviral therapy are limited in developing countries including Ethiopia especially after the test and treat strategy implemented. This study aimed to assess the incidence and predictors of attrition among human immune deficiency virus infected children on antiretroviral therapy in Amhara Comprehensive Specialized Hospitals, Northwest Ethiopia. A retrospective follow-up study was conducted among 359 children on ART from June 14, 2014, to June 14, 2022. Study participants were selected using simple random sampling method and the data were collected using Kobo Toolbox software and analysis was done by STATA version 14. Both bi-variable and multivariable Cox regression models were fitted to ascertain predictors. Lastly, an AHR with a 95% CI was computed and variables with a p-value of < 0.05 were took an account statistically key predictors of attrition. The overall incidence of attrition rate was 9.8 (95% CI 7.9, 11.9) per 100 PYO. Children having baseline hemoglobin < 10 mg/dl (AHR 3.94; 95% CI 2.32, 6.7), suboptimal adherence (AHR 1.96; 95% CI 1.23, 3.13), baseline opportunistic infection (AHR 1.8; 95% CI 1.17, 2.96), and children who had experienced drug side effects (AHR 8.3; 95% CI 4.93, 13.84) were established to be a significant predictors of attrition. The attrition rate was relatively high. Decreased hemoglobin, suboptimal adherence, presence of drug side effects and baseline opportunistic infection were predictors of attrition. Therefore, it is crucial to detect and give special emphasis to those identified predictors promptly.

Incidence and Predictors of Major Adverse Drug Reactions Among Human Immunodeficiency Virus-infected Children on Antiretroviral Treatment in West Amhara Comprehensive Specialized Hospitals, Northwest Ethiopia: A Multicenter Retrospective Follow-up Study.

PURPOSE: Major adverse drug reactions (ADRs) are the leading causes of poor adherence, switching of drugs, morbidity, and mortality. A limited studies was conducted to investigate major ADR in developing countries including Ethiopia, and the purpose of this study was to assess the incidence and predictors of major ADRs among HIV-infected children receiving antiretroviral therapy (ART) in West Amhara Comprehensive Specialized Hospitals, Northwest Ethiopia. METHODS: An institutional-based retrospective follow-up study was conducted among 460 children receiving ART from January 1, 2014 to December 31, 2021. A simple random sampling technique was employed, and data were collected using Kobo Toolbox software and then deployed to STATA 14 for analysis. The Kaplan-Meier survival curve and the log-rank test were used to estimate and compare survival times. Both bivariable and multivariable Weibull regression models were fitted to identify predictors. Finally, an adjusted hazards ratio (AHR) with a 95% CI was computed, and variables with P < 0.05 were considered statistically significant predictors of major ADR. FINDINGS: The overall incidence rate of major ADRs was 5.8 (95% CI, 4.6-7.3) per 1000 child months. Being female (AHR, 2.71; 95% CI, 1.52-4.84), tuberculosis (TB)-HIV co-infection (AHR, 2.49; 95% CI, 1.32-4.68), World Health Organization stage (III and IV) (AHR, 2.52; 95% CI, 1.39-4.56), zidovudine-based (AHR, 2.84; 95% CI, 1.11-7.31), and stavudine-based (AHR, 5.96; 95% CI, 1.63-21.84) regimens were found to be significant predictors of major ADRs. IMPLICATIONS: The major ADR incidence rate was high. Health professionals should employ early screening and close follow-up for children with advanced World Health Organization clinical staging, females, those with TB-HIV co-infection, and those receiving stavudine- and zidovudine-based initial regimens to reduce the incidence of major ADRs.

Incidence and predictors of recurrent acute coronary syndrome among adult patients with acute coronary syndrome in West Amhara, Ethiopia: a multicenter retrospective follow-up study.

Introduction: Acute coronary syndrome (ACS) is the most common cause of morbidity and mortality in patients with coronary heart disease. Furthermore, the recurrence of this problem has significant adverse outcomes. However, there is insufficient information pertaining to this problem in Ethiopia; hence, this study aims to assess the incidence rate and identify the predictors of ACS recurrence in the West Amhara region. Methods: A retrospective follow-up study was conducted among 469 patients diagnosed with primary ACS. Data from the patient chart were collected using a pre-tested structured data extraction tool. The study employed the Weibull regression analysis model, and the effect size was measured using an adjusted hazard ratio (HR) with a 95% confidence interval (CI). The statistical significance of the findings was established based on a p-value <0.05. Result: A total of 429 patients were included in the final analysis [average age, 60 ± 13.9 years; and 245 (57.1%) men]. A total of 53 patients (12.35%; 95% CI: 9.55%-15.83%) experienced recurrent ACS. The overall risk time was found to be 93,914 days (3,130.47 months), and the recurrence rate was 17/1,000 patients/month. The identified predictors were the typical symptoms of ACS such as syncope (HR: 3.54, p = 0.013), fatigue (HR: 5.23, p < 0.001), history of chronic kidney disease (HR: 8.22, p < 0.001), left ventricular ejection fraction of <40% (HR: 2.34, p = 0.009), not taking in-hospital treatments [aspirin (HR: 9.22, p < 0.001), clopidogrel (HR: 4.11, p = 0.001), statins (HR: 2.74, p = 0.012)], and medication at discharge [statins (HR: 4.56, p < 0.001)]. Conclusion: This study found a higher incidence rate of recurrent ACS. Hence, the implementation of guideline-recommended anti-ischemic treatment should be strengthened.

Perceived work-ability and its associated factors among nurses working in the Northwest of Amhara regional state Referral Hospitals, Northwest Ethiopia, 2022.

BACKGROUND: Nurses with reduced work ability had a high risk of disability pension, sickness absences, retirement intention, and leave their job and profession early. Nurses frequently suffer from job related stress, occupational fatigue and sleep problems, which can further compromise their work ability. AIMS OF THE STUDY: The aim of this study was to assess perceived work ability and its associated factors among nurses working in the Northwest of Amhara regional state Referral Hospitals, Northwest Ethiopia, 2022. METHODS: A multicenter, an institutional based, cross-sectional study was conducted among 410 nurses working in five selected Referral hospitals, found in the Northwest of Amhara regional state, Northwest Ethiopia, 2022. The data were collected using a structured, self-administered questionnaire and entered using Epi info version 7.2.5 software, analyzed using SPSS version 25. Summary statistics (median or IQR for continuous data and frequency and percentage for categorical variables) were used. The ordinal logistic regression was used to assess' the presence of association between dependent and independent variables. RESULTS: The findings of this study revealed that 59.0% of nurses had poor level of work ability, whereas 34.4% and 6.6% of nurses had sub-optimal and optimal level of work ability respectively. Multivariable ordinal logistic regression revealed that being male [AOR = 2.43; 95% CI (1.52, 3.91)], being BSC nurse [AOR = 0.21; 95% CI (0.08, 0.51)], nurses who had poor sleep quality [AOR = 0.34; 95% CI (0.12, 0.98)] and nurses who had chronic disease [AOR = 0.18; 95% CI (0.08, 0.41)] were significantly associated with nurses' level of work ability, p-value < 0.05. CONCLUSIONS: In this study, the prevalence of poor level of work ability among nurses was high. Nurses with a female sex, nurses who had chronic disease, BSC holders and nurses who had poor sleep quality had a poor level of work ability. The federal Minister of health and the study hospitals collaborative with concerned stakeholders to design strategies to enhance work ability among nurses.

Prevalence and Determinants of Stunting Among Adolescent Girls in Ethiopia.

PURPOSE: The purpose of this study was to assess the prevalence of stunting and identify factors associated with it among adolescent girls in Ethiopia. DESIGN AND METHODS: From 15,683 women participants of the 2016 Ethiopian Demographic and Health Survey (EDHS), a sub-sample of 3,498 adolescents aged 15-19 years were selected; from which 2,733 adolescents who had a complete response to all variables of interest were retained for analysis. Variables were selected using conceptual framework. We used height-for-age Z-score index (HAZ) growth standards less than -2 to identify stunting. We adjusted for weights and sampling design. Bivariable and multivariable regression analysis was carried out. RESULTS: The prevalence of stunting was 410(15%); comprising of 353 (12.9%) moderate and 57(2.2%) severe stunting cases. The odds of being stunted among respondents living in Tigray (AOR = 3.38, 95%CI: 1.47, 7.79), Amhara (AOR = 2.66, 95%CI: 1.18, 6.012) and Addis Ababa (AOR = 4.24, 95%CI: 1.84, 9.79) were higher compared to respondents living in Dire-Dawa. Adolescent girls living in rural areas (AOR = 2.29, 95%CI: 1.10, 4.75) had higher odds of stunting compared to those living in urban areas. Adolescent girls from the lowest wealth quintile (AOR = 2.38, 95%CI: 1.56, 9.67) had higher odds of stunting compared to the highest wealth quintile. Respondents who have one child (AOR = 3.33, 95%CI: 5.78, 15.31), and two children (AOR = 4.01, 95% CI: 1.39, 7.73) had higher odds of being stunted compared to those who have no children. The odds of stunting among adolescent girls having no access to safe water supply (AOR = 3.17, 95% CI: 1.21-8.37) and having no access to hygienic toilet (AOR = 1.44, 95% CI: 1.17, 1.95) were higher compared to those having access to safe water supply and hygienic toilets respectively. CONCLUSIONS: The current study revealed that stunting is an important public health problem among adolescent girls in Ethiopia. PRACTICE IMPLICATIONS: Health care workers should screen nutritional status of adolescent girls and assess the risk factors of stunting giving emphasis to adolescent girls living in rural areas, who are within the lowest wealth quintile, who have children, and those who have no access to safe water supply and have no access to hygienic toilets.