Bacterial profile and antimicrobial susceptibility pattern of neonatal sepsis in Felege-Hiwot Referral Hospital, Bahir Dar, northwest Ethiopia: A cross-sectional study design

AbstractBackground: Neonatal sepsis is a life-threatening medical condition that occurs when host and pathogen interaction leads to organ/tissue damage. Determining the bacterial profile and the antimicrobial susceptibility pattern, and associated factors, in certain geographic regions is vital for rapid empirical medical decisions.Objective: To assess the bacterial profile, antimicrobial susceptibility pattern, and factors associated with neonatal sepsis, in Felege-Hiwot Referral Hospital, Ethiopia.Methods: A facility-based cross-sectional study was conducted from April 2018 to July 2018. A total of 412 neonates were included in the study. Socio-demographic and clinical data were collected using a structured and pre-tested questionnaire. About 2ml of blood sample was withdrawn from each participant, and processed for bacterial identification and susceptibility testing, following 2017 Clinical and Laboratory Standards Institute guidelines. Data were analysed using Statistical Package for the Social Sciences version 23. Logistic regressions were used to determine the association between independent variables and dependent variables in relation to bacterial profiles and antimicrobial susceptibility patterns. Odds ratios, and their 95% confidence intervals, were calculated, and the results were considered statistically significant at a p-value less than 0.05.Results: Of the 412 neonates who were enrolled, 41.3% (170/412) were positive for blood culture. Klebsiella pneumoniae, 28.2% (48/170) was the predominant isolate, followed by Staphylococcus aureus, 24.7% (42/170). The majority of the isolates developed resistance to ampicillin and penicillin. The overall proportion of multidrug resistance was 78.2% (133/170). Preterm (<37 weeks) [AOR = 2.049; 95% CI: 1.151, 3.647], low birth weight (<2,500gm) [AOR = 2.357; 95% CI: 1.352, 4.109], prolonged rupture of membrane (≥18 hours) [AOR = 4.282; 95% CIL: 1.615, 11.354], and caesarean section modes of delivery [AOR = 2.826; 95% CI: 1.618, 4.936] showed statistical association with bacteriologically confirmed neonatal sepsis.Conclusions: The majority (78.2%) of presumptive neonatal sepsis cases tested positive for blood culture. Klebsiella pneumoniae and Staphylococcus aureus were the leading isolates recovered from neonatal sepsis cases. Most of the bacterial isolates from NS cases were resistant to multiple classes of antibiotic. Auspiciously, majority of these isolates were susceptible to ciprofloxacin; as such this replication inhibitor antibiotic could be a choice of physicians for empirical treatment decision. Since it is a single facility based study, further study is recommended. [Ethiop. J. Health Dev. 2021; 35(1):18-28]Key words: Bacteria; neonate; early-onset neonatal sepsis; late-onset neonatal sepsi

Employing advanced supervised machine learning approaches for predicting micronutrient intake status among children aged 6–23 months in Ethiopia

BackgroundAlthough micronutrients (MNs) are important for children’s growth and development, their intake has not received enough attention. MN deficiency is a significant public health problem, especially in developing countries like Ethiopia. However, there is a lack of empirical evidence using advanced statistical methods, such as machine learning. Therefore, this study aimed to use advanced supervised algorithms to predict the micronutrient intake status in Ethiopian children aged 6–23 months.MethodsA total weighted of 2,499 children aged 6–23 months from the Ethiopia Demographic and Health Survey 2016 data set were utilized. The data underwent preprocessing, with 80% of the observations used for training and 20% for testing the model. Twelve machine learning algorithms were employed. To select best predictive model, their performance was assessed using different evaluation metrics in Python software. The Boruta algorithm was used to select the most relevant features. Besides, seven data balancing techniques and three hyper parameter tuning methods were employed. To determine the association between independent and targeted feature, association rule mining was conducted using the a priori algorithm in R software.ResultsAccording to the 2016 Ethiopia Demographic and Health Survey, out of 2,499 weighted children aged 12–23 months, 1,728 (69.15%) had MN intake. The random forest, catboost, and light gradient boosting algorithm outperformed in predicting MN intake status among all selected classifiers. Region, wealth index, place of delivery, mothers’ occupation, child age, fathers’ educational status, desire for more children, access to media exposure, religion, residence, and antenatal care (ANC) follow-up were the top attributes to predict MN intake. Association rule mining was identified the top seven best rules that most frequently associated with MN intake among children aged 6–23 months in Ethiopia.ConclusionThe random forest, catboost, and light gradient boosting algorithm achieved a highest performance and identifying the relevant predictors of MN intake. Therefore, policymakers and healthcare providers can develop targeted interventions to enhance the uptake of micronutrient supplementation among children. Customizing strategies based on identified association rules has the potential to improve child health outcomes and decrease the impact of micronutrient deficiencies in Ethiopia

Delay in Seeking Institutional Delivery Services and Associated Factors Among Immediate Postpartum Mothers in Public Health Facilities in Gondar Town, Northwest Ethiopia, 2022

Background: Maternal and neonatal mortality is a global problem that is highly prevalent in low- and middle-income countries, including Ethiopia. Maternal delay in seeking institutional delivery services utilization plays a significant role in determining maternal and neonatal health outcomes. Although studies have been conducted on institutional delivery service utilization in Ethiopia, little is known about factors for delays in seeking care for institutional delivery services. Objective: This study aimed to assess the delay in seeking institutional delivery services and associated factors among immediate postpartum mothers in public health facilities in Gondar, northwest Ethiopia. Methods: A facility-based cross-sectional study was conducted from July 15 to September 10, 2022. A total of 391 participants were selected using systematic random sampling. Data were collected through face-to-face interviews using structured, pretested, and interviewer-administered questionnaires. Data were entered into EpiData version 4.6, and the analysis was conducted using Statistical Package for Social Science version 26. The multivariable logistic regression model was fitted and the level of significance was set at p ? 0.05. Result: The prevalence of delay in seeking institutional delivery was 49.10% (95% confidence interval [CI]: 44.13, 54.08). Rural residence (adjusted odds ratio [AOR] = 2.51; 95% CI: 1.43?4.41), no antenatal care visits (AOR: 2.87; 95% CI: 1.34?6.13), unplanned pregnancy (AOR: 2.98; 95% CI: 1.78?5.01), poor decision-making autonomy in maternity care services (AOR: 1.98; 95% CI: 1.15?3.40), and poor birth preparedness plan (AOR: 4.88; 95% CI: 2.79?8.53) were significantly associated with delays in seeking institutional delivery. Conclusion: Delays in seeking institutional delivery services were high. It is better to promote women?s decision-making power in their own health care. In addition, it is better to arrange programs that will improve maternal and child health service utilization

Immunization coverage and its associated factors among children aged 12-23 months in Ethiopia: An umbrella review of systematic review and meta-analysis studies.

BackgroundImmunization estimated to prevent 2 to 3 million children deaths every year from vaccine preventable disease. In Ethiopia, limited and inconclusive studies have been conducted on immunization coverage so far. Therefore, this umbrella review was intended to estimate the pooled national immunization coverage and its associated factors among children age 12-23 months in Ethiopia.MethodsThis umbrella review included five systematic reviews and meta-analyses through literature search from PubMed, Science direct, and web of science, CINHALE, and data bases specific to systematic reviews such as the Cochrane Database of Systematic Reviews and Prospero, the International Prospective Register of Systematic Reviews from May 1 to 30/ 2023. Only systematic reviews and meta-analyses published in English from inception to May 1, 2023, were included. The quality of each study was assessed using Assessment of Multiple Systematic Reviews. Data were extracted using Microsoft excel 2016 and analyzed using STATA 17.0 statistical software. Heterogeneity among studies was assessed using the Cochran Q statistics and I2 test. The pooled effect sizes were determined using pooled proportion for the full vaccination coverage and odds ratios for the associated factors with the corresponding 95% confidence interval were used to declare statically significance.ResultsFive studies with 77,161 children aged 12-23 months were included. The overall pooled full vaccination coverage was 57.72% (95% CI 50.17, 65.28). Institutional delivery (OR: 2.12, 95% CI: 1.78-2.52), travel to vaccination site for ConclusionThis study showed the full immunization coverage in Ethiopia was lower compared to the WHO-recommended level. Besides, the current umbrella review identifies several factors that contribute to higher immunization coverage. These includes; institutional delivery, near to vaccination site, having ANC visit, being urban residence, household visited by HCP, having good knowledge and informed on immunization schedule. Thus, the government should intensify the growth of immunization services by emphasizing outreach initiatives to reach remote areas and professionals must combine child immunization service with other medical services offered by health institutions

Bacterial Etiology of Urinary Tract Infection and Antibiogram Profile in Children Attending Debre Tabor Comprehensive Specialized Hospital, Northwest Ethiopia

Background. Bacterial urinary tract infections are important public health problems in children. This study was conducted to identify the bacterial agents of urinary tract infections and antibiogram patterns in children. Methods. A hospital-based cross-sectional study including 220 children was carried out between November 15, 2021, and March 10, 2022. Simple random sampling was used to enroll participants. The sociodemographic and clinically pertinent information was gathered using a semi-structured questionnaire. Every participant in the study who was ≤15 years old gave clean-catch midstream urine. Urine samples were inoculated onto a cystine lactose electrolyte-deficient agar using a calibrated inoculating loop with a 0.001 ml capacity and then incubated aerobically for 24 hours at 37°C. Subculturing for significant bacteriuria was done on MacConkey and blood agar. Gram staining, biochemical assays, and colony characteristics were used for bacterial identification. The disc diffusion method developed by Kirby and Bauer was used for antimicrobial susceptibility testing. SPSS software version 25 was used for data entry and analysis. To find the risk factors, bivariate and multivariate logistic regression analyses were performed. An association was deemed statistically significant if the p value at the 95 percent confidence interval was less than 0.05. Results. In this study, the majority (50.5%) of the study participants were males. The mean age of the study participants was 6 ± 0.91 years. It was found that 31.8% of children had urinary tract infections. The most prevalent urinary pathogens among the isolates were E. coli (27.1%) and S. aureus (18.6%). Approximately 56% of the participants were infected with multidrug-resistant pathogens. Additionally, compared to children who have never had a urinary tract infection, children with a history of infection had 1.04 (95 percent confidence interval (CI): 0.39, 2.75) times higher risk of infection. Conclusion. This study has shown an alarming increase in the prevalence of pediatric urinary tract infections which warrants further investigation into multidrug-resistant bacterial infection