Dataset Information

Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019.

ABSTRACT: Background:One-third to two-thirds of operated patients in low-income countries acquire surgical site infection, which is nine times higher when compared to high-resource countries. Identifying the incidence and risk factors that contribute to surgical site infection following cesarean delivery is a step ahead for preventing and reducing the problem. Nonetheless, the distribution of the problem in Addis Ababa, where the rate of cesarean delivery is relatively high compared to other parts of the country, is under investigation. Objective:The aim of this study is to assess the incidence of surgical site infection among cesarean deliveries and factors associated with it in selected governmental hospitals found in Addis Ababa, Ethiopia, in 2019. Method:A hospital-based prospective cohort study design was employed to follow 175 women, who gave birth by cesarean delivery in selected government hospitals in Addis Ababa, from March 11 to April 9, 2019. Convenience sampling method was used to select study units from the randomly selected hospitals. Descriptive statistics were run for determining the rate of cesarean delivery surgical site infection. Presence and degree of association between outcome and independent variables were computed through bivariate logistic regression analysis and factors that had p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. Result:From 166 participants who completed 30-day follow-up, 25 (15%) of the participants developed surgical site infection. Age, gestational age, duration of operation, and ?5 vaginal examinations showed a significant association with the outcome variable with AOR (95% CI) of ((AOR?=?1.504, 95% CI: (1.170?-?1.933, p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. Conclusion and recommendation. Surgical site infection rate is higher and certain associations lost due to small sample size. Further interventional studies with vast sample size are recommended.

SUBMITTER: Lijaemiro H

PROVIDER: S-EPMC7057000 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019.

Lijaemiro Hana H Berhe Lemlem Semarya S Tesfaye Deressa Jembere J

Obstetrics and gynecology international 20200222

<h4>Background</h4>One-third to two-thirds of operated patients in low-income countries acquire surgical site infection, which is nine times higher when compared to high-resource countries. Identifying the incidence and risk factors that contribute to surgical site infection following cesarean delivery is a step ahead for preventing and reducing the problem. Nonetheless, the distribution of the problem in Addis Ababa, where the rate of cesarean delivery is relatively high compared to other parts ...[more]

PMID: 32148511

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Project description:ObjectiveThis study aims to assess the survival status and predictors of mortality among under-5 children with severe acute malnutrition in Addis Ababa, Ethiopia.DesignA retrospective cohort study was employed on randomly selected 422 medical records of children under the age of 5 admitted to stabilisation centres in Addis Ababa, Ethiopia. Survival analysis and Cox regression analysis were conducted to determine time spent before the outcome and predictors of desired outcome.SettingsThe stabilisation centres in four governmental hospitals in Addis Ababa, Ethiopia: Tikur Anbessa Specialised Hospital, Zewditu Memorial Hospital, Yekatit 12 Hospital and Tirunesh Beijing Hospital PARTICIPANTS: Of 435 severely malnourished children under the age of 5 admitted to four governmental hospitals in Addis Ababa, Ethiopia, from January 2020 to December 2022, we were able to trace 422 complete records. The remaining 13 medical records were found to be incomplete due to missing medical history information for those children.Primary and secondary outcome measuresThe primary outcome is the survival status of under-5 children with severe acute malnutrition after admission to the stabilisation centres. The secondary outcome is predictors of survival among these children.ResultsOf 422 children, 44 (10.4%) died, with an incidence rate of 10.3 per 1000 person-days. The median hospital stay was 8 days. Full vaccination (adjusted HR (AHR) 0.2, 95% CI 0.088 to 0.583, p<0.05), feeding practices (F-75) (AHR 0.2, 95% CI 0.062 to 0.651, p<0.01), intravenous fluid administration (AHR 3.7, 95% CI 1.525 to 8.743, p<0.01), presence of HIV (AHR 2.2, 95% CI 1.001 to 4.650, p<0.05), pneumonia (AHR 2.2, 95% CI 1.001 to 4.650, p<0.01) and occurrence of shock (AHR3.5, 95% CI 1.451 to 8.321, p<0.01) were identified as significant predictors of mortality.ConclusionThe study identified a survival rate slightly higher than the acceptable range set by the social and public health economics study group. Factors like vaccination status, HIV, pneumonia, shock, intravenous fluid and the absence of feeding F-75 predicted mortality.

Project description:IntroductionAutism is a neurodevelopmental disorder that occurs in the early childhood period and is characterized by altered social interaction, communication problems, repetitive, and stereotyped behavior. Genetic, environmental, or physical risk factors are associated with prenatal, natal, or postnatal complications, leading to the development of autism spectrum disorders. Prompt diagnosis and management should be an integral component of the care provision in countries like Ethiopia.ObjectiveThis study aimed to assess knowledge of childhood autism among nurses working in governmental hospitals in Addis Ababa, Ethiopia.MethodsInstitutional based cross-sectional study design was used. The sample size was calculated using the single population proportion formula, and the final sample size was 360. Final study subjects were selected by using the simple random sampling method. Data were collected using structured self-administered questionnaires and were then coded and entered into Epi-data version 3.1 and exported to SPSS version 21 for analysis. Descriptive statistics were utilized to show frequencies and percentages, and analysis of variance was carried out to compute the association between the dependent and independent variables. Independent t-test was also done to see the association between dependent variables and independent variables with two means. A p-value of less than 0.05 was considered statistically significant.ResultsThe mean score for knowledge-related items was 8.79 ± 0.4. In this study, out of 331 nurses, 180 (54.35%) had good knowledge. Significant mean score difference was observed among age distribution (F-Ratio = 2.8, p-value = 0.04), level of education (F-ratio = 13.97, p < 0.001) and work experience (F-Ratio = 3.07 p-value = 0.017).ConclusionA significant gap was observed in the overall knowledge of childhood autism among nurses employed in the governmental hospitals of Addis Ababa. The respondents' knowledge level was significantly different among age group distributions, education levels, and work experience.

Project description:BackgroundChild mortality remains a global public health problem, particularly in Sub-Saharan Africa. After initiating ART, the mortality rate among HIV-infected children in Ethiopia was 12-17 deaths per 1000 child-year.ObjectiveTo determine the time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia, from April 12, 2017, to May 12, 2022.MethodAn institution-based retrospective follow-up study was conducted among 415 HIV-infected children at selected public hospitals of the Addis Ababa town administration. Computer generated simple random sampling technique was used to select each sampling unit. Data was extracted using a structured data extraction checklist. Data were entered into EPI data 4.2 and analyzed using STATA 14. The child mortality rate was calculated. The Cox proportional hazards regression model was fitted to identify predictor factors. The result of the study was presented using text, tables, graphs, and charts. An adjusted hazard ratio with a 95% confidence interval and a p-value less than 0.05 was used to declare the level of significance.ResultA total of 415 (97.42%) of the 426 children on ART were included for analysis. Of these, 41(9.88%) children were died during the following period. The study participants were followed for a total of 8237 person- months of risk time. The overall mortality rate was 4.98 (95% CI: 3.67-6.77) per 1000 child-months. The estimated survival after starting ART was 61.42% at 56 months of follow-up. Severe underweight (AHR = 3.19; 95% CI: 1.32-7.71), tuberculosis (AHR = 3.86; CI: 1.76-8.47), low hemoglobin level (AHR = 2.51; CI: 1.02-6.20), and advanced WHO clinical stages at enrolment (AHR = 3.38; CI: 1.08-10.58) were predictors of death among HIV-infected under-five children on ART.ConclusionThe incidence of mortality was 4.98 per 1000 child-months. Severe underweight, tuberculosis infection, low hemoglobin level, and advanced WHO clinical stages at enrolment were predictors of death among under-five children on ART.

Dataset Information

Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019.

Publications

Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019.

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