Diabetes mellitus service preparedness and availability: a systematic review and meta-analysis.

Background: In areas with limited resources, the lack of preparedness and limited availability of diabetes mellitus services in healthcare facilities contribute to high rates of illness and death related to diabetes mellitus. As a result, this study focused on analyzing the combined prevalence of preparedness and availability of diabetic services in countries with limited resources. Methods: A comprehensive search was conducted across various databases, such as PubMed/MEDLINE, Web of Science, Google Scholar, and African Journal Online. The search aimed to identify primary research articles that assessed the availability and preparedness of services for individuals with type 2 diabetes mellitus specifically. The articles included in the search spanned from January 2000 to 23 February 2024. To analyze the data, a meta-analysis of proportions was performed using the random-effects model. Additionally, the researchers assessed publication bias by examining a funnel plot and conducting Egger's test. Heterogeneity and sensitivity analyses were also conducted to evaluate the data. The findings of the study regarding the pooled prevalence of diabetes service preparedness and availability, along with their corresponding 95% confidence intervals, were presented using a forest plot. Results: A comprehensive analysis was conducted on 16 research articles that focused on service preparedness and 11 articles that examined service availability. The sample sizes for these studies were 3,422 for service preparedness and 1,062 for service availability. The findings showed that the pooled prevalence of diabetes service preparedness was 53.0% (95% CI: 47.0-60.0). Furthermore, in this systematic synthesis, the overall pooled prevalence of service availability for diabetes mellitus was 48% (95% CI: 36.0-67.0), with the highest pooled prevalence observed in Asia, with a pooled prevalence of 58% (95% CI: 38.0-89.0). Conclusion: Our study reveals a significant disparity in the preparedness and availability of services for diabetes mellitus, which falls below the minimum threshold set by the WHO. These findings should capture the attention of policymakers and potentially serve as a foundation for reevaluating the current approach to diabetes service preparedness and availability. To enhance the availability and preparedness of diabetes services, a tailored, multifaceted, and action-oriented approach to strengthening the health system is required. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42024554911.

Hotspot analysis of anaemia among pregnant women in Ethiopia: hotspot analysis of national demographic and health survey data.

BACKGROUND: Anaemia is a significant global health problem, especially, in developing nations like Ethiopia. Despite increasing rates over the past two decades, there is limited research on the specific prevalence of anaemia among pregnant women in the country. OBJECTIVE: To identify hotspot areas of anaemia-associated factors among pregnant women in Ethiopia. STUDY DESIGN: Cross-sectional. SETTING: Ethiopian demographic study from 2005 to 2016. PARTICIPANTS: This study analysed 3350 pregnant women. PRIMARY AND SECONDARY OUTCOME MEASURES: Hotspot area of anaemia among pregnant women, trend of anaemia and associated factors. RESULTS: The prevalence of anaemia among pregnant women has shown significant fluctuations over the years. Between 2005 and 2011, there was a notable decrease from 30.9% to 21.5% while the prevalence increased from 21.5% in 2011 to 29.58% in 2016. The identified determinants of anaemia among pregnant women were female-headed household, belonging to the highest wealth quintile, being in the second or third trimester of pregnancy, being a working woman and residing in the Somalia region. Hotspot areas, where the prevalence of anaemia was particularly high, were identified in Somalia, Dire Dawa, Afar and Harari regions. CONCLUSION: Anaemia during pregnancy is a major public health concern in Ethiopia, with a concerning increase between 2011 and 2016. Hotspot areas like Somali, Dire Dawa, Afar and Harari are particularly affected. Shockingly, nearly one in three pregnant women in Ethiopia suffer from anaemia. To address this issue effectively, targeted interventions prioritising economically disadvantaged households and pregnant women in their second and third trimesters are crucial. Monitoring spatial patterns and contributing factors is vital to develop tailored interventions and improve maternal health outcomes in these high-risk areas. By strategically targeting hotspot areas nationwide, significant progress can be made in reducing anaemia among pregnant women.

Impact of COVID-19 on individual mental health and maternal health services in Ethiopia: systematic review and meta-analysis.

Background: The COVID-19 pandemic has caused a major outbreak in the 21st century and has led to significant mental health hazards worldwide. To address this issue, a systematic review has been conducted to analyze existing literature on the impact of COVID-19 on the psychological well-being of the general population, as well as the associated risk factors. Methods: A comprehensive search was carried out on PubMed, Embase, Medline, Web of Science, and Scopus databases, covering all available literature up until February 20, 2024. This search was conducted in accordance with the PRISMA guidelines, ensuring a systematic approach. The selection of articles was based on predetermined eligibility criteria, ensuring the inclusion of appropriate and suitable research. In the final analysis, a total of 15 articles focusing on depression and anxiety, 11 articles on stress, and 7 articles on psychological problems were included. These articles specifically examined the outcome variables within the context of English language and specific areas. For the meta-analysis on maternal health services, 11 articles were included for family planning, 25 articles for postnatal care services, 16 articles for institutional delivery, and 14 articles for safe abortion services. These articles were carefully selected for the final pooled analysis. Result: According to a recent systematic review, anxiety, depression, stress, and psychological distress have been prevalent in Ethiopia during the COVID-19 pandemic, with rates of 40, 41, 23, and 41%, respectively. The review also identified various sociodemographic factors that have impacted the country's response to the pandemic, including female gender, age, marital status, incarceration, low income, and lack of social support. Furthermore, the review found that maternal health services have experienced significant reductions during the pandemic. Conclusion: The COVID-19 pandemic has led to a significant increase in psychological distress, which in some cases, is severe enough to require clinical treatment. It is crucial to prioritize efforts to address the negative impact of COVID-19 on mental health as a global public health priority. Additionally, it is important to pay attention to maternal health services during COVID-19 mitigation programs.

Incidence density mortality rate among HIV-positive children on antiretroviral therapy in Ethiopia: a systematic review and meta-analysis.

BACKGROUND: Human Immunodeficiency Virus (HIV) continues to be the major cause of childhood deaths, particularly in the sub-Saharan African region. In Ethiopia, though several primary studies have been conducted on the incidence of HIV-related child mortality, the pooled incidence density mortality rate among HIV-positive children is unknown. Therefore, this systematic review and meta-analysis aimed to estimate the pooled incidence density mortality rate among HIV-positive children and identify its associated factors in Ethiopia. METHODS: We browsed PubMed, HINARI, Science Direct, Google Scholar, African Journals Online, and cross-references using different search terms to identify articles. Quality appraisal was done using the Joanna Briggs Institute checklist. Meta-package was used to estimate the pooled incidence of mortality and hazard ratio (HR) of predictors. Heterogeneity was tested using the I-square statistics. Publication bias was tested using a funnel plot visual inspection and Egger's test. Data was presented using forest plots and tables. The random effect model was used to compute the pooled estimate. RESULTS: The overall pooled incidence density mortality rate among HIV-positive children was 2.52 (95% CI: 1.82, 3.47) per 100 child years. Advanced HIV disease (hazard ratio (HR): 3.45, 95% CI (Confidence Interval): 2.64, 4.51), tuberculosis co-infection (HR: 3.19, 95% CI: 2.08, 4.88), stunting (3.22, 95% CI: 2.46, 4.22), underweight (HR: 2.71, 95% CI: 1.72, 4.26), wasting (HR: 4.14, 95% CI: 2.27, 7.58), didn't receive Isoniazid preventive therapy (HR: 3.33, 95% CI: 2.22, 4.99), anemia (HR: 3.03, 95% CI: 2.52, 3.64), fair or poor antiretroviral therapy adherence (HR: 4.14, 95% CI: 3.28, 5.28) and didn't receive cotrimoxazole preventive therapy (HR: 3.82, 95% CI: 2.49, 5.86) were factors associated with a higher hazard of HIV related child mortality. CONCLUSIONS: The overall pooled incidence density mortality rate among HIV-positive children was high in Ethiopia as compared to the national strategy target. Therefore, counseling on antiretroviral therapy adherence should be strengthened. Regular monitoring of hemoglobin levels and assessment of nutritional status should be done for all children living with HIV. Moreover, healthcare professionals should follow the national HIV treatment guidelines and provide cotrimoxazole preventive therapy and Isoniazid preventive therapy up on the guidelines for children living with HIV. REGISTRATION: Registered in PROSPERO with ID: CRD42023486902.

The pooled prevalence of attention-deficit/hyperactivity disorder among children and adolescents in Ethiopia: A systematic review and meta-analysis.

BACKGROUND: Attention-deficit/hyperactivity disorder is one of the most common childhood neurobehavioral disorders, which has a serious negative effect on educational achievement, peer relationships, social functioning, behavior, and self-esteem of children. However, the pooled prevalence of attention-deficit/hyperactivity disorder is not well known in Ethiopia. Therefore, the main objective of this systematic review and meta-analysis is to estimate the pooled prevalence of attention-deficit/hyperactivity disorder among children and adolescents in Ethiopia. METHODS: PubMed, HINARI, Science Direct, Psych INFO, Google Scholar, African Journals Online, and cross-referenced were searched to identify relevant articles. Quality appraisal was done using the Joanna Briggs Institute checklist. Heterogeneity was tested using the I-square statistics. Publication bias was tested using a funnel plot visual inspection. Further, trim and fill analysis was done to correct publication bias.Forest plots and tables were used to present results. The random effect model was used to compute the pooled prevalence of attention-deficit/hyperactivity disorder among children and adolescents. RESULTS: The overall pooled prevalence of attention-deficit/hyperactivity disorder among children and adolescents in Ethiopia was 14.2% (95% CI: 8.48, 22.83). Being male (OR: 2.19, 95% CI: 1.54; 3.12), being aged 6-11 years (OR: 3.67, 95% CI: 1.98; 6.83), low family socioeconomic status (OR: 3.45 95% CI: 2.17; 5.47), maternal complication during pregnancy (OR: 3.29, 95% CI: 1.97; 5.51) and family history of mental illness (OR: 3.83, 95% CI:2.17; 6.77) were factors associated with a higher odds of attention-deficit/hyperactivity disorder among children and adolescents. CONCLUSIONS: The overall pooled prevalence of attention-deficit/hyperactivity disorder among children and adolescents is high in Ethiopia as compared to previous literature. To reduce the prevalence of attention-deficit/hyperactivity disorder among children and adolescents, emphasis has to be given to prevention, early detection, and management of pregnancy-related complications. Moreover, parents with mental illness should be supported and properly treated to reduce the impact of hostile parenting on their child's health. TRIAL REGISTRATION: Registered in PROSPERO with ID: CRD42024536334.

Antenatal depression and its predictors among HIV positive women in Sub-Saharan Africa; a systematic review and meta-analysis.

Background: Antenatal depression in Human Immunodeficiency Virus (HIV) positive pregnant women can have significant adverse effects on both the mother and newborns, yet it is often overlooked in pregnancy care in Sub-Saharan Africa (SSA). Despite this, there is limited data on the combined prevalence of antenatal depression and its predictors among HIV-positive women in the region. Objective: To assess the pooled prevalence of antenatal depression and its associated factors among HIV-positive women in SSA. Methods: All primary cross-sectional studies published before 1st January/2024, were included. We conducted searches in relevant databases; PubMed, HINARI, Web of Science, PsycINFO, Psychiatry Online, ScienceDirect, and Google Scholar. The Joanna Briggs Institute checklist was used to critically appraise the selected studies. To assess heterogeneity among the studies, we utilized the I2 test. Publication bias was evaluated using a funnel plot and Egger's test. The forest plot was used to present the combined proportion of antenatal depression and odds ratio, along with a 95% confidence interval. Results: The pooled prevalence of antenatal depression among HIV-positive women in Sub-Saharan Africa was found to be 30.6% (95% CI, 19.8%-41.3%). Factors significantly associated with antenatal depression among HIV-positive women in SSA included being unmarried (AOR: 3.09, 95% CI: 1.57 - 6.07), having a previous history of depression (AOR: 2.97, 95% CI: 1.79 - 4.91), experiencing intimate partner violence (IPV) (AOR: 2.11, 95% CI: 1.44 - 3.09), and experiencing stigma (AOR: 1.36, 95% CI: 1.05 - 1.76). Conclusion: High prevalence of antenatal depression among HIV-positive women in SSA underscores the need for prioritizing identification and management. Interventions addressing factors like IPV and stigma, along with training for healthcare providers in recognizing symptoms and providing support, are recommended. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024508236.

Machine learning algorithms for predicting COVID-19 mortality in Ethiopia.

BACKGROUND: Coronavirus disease 2019 (COVID-19), a global public health crisis, continues to pose challenges despite preventive measures. The daily rise in COVID-19 cases is concerning, and the testing process is both time-consuming and costly. While several models have been created to predict mortality in COVID-19 patients, only a few have shown sufficient accuracy. Machine learning algorithms offer a promising approach to data-driven prediction of clinical outcomes, surpassing traditional statistical modeling. Leveraging machine learning (ML) algorithms could potentially provide a solution for predicting mortality in hospitalized COVID-19 patients in Ethiopia. Therefore, the aim of this study is to develop and validate machine-learning models for accurately predicting mortality in COVID-19 hospitalized patients in Ethiopia. METHODS: Our study involved analyzing electronic medical records of COVID-19 patients who were admitted to public hospitals in Ethiopia. Specifically, we developed seven different machine learning models to predict COVID-19 patient mortality. These models included J48 decision tree, random forest (RF), k-nearest neighborhood (k-NN), multi-layer perceptron (MLP), Naïve Bayes (NB), eXtreme gradient boosting (XGBoost), and logistic regression (LR). We then compared the performance of these models using data from a cohort of 696 patients through statistical analysis. To evaluate the effectiveness of the models, we utilized metrics derived from the confusion matrix such as sensitivity, specificity, precision, and receiver operating characteristic (ROC). RESULTS: The study included a total of 696 patients, with a higher number of females (440 patients, accounting for 63.2%) compared to males. The median age of the participants was 35.0 years old, with an interquartile range of 18-79. After conducting different feature selection procedures, 23 features were examined, and identified as predictors of mortality, and it was determined that gender, Intensive care unit (ICU) admission, and alcohol drinking/addiction were the top three predictors of COVID-19 mortality. On the other hand, loss of smell, loss of taste, and hypertension were identified as the three lowest predictors of COVID-19 mortality. The experimental results revealed that the k-nearest neighbor (k-NN) algorithm outperformed than other machine learning algorithms, achieving an accuracy of 95.25%, sensitivity of 95.30%, precision of 92.7%, specificity of 93.30%, F1 score 93.98% and a receiver operating characteristic (ROC) score of 96.90%. These findings highlight the effectiveness of the k-NN algorithm in predicting COVID-19 outcomes based on the selected features. CONCLUSION: Our study has developed an innovative model that utilizes hospital data to accurately predict the mortality risk of COVID-19 patients. The main objective of this model is to prioritize early treatment for high-risk patients and optimize strained healthcare systems during the ongoing pandemic. By integrating machine learning with comprehensive hospital databases, our model effectively classifies patients' mortality risk, enabling targeted medical interventions and improved resource management. Among the various methods tested, the K-nearest neighbors (KNN) algorithm demonstrated the highest accuracy, allowing for early identification of high-risk patients. Through KNN feature identification, we identified 23 predictors that significantly contribute to predicting COVID-19 mortality. The top five predictors are gender (female), intensive care unit (ICU) admission, alcohol drinking, smoking, and symptoms of headache and chills. This advancement holds great promise in enhancing healthcare outcomes and decision-making during the pandemic. By providing services and prioritizing patients based on the identified predictors, healthcare facilities and providers can improve the chances of survival for individuals. This model provides valuable insights that can guide healthcare professionals in allocating resources and delivering appropriate care to those at highest risk.

Incidence rate of tuberculosis among HIV infected children in Ethiopia: systematic review and meta-analysis.

BACKGROUND: Tuberculosis is one the leading causes of death from a single infectious disease, caused by the bacillus mycobacterium tuberculosis. In Ethiopia, even though several primary studies have been conducted on the incidence of tuberculosis among HIV-infected children, the pooled incidence rate of tuberculosis among HIV-infected children (aged 0-14 years) is unknown. Therefore, the main objectives of this systematic review and meta-analysis are to estimate the pooled incidence rate of tuberculosis among HIV-infected children and its predictors in Ethiopia. METHOD: International electronic databases such as PubMed, HINARI, Science Direct, Google Scholar, and African Journals Online were searched using different search engines.  Quality of primary studies was checked using the Joanna Briggs Institute checklist. The heterogeneity of studies was tested using I-square statistics. Publication bias was tested using a funnel plot and Egger's test. Forest plots and tables were used to present the results. The random effect model was used to estimate the pooled incidence of tuberculosis among children living with HIV. RESULT: A total of 13 studies were included in this systematic review and meta-analysis. The pooled incidence of tuberculosis among HIV-infected children was 3.77 (95% CI: 2.83, 5.02) per 100-person-year observations. Advanced HIV disease (HR: 2.72, 95% CI: 1.9; 3.88), didn't receive complete vaccination (HR: 4.40, 95% CI: 2.16; 8.82), stunting (HR: 2.34, 95% CI: 1.64, 3.33), underweight (HR: 2.30, 95% CI: 1.61; 3.22), didn't receive Isoniazid preventive therapy (HR: 3.64, 95% CI: 2.22, 5.96), anemia (HR: 3.04, 95% CI: 2.34; 3.98), fair or poor antiretroviral therapy adherence (HR: 2.50, 95% CI: 1.84; 3.40) and didn't receive cotrimoxazole preventive therapy (HR: 3.20, 95% CI: 2.26; 4.40) were predictors of tuberculosis coinfection among HIV infected children. CONCLUSION: This systematic review and meta-analysis concluded that the overall pooled incidence rate of tuberculosis among HIV-infected children was high in Ethiopia as compared to the END TB strategy targets. Therefore, emphasis has to be given to drug adherence (ART and Isoniazid) and nutritional counseling. Moreover, early diagnosis and treatment of malnutrition and anemia are critical to reduce the risk of TB coinfection. REGISTRATION: Registered in PROSPERO with ID: CRD42023474956.

Machine learning prediction of adolescent HIV testing services in Ethiopia.

Background: Despite endeavors to achieve the Joint United Nations Programme on HIV/AIDS 95-95-95 fast track targets established in 2014 for HIV prevention, progress has fallen short. Hence, it is imperative to identify factors that can serve as predictors of an adolescent's HIV status. This identification would enable the implementation of targeted screening interventions and the enhancement of healthcare services. Our primary objective was to identify these predictors to facilitate the improvement of HIV testing services for adolescents in Ethiopia. Methods: A study was conducted by utilizing eight different machine learning techniques to develop models using demographic and health data from 4,502 adolescent respondents. The dataset consisted of 31 variables and variable selection was done using different selection methods. To train and validate the models, the data was randomly split into 80% for training and validation, and 20% for testing. The algorithms were evaluated, and the one with the highest accuracy and mean f1 score was selected for further training using the most predictive variables. Results: The J48 decision tree algorithm has proven to be remarkably successful in accurately detecting HIV positivity, outperforming seven other algorithms with an impressive accuracy rate of 81.29% and a Receiver Operating Characteristic (ROC) curve of 86.3%. The algorithm owes its success to its remarkable capability to identify crucial predictor features, with the top five being age, knowledge of HIV testing locations, age at first sexual encounter, recent sexual activity, and exposure to family planning. Interestingly, the model's performance witnessed a significant improvement when utilizing only twenty variables as opposed to including all variables. Conclusion: Our research findings indicate that the J48 decision tree algorithm, when combined with demographic and health-related data, is a highly effective tool for identifying potential predictors of HIV testing. This approach allows us to accurately predict which adolescents are at a high risk of infection, enabling the implementation of targeted screening strategies for early detection and intervention. To improve the testing status of adolescents in the country, we recommend considering demographic factors such as age, age at first sexual encounter, exposure to family planning, recent sexual activity, and other identified predictors.

Pandemic fatigue, behavioral intention and predictors of COVID-19 vaccination among individuals living with HIV in Bench Sheko Zone, in Southern Ethiopia, application of TBP: a facility based cross sectional study.

Introduction: People living with HIV often face inequalities and negative outcomes, which make them vulnerable. To protect this population and achieve herd immunity, it is crucial for COVID-19 vaccination efforts to prioritize and encourage vaccination among people living with HIV (PLWH). However, in Ethiopia, there is a lack of motivation in this regard. To tackle this issue, a study was conducted in the Bench Sheko Zone of Southwest Ethiopia. The study aimed to assess pandemic fatigue, behavioral intention to get vaccinated, and factors influencing COVID-19 vaccine acceptance among PLWH in that region. Methods: A facility-based cross-sectional study was conducted among individuals living with HIV who were over 18 years old in Bench-Sheko Zone, located in Southwest Ethiopia. The study included a total of 590 participants from four ART healthcare facilities within the zone. The researchers utilized the Theory of Planned Behavior to examine the predictors of intention to use preconception care. Multiple linear regression analysis was employed to determine these predictors, with a p-value of less than 0.05 considered as indicative of a significant association. The final analysis of the study involved the use of linear regression analysis, and the measure of association was presented as the standardized B coefficient following a multivariable logistic regression analysis. Result: In the conducted study, the response rate was an impressive 98%. The researchers aimed to investigate the behavioral intention toward the COVID-19 vaccine, which was found to be 55.7%. The average age of the participants in the study was 34.65 ± 6.67. The study was the assessment of pandemic fatigue, which had a mean value of 17.22 ± 5.28. During the multivariate linear regression analysis, four predictor variables were identified. Among these, three variables, namely subjective norm, pandemic fatigue, and age, positively influenced the behavioral intention toward the COVID-19 vaccine. Comprehending these factors can assist healthcare professionals and policymakers in formulating precise interventions and strategies aimed at enhancing the acceptance and adoption of vaccines. Conclusion: The study indicates that individuals living with HIV have shown lower vaccine intention compared to previous research. The study identifies subjective norm, pandemic control measures, income, and age as predictors of individuals' intention to receive the COVID-19 vaccine.

Prevalence and determinants to COVID-19 vaccine hesitancy among people living with HIV in Bench Sheko zone, Southwest Ethiopia: A multi-center study.

Introduction: In 2019, the World Health Organization (WHO) identified coronavirus disease-2019 (COVID-19) as one of the top 10 threats to global health. Currently, vaccine hesitancy is the most common obstacle to reducing COVID-19 incidence and achieving herd immunity worldwide. Understanding the factors influencing vaccine hesitancy in this specific population is crucial for developing targeted interventions to improve vaccine uptake and protect vulnerable communities. Therefore, this study aimed to evaluate the prevalence and determinants of COVID-19 vaccine hesitancy among people living with human immunodeficiency virus (HIV) who receive care at public health facilities in Bench Sheko Zone, Southwest Ethiopia. Methods: A multi-center study was employed, involving multiple healthcare facilities within the Bench Sheko Zone from January 1 to 30 February 2023 to assess the prevalence and determinants of hesitancy to COVID-19 vaccination among people living with human deficiency virus (PLHIV). Data were collected by using pre-tested interviewer administered questionnaires and document review, and entered into Epi-data version 3.1 then exported to and analyzed by using SPSS version 24. Statistical significance was assessed by using multivariable logistic regression analysis by determining odds ratios and 95% confidence interval. Multi-Collinearity and model fitness were also checked. Results: According to the study, the prevalence of COVID-19 vaccine hesitancy was found to be 47.9%, [95% CI, 43.8-52.0]. One significant finding was that younger individuals (age ≤25years) [AOR = 2.30, 95%CI, 1.15-4.57] exhibited a higher level of hesitancy compared to their older counterparts. Additionally, the study identified monthly income≤3000 birr [AOR = 0.57, 95%CI, 0.31-0.92], urban residence [AOR = 0.61, 95%CI, 0.42-0.91], HIV stage one [AOR = 0.44, 95%CI, 0.27-0.73] and human immunodeficiency virus (HIV) clinical stage two of HIV [AOR = 0.60, 95CI, 0.39-0.93] as determinants of vaccine hesitancy. Conclusion: According to our study finding in southwest Ethiopia, individuals living with HIV were found to have a higher level of hesitancy towards receiving the COVID-19 vaccine as compared with center for disease control and prevention estimate of vaccine hesitancy. The study also identified several factors that contribute to vaccine hesitancy, including age, urban of residence, income level, and HIV clinical stage. Addressing the identified factors in this specific population could decrease the hesitancy. To ensure the success of vaccination campaigns in the region, policymakers and stakeholders should take steps to address these underlying factors and promote greater acceptance of the COVID-19 vaccine among the population.

Dental caries and associated factors among preschool children in Southwest Ethiopia: a cross-sectional study.

BACKGROUND: Dental caries is a global public health problem, especially for young children. This study aimed to assess the prevalence of dental caries and its associated factors among preschool children in Mizan Aman town, Southwest Ethiopia. METHODS: A school-based cross-sectional study was conducted from 1 October to 1 December 2022. A total of 354 children and their parents participated using simple random sampling techniques. Data were collected through an oral clinical examination, interviewing the parents and measuring the anthropometry of the children. RESULTS: The prevalence of dental caries was 36.4% (95% CI 31.2% to 41.8%). Night feeding (adjusted OR (AOR)=3.98, 95% CI 1.56 to 10.15), children who did not brush their teeth under parental supervision (AOR=2.98, 95% CI 1.60 to 5.57), body mass index (AOR=3.48, 95% CI 1.30 to 9.41) and history of dental visits (AOR=3.05, 95% CI 1.61 to 5.81) were significantly associated with dental caries. CONCLUSION: The prevalence of dental caries in preschool children was found to be high. Children who did not brush their teeth under parental supervision, who had experience of night feeding, who had a high body mass index and who had a history of dental visits were at risk for dental caries. Prevention of those identified modifiable risk factors should be considered to reduce dental caries.

Determinants of Cervical Cancer Screening Among Women Aged 30-49 Years Old in Four African Countries: A Cross-Sectional Secondary Data Analysis.

BACKGROUND: Early-stage cervical cancer screening is essential for providing women with a better chance of receiving effective treatment for precancerous and cancer stages. Delay in cervical cancer screening results in late presentation and cancer metastasis. National-level cervical cancer screening in resource-limited countries was scarce and not well studied in Africa based on national data specifically in Kenya, Cameroon, Nambia, and Zimbabwe. OBJECTIVE: To determine the prevalence and determinants of cervical cancer screening among eligible women in Kenya, Cameroon, Nambia, and Zimbabwe. METHODS: This study analyzed demographic and health survey data from Kenya, Cameroon, Nambia, and Zimbabwe. The data were extracted and analyzed by STATA version 15 and further analysis was done. Intraclass correlation coefficient, median odds ratio, and proportional change in variance were calculated to check the appropriateness of multilevel analysis. Variables with P-value < .25 were selected for multivariable multilevel logistic regression analysis. Finally, statistical significance between dependent and independent variables was assessed by odds ratios and 95% confidence intervals. RESULTS: The prevalence of cervical cancer screening in 4 African countries (Nambia, Kenya, Cameroon, and Zimbabwe) was 23.4 [95%CI: 22.8-24.1]. The determinants identified in this study were women of age 41-50 years [AOR = 1.47; 95% CI 1.24, 1.73], rural residence [AOR = .67; 95% CI .55, .81], women who have their own work [AOR = 1.1; 95% CI 1.0, 1.37], smoking status [AOR = 1.89; 95% CI 1.17, 3.0], age at first birth >=35 [AOR = 5.27; 95% CI 1.29-21.52], condom use [AOR = 1.79; 95% CI 1.46,2.19], husbands having worked [AOR = 1.5; 95% CI 1.08,2.11], rich household wealth [AOR = 1.43; 95% CI 1.13,1.8], and having health insurance [AOR = 2.2; 95% CI 1.8,2.7]. CONCLUSION: The prevalence of cervical cancer screening in Kenya, Cameroon, Nambia, and Zimbabwe was low as compared to World Health Organization (WHO) recommendations. Age, residence, work status, smoking status, women's age at first birth, condom use, husbands having work, wealth status, and health insurance were the identified determinants of cervical cancer screening. Programme and policy interventions could address younger, rural residence women, poor wealth status women, women without work, and those who never use health insurance for the uptake of cervical cancer screening.

Determinants of early initiation of first antenatal care visit in Ethiopia based on the 2019 Ethiopia mini-demographic and health survey: A multilevel analysis.

BACKGROUND: Early initiation of the first antenatal care visit provides a critical opportunity for health promotion, disease prevention, and curative care for women and their unborn fetuses. However, in developing countries, including Ethiopia, it is underutilized and most of the pregnant women didn't attend antenatal care visits during the first trimester (early). Therefore, the objective of this study was to estimate the prevalence of early initiation of antenatal care visits and its determinants among reproductive-age women in Ethiopia. METHODS: A secondary data analysis was done based on the 2019 intermediate Ethiopian demographic health survey. The data were weighted by sampling weight for probability sampling and non-response to restore the representativeness of the data and have valid statistical estimates. Then, a total weighted sample of 2,935 women aged 15-49 years who gave birth in the five years preceding the survey and who had antenatal care visits for their last child was included. A multilevel mixed-effects logistic regression model was fitted to examine the determinants of early initiation of first antenatal care visits. Finally, statistical significance was declared at a p-value < 0.05. RESULTS: In this study, the overall magnitude of early initiation of the first antenatal care visit was 37.4% (95%CI: 34.6-40.2%). Women who attend higher education (AOR = 2.26: 95%CI; 1.36-3.77), medium wealth status (AOR = 1.80: 95%CI; 1.17-2.76), richer wealth status (AOR = 1.86: 95%CI; 1.21, 2.85), richest wealth status (AOR = 2.34: 95%CI; 1.43-3.83), living in Harari region (AOR = 2.24: 95%CI; 1.16-4.30), and living at Dire-Dawa city (AOR = 2.24: 95%CI; 1.16-4.30) were higher odds of early initiation of first ANC visits. However, women who were rural resident (AOR = 0.70: 95%CI; 0.59-0.93), household headed by male (AOR = 0.87: 95%CI; 0.72, 0.97), having ≥ 5 family size (AOR = 0.71: 95%CI; 0.55-0.93), and living in SNNPRs (AOR = 0.44: 95%CI; 0.23-0.84) were lower odds of early initiation of first ANC visits. CONCLUSION: The prevalence of early initiation of first antenatal care remains low in Ethiopia. Women's education, residence, wealth status, household head, having ≥ 5 family sizes, and region were determinants of early initiation of first antenatal care visits. Improving female education and women's empowerment through economic transitions with special attention given to rural and SNNPR regional state residents could maximize the early initiation of first antenatal care visits. Furthermore, to increase early antenatal care uptake, these determinants should be considered when designing new policies or updating policies and strategies on antenatal care uptake to help increase early attendance, which can help in the reduction of maternal and neonatal mortality and to achieve sustainable development goals 3 by 2030.

Prevalence and its predictors of intimate partner violence against pregnant women amid COVID-19 pandemic in Southwest Ethiopia, 2021: A cross-sectional study.

OBJECTIVES: Preventive measures like staying-at-home and social distancing are among the top strategies on the list to avert the spread of coronavirus disease 2019 and its consequences. However, this strategy brings off another shadow pandemic of intimate partner violence against women, and no study has been done to assess the magnitude of intimate partner violence against pregnant women during the pandemic in Ethiopia. Therefore, this study was aimed to determine the prevalence of intimate partner violence and its predictors in Southwest Ethiopia amid the coronavirus disease 2019 pandemic. METHODS: A community-based cross-sectional study was conducted, from 15 June 2021 to 15 August 2021, on a total of 590 pregnant women recruited by systematic random sampling techniques. Pretested structured questionnaires were used to collect data, and the data were entered using EpiData version 3.1 and analyzed by SPSS version 24. Logistic regression analysis was used to identify predictors of intimate partner violence. Finally, statistical significance was declared at a p-value <0.05. RESULTS: The prevalence of intimate partner violence was 39.2%. Of this, 29.8%, 26.8%, and 22.2% of the pregnant women had experienced physical, sexual, and emotional intimate partner violence, respectively. Being illiterate (adjusted odds ratio = 2.36, 95% confidence interval: 1.33-4.19), having illiterate husbands (adjusted odds ratio = 4.79, 95% confidence interval: 2.69-8.55), household decisions made by the husband alone (adjusted odds ratio = 4.91, 95% confidence interval: 3.74-9.33), and pandemic-induced economic downturns (adjusted odds ratio = 9.03, 95% confidence interval: 5.18-15.98) were the predictors that were significantly associated with intimate partner violence. CONCLUSION: The prevalence of intimate partner violence against pregnant women during the coronavirus disease 2019 pandemic has been found to be high in the study area. Thus, more efforts should be tried to integrating intimate partner violence screening in maternal and child healthcare services, and early identification of high-risk individuals, and continuous community-based awareness creation activities are recommended.

Magnitude and determinants of unmet need for family planning among reproductive age women in East Africa: multilevel analysis of recent demographic and health survey data.

INTRODUCTION: Unmet need for family planning is the main obstacle to achieve healthy timing and desired number of children. Decreasing the unmet need for FP respects and protects human right and help to decrease the influence on biodiversity. Unmet need for family planning is the contributor and devastating issue of maternal health. Therefore, meeting the unmet need of contraceptive averts the maternal death and poverty. Therefore, determining the magnitude and its determinants is very important to intervene and design appropriate program umbrella. OBJECTIVE: To determine the magnitude and its determinants of unmet need for family planning among reproductive age women in East Africa. METHOD: This study was analyzed secondary data from Demographic and Health Surveys (DHS) of which contained detailed family planning for all interviewed women aged 15 to 49 years. The data were weighted using sampling weight before any statistical analysis to account the sampling design. STATA version 15 was used for extracting, editing, recoding, and multilevel analysis. Median odds ratio (MOR), proportional change in Variance (PCV), Intraclass correlation coefficient (ICC), and Akaike Information Criteria (AIC) was analyzed. Four model was build and the best model was selected based on the smallest Akaike Information Criteria (AIC). Both bivariable and multivariable multilevel analysis was done. Variable with p-value< 0.25 were selected for multivariable multilevel logistic regression analysis. Variables with p-value ≤5% declared as statistical significant with outcome variable. RESULTS: The magnitude of unmet need for family planning was 24.66% (95%CI: 24.1-25.2). The identified determinants of unmet need for family planning was 30-39 years (AOR = 0.7; 95% CI 0.54-0.91), age of 40-49 (AOR = 0.76; 95% CI 0.58-0.99), rural residence (AOR = 1.17; 95% CI 1.02-1.34), female household head (AOR = 0.66; 95% CI 0.61-0.73), women having 4-6 child (AOR = 1.76; 95% CI 1.55-1.99), women having 7-9 child (AOR = 2.77; 95% CI 2.34-3.28) women having ≥10 child (AOR = 3.51; 95% CI 2.58-4.78), women who give their first birth 19-25 years (AOR = 1.1; 95% CI 1.0-1.26), 26-34 years (AOR = 1.4; 95% CI 1.19-1.83) ≥35 years (AOR = 2.1; 95% CI 1.1-4.27) and no fertility desire (AOR = 1.52; 95% CI 1.36-1.67) were the determinants of unmet need for family planning in east Africa. CONCLUSION: Unmet need in east Africa is high as compare to other previous study. Maternal age, residence, sex of household head, number of children, age at first birth and fertility desire were the determinants identified in this study. Therefore, health interventions that reduce unmet need which enhance family planning service delivery among rural, male-headed household, women having more than three children and women who had no fertility desire needed in advance. Policies and programs of unmet need should be tailored the rural, young and no fertility desire women as well as male headed households.