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.

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.

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.

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.