Spatial distribution and determinants of Early sexual initiation in Ethiopia.

INTRODUCTION: Early sexual initiation has negative health, social, and economic consequences for both women and future generations. The trend of early sexual initiation is increasing globally, leading to higher rates of sexually transmitted diseases and unplanned pregnancies. Ethiopia has been challenged various disasters that makes women vulnerable and position them at heightened risk of early sexual initiation in the last four years. The spatial patterns and factors of early sexual initiation in the post-conflict-post pandemic settings is not well understood. Hence this research aimed at mapping Spatial Patterns and identifying determinant factors in the Post-COVID-Post-Conflict Settings. METHODS: The study was conducted on secondary data from the PMA 2021 cross-sectional survey which conducted nationally from November 2021 to January 2022 which is in the post pandemic and post-war period. Total weighted sample of 6,036 reproductive age women were included in the analysis. ArcGIS Pro and SaTScan software were used to handle spatial analysis. Multilevel logistic regression model was used to estimate the effects of independent variables on early sexual initiation at individual and community level factors. Adjusted odds ratio with the 95% confidence interval was reported to declare the strength and statistical significance of the association. RESULT: The spatial distribution of early sexual initiation was clustered in Ethiopia with a global Moran's I index value of 0.09 and Z-score 6.01 (p-value < 0.001).Significant hotspots were detected in East Gojjam zone of Amhara region, Bale, Arsi, West Hararge, East Wellega and Horo Gudru Wellega zones of Oromia region. The odds of having early sexual initiation was higher in women with primary education (AOR = 1.23, 95%CI: 1.03, 1.47), secondary or above education (AOR = 4.36, 95%CI: 3.49, 5.44), Women aged 26 to 25 (AOR = 1.91, 95%CI: 1.61, 2.26), women aged 36 to 49(AOR = 1.51, 95%CI: 1.24, 1.84). However, there was a significant lower likelihood of early sexual initiation in rural resident women (AOR = 0.53, 95%CI: 0.35, 0.81) and women living in 5 to 7 family size (AOR = 0.79, 95%CI: 0.68, 0.92), and more than 7 members (AOR = 0.63, 95%CI: 0.49, 0.81). CONCLUSIONS: The spatial distribution of early sexual initiation was clustered in Ethiopia. Interventions should be taken to eliminate the observed variation by mobilizing resources to high-risk areas. Policies and interventions targeted to this problem may also take the identified associated factors into account for better results.

Effective breastfeeding techniques and associated factors among lactating women in Ethiopia: A systematic review and meta-analysis.

BACKGROUND: Effective breastfeeding is crucial for maternal and child health, particularly in low-resource settings like Ethiopia. It encompasses a range of skills and strategies, including proper latch, positioning, and frequency of feeding. These techniques not only ensure sufficient milk transfer but also foster bonding between mother and child, enhancing the breastfeeding experience. To effectively prioritize maternal and child health, it is crucial to comprehensively understand the prevalence and factors influencing effective breastfeeding nationwide. Therefore, this study aimed to provide a pooled prevalence of effective breastfeeding techniques and associated factors among lactating mothers in Ethiopia. METHODS: The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist, focusing on studies conducted in Ethiopia. We identified eight relevant studies through Google Scholar, Medline, PubMed, Scopus, and the Cochrane Library. Analysis was conducted using STATA version 11, and systematic data extraction employed a checklist to extract relevant data. I2 tests and the Cochrane Q test statistic were used to evaluate heterogeneity. To explore potential publication bias, Egger's weighted regression, Begg's test, and a funnel plot were utilized. RESULTS: We identified a total of 955 research articles. Eight studies meeting the eligibility criteria were incorporated into this meta-analysis and systematic review. The pooled prevalence of effective breastfeeding techniques was 41.99% [95% CI 32.16-51.81]. According to the results of the current meta-analysis, effective breastfeeding techniques were significantly associated with antenatal care follow-up [OR = 1.75, 95% CI 1.10-2.78], maternal educational status [OR = 2.70, 95% CI 1.55-4.71], breastfeeding technique counseling [OR = 2.02, 95% CI 1.41-2.90], the absence of breast problems [OR = 2.26, 95% CI 1.49-3.43], breastfeeding experience [OR = 1.98, 95% CI 1.14-3.46], and immediate skin-to-skin contact [OR = 2.32, 95% CI 1.56-3.44]. CONCLUSION: Our findings highlight the vital role of various factors in shaping effective breastfeeding. IMPLICATIONS: To improve practices and health outcomes, we recommend targeted interventions, such as strengthening antenatal care, implementing maternal education, and providing comprehensive breastfeeding counseling. Proactively addressing breast problems and prioritizing immediate skin-to-skin contact is crucial for successful breastfeeding.

Health professionals' acceptance of mobile-based clinical guideline application in a resource-limited setting: using a modified UTAUT model.

INTRODUCTION: Clinical guidelines are crucial for assisting health professionals to make correct clinical decisions. However, manual clinical guidelines are not accessible, and this increases the workload. So, a mobile-based clinical guideline application is needed to provide real-time information access. Hence, this study aimed to assess health professionals' intention to accept mobile-based clinical guideline applications and verify the unified theory of acceptance and technology utilization model. METHODS: Institutional-based cross-sectional study design was used among 803 study participants. The sample size was determined based on structural equation model parameter estimation criteria with stratified random sampling. Amos version 23 software was used for analysis. Internal consistency of latent variable items, and convergent and divergent validity, were evaluated using composite reliability, AVE, and a cross-loading matrix. Model fitness of the data was assessed based on a set of criteria, and it was achieved. P-value < 0.05 was considered for assessing the formulated hypothesis. RESULTS: Effort expectancy and social influence had a significant effect on health professionals' attitudes, with path coefficients of (ß = 0.61, P-value < 0.01), and (ß = 0.510, P-value < 0.01) respectively. Performance expectancy, facilitating condition, and attitude had significant effects on health professionals' acceptance of mobile-based clinical guideline applications with path coefficients of (ß = 0.37, P-value < 0.001), (ß = 0.44, P-value < 0.001) and (ß = 0.57, P-value < 0.05) respectively. Effort expectancy and social influence were mediated by attitude and had a significant partial relationship with health professionals' acceptance of mobile-based clinical guideline application with standardized estimation coefficients of (ß = 0.22, P-value = 0.027), and (ß = 0.19, P-value = 0.031) respectively. All the latent variables accounted for 57% of health professionals' attitudes, and latent variables with attitudes accounted for 63% of individuals' acceptance of mobile-based clinical guideline applications. CONCLUSIONS: The unified theory of acceptance and use of the technology model was a good model for assessing individuals' acceptance of mobile-based clinical guidelines applications. So, enhancing health professionals' attitudes, and computer literacy through training are needed. Mobile application development based on user requirements is critical for technology adoption, and people's support is also important for health professionals to accept and use the application.

Evaluating digital literacy of health professionals in Ethiopian health sectors: A systematic review and meta-analysis.

BACKGROUND: Digital literacy refers to the capacity to critically assess digital content, use digital tools in professional settings, and operate digital devices with proficiency. The healthcare sector has rapidly digitized in the last few decades. This systematic review and meta-analysis aimed to assess the digital literacy level of health professionals in the Ethiopian health sector and identify associated factors. The study reviewed relevant literature and analyzed the data to provide a comprehensive understanding of the current state of digital literacy among health professionals in Ethiopia. METHODS: The study was examined by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Evidence was gathered from the databases of Google Scholar, Pub Med, Cochrane Library, Hinari, CINAHL, and Global Health. Consequently, five articles met the eligible criteria for inclusion. The analysis was carried out using STATA version 11. The heterogeneity was evaluated using the I2 test, while the funnel plot and Egger's regression test statistic were used to examine for potential publication bias. The pooled effect size of each trial is evaluated using a random effect model meta-analysis, which provides a 95% confidence interval. RESULT: A total of five articles were included in this meta-analysis and the overall pooled prevalence of this study was 49.85% (95% CI: 37.22-62.47). six variables, Monthly incomes AOR = 3.89 (95% CI: 1.03-14.66), computer literacy 2.93 (95% CI: 1.27-6.74), perceived usefulness 1.68 (95% CI: 1.59-4.52), educational status 2.56 (95% CI: 1.59-4.13), attitude 2.23 (95% CI: 1.49-3.35), perceived ease of use 2.22 (95% CI: 1.52-3.23) were significantly associated with the outcome variable. CONCLUSION: The findings of the study revealed that the overall digital literacy level among health professionals in Ethiopia was relatively low. The study highlights the importance of addressing the digital literacy gap among health professionals in Ethiopia. It suggests the need for targeted interventions, such as increasing monthly incomes, giving computer training, creating a positive attitude, and educational initiatives, to enhance digital literacy skills among health professionals. By improving digital literacy, health professionals can effectively utilize digital technologies and contribute to the advancement of healthcare services in Ethiopia.

Birth preparedness and pregnancy complication readiness and associated factors among pregnant women in Ethiopia: A multilevel analysis.

Maternal and child deaths occur during pregnancy and delivery. Timely information on signs of pregnancy complications and ways to plan for normal birth is a strategy to reduce maternal and child deaths. The purpose of this study was to assess birth preparedness, and pregnancy complications readiness and identify associated factors in Ethiopia. A cross-sectional study design was used. A total of 1635 weighted samples of pregnant women were included for analysis from the 2016 Ethiopian demographic and health survey data set. Multilevel mixed-effect logistic regression was used to estimate the effects of potential variables on birth preparedness and complication readiness. STATA version 15 software was used for data processing and analysis. A variable with a p-value < 0.05 with a 95% confidence interval was considered a significant factor. Pregnant women were informed about convulsions (8.02%), fever (35.95%), abdominal pain (28.92%), leaking fluid from the vagina (28.21%), and blurred vision (17.98%). Pregnant women prepared for supplies needed for birth (38.70%), transportation (20.04%), money (18.97%), people's support for birth (5.03%), and blood donors (3.11%). Only 56% and 44.91% of pregnant women had good birth preparedness and were informed about pregnancy complications respectively. Educational status, antenatal care visits, and region were significant factors associated with birth preparedness and complication readiness. Distance to health facility and residency were significantly associated with birth and complication readiness, respectively. Birth preparedness and complication readiness among pregnant women were low in Ethiopia. Empowering women with education, installing safe roads, building accessible health facilities, and emphasizing pregnancy complications and birth preparedness plans during antenatal care visits are important interventions to enhance birth preparedness and pregnancy complication readiness.

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study.

BACKGROUND: A partograph is a pictorial representation of the relationship between cervical dilatation and the time used to diagnose prolonged and obstructed labor. However, the utilization of paper-based partograph is low and it is prone to documentation errors, which can be avoided with the use of electronic partographs. There is only limited information on the proportion of intention to use mobile-based partographs and its predictors. OBJECTIVE: The objective of this study was to determine the proportion of obstetric health care providers at public referral hospitals in Oromia, Ethiopia, in 2022 who had the intention to use mobile-based partographs and to determine the predictors of their intention to use mobile-based partographs. METHODS: We performed an institution-based cross-sectional study from June 1 to July 1, 2022. Census was conducted on 649 participants. A self-administered structured English questionnaire was used, and a 5% pretest was performed. Data were entered into EpiData version 4.6 and exported to SPSS version 25 for descriptive analysis and AMOS (analysis of moment structure; version 23) for structural and measurement model assessment. Descriptive and structural equation modeling analyses were performed. The hypotheses developed based on a modified Technology Acceptance Model were tested using path coefficients and P values <.05. RESULTS: About 65.7% (414/630; 95% CI 61.9%-69.4%) of the participants intended to use mobile-based electronic partographs, with a 97% (630/649) response rate. Perceived usefulness had a positive influence on intention to use (ß=.184; P=.02) and attitude (ß=.521; P=.002). Perceived ease of use had a positive influence on attitude (ß=.382; P=.003), perceived usefulness (ß=.503; P=.002), and intention to use (ß=.369; P=.001). Job relevance had a positive influence on perceived usefulness (ß=.408; P=.001) and intention to use (ß=.185; P=.008). Attitude positively influenced intention to use (ß=.309; P=.002). Subjective norms did not have a significant influence on perceived usefulness (ß=.020; P=.61) and intention to use (ß=-.066; P=.07). CONCLUSIONS: Two-thirds of the obstetric health care providers in our study intended to use mobile-based partographs. Perceived usefulness, perceived ease of use, job relevance, and attitude positively and significantly influenced their intention to use mobile-based electronic partographs. The development of a user-friendly mobile-based partograph that meets job and user expectations can enhance the intention to use.

Knowledge of telemedicine and its associated factors among health professional in Ethiopia: A systematic review and meta-analysis.

INTRODUCTION: Telemedicine is a useful tool for decreasing hospital stress, patient suffering, ambulance needs, hospital anxiety, and costs while improving the standard of care. Nonetheless, the lack of awareness regarding telemedicine poses a barrier to its application, presenting several difficulties in underdeveloped nations like Ethiopia. This review evaluates Ethiopian-specific telemedicine knowledge and associated factors. METHODS: This systematic review was conducted using a search of several online databases in addition to the main databases, like Medline, PubMed, Scopus, and Science Direct. The writers have looked for, reviewed, and summarized information about telemedicine knowledge in the healthcare system. This study contained seven studies that examined telemedicine knowledge in the Ethiopian healthcare sector. Studies that followed the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) were found using search engines. The investigation was carried out using STATA version 11. The indicator of heterogeneity (I2) was used to assess the level of heterogeneity among the included studies. The funnel plot was visually inspected, and Egger's regression test was run to check for publication bias. The pooled effect size of every study is estimated using a random-effect model meta-analysis. RESULTS: Examination of 2160 studies, seven studies involving 2775 health professionals, and seven out of the 2160 publications assessed satisfied the inclusion criteria and were added to the systematic review and meta-analysis. The pooled prevalence of Telemedicine knowledge was 45.20 (95% CI: 34.87-55.53). Whereas the pooled factor was computer training was 2.24 times (AOR = 2.24 (95%; CI: 1.64-3.08)), computer access was 2.07 times (AOR = 2.07 (95% CI: 1.50-2.87)), internet access was 3.09 times (AOR = 3.09 (95% CI: 1.34-7.13)), social media access were 3.09 times (AOR = 3.09(95%; CI: 1.34-7.13)), educational status degree and above were 2.73 times (AOR = 2.73; 95% CI: 0.85-8.82), Awareness were 3.18 times (AOR = 3.18 (95%; CI: 1.02-9.91)), Management support was 1.85 (AOR = 1.85 (95% CI: 01.25-2.75)), computer literacy were 2.90 times (AOR = 2.90 (95% CI: 1.81-4.64)), computer owner were 1.70 times (AOR = 1.70 (95% CI: 1.05-2.76)), male gender were 1.95 times (AOR = 1.95 (95% CI: 1.32-2.87)). CONCLUSION: The overall pooled prevalence of telemedicine knowledge was low. Gender, education, management support, computer access, social media access, internet access, telemedicine awareness, and telemedicine training associated with telemedicine knowledge.

Exploring the interplay between food security and antenatal care utilization among pregnant women in Southern Ethiopia: Insights from an institution-based cross-sectional study.

Background: Ensuring the satisfaction of pregnant women with antenatal care is crucial for positive pregnancy outcomes and their engagement with emerging technologies and alternative care models. Maintaining high satisfaction during the antenatal period significantly impacts the well-being of both the expectant mother and the unborn child. Despite the recognized importance of antenatal care satisfaction, comprehensive information on satisfaction levels and influencing factors in the specific study area is lacking. Therefore, this study aims to assess antenatal care service satisfaction and associated factors among pregnant women in Arba Minch town, southern Ethiopia. Methods: We conducted an institution-based cross-sectional study among 418 pregnant women from December 2022 to January 30, 2023, using a systematic sampling method. Data were collected using the Kobo Toolbox and analyzed with SPSS Version 26. The threshold for statistical significance was set at a p-value of less than 0.05. Results: Out of 418 participants, 54.3% (95% CI=49.4-60.4) expressed satisfaction with antenatal care services. Factors significantly associated with women's satisfaction included: being unable to read and write (AOR=2.37; 95% CI: 1.97-3.80), being aged 25-29 years (AOR=3.20; 95% CI: 1.65-6.22), receiving antenatal care at a hospital (AOR=1.81; 95% CI: 1.05-3.12), having a previous history of antenatal visits (AOR=2.59; 95% CI: 1.26-5.30), a monthly income of 2500-5000 ETB (AOR=1.44; 95% CI: 1.21-3.94), waiting times of less than 30 min (AOR=2.59; 95% CI: 1.52-4.41), maintaining a positive attitude towards antenatal care (AOR=2.50; 95% CI: 1.05-3.65), and having a secure food source (AOR=2.06; 95% CI: 1.13-3.78). Conclusion: Over 54% of participants were satisfied with antenatal care services. To improve satisfaction levels, recommended strategies include enhancing healthcare infrastructure, establishing maternity waiting areas, reducing waiting times, and expanding services to remote areas.

Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016.

BACKGROUND: An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when it occurs earlier than desired. It is one of the most important issues the public health system is currently facing, and it comes at a significant cost to society both economically and socially. The burden of an undesired pregnancy still weighs heavily on Ethiopia. The purpose of this study was to assess the effectiveness of machine learning algorithms in predicting unintended pregnancy in Ethiopia and to identify the key predictors. METHOD: Machine learning techniques were used in the study to analyze secondary data from the 2016 Ethiopian Demographic and Health Survey. To predict and identify significant determinants of unintended pregnancy using Python software, six machine-learning algorithms were applied to a total sample of 7193 women. The top unplanned pregnancy predictors were chosen using the feature importance technique. The effectiveness of such models was evaluated using sensitivity, specificity, accuracy, and area under the curve. RESULT: The ExtraTrees classifier was chosen as the top machine learning model after various performance evaluations. The region, the ideal number of children, religion, wealth index, age at first sex, husband education, refusal sex, total births, age at first birth, and mother's educational status are identified as contributing factors in that predict unintended pregnancy. CONCLUSION: The ExtraTrees machine learning model has a better predictive performance for identifying predictors of unintended pregnancies among the chosen algorithms and could improve with better policy decision-making in this area. Using these important features to help direct appropriate policy can significantly increase the chances of mother survival.

Information seeking behavior on hepatitis B virus, and its associated factors among pregnant women at teaching and specialized hospitals, Northwest Ethiopia: A cross-sectional study.

INTRODUCTION: Hepatitis B virus (HBV) infection continues to be a major public health issue worldwide. Health information-seeking behavior is critical to obtain information about health, diseases such as the Hepatitis B virus, health risks, and health promotion and it has become a major concern of health policymakers. However, there is little evidence of information-seeking behavior on the Hepatitis B virus in Ethiopia. So, this study aimed to assess Hepatitis B virus information-seeking behavior and its associated factors among pregnant women at teaching and Specialized Hospitals, in Northwest Ethiopia. METHODS: An institution-based cross-sectional study was conducted among pregnant women at teaching and specialized hospitals, in Northwest Ethiopia from May 01 to June 01, 2022. A total of 423 participants were selected using a systematic random sampling method. The data was collected through an interview-administered questionnaire by kobo-collect software. Then export into SPSS version 20 for analysis. Descriptive statistics, bi-variable, and multivariable logistic regression analyses were done to identify factors associated with Hepatitis B virus information-seeking behavior. RESULTS: The proportion of information-seeking behavior on the Hepatitis B virus among pregnant women was 40.5% (CI = 35.7, 45.6). Education(diploma and above) [AOR = 3.3, 95% CI (1.31, 8.16)], more than one ANC visit [AOR = 5.99, 95% CI (3.20, 12.31)], smart-phone ownership [AOR = 4.1, 95%CI (1.35, 12.31)], internet access [AOR = 5.1, 95%CI (1.35, 15.60)], perceived susceptibility [AOR = 2.7, 95%CI (1.38, 5.31)], perceived severity [AOR = 3.7, 95%CI (2.06, 6.55)], and self-efficacy [AOR = 1.9, 95%CI (1.03, 3.73)] were factors influencing information seeking on Hepatitis B virus. CONCLUSION: The overall proportion of information-seeking behavior on HBV among pregnant women was low. To improve information-seeking behavior on HBV among pregnant women we should connect the women to the internet and technology. Creating women's awareness about the Hepatitis B virus severity and their venerability and increasing their antenatal care (ANC) visits, self-efficacy, internet access, and women's education can improve information seeking about the Hepatitis B virus.

Intimate partner violence is independently associated with poor utilization of antenatal care in Arba Minch town, southern Ethiopia: A cross-sectional study.

To ensure the best possible health conditions for both mother and fetus throughout pregnancy, skilled healthcare professionals provide antenatal care (ANC) to expectant mothers. Even though the introduction of antenatal care has reduced maternal mortality by 34% since 2002, some atypical behaviors, such as intimate partner violence, have had a significant impact on how often women seek out expert medical treatment during pregnancy. Hence, early identification of such risk factors is very important to decrease maternal mortality from preventable causes. To assess the prevalence and factors of intimate partner violence and associated factors among pregnant women at Arba Minch town, southern Ethiopia. An institution-based cross-sectional study was conducted among 403 mothers who were enrolled from December 1, 2022, to January 30, 2023. The total sample size was allocated proportionately to the number of women attending antenatal care at each public health facility. Thus, systematic sampling was applied. Kobo Toolbox was used for data collection and cleaning, which was then analyzed using IBM SPSS Version 26. Statistical significance was determined at a p-value of less than 0.05. In this study area, the prevalence of intimate partner violence among pregnant women was 35% (95% CI: 30.5-39). The associated factors of intimate partner violence were late initiation of antenatal care (AOR = 3.81, 95% CI: 1.7, 6.04), non-autonomous women (AOR = 1.8, 95% CI: 1.18, 3.14), inadequate antenatal utilization (AOR = 3.41, 95% CI: 1.8, 6.2), and a husband with an extra wife (AOR = 6.0, 95% CI: 4.2, 10.57).This study showed that more than one-third of pregnant women in this study area were facing intimate partner violence. Having extra wife, lack of women's autonomy, less antenatal care utilization and late initiation of antenatal care were associated with Intimate Partner Violence (IPV). Therefore, it is essential to greatly empower women and provide them significant prestige in the home.

Intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, West Shoa zone, Ethiopia 2022.

BACKGROUND: Mental health problems are the most common morbidities of women during the prenatal period. In LMICs mobile phones have been identified as a good vehicle for monitoring individuals with a high risk of mental health conditions. However, evidence is scarce and the purpose of this study was to assess the intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, Ethiopia 2022. METHODS AND MATERIALS: An institutional-based cross-sectional study design was conducted from May 20th to June 20th, 2022. A total of 715 prenatal women were included and a systematic random sampling technique was employed. An interviewer-administered structured questionnaire was used. Collected data was exported to SPSS version 25 for the descriptive part, and AMOS 26 structural equation modeling was also used to describe and assess the degree and significance of relationships between variables. RESULTS: A total of 699 (97.8% response rate) responded to complete all the questionnaires. About 530 (77.3%) 95% CI (74%-80.3%) of women intended to use a mobile phone to receive mental health support. The perceived usefulness has a positive effect on attitude (ß = 0.391, p < 0.001) and intention to use (ß = 0.253, p < 0.001). The perceived ease of use influences perceived usefulness (ß = 0.253, p < 0.001) and attitude ß = 0.579, p < 0.001). The intention to use is positively affected by attitude (ß = 0.662, p < 0.001).Trust has a positive effect on perceived usefulness (ß = 0.580, p < 0.001) and intention to use (ß = 0.113, p = 0.005). Subjective norm has a direct positive effect on perceived usefulness (ß = 0.248, p < 0.001). Attitude serves as a partial mediator between perceived usefulness and intention to use and a complete mediating role between perceived ease of use and intention to use. CONCLUSION: The level of intention to use a mobile phone among prenatal women is relatively high and attitude, perceived usefulness, and trust had direct positive effects on intention to use a mobile phone. Therefore, hospitals and healthcare providers should take proactive measures to implement the strategies and policies for providing mobile phone-based mental health support to prenatal women in remote areas.

Evidence-Based Practice and Its Associated Factors among Health Professionals Working at Public Hospitals in Southwest Ethiopia.

Introduction: "Evidence-based practice" (EBP) is the process of incorporating clinical expertise and taking patient values and preferences into consideration when making clinical decisions. It is used to describe the provision of high-quality patient care. Objective: This study is aimed at assessing evidence-based practice and associated factors among health professionals working at public hospitals in Illu Aba Bora and Buno Bedele Zones, Oromia Region, Southwest Ethiopia, in 2022. Methods: An institution-based cross-sectional study design was conducted from May 8 to June 20 at public hospitals in Illu Aba Bora and Buno Bedele Zones, Oromia Region, Southwest Ethiopia. A total of 423 health professionals were included, using proportional allocation and simple random sampling. The data were collected using a self-administered questionnaire. Data was entered using EpiData version 4.6, and the collected data was cleared, arranged, coded, and then analyzed using Statistical Package for the Social Sciences version 26. Descriptive statistics and bivariable and multivariable analyses of logistic regression with AOR (95% CI) were performed at p < 0.05. Result: The study revealed that 36.2% of health professionals had good evidence-based practice. The factors found to be significantly associated with good EBP include having training in EBP (AOR = 5.43; 95% CI: 4.323, 9.532), good knowledge (AOR = 1.91; 95% CI: 1.065, 3.541), a favorable attitude (AOR = 1.91; 95% CI: 1.884, 2.342), and work experience greater than 5 years (AOR = 1.58; 95% CI: 1.482, 2.437). Conclusion: The evidence-based practice of health professionals was poor. Evidence-based practice should included in the curriculum, and also planned trainings need to be delivered to all health professionals, inorder to enhancing their knowledge as well as their attitudes by motivating them to increase evidence-based practice.

Healthcare professionals' intention to adopt mobile phone-based SMS and its predictors for adherence support and care of TB patients in a resource-limited setting: a structural equation modelling analysis.

OBJECTIVE: To assess healthcare providers' intentions and the associated factors to use mobile phone-based short message service (SMS) to support adherence and care of tuberculosis (TB) patients in the Oromia region of southwest Ethiopia. STUDY DESIGN: An institutional-based cross-sectional study was conducted from October to November 2022. STUDY SETTING: The study was conducted in public hospitals which include Mettu Karl referral hospital, Dembi Hospital, Bedelle Hospital, Darimu Hospital and Chora Hospital in Ilu Aba Bor and Buno Bedelle zones. PARTICIPANTS: A total of 625 (54.9% male and 45.1% female) health professionals participated in the study. The study participants were selected using a simple random sampling technique. All health professionals permanently working in Ilu Aba Bor and Buno Bedelle zone hospitals were included in this study. However, health professionals with less than 6 months of experience and those who were not present during the data collection period were excluded from this study. OUTCOME MEASURE: The intention to use mobile phone-based SMS to support TB patients. RESULTS: Healthcare professionals' intention to use mobile SMS was 54.4%. Effort expectancy had a significant direct effect on attitude (ß=0.162, p<0.01) and intention towards using mobile phone SMS (ß=0.329, p<0.001). The intention to use mobile phone SMS was directly influenced by facilitating conditions (ß=0.104, p<0.01) and attitude (ß=0.26, p<0.001). The relationship between effort expectancy and intention to use SMS was mediated by attitude (ß=0.043, p<0.01). CONCLUSIONS: Overall, intention to use of mobile-based SMS was high. Effort expectancy, attitude and facilitating conditions were significant factors that determined healthcare professionals' behavioural intention to use mobile phone SMS. Effort expectancy had a more significant prediction power than others. As a result, system forms that are easily interactive and applicable should be implemented to improve capacity building and support the adherence and care of TB patients.

Post-natal care: a vital chance to save mothers and infants! Exploring barriers and factors associated with it: a mixed study.

Introduction: The most effective maternal health intervention for enhancing mother and baby survival is postnatal care, yet it is also the most neglected service in Ethiopia. Less is known about postnatal care despite earlier studies concentrating on pregnancy and delivery service utilization. Postnatal care is the subject of few national and local area studies. Therefore this research aims to evaluate postnatal care utilization and barriers and associated characteristics among women in Ilubabor Zone and Buno Bedele Zone. Methods: A mixed-methods study involving women who visited immunization clinics was conducted in Southwest Ethiopia. For the quantitative part, a cross-sectional survey was conducted between June 12 and July 12, 2022. The data collected through interviews was analyzed using SPSS version 26. An adjusted odds ratio (AOR) with a 95% confidence interval (CI) and p-value was constructed to evaluate the associations between postnatal care service utilization and explanatory variables. The usage of postnatal care services was determined to be significantly correlated with explanatory variables in multivariable logistic regression with a p-value less than 0.05. This qualitative study used two focused group discussions and two in-depth interviews to gather data from purposely selected mothers, and thematic analysis was used to analyze the data. Results and Discussion: A total of 422 participants with a 100% response rate were included in the analysis. 234 (55.5%) of these underwent postnatal checks. In the quantitative section, postnatal care counseling and appointment setting, counseling on danger signs, and prior postnatal care utilization all demonstrated a statistically significant association with the use of postnatal care services (AOR = 3.6, 95% CI (1.47-7.23)), [AOR = 2, 95% CI (1.05-3.64)], and [AOR = 3, 95% CI (1.36-58), respectively). At the qualitative level, it was determined that the themes of knowledge and access were obstacles to the use of postpartum care services. Generally this study revealed that the Ilubabor Zone and Buno Bedele Zone have a poor total PNC service utilization rate. Furthermore, ignorance, conventional wisdom, religious activity, distance from facilities, environmental exposure, and waiting time were identified as barriers to postnatal care service utilization. To optimize this service, all parties involved should address these factors.

Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset.

Unmet need for contraceptives is a public health issue globally that affects maternal and child health. Reducing unmet need reduces the risk of abortion or childbearing by preventing unintended pregnancy. The unmet need for family planning is a frequently used indicator for monitoring family planning programs. This study aimed to identify predictors of unmet need for family planning using advanced machine learning modeling on recent PMA 2019 survey data. The study was conducted using secondary data from PMA Ethiopia 2019 cross-sectional household and female survey which was carried out from September 2019 to December 2019. Eight machine learning classifiers were employed on a total weighted sample of 5819 women and evaluated using performance metrics to predict and identify important predictors of unmet need of family planning with Python 3.10 version software. Data preparation techniques such as removing outliers, handling missing values, handling unbalanced categories, feature engineering, and data splitting were applied to smooth the data for further analysis. Finally, Shapley Additive exPlanations (SHAP) analysis was used to identify the top predictors of unmet need and explain the contribution of the predictors on the model's output. Random Forest was the best predictive model with a performance of 85% accuracy and 0.93 area under the curve on balanced training data through tenfold cross-validation. The SHAP analysis based on random forest model revealed that husband/partner disapproval to use family planning, number of household members, women education being primary, being from Amhara region, and previously delivered in health facility were the top important predictors of unmet need for family planning in Ethiopia. Findings from this study suggest various sociocultural and economic factors might be considered while implementing health policies intended to decrease unmet needs for family planning in Ethiopia. In particular, the husband's/partner's involvement in family planning sessions should be emphasized as it has a significant impact on women's demand for contraceptives.

Machine learning algorithms' application to predict childhood vaccination among children aged 12-23 months in Ethiopia: Evidence 2016 Ethiopian Demographic and Health Survey dataset.

INTRODUCTION: Childhood vaccination is a cost-effective public health intervention to reduce child mortality and morbidity. But, vaccination coverage remains low, and previous similar studies have not focused on machine learning algorithms to predict childhood vaccination. Therefore, knowledge extraction, association rule formulation, and discovering insights from hidden patterns in vaccination data are limited. Therefore, this study aimed to predict childhood vaccination among children aged 12-23 months using the best machine learning algorithm. METHODS: A cross-sectional study design with a two-stage sampling technique was used. A total of 1617 samples of living children aged 12-23 months were used from the 2016 Ethiopian Demographic and Health Survey dataset. The data was pre-processed, and 70% and 30% of the observations were used for training, and evaluating the model, respectively. Eight machine learning algorithms were included for consideration of model building and comparison. All the included algorithms were evaluated using confusion matrix elements. The synthetic minority oversampling technique was used for imbalanced data management. Informational gain value was used to select important attributes to predict childhood vaccination. The If/ then logical association was used to generate rules based on relationships among attributes, and Weka version 3.8.6 software was used to perform all the prediction analyses. RESULTS: PART was the first best machine learning algorithm to predict childhood vaccination with 95.53% accuracy. J48, multilayer perceptron, and random forest models were the consecutively best machine learning algorithms to predict childhood vaccination with 89.24%, 87.20%, and 82.37% accuracy, respectively. ANC visits, institutional delivery, health facility visits, higher education, and being rich were the top five attributes to predict childhood vaccination. A total of seven rules were generated that could jointly determine the magnitude of childhood vaccination. Of these, if wealth status = 3 (Rich), adequate ANC visits = 1 (yes), and residency = 2 (Urban), then the probability of childhood vaccination would be 86.73%. CONCLUSIONS: The PART, J48, multilayer perceptron, and random forest algorithms were important algorithms for predicting childhood vaccination. The findings would provide insight into childhood vaccination and serve as a framework for further studies. Strengthening mothers' ANC visits, institutional delivery, improving maternal education, and creating income opportunities for mothers could be important interventions to enhance childhood vaccination.

Attitude of mental healthcare providers toward tele-psychiatry services and associated factors at public referral hospitals in Addis Ababa city, Ethiopia.

INTRODUCTION: Health systems around the world are struggling with the massive numbers of people with mental disorders who require professional care. The treatment gap for mental disorders is high all over the world, with between 76 and 85% of people in low- and middle-income countries with severe mental disorders receiving no treatment for their mental health conditions. Tele-psychiatry is used as an alternative solution to the problem of limited mental health services and effective Tele-psychiatry service use may be achievable if mental health providers have a good attitude towards it. OBJECTIVE: To assess the attitude of mental healthcare providers toward Tele-psychiatry services and associated factors at public referral hospitals in Addis Ababa city, Ethiopia, 2022. METHOD: A Multicenter institution-based cross-sectional study was conducted among 413 mental health professionals working in public referral hospitals in Addis Ababa city, from May 04 to June 10, 2022. Data were collected by using a structured and self-administered questionnaire prepared by reviewing previous related studies. Epi Data version 3.1 and Stata version 14 were used for data entry and analysis respectively. Bivariate and multivariable logistic regression analyses were used to identify factors associated with attitudes toward Tele-psychiatry services. A statistical significance was declared at p-value < 0.05. RESULT: A total of 413 Participants were enrolled with a response rate of 91.8%. The majority of respondents 230 (55.69%) were male and the mean age of participants was 29 years (SD + 5.02). In this study the majority (49%) of mental health care professionals had a poor attitude toward Tele-psychiatry. Having electronic health technology experience [AOR 16.79; 95% CI (4.26, 29.3)], lack of training in telemedicine applications [(AOR 0.1; 95% CI (0.01, 0.41)], a good computer uses for daily work activities [AOR 3.65; 95% CI (1.14, 11.60)], availability of e-Health technology awareness program [AOR 0.16; 95% CI (0.03, 0.90)], having a positive perception about the importance of e-Health technologies[AOR 0.041; 95% CI (0.01, 0.29)] and having good knowledge of Tele-psychiatry services [AOR 6.89; 95% CI (1.8, 12.0)] were significantly associated with attitude towards Tele-psychiatry services. CONCLUSION: This study found that mental healthcare providers at a public referral hospital in Addis Ababa city generally had poor attitudes regarding Tele-psychiatry services. Considering the significant factors will improve the attitude to use tele-psychiatry services in Ethiopia.

Exploring facilitators and barriers of the sustainable acceptance of e-health system solutions in Ethiopia: A systematic review.

BACKGROUND: eHealth is the use of information and communications technologies in support of health and health-related fields, including healthcare services, health surveillance, health literature, and health education knowledge and research, has the potential to improve the delivery and support of healthcare services by promoting information sharing and evidence-based health practice. Acceptance of e-health in Ethiopia using systematic review is uncertain. As a result, this study aimed to assess barriers and facilitators of the sustainable acceptance of e-health system adoption in Ethiopia through a systematic review of the literature. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist was used to conduct this study. Relevant articles have been searched in Google Scholar, Medline, PubMed, Embrace, Web of Science, Scopus, Cochrane Library, and empirical research done in Ethiopia is the main emphasis of the search strategy. The total number of studies that satisfied the criteria for inclusion was ten. In this research, empirical data related to e-health acceptance factors were retrieved, examined, and summarized by the authors. RESULTS: This systematic review identified a total of 25 predictors that have been found in the ten studies. The identified facilitators were effort expectancy, performance expectancy, facilitating conditions, social influences, attitude, computer literacy, participant age, perceived enjoyment, and educational status, duration of mobile device use, organizational culture, and habit. Moreover, technology anxiety was the most barrier to sustainable acceptance of e-health systems in Ethiopia. CONCLUSIONS: The most common facilitator identified from the predictors was effort expectancy, which played a major role in the adoption of the e-health system in Ethiopia. Therefore, eHealth implementers and managers in those settings should give users of the system priority in improving the technical infrastructure by regularly providing them with basic facilitating conditions. They should also pay attention to the system they want to implement because doing so will improve the users' perception of the system's value and attitude.

Healthcare professionals' satisfaction toward the use of district health information system and its associated factors in southwest Ethiopia: using the information system success model.

Background: Ethiopia has the potential to use the district health information system, which is a building block of the health system. Thus, it needs to assess the performance level of the system by identifying the satisfaction of end users. There is little evidence about users' satisfaction with using this system. As a result, this study was conducted to fill this gap by evaluating user satisfaction and associated factors of district health information system among healthcare providers in Ethiopia, using the information system success model. Methods: An institutional-based cross-sectional study was conducted from November to December 2022 in the Oromia region of southwest Ethiopia. A total of 391 health professionals participated in the study. The study participants were selected using a census. Using a self-administered questionnaire, data were collected. Measurement and structural equation modeling analyses were used to evaluate reliability, the validity of model fit, and to test the relationship between the constructs, respectively, using analysis of moment structure (AMOS) V 26. Results: System quality had a positive direct effect on the respondent's system use (ß = 0.18, P-value < 0.001), and satisfaction (ß = 0.44, P-value < 0.001). Service quality had also a direct effect on the respondent's system use (ß = 0.37, P-value < 0.01), and satisfaction with using the district health information system (ß = 0.36, P-value < 0.01). Similarly, system use had also a direct effect on the respondent's satisfaction (ß = 0.53, P-value < 0.05). Moreover, computer literacy had a direct effect on the respondent's system use (ß = 0.63, P-value < 0.05), and satisfaction (ß = 0.51, P-value < 0.01). Concussions: The overall user satisfaction with using the district health information system in Ethiopia was low. System quality, service quality, and computer literacy had a direct positive effect on system use and user satisfaction. In addition, system use and information quality had a direct positive effect on healthcare professionals' satisfaction with using the district health information system. The most important factor for enhancing system use and user satisfaction was computer literacy. Accordingly, for the specific user training required for the success of the district health information system in Ethiopia, the manager should offer additional basic computer courses for better use of the system.