Spatial variation and predictors of incomplete pneumococcal conjugate vaccine (PCV) uptake among children aged 12-35 months in Ethiopia: spatial and multilevel analyses.

Background: Despite the Ethiopian government included the Pneumococcal Conjugate Vaccine (PCV) in the national expanded program for immunization in 2011, only 56% of children aged 12-23 months received the full dose of PCV. Despite some studies on PCV uptake in Ethiopia, there was a dearth of information on the geographical distribution and multilevel factors of incomplete PCV uptake. Hence, this study aimed to identify the spatial variations and predictors of incomplete PCV uptake among children aged 12-35 months in Ethiopia. Methods: The study was based on an in-depth analysis of 2016 Ethiopia Demographic Health Survey data, using a weighted sample of 3,340 women having children aged 12-35 months. Arc-GIS version 10.7 and SaTScan version 9.6 statistical software were used for the spatial analysis. To explore spatial variation and locate spatial clusters of incomplete PCV, the Global Moran's I statistic and Bernoulli-based spatial scan (SaTScan) analysis were carried out, respectively. A multilevel mixed-effect multivariable logistic regression was done by STATA version 16. Adjusted odds ratio (AOR) with its corresponding 95% CI was used as a measure of association, and variables with a p < 0.05 were deemed as significant determinants of incomplete PCV. Results: The overall prevalence of incomplete PCV in Ethiopia was found to be 54.0% (95% CI: 52.31, 55.69), with significant spatial variation across regions (Moran's I = 0.509, p < 0.001) and nine most likely significant SaTScan clusters. The vast majority of Somali, southeast Afar, and eastern Gambela regions were statistically significant hot spots for incomplete PCV. Lacking ANC visits (AOR = 2.76, 95% CI: 1.91, 4.00), not getting pre-birth Tetanus injections (AOR = 1.84, 95% CI: 1.29, 2.74), home birth (AOR = 1.72, 95% CI: 1.23, 2.34), not having a mobile phone (AOR = 1.64, 95% CI: 1.38, 1.93), and residing in a peripheral region (AOR = 4.63; 95% CI: 2.34, 9.15) were identified as statistically significant predictors of incomplete PCV. Conclusion: The level of incomplete PCV uptake was found to be high in Ethiopia with a significant spatial variation across regions. Hence, the federal and regional governments should collaborate with NGOs to improve vaccination coverage and design strategies to trace those children with incomplete PCV in peripheral regions. Policymakers and maternal and child health program planners should work together to boost access to maternal health services like antenatal care and skilled delivery services to increase immunization coverage.

Predictors of maternal health services uptake in West African region: a multilevel multinomial regression analysis of demographic health survey reports.

BACKGROUND: Pursuant to studies, receiving the three key maternal health services (Antenatal Care, Skilled Delivery Service, and Postnatal Care) in a continuum could prevent 71% of global maternal deaths. Despite the Western African region being known for its high maternal death and poor access to maternal health services, there is a dearth of studies that delve into the spectrum of maternal health services uptake. Hence, this study aimed to assess the level and predictors of partial and adequate utilization of health services in a single analytical model using the most recent Demographic and Health Survey (DHS) data (2013-2021). METHODS: This study was based on the appended women's (IR) file of twelve West African countries. STATA software version 16 was used to analyze a weighted sample of 89,504 women aged 15-49 years. A composite index of maternal health service utilization has been created by combining three key health services and categorizing them into 'no', 'partial', or 'adequate' use. A multilevel multivariable multinomial logistic regression analysis was carried out to examine the effects of each predictor on the level of service utilization. The degree of association was reported using the adjusted relative risk ratio (aRRR) with a corresponding 95% confidence interval, and statistical significance was declared at p < 0.05. RESULTS: 66.4% (95% CI: 64.9, 67.7) and 23.8% (95% CI: 23.3, 24.2) of women used maternal health services partially and adequately, respectively. Togo has the highest proportion of women getting adequate health care in the region, at 56.7%, while Nigeria has the lowest proportion, at 11%. Maternal education, residence, wealth index, parity, media exposure (to radio and television), enrolment in health insurance schemes, attitude towards wife beating, and autonomy in decision-making were identified as significant predictors of partial and adequate maternal health service uptake. CONCLUSION: The uptake of adequate maternal health services in the region was found to be low. Stakeholders should plan for and implement interventions that increase women's autonomy. Program planners and healthcare providers should give due emphasis to those women with no formal education and from low-income families. The government and the private sectors need to collaborate to improve media access and increase public enrolment in health insurance schemes.

Membership dropout rates and associated factors in a community-based health insurance scheme in southern Ethiopia: a mixed method study.

Background: Dropout from community-based health insurance (CBHI) membership is a common problem in low-income countries, even if its implementation leads to substantial improvement in the utilization of essential health services. Few studies have addressed the factors contributing to dropout rates in southern Ethiopia. Therefore, the purpose of this study was to determine the rate of CBHI dropout in southern Ethiopia as well as any contributing factors. Methods: This mixed-method cross-sectional study was conducted among 460 randomly selected CBHI-enrolled households at the Arba Minch Health and Demography Surveillance System site from November 1, 2021, to April 30, 2022. The quantitative data were collected by an open data kit (ODK). using an interviewer-based structured questionnaire and analyzed using Statistical Package for the Social Sciences (SPSS) version 25.0. Multivariable logistic regression was applied to identify significant variables. The qualitative data were used to support the quantitative findings and were gathered through in-depth interviews (by the CBHI coordinator and three purposively selected health extension workers) and focus group discussions (in two randomly selected villages). The qualitative data were analyzed using thematic analysis. Finally, triangulation was used to present both the quantitative and qualitative findings. Results: This study found that 92 (21.5%) people stopped their community-based health insurance membership. The presence of sick adults [AOR = 0.281, 95% CI (0.136-0.581)], trust of participants in the contracted health facilities [AOR = 0.227, 95% CI (0.121-0.436)], and poor knowledge of the participants [AOR = 5.518, 95% CI (1.526-19.950)] were significant predictors. Conclusion: The magnitude of the dropout rate was high in this study when compared with the national target. The absence of a sick adult, the absence of trust among participants, and the poor knowledge status of the participants were significant predictors. We suggest that the health facility managers, the CBHI coordinating office, and the district health office give priority to implementing a wide range of knowledge improvement activities and a transparent system in public health facilities. Studies with longitudinal research designs are called for at a wide range of national levels to address the limitations of this study.

Spatial variation and predictors of missing birth preparedness and complication readiness (BPCR) messages in Ethiopia.

BACKGROUND: The Birth Preparedness and Complication Readiness (BPCR) message is one of the prenatal care packages targeted at reducing maternal and neonatal mortality by avoiding unnecessary delays during labor and delivery. There is limited evidence in Ethiopia that has looked at the spatial variation of missing BPCR messages and potential predictors. Hence, this study aimed to identify spatial predictors missing BPCR messages at the national level. METHODS: The study was based on analysis of 2016 Ethiopia Demographic Health Survey data, using a weighted sample of 4771 women. Arc-GIS version 10.7 and SaTScan version 9.6 statistical software were used for the spatial analysis. To explore spatial variation and locate spatial clusters of missing BPCR messages, the Global Moran's I statistic and Bernoulli-based spatial scan (SaTScan) analysis were carried out, respectively. Hotspot (Getis-OrdGi*) analysis was conducted to identify Hotspots and Cold spotsof missing BPCR messages. Finally, spatial regression were carried out via ordinary least squares and geographically weighted regression to identify predictors of hotspots for missing BPCR messages. RESULTS: The overall prevalence of missing BPCR messages in Ethiopia was found to be 44.0% (95%CI: 42.6, 45.4%), with significant spatial variation across regions (Moran's I = 0.218, p-value<0.001) and seven most likely significant SaTScan clusters. The vast majority of Somali, central Afar, and Gambella regions were identified as statistically significant hotspots. Living in the poorest wealth quintile, having only one ANC visit, lack of access to listening to the radio, facing difficulty in accessing money, not having a mobile phone, and being not covered by health insurance were identified as significant spatial predictors of missing BPCR messages. CONCLUSION: The level of missing BPCR messages during pregnancy was found to be high in Ethiopia, with significant local variation. As a result, policymakers at the national level and local planners should develop strategies and initiatives that enhance women's economic capacities, health-seeking behavior, and media exposure. Furthermore, the regional authorities should focus on strategies that promote universal health coverage through enrolling citizens in health insurance schemes.

Health professionals' readiness to implement electronic medical record system in Gamo zone public hospitals, southern Ethiopia: an institution based cross-sectional study.

BACKGROUND: The adoption of Electronic Medical Records (EMR) by the healthcare sector can improve patient care and safety, facilitate structured research, and effectively plan, monitor, and assess disease. EMR adoptions in low-income countries like Ethiopia were delayed and failing more frequently, despite their critical necessity. The most popular way to solve the issue is to evaluate user preparedness prior to the adoption of EMR. However, little is known regarding the EMR readiness of healthcare professionals in this study setting. Therefore, the objective of this study was to assess the readiness and factors associated with health professional readiness toward EMR in Gamo Zone, Ethiopia. METHODS: An institution-based cross-sectional survey was conducted by using a pretested self-administered questionnaire on 416 study participants at public hospital hospitals in southern Ethiopia. STAT version 14 software was used to conduct the analysis after the data was entered using Epi-data version 3.2. A binary logistic regression model was fitted to identify factors associated with readiness. Finally, the results were interpreted using an adjusted odds ratio (AOR) with a 95% confidence interval (CI) and p-value less than 0.05. RESULTS: A total of 400 participants enrolled in the study, with a response rate of 97.1%. A total of 65.25% (n = 261) [95% CI: 0.60, 0.69] participants had overall readiness, 68.75% (n = 275) [95% CI: 0.64, 0.73] had engagement readiness, and (69.75%) (n = 279) [95% CI: 0.65, 0.74] had core EMR readiness. Computer skills (AOR: 3.06; 95% CI: 1.49-6.29), EMR training (AOR: 2.00; 95% CI: 1.06-3.67), good EMR knowledge (AOR: 2.021; 95% CI: 1.19-3.39), and favorable attitude (AOR: 3.00; 95% CI: 1.76-4.97) were factors significantly associated with EMR readiness. CONCLUSION: Although it was deemed insufficient, more than half of the respondents indicated a satisfactory level of overall readiness for the adoption of EMR. Moreover, having computer skills, having EMR training, good EMR knowledge, and favorable EMR attitude were all significantly and positively related to EMR readiness.

Modern contraceptive use and associated factors among reproductive-age women in Ethiopia: multilevel analysis evidence from 2019 Ethiopia mini demographic and health survey.

BACKGROUND: Despite the high fertility and population growth rates, the use of modern contraceptives remains low in low- and middle-income countries. Different pocket-sized studies on the use of modern contraceptive methods conducted in various parts of Ethiopia have been extremely varied and ambiguous. Therefore, this study aimed to assess modern contraceptive use and its associated factors in women of reproductive age in Ethiopia. METHODS: Cross-sectional data from the Ethiopia Interim Demographic Health Survey (EMDHS) 2019 in a stratified, two-stage, and cluster sampling study. Multilevel binary logistic regression analysis was used to fit the associated factors. The interclass correlation (ICC), median odds ratio (MOR), proportional change variance (PVC), and deviance were used for model comparison and fitness. The adjusted odds ratio (AOR) with 95% confidence interval (CI) was used to identify the significant factors of modern contraceptive use. RESULT: The multilevel analysis demonstrated that Orthodox religion [AOR = 1.7; 95%CI: 1.4-2.10] protestant religion [AOR = 1.2; 95%CI: 0.93-1.62], married [AOR = 4.2; 95%CI: 1.93-9.07], primary education [AOR = 1.5; 95%CI: 1.26-1.76], secondary education [AOR = 1.36; 95%CI: 1.04-1.77 [AOR = 1.89; 95%CI: 1.37-2.61], middle [AOR = 1.4; 95%CI: 1.14-1.73], rich [AOR = 1.3; 95%CI: 1.06-2.68] were positively associated with modern contraceptive utilization, while the age group of 40-49 [AOR = 0.45, 95% CI: 0.34-0.58], and high community poverty [AOR = 0.62; 95%CI: 0.46-0.83] were negatively associated with modern contraceptive utilization. CONCLUSION: The prevalence of modern contraception in Ethiopia remains low. Maternal age, religion, maternal education, marital status, wealth index, region, and community poverty were significant predictors of modern contraceptive utilization in Ethiopia. Governments and non-governmental organizations should expand their public health programs to poorer communities to increase the use of modern contraception in the country.

Spatial distribution and multilevel analysis of factors associated with long-acting reversible contraceptive use among sexually active women of reproductive age in Nigeria.

BACKGROUND: Long-acting reversible contraceptives (LARCs), including hormonal implants and intrauterine devices, are highly effective pregnancy prevention methods. Aside its advantages over other hormonal methods, LARCs are cost-effective, easy to maintain, and have a low risk of non-compliance-related method failure. Besides, LARCs are also relatively safe for all sexually active women in the postpartum or post-abortion period. However, despite its effectiveness, most sexually active women use other short-term methods, such as condoms and contraceptive pills, which are associated with high discontinuation rates. Thus, this study examines the spatial distribution and multilevel factors associated with LARC use among sexually active reproductive-age women in Nigeria. METHODS: This is a cross-sectional analysis of a population-based study from the 2018 Nigeria Demographic Health Survey (NDHS). The NDHS is a nationally representative survey that collects data on socio-demographic characteristics, sexual and reproductive health-related indicators such as contraceptive use and child & maternal health. A sample of 3,978 sexually active reproductive-age women (15-49 years) in Nigeria was used in the analysis. Frequency distribution and spatial analysis of LARC use were displayed with tables and maps, respectively, while multilevel analysis at a 95% confidence interval (CI) and a p-value of less than 0.05 was used to determine factors associated with LARC use among the sample. RESULTS: The spatial distribution of LARC use among sexually active women of reproductive age in Nigeria ranges between 20 and 34.8%. Fifteen of the 36 states (excluding the Federal Capital Territory, FCT) recorded low utilization of LARCs. These states include Adamawa, Lagos, Ogun, Enugu, Anambra, Imo, Abia, Rivers, Kogi, Taraba, Yobe, Gombe, Jigawa, Borno, and Kebbi. Besides, the likelihood of LARC use was lower among participants with a prior history of pregnancy termination [aOR = 0.62; 95%(CI = 0.48-0.80)] compared to their counterparts without pregnancy termination history. Also, participants with no fertility intention had a higher likelihood of using LARCs [aOR = 1.65; 95%(CI = 1.30-2.08)] compared to those with fertility intention. At the community level, women with higher socioeconomic status were less likely to use LARCs [aOR = 0.66; 95%(CI = 0.45-0.97)] compared to women with lower socioeconomic status. CONCLUSIONS: This study showed a relatively low utilisation of LARC among sexually active reproductive-age women in Nigeria. Notably, this low utilisation is also common in states that could be described as cosmopolitan, indicating a need for closer investigation to understand context-specific factors associated with LARC use. Population-specific family planning education and counselling for this population are important to address common misconceptions about LARCs in particular and modern contraceptive use in general.

Using geographically weighted regression analysis to assess predictors of home birth hot spots in Ethiopia.

BACKGROUND: Annually, 30 million women in Africa become pregnant, with the majority of deliveries taking place at home without the assistance of skilled healthcare personnel. In Ethiopia the proportion of home birth is high with regional disparity. Also limited evidence on spatial regression and deriving predictors. Therefore, this study aimed to assess the predictors of home birth hot spots using geographically weighted regression in Ethiopia. METHODS: This study used secondary data from the 2019 Ethiopian Mini Demographic and Health Survey. First, Moran's I and Getis-OrdGi* statistics were used to examine the geographic variation in home births. Further, spatial regression was analyzed using ordinary least squares regression and geographically weighted regression to predict hotspot area of home delivery. RESULT: According to this result, Somalia, Afar, and the SNNPR region were shown to be high risk locations for home births. Women from rural residence, women having no-education, poorest wealth index, Muslim religion follower, and women with no-ANC visit were predictors of home delivery hotspot locations. CONCLUSION: The spatial regression revealed women from rural resident, women having no-education, women being in the household with a poorest wealth index, women with Muslim religion follower, and women having no-ANC visit were predictors of home delivery hotspot regions. Therefore, governmental and other stakeholders should remain the effort to decrease home childbirth through access to healthcare services especially for rural resident, strengthen the women for antenatal care visits.

Understanding the association of mass media with the timing of antenatal care in Ethiopia: an impression from the 2016 Ethiopia demographic and health survey.

INTRODUCTION: Although the timing of antenatal care has a high potential of reducing maternal and child health problems and can be improved through different mass media exposure, it has been overlooked and remained a major life-costing delinquent issue. Therefore, the aim of this study is to identify the relationship between mass media exposure and ANC for further insight. METHODS: We used the 2016 Ethiopian Health and Demography (EDHS) data. EDHS is a community-based cross-sectional survey that applies a two-stage stratified cluster sampling and it is a country-representative. We included 4740 reproductive-age women with complete records in EDHS dataset in this study. We excluded records with missing data from the analysis. We used ordinal logistic regression followed by generalized ordinal logistic to examine mass media relationships with timely antenatal care (ANC). We presented data using numbers, mean, standard deviations, percent or proportions, coefficient of regression, and 95% confidence interval. All analyses were performed using STATA version 15. RESULT: We examined the data of 4740 participants for the history of timely initiation of ANC and found 32.69% (95% CI = 31.34, 34.03) timely ANC. Factors such as watching television (TV) less than once a week [coef. = -0.72, CI: -1.04, -0.38], watching TV at least once a week [coef. = -0.60, CI: -0.84, -0.36], listening to radio [coef. = -0.38, CI: -0.84, -0.25], and use internet every day[coef. = -1.37, CI: -2.65, -0.09], are associated with the timely ANC. CONCLUSION: Despite its association with improving the timing of ANC, our findings showed mothers need additional support on the use of the media and the timing of ANC. In addition to the mass media, other covariates such as educational status, family size, and husband's desire affected the timely ANC imitation. These need attention during implementation to avert the current. This is also an essential input for policy and decision-makers.

Determinants of childhood vaccination among children aged 12-23 months in Ethiopia: a community-based cross-sectional study.

OBJECTIVE: Childhood vaccination is a cost-effective, essential service to reach a larger population globally. Due to unclear reasons, new emergence and resurgence of vaccine-preventable diseases increase. Thus, the aim of this study is to identify prevalence and determinants of childhood vaccination in Ethiopia. DESIGN: Community-based cross-sectional study. SETTING: We used data from 2019 Ethiopia Mini Demographic and Health Survey. The survey included all the nine regional states and two city administrations of Ethiopia. PARTICIPANTS: A weighted sample of 1008 children 12-23 months of age was included in the analysis. MAIN OUTCOME MEASURES: A multilevel proportional odds model was fitted to identify determinants of childhood vaccination status. In the final model, variables with a p value of less than 5% and an adjusted OR (AOR) with a 95% CI were reported. RESULT: The full childhood vaccination coverage of Ethiopia was 39.09% (95% CI: 36.06%-42.28%). Mothers who attended primary (AOR=2.16; 95% CI: 1.43-3.26), secondary (AOR=2.02; 95% CI: 1.07-3.79) and higher education (AOR=2.67; 95% CI: 1.25-5.71); being in union (AOR=2.21; 95% CI: 1.06-4.58); kept vaccination cards (AOR=26.18; 95% CI: 15.75-43.53); children receiving vitamin A1 (AOR=4.14; 95% CI: 2.9-5.9); living in Afar (AOR=0.14; 95% CI: 0.04-0.45), Somali (AOR=0.19; 95% CI: 0.06-0.60), Gambela (AOR=0.22; 95% CI: 0.06-0.77), Harari (AOR=0.14; 95% CI: 0.04-0.52) and Dire Dawa (AOR=0.23; 95% CI: 0.06-0.79) regions; and rural residents (AOR=0.53; 95% CI: 0.30-0.93) were factors significantly associated with childhood vaccination. CONCLUSION: The full childhood vaccination coverage in Ethiopia was low and remained unchanged since 2016. The study identified that both the individual-level and community-level factors affected the vaccination status. Accordingly, public health interventions targeted to these identified factors can increase childhood full vaccination status.

Understanding Child Wasting in Ethiopia: Cross-sectional Analysis of 2019 Ethiopian Demographic and Health Survey Data Using Generalized Linear Latent and Mixed Models.

BACKGROUND: Wasting is an immediate, visible, and life-threatening form of undernutrition in children aged <5 years. Within a short time, wasting causes recurrent sickness, delayed physical and mental growth, impatience, poor feeding, and low body weight. The long-term consequences of wasting and undernutrition are stunting, inability to learn, poor health status, and poor work performance. Wasting remains a public health problem in Ethiopia. According to the World Health Organization, countries have to reduce undernutrition including child wasting to below 5% by 2025. Ethiopia is attempting to attain national and international targets of undernutrition while struggling with many problems. OBJECTIVE: This study aimed to identify the prevalence and associated factors of wasting to provide information for further renewing policy commitments. METHODS: We used community-based, cross-sectional data from the Ethiopian Mini Demographic and Health Survey. The survey was conducted in 9 regions and 2 city administrations. Two-stage cluster sampling was used to recruit study participants. In the first stage, enumerations areas were selected, and 28-35 households per enumeration area were selected in the second stage. Our analysis included 2016 women with children aged <5 years from the 2019 EMDHS data set. We dropped incomplete records and included all women who fulfilled the eligibility criteria. We used multilevel ordinal regression using Generalized Linear Latent and Mixed Models (GLLAMM) and predicted probability with log-likelihood ratio tests. Fulfilling the proportional odds model's assumption during the application of multilevel ordinary logistic regression was a cumbersome task. GLLAMM enabled us to perform the multilevel proportional odds model using an alternative method. RESULTS: In our analysis, wasting was 7.68% (95% CI 6.56%-8.93%). Around 26.82% of mothers never used antenatal care for their current child. Most mothers (52.2%) did not have formal education, and 86.8% did not have postnatal care for their children. Additionally, half (50.93%) of the mothers have ≥6 household members. Wasting was associated with feeding diverse foods (coefficient 4.90, 95% CI 4.90-4.98), female sex of the household head (-40.40, 95% CI -40.41 to -40.32), home delivery (-35.51, 95% CI -35.55 to -35.47), first (16.66, 95% CI, 16.60-16.72) and second (16.65, 95% CI 16.60-16.70) birth order, female child (-12.65, 95% CI -12.69 to -12.62), and household size of 1 to 3 (10.86, 95% CI 10.80-10.92). CONCLUSIONS: According to the target set by World Health Organization for reducing undernutrition in children aged <5 years to below 5% by 2025, child wasting of 7.68% in Ethiopia should spark an immediate reaction from the government and stakeholders. Informed policy decisions, technology-based child-feeding education, and food self-sufficiency support could improve the current challenges. Additional effort is important to improve low maternal education, family planning, awareness of sex preferences, women empowerment, and maternal health services.

Pooled prevalence and associated factors of pregnancy termination among youth aged 15-24 year women in East Africa: Multilevel level analysis.

BACKGROUND: Most of unwanted pregnancies among adolescent girls and young women (AGYW) in Africa result in pregnancy termination. Despite attempts to enhance maternal health care service utilization, unsafe abortion remains the leading cause of maternal death in Sub-Saharan Africa (SSA), there is still a study gap, notably in East Africa, where community-level issues are not studied. Therefore, this study aimed to assess pooled prevalence pregnancy termination and associated factors among youth (15-24 year-old) women in the East Africa. METHODS: The study was conducted based on the most recent Demographic and Health Surveys (DHS) in the 12 East African countries. A total weighted sample of 44,846 youth (15-24) age group women was included in this study. To detect the existence of a substantial clustering effect, the Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), and Likelihood Ratio (LR)-test were used. Furthermore, because the models were nested, deviance (-2LLR) was used for model comparison. In the multilevel logistic model, significant factors related to pregnancy termination were declared using Adjusted Odds Ratios (AOR) with a 95%Confidence Interval (CI) and p-value of 0.05. RESULT: The pooled prevalence of pregnancy termination in East African countries was 7.79% (95% CI: 7.54, 8.04) with the highest prevalence in Uganda 12.51% (95% CI: 11.56, 13.41) and lowest was observed in Zambia 5.64% ((95% CI: 4.86, 6.41). In multilevel multivariable logistic regression result, age 20-24 [AOR = 1.93; 95% CI: 1.71, 2.16], media exposure [AOR = 1.22; 95% CI: 1.12, 1.34], married [AOR = 1.32, 95% CI: 1.21, 1.43], had working [AOR = 1.13; 95% CI: 1.04, 1.23],no education[AOR = 3.98, 95% CI: 2.32, 6.81], primary education [AOR = 4.05, 95% CI: 2.38, 6.88], secondary education [AOR = 2.96, 95% CI: 1.74, 5.03], multiparous [AOR = 0.85; 95%CI: 0.79, 0.93], sexual initiation greater or equal to 15 [AOR = 0.82; 95%CI: 0.74, 0.99] were significantly associated with pregnancy termination. CONCLUSION: The pooled prevalence of pregnancy termination in East Africa was high in this study. Maternal age, marital status, education status, parity, age at first sex, media exposure, working status and living countries were significantly associated with pregnancy termination. The finding provides critical information for developing health interventions to decrease unplanned pregnancies and illegal pregnancy termination.

Predictors of Mental Health Literacy and Information Seeking Behavior Toward Mental Health Among University Students in Resource-Limited Settings.

Background: This paper investigated mental health literacy level and information seeking behavior, and mental health-related information sources in limited-resource settings, in the case of Ethiopian university students. Methods: A cross-sectional, self-administered web-based survey was conducted among Dilla University students, from 1 January to 29 February 2022, with a total of 780 respondents. We presented descriptive statistics using mean, standard deviations, and proportions. Bivariate and multivariate logistic regression were employed to identify factors associated with mental health literacy and information seeking behavior of students. Further, path analysis was also employed. Results: The result showed 71 (9.1%) respondents had a diagnosed history of mental illness. Overall, 397 (50.9%) respondents were identified as having adequate mental health literacy and 420 (53.8%) sought mental health information. In multivariate analysis, mental health literacy was significantly associated with: being female (AOR = 2.8; 95% CI (1.5-5.4)), higher digital health literacy (AOR=2.8; 95% CI (1.5-5.4), seeking mental health-related information (AOR=1.6; 95% CI: (1.1-2.5)), having family with mental illness, and students in health-related programs (AOR = 2.1; 95% CI (1.0-4.2)). Furthermore, health-related programs, level of mental health literacy, exposure to mental health problems in the family, and were associated with information seeking behavior regarding mental health. Further, path analysis revealed significant positive associations of information seeking behavior and digital health literacy with mental health literacy. Conclusion: The result indicated the status of university students' mental health literacy level and information seeking behavior were low and inadequate. This study suggests the need to improve students' digital health competencies by designing mental health literacy programs by collaboration of different stakeholders, and mental health literacy programs need to optimize access to internet and online resources in the university settings.

Digital Health Literacy During the COVID-19 Pandemic Among Health Care Providers in Resource-Limited Settings: Cross-sectional Study.

BACKGROUND: Digital health literacy is the use of information and communication technology to support health and health care. Digital health literacy is becoming increasingly important as individuals continue to seek medical advice from various web-based sources, especially social media, during the pandemics such as COVID-19. OBJECTIVE: The study aimed to assess health professionals' digital health literacy level and associated factors in Southwest Ethiopia in 2021. METHODS: An institution-based cross-sectional study was conducted from January to April 2021 in Ethiopia. Simple random sampling technique was used to select 423 study participants among health professionals. SPSS (version 20) software was used for data entry and analysis. A pretested self-administered questionnaire was used to collect the required data. Multivariable logistic regression was used to examine the association between the digital health literacy skill and associated factors. Significance value was obtained at 95% CI and P<.05. RESULTS: In total, 401 study subjects participated in the study. Overall, 43.6% (n=176) of respondents had high digital health literacy skills. High computer literacy (adjusted odds ratio [AOR] 4.43, 95% CI 2.34-5.67; P=.01); master's degree and above (AOR 3.42, 95% CI 2.31-4.90; P=.02); internet use (AOR 4.00, 95% CI 1.78-4.02; P=.03); perceived ease of use (AOR 2.65, 95% CI 1.35-4.65; P=.04); monthly income of >15,000 Ethiopian birr (>US $283.68; AOR 7.55, 95% CI 6.43-9.44; P<.001); good knowledge of eHealth (AOR 2.22, 95% CI 1.32-4.03; P=.04); favorable attitudes (AOR 3.11, 95% CI 2.11-4.32; P=.04); and perceived usefulness (AOR 3.43, 95% CI 2.43-5.44; P=.02) were variables associated with eHealth literacy level. CONCLUSIONS: In general, less than half of the study participants had a high digital health literacy level. High computer literacy, master's degree and above, frequent internet use, perceived ease to use, income of >15,000 Ethiopian birr (>US $283.68), good knowledge of digital health literacy, favorable attitude, and perceived usefulness were the most determinant factors in the study. Having high computer literacy, frequent use of internet, perceived ease of use, perceived usefulness, favorable attitude, and a high level of education will help to promote a high level of digital health literacy.

Prevalence of overweight/obesity and associated factors among under-five children in Ethiopia: A multilevel analysis of nationally representative sample.

Background: Childhood overweight and obesity are emerging public health challenges of the twety-first century. There was a 24% increase in the number of overweight children under the age of 5 years in low-income countries. Despite the significant risk of childhood overweight/obesity for non-communicable diseases, premature death, disability, and reproductive disorders in their adult life, little attention has been given. Therefore, we aimed to assess the prevalence of overweight/obesity and associated factors among under-five children. Methods: This study was conducted using data from a nationally representative sample of the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS). The Mini EDHS was a community-based cross-sectional study that covered all the administrative regions of Ethiopia. The data collection was conducted between March 21, 2019 and June 28, 2019. Both descriptive and analytic findings were produced. The overweight/obesity was measured by the weight-for-height (WFH) index, more than two standard deviations (+2 SD) above the median of the reference population based on the BMI Z-score. To identify significantly asso. Results: A total of 5,164 under-five children were included in this study cited factors of overweight/obesity, a multilevel binary logistic regression model was fitted to account for the hierarchical nature of the data. Adjusted odds ratio (aOR) with a corresponding 95% confidence interval (CI) was reported to show the strength of association and statistical significance. The overall prevalence of overweight/obesity was 2.14% (95% CI: 1.74-2.53). The odds of overweight/obesity was higher among children aged <6 months (aOR = 5.19; 95% CI: 2.98-9.04), 6-24 months (aOR = 1.97; 95% CI: 1.18-3.29), delivered by cesarean section (aOR = 1.75; 95% CI: 1.84-3.65), living in Addis Ababa city (aOR = 2.16; 95% CI: 1.59-7.81), Oromia region (aOR = 1.93; 95% CI: 1.71-5.24), having mothers with the age 40-49 years (aOR = 3.91; 95% CI: 1.90-16.92), uses traditional contraceptive methods (aOR = 2.63; 95% CI: 1.66-10.47) and households headed by male (aOR = 1.71; 95% CI: 1.84-3.48). Conclusion: This study showed that the prevalence of overweight/obesity among under-five was low in Ethiopia. There were several factors that affect childhood overweight/obesity including child age, maternal age, mode of delivery, sex of head of household, contraception use, and geography of residence. Therefore, strategies to reduce childhood overweight and obesity should consider an identified multitude of contributing factors.

Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis.

BACKGROUND: The World Health Organization (WHO) encourages breastfeeding to begin within the first hour after birth in order to save children's lives. In Ethiopia, different studies are done on the prevalence and determinants of breastfeeding initiation, up to our knowledge, the spatial distribution and the spatial determinants of breast feeding initiation over time are not investigated. Therefore, the objectives of this study were to assess spatial variation and its spatial determinant of delayed initiation of breastfeeding in Ethiopia using Geographically Weighted Regression (GWR). METHODS: A cross-sectional study was undertaken using the nationally representative 2016 Ethiopian Demographic and Health Survey (EDHS) dataset. Global Moran's I statistic was used to measure whether delayed breastfeeding initiation was dispersed, clustered, or randomly distributed in study area. Ordinary Least Squares (OLS) regression was used to identify factors explaining the geographic variation in delayed breastfeeding initiation. Besides, spatial variability of relationships between dependent and selected predictors was investigated using geographically weighted regression. RESULT: A total weighted sample of 4169 children of aged 0 to 23 months was included in this study. Delayed initiation of breastfeeding was spatially varies across the country with a global Moran's I value of 0.158 at (p-value<0.01). The hotspot (high risk) areas were identified in the Amhara, Afar, and Tigray regions. Orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small size of a child at birth were spatially significant factors for delayed breastfeeding initiation in Ethiopia. CONCLUSION: In Ethiopia initiation of breastfeeding varies geographically across region. A significant hotspot was identified in the Amhara, Afar, and Tigray regions. The GWR analysis revealed that orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small birth weight were spatially significant factors.

Stunting and Associated Factors Among 6-23 Months Age Children in Ethiopia: Application of Generalized Linear Latent and Mixed Modeling.

Low height/length-for-age (stunting) is a public health problem in Ethiopia. Efforts that have been made to evaluate factors affecting national and international strategies related to the problem are very limited and poorly achieved. The present study aimed to evaluate low length/height-for-age (stunting) and its associated factors among children 6 to 23 months of age in Ethiopia. We used cross-sectional data collected for 2019 EMDHS. We cleaned, processed, and analyzed in Stata v.15. Socio-demographic, socio-economic parameters, and nutritional (wasting, diet frequency, breast milk, and animal milk) factors were used in the analysis. We fitted Generalized Linear Latent and Mixed Model (GLLAMM) to examine the associations. We analyzed the data of 2,037 children aged 6-23 months and found stunting of 933.07(45.80%). Some factors such as home delivery [coef. = -4.58, 95% CI:-7.81,-1.34] and household size of ≥6 [coef. = -5.53, 95% CI:-10.36,-7.10] were positively associated. No current breastfeeding [coef. = 10.70, 95% CI: 2.16, 19.23] and still breastfeed [coef. = 10.68, 95% CI: 2.62, 18.74] were negatively associated with stunting. Stunting among 6-23 months aged children in Ethiopia is very high above all the national, regional, and international targets. Feeding practice, socio-economic, and psychosocial-support for mothers need revised commitment for pragmatic solution.

Prevalence and Determinants of COVID-19 Vaccine Hesitancy Among the Ethiopian Population: A Systematic Review.

Introduction: Although vaccination is the most effective way to end the COVID-19 pandemic, there are growing concerns that vaccine hesitancy may undermine its effectiveness. In Ethiopia, vaccine hesitancy forms a major challenge to the uptake of COVID-19 vaccines. This systematic review examined the prevalence and determinants of the COVID-19 vaccine hesitancy among the Ethiopian population. Methods: A systematic search of articles was conducted in PubMed, EBSCO, Google Scholar, and Semantic Scholar. Studies that evaluated the prevalence and determinants of COVID-19 vaccine hesitancy in Ethiopia were included. The identified determinants of COVID-19 vaccine hesitancy were analyzed based on the frequency of occurrence in the included studies. Results: The overall COVID-19 vaccine hesitancy level in the Ethiopian population ranged from 14.1% to 68.7%. The high COVID-19 vaccine hesitancy rate observed in this study was due to contextual factors, individual factors, and vaccine-specific factors. Young age, female sex, living in rural areas, lack of adequate information, and lower education are the most common contextual determinants of the COVID-19 vaccine hesitancy. Lack of awareness about the COVID-19 vaccine, low risk of COVID-19, poor adherence to COVID-19 prevention strategies, and negative attitude towards the COVID-19 vaccine are the most frequently reported personal factors. Common vaccine-specific determinants of COVID-19 vaccine hesitation are the side effects of the vaccine and doubts about its effectiveness of the vaccine. Conclusion: Our review showed that COVID-19 vaccine hesitancy remains highly prevalent and varied across regions of Ethiopia, with a wide variety of factors associated with it. Potential interventions on the benefits of vaccination and the adverse effects of vaccine rejection are crucial to enhance COVID-19 vaccine uptake among the Ethiopian population.

Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis.

INTRODUCTION: Undernutrition is a serious global health issue, and stunting is a key indicator of children's nutritional status which results from long-term deprivation of basic needs. Ethiopia, the largest and most populous country in Sub-Saharan Africa, has the greatest rate of stunting among children under the age of five, yet the problem is unevenly distributed across the country. Thus, we investigate spatial heterogeneity and explore spatial projection of stunting among under-five children. Further, spatial predictors of stunting were assessed using geospatial regression models. METHODS: The Ethiopia Demographic and Health Surveys (EDHS) data from 2011, 2016, and 2019 were examined using a geostatistical technique that took into account spatial autocorrelation. Ordinary kriging was used to interpolate stunting data, and Kulldorff spatial scan statistics were used to identify spatial clusters with high and low stunting prevalence. In spatial regression modeling, the ordinary least square (OLS) model was employed to investigate spatial predictors of stunting and to examine local spatial variations geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models were employed. RESULTS: Overall, stunting prevalence was decreased from 44.42% [95%, CI: 0.425-0.444] in 2011 to 36.77% [95%, CI: 0.349-0.375] in 2019. Across three waves of EDHS, clusters with a high prevalence of stunting in children under 5 years were consistently observed in northern Ethiopia stretching in Tigray, Amhara, Afar, and Benishangul-Gumuz. Another area of very high stunting incidence was observed in the Southern parts of Ethiopia and the Somali region of Ethiopia. Our spatial regression analysis revealed that the observed geographical variation of under-five stunting significantly correlated with poor sanitation, poor wealth index, inadequate diet, residency, and mothers' education. CONCLUSIONS: In Ethiopia, substantial progress has been made in decreasing stunting among children under the age of 5 years; although disparities varied in some areas and districts between surveys, the pattern generally remained constant over time. These findings suggest a need for region and district-specific policies where priority should be given to children in areas where most likely to exhibit high-risk stunting.

Prevalence and associated factors of early sexual initiation among female youth in East Africa: further analysis of recent demographic and health survey.

BACKGROUND: Early sexual initiation is one of the risky sexual practices. Early sexual beginning is associated with an increased risk of HIV/AIDS, sexually transmitted infections (STIs), unexpected pregnancies, unsafe abortion, premature deliveries, and psychosocial issues. However, there is still a lack of evidence, particularly in East Africa, where community-level factors are not investigated. Therefore, this study aimed to estimate the pooled prevalence and to identify associated factors of early sexual initiation among female youth in Eastern Africa. METHODS: A total weighted sample of 49,716 female youth was included in this analysis. STATA version 14 software was used for data extraction, recoding, and analysis. A multilevel binary logistic regression model was fitted to identify determinants of early sexual initiation in the region. Finally, Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was reported to declare the factors that are significantly associated with early sexual initiation. RESULT: The prevalence of early sexual initiation in East Africa was 21.14% [95% CI: 20.00%, 21.50%]. In the multivariable multilevel analysis; being age 20-24 years [AOR = 0.65: 95% CI; 0.61, 0.69], primary [AOR = 0.73: 95% CI; 0.67, 0.78], secondary &above education [AOR = 0.30: 95% CI; 0.27,0.33], married [AOR = 1.85: 95% CI; 1.73,1.97], middle wealth [AOR = 0.78: 95% CI; 0.72,0.84], richest [AOR = 0.74: 95% CI; 0.68,0.80], and reading newspaper [AOR 0.77: 95% CI;0.71,0.83] were significantly associated with early sexual initiation. CONCLUSION: The study revealed that early sexual initiation among female youth was high in East Africa. Educational status, respondent age, marital status, wealth index, age at first cohabitation, contraceptive use, reading newspaper, and place of residence were associated with early sexual initiation. Therefore, the survey findings will help policymakers, as well as governmental and non-governmental organizations, design the most effective interventions. Moreover, strengthening information, education, and wealth status are important intervention areas to delay the age of early sexual debut.