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.

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.

Spatial distribution and associated factors of measles vaccination among children aged 12-23 months in Ethiopia. A spatial and multilevel analysis.

INTRODUCTION: In Ethiopia, measles continues to be the cause of a significant number of vaccine-preventable infant morbidity and mortality due to the low vaccination rate. However, understanding the geographical distribution of the measles-containing vaccine first dose (MCV1) and identifying associated factors is crucial to setting up appropriate interventions. This study aimed to explore the spatial distribution and associated factors of MCV1 coverage among children aged 12-23 months in Ethiopia using national representative data. METHODS: A cross-sectional study design using a two-stage stratified sampling technique was used. The analysis was performed using STATA 14.2, ArcGIS 10.8, and SaTScan version 9.6 software. To find significant related factors with measles vaccination, researchers used multilevel logistic regression. RESULTS: The prevalence of MCV1 in Ethiopia was 58.5%. A spatial variation of MCV1 coverage was observed across the study area. The most likely significant primary clusters with low MCV1 coverage were observed in Liben, Afder, Shebelle, Korahe, and Nogob zones of the Somali region; Bale and Guji zones of the Oromia region, and Gedeo and Sidama zones of the SNNPR. Rural areas, maternal primary education, secondary and above school education, Orthodox religion, Muslim religion, health facility delivery, and Afar region were significantly associated with MCV1 vaccination. CONCLUSION: The overall MCV1 coverage in Ethiopia was low. Aside from the inadequate coverage, there was a geographical variation across the country. Low MCV1 coverage areas should be prioritized to improve vaccination efforts to control measles across the country.

Exploring Spatial Variations and Determinants of Dietary Diversity Among Children in Ethiopia: Spatial and Multilevel Analysis Using EDHS (2011-2016).

INTRODUCTION: Dietary diversity has a significant impact on children's nutritional health. For developing and implementing interventions, it is critical to understand the regional distribution of dietary diversity and underlying factors. However, the application of spatial techniques in dietary studies has not been well documented. The study's goal was to look into the regional variances and factors that influence children's dietary diversity. Further, we have discussed the spatial correlation of dietary diversity with nutritional status. METHODS: Data from the National Demographic and Health Survey were used during analyses. This work evaluated the overall dietary diversity of children aged 6-23 months based on the 2017 WHO and UNICEF classification of minimum dietary diversity (MDD). The Local Anselin Moran's I was estimated to look into the regional variation of dietary diversity and hotspot and cold spot areas. Further, multivariate multilevel logistic regression was used for factor analyses. RESULTS: Overall, only 13.3% (95% CI: 10.2-14.7%) of children in 2011 and 24% (95% CI: 15.5-26.5%) in 2016 achieved MDD. We identified statistically significant clusters of high inadequate dietary diversity (hotspots) in the districts of northern Ethiopia, notably in the Amhara, Tigray, and Afar regions, and clusters of low inadequate dietary diversity (cold spots) in the country's central and western regions. In both studies, the frequency of dietary diversity was significantly higher among older children, those who had media exposure, and mothers and fathers who had received formal education. CONCLUSION: According to our findings, the MDD of children in Ethiopia, as measured by WHO dietary assessment, slightly increased from 2011 to 2016. The dietary diversity of children was distributed non-randomly in different districts across regions of Ethiopia. Localized intervention and preventative methods to improve dietary patterns and culture can be developed using existing socio-demographic factors and districts with a larger distribution of inadequate dietary diversity.

Barriers to the Adoption of Electronic Medical Record System in Ethiopia: A Systematic Review.

BACKGROUND: Electronic medical records (EMRs) can improve the quality of health care and patient safety. Various countries have gone through the local application of EMRs to various health care organizations in national implementation and integration of EMRs. Ethiopia lags far in the back in this regard, as solely some hospitals have implemented EMR. OBJECTIVE: This study aimed to identify barriers to the adoption of EMRs in Ethiopia through a systematic review of the literature. METHODS: PubMed, Semantic Scholar, and Google Scholar have been searched for applicable articles. The search method focuses on peer-reviewed, empirical research conducted in Ethiopia. The ultimate set that met the inclusion standards was 9 studies. The authors extracted, analyzed, and summarized empirical results associated with EMR barriers in these studies. RESULTS: This systematic review identified the following 17 barriers to EMR adoption: absence of EMR training, limited access to computers, insufficient computer literacy, deficiency of EMR knowledge, inadequate technical help, absence of EMR manual, negative attitude to EMR, limited internet access, lack of management support, electric power interruption, absence of perceived system quality, absence of perceived information quality, lack of willingness, the complexity of the system, performance expectancy, effort expectancy, and lack of IT qualification. CONCLUSION: The most common barriers for EMR adoption are absence of EMR training, limited access to a computer, poor computer literacy, poor EMR knowledge, lack of technical support, and absence of an EMR manual. As this study summarizes the available evidence regarding barriers to adopting EMR in Ethiopia, future research will rest on this evidence and specialize in building a proper framework for EMR implementation in Ethiopia.

Factors Influencing COVID-19 Vaccination Demand and Intent in Resource-Limited Settings: Based on Health Belief Model.

BACKGROUND: Vaccination is, without doubt, one of the most outstanding health interventions in reducing unprecedented damages of coronavirus disease (COVID-19). Globally, several vaccines have been produced to be effective against COVID-19. This survey aimed to assess the demand and intent towards the COVID-19 vaccine among the general population in Ethiopia. Also, factors influencing their demand, intention, and willingness to pay for the COVID-19 vaccine were described, which is poorly understood in resource-limited settings. METHODS: Subjects were 1160 individuals who completed an online questionnaire from February to March 2021. The study used the health belief model (HBM) to evaluate participants' intention to receive and willingness to pay (WTP) regarding the COVID-19 vaccine. Chi-square and binary logistic regression were conducted to identify the prevalence and associated factors of demand and WTP. Multinomial regression was done to examine the intent to receive a vaccine. RESULTS: In total 1116 responses were collected. The results indicated a moderate level of demand and WTP among participants (64.7% and 56.0%, respectively). Further, the researchers examined participants' readiness towards COVID-19 vaccination, where 46.6% of participants had a definite intent, and close to half of the participants are unsure (32.8%) or unwilling (20.7%) to get vaccinated. Among other factors, items under perceived susceptibility and perceived benefits constructs in the HBM have been associated with participants' demand, willingness to vaccinate, and WTP. CONCLUSION: This study demonstrates the usefulness of the HBM model in evaluating the demand, intention, and willingness of participants to pay for COVID-19. Improving public awareness of the vulnerability should be a major point of attention to reduce the barriers, and improve demand and intention for COVID-19. Moreover, public health messages should be tailored to enhance vaccine literacy.

Tracking progress in anthropometric failure among under-five children in Ethiopia: a geospatial and multilevel analysis.

BACKGROUND: Undernutrition is a major public health concern among under-five children in many developing countries. This work evaluated the overall prevalence of under-nutrition by using a composite index of anthropometric failure (CIAF), which helps in the detection of children with multiple anthropometric failures. This research also includes the Spatio-temporal distribution of childhood anthropometric failures across time. METHODS: Secondary data was obtained from the Ethiopian Demographic and Health Survey for the survey 2005, 2011, and 2016 years. Data included 23,864 samples of children between the ages of 0-59 months, which is a nationally representative sample in Ethiopia. Other than descriptive statistics, the multivariate multilevel logistic regression was used to identify associated factors, and Getis-Ord spatial statistical tools were employed to identify high and low hotspots areas of anthropometric failures. RESULT: The prevalence obtained with CIAF in 2005, 2011, and 2016 was, 53.5 %, 51 %, and 46.2 % of children were suffering from under-nutrition respectively. The spatial analysis revealed areas that are at a higher risk of anthropometric failures consistently were found in northern parts of the country, largely in the Amhara, Tigray, and Afar regions. Multilevel logistic regression analysis showed that the risk of anthropometric failure was higher among older children, had low birth weight, had a mother with low BMI, was in a rural area, had mothers and fathers without formal education. CONCLUSIONS: In addition to identifying wasted, stunted, and underweight children, CIAF also identified children with multiple conditions, which are often overlooked in nutritional surveys. As revealed by this composite index, the prevalence of anthropometric failure remains considerably high and its spatial distribution also significantly varied across the regions in the country. The established socio-demographic characteristics and districts with a higher risk of anthropometric failure can be used to develop localized intervention and prevention strategies to improve Ethiopian children's nutritional status and healthcare.