Background: Electronic Medical Records (EMRs) are systems to store patient information like medical histories, test results, and medications electronically. It helps to give quality service by improving data handling and communication in healthcare setting. EMR implementation in developing countries is increasing exponentially. But, only few of them are successfully implemented. Intention to use EMRs by health care provider is crucial for successful implementation and adoption of EMRs. However, intention of health care providers to use EMR in Ethiopia is unknown. Objective: The aim of this study was to assess health care provider’s intention to use and its predictors towards Electronic Medical Record systems at three referral hospitals in north-west, Ethiopia, 2019. Methods: Institutional based cross-sectional explanatory study design was conducted from March to September among 420 health care providers working at three referral hospitals in north-west Ethiopia. Data were analyzed using structural equation model (SEM). Simple and multiple SEM were used to assess the determinants of health care providers intention to use EMRs. Critical ratio and standardized coefficients were used to measure the association of dependent and independent variables, 95% confidence intervals and P-value were calculated to evaluate statistical significance. Qualitative data was analyzed using thematic analysis. Result: The mean age of the study subjects was 32.4 years ±8.3 SD. More than two-third 293(69.8%) of the participants were male. Among 420 health care providers, only 167 (39.8%) were scored above the mean of intention to use EMRs. Factors positively associated with intention to use EMRs were performance expectancy (β = 0.39, p < 0.001), effort expectancy (β = 0.24,p < 0.001),social influence (β = 0.18,p < 0.001),facilitating condition (β = 0.23,p < 0.001), and computer literacy (β = 0.08,p < 0.001). Performance expectancy was highly associated with intention to use EMRs. Conclusion: Generally, about 40 % of health care providers were scored above the mean of intention to use EMRs. Performance expectancy played a major role in determining health care providers’ intention to use EMRs. The intention of health care providers to use EMRs was attributed by social influence, facilitating condition in the organization, effort expectancy, performance expectancy and computer literacy. Therefore, identifying necessary prerequisites before the actual implementation of EMRs will help to improve the implementation status.

Background: Diabetes mellitus is one of the most common chronic diseases in the world. The burden of diabetes mellitus is increasing rapidly in developing countries, including Ethiopia. Diabetes information seeking is essential for patients with diabetes to better manage and control their diabetes. However, information seeking about disease prevention and treatment is low in developing countries. Objective: This study aims to assess the diabetes information-seeking behavior and its associated factors among patients with diabetes in Debre Markos Referral Hospital, Amhara Region, Northwest Ethiopia. Methods: An institution-based cross-sectional quantitative study supplemented with a qualitative study was conducted among 423 subjects from March to April 2019. A structured questionnaire and in-depth interview were used to collect the required data from the study subjects. The data were entered using Epi Info version 7.2.2. Data processing and analysis were conducted using SPSS version 23. Descriptive statistics and a binary logistic regression model were used for the quantitative study, and thematic content analysis was used for the qualitative study. The significance test cut-off value for bivariate analysis was P< 0.2 and the cut-off value for multivariate analysis was P< 0.05. Adjusted odds ratios with 95% confidence intervals were used to interpret the results. Results: Out of 423 study participants, only 41.6% of patients with diabetes were diabetes information seekers. After adjusting all other factors in the final model, educational status, place of residence, comorbidity and health literacy were significantly associated with diabetes information seeking. Conclusion: This study result indicates that the overall prevalence of information seeking among patients with diabetes toward diabetes was low. Having higher educational status, urban place of residence, the presence of comorbidity and adequate health literacy level increased the likelihood of diabetes information-seeking behavior among patients with diabetes.

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.

The coronavirus disease 2019 pandemic has prompted rapid restructuring of the health-care system in an effort to stop the spread of the pandemic. Thus, telemedicine is more preferable in order to prevent the COVID-19 pandemic when face to face meeting is forbidden, allowing provision of health service over a distance. This study aimed to assess willingness to use telemedicine and factors that will determine their extent of willingness during COIVID-19 among healthcare providers working in south west of Ethiopia. Institutional based cross-sectional study design was applied to assess willingness to use telemedicine among healthcare providers working at public health hospitals in south west of Ethiopia. Self-administered questionnaires were used. We have used Epi-info for data entry and Analysis of Moment Structure (AMOS) for analysis. A structural equation modeling was performed to identify factors associated with willingness to use telemedicine at 95% confidence interval (CI). In this study, less than half of respondents had high willingness to use telemedicine. Ease of use (β = 0.79, 95% CI: [0.72, 0.86], p < 0.01), attitude (β = 0.91, 95% CI: [0.87, 0.95], p < 0.01) and patient-physician relationships (β = 0.67, 95% CI: [0.54, 0.70], p < 0.01) were variables associated with willingness to use telemedicine. Anxiety towards technology (β = 0.74, 95% CI: [0.69, 0.79], p < 0.01) and patient-physician relationships (β = 0.87, 95% CI: [0.81, 0.92], p < 0.01) were determinant factors of attitude to use telemedicine. The overall willingness to use telemedicine during COVID-19 in this setting is 46.5%. Addressing the problem related with ease of use, attitude and patient-physician relationships will help to increase the overall willingness to use telemedicine during COVID-19. An attempt to improving patient-physician relationship, provision of technical training for ease of use and working on healthcare providers’ attitude will help to improve the willingness to use telemedicine.

Childhood acute malnutrition, in the form of wasting defined by a severe weight loss as a result of acute food shortage and/or illness. It is a critical public health problem that needs urgent attention in developing countries, like Ethiopia. Despite its variation between localities, the risk factors and its geospatial variation were not addressed enough across the various corner of the country. Therefore, the current study was undertaken to assess spatial variation and factors associated with acute malnutrition among under-five children in Ethiopia. A total weighted sample of 4 955 under-five children were included from the 2019 Demographic and Health Survey. Getis-Ord spatial statistical tool used to identify the hot and cold spot areas of severe and acute malnutrition. A multilevel multivariable logistic regression model using was used to examine predictors of acute malnutrition. In the multivariable multilevel analysis, Adjusted Odds Ratio with 95% CI was used to declare significant determinants of acute malnutrition among children. Among 4 955 under-five children, 7% of them were wasted and 1% of them were severely wasted in Ethiopia during the 2019 national demographic survey. The distribution was followed some spatial geo-locations where most parts of Somali were severely affected (RR = 1.46, P37 value <0.001), and the distribution affected few areas of Afar, Gambella, and Benishangul Gumz regions. Factors that significantly associated with childhood wasting were: gender(male)1.9 (1.3–2.7), age (above 36 months) 0.5 (0.2–0.9), wealth index(richest) 0.5 (0.2–0.8), and water source (unimproved source) 1.5 (1.0–2.3). Our finding implies, the distribution of childhood wasting was not random. Regions like Afar, Somali, and pocket areas in Gambella and SNNP should be considered as priority areas nutritional interventions for reducing acute malnutrition. The established socio-demographic and economic characteristics can be also used to develop strategies.

Background: Despite currently available, scientifically proven treatments and national guideline, the SAM recovery rate is still considerably behind expectations, and it continues to have a devastating impact on under-five children. Identifying predictors of time to recovery might help to reach the minimal criterion established by the WHO and the national Sphere which decreases child mortality. Therefore, the current study assessed time to recovery and its predictors among children aged 6–59 months admitted with SAM in the Healthcare Setting of Southwest Ethiopia, 2021. Methods: An institutional-based multicenter retrospective follow-up study was conducted on 486 children aged 6 to 59 months admitted with SAM cases. Data were entered into Epi-Data version 4.6 and exported to Stata version 14 for further analysis. Cox–Snell residual plot was used to assess the final model’s overall goodness of fit. Finally, a significant predictor of time to recovery was identified using Weibull survival regression model, at 0.05 significance level. Result: Overall, 68.72 (95% CI 64.8, 73) of the children recovered and 4.32% died. The overall incidence density was 3.35/100-person day. Independent predictors of time to recovery were, starting complementary feeding at six months (AHR = 1.44; 95%, CI 1.073, 1.935), pneumonia at baseline (AHR = 1.33, 95%, CI 1.049, 1.696), amoxicillin (AHR = 1.31, 95%, CI 1.021, 1.685), and folic acid supplementation (AHR = 1.82, 95% CI 1,237, 2.665). Conclusion: The recovery from SAM at study area after a maximum of 60 days of treatment was below the accepted minimum standard. Complementary feeding, pneumonia, treated by amoxicillin, and folic acid supplementation were predictors of time to recovery. Therefore, providing folic acid and amoxicillin for those in need as well as the earliest possible treatment of concomitant conditions like pneumonia is highly recommended.