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 northwest , 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 northwest 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.

Background Several vaccines have been approved in a lot of countries to combat coronavirus disease and distributed throughout the world. Health professional’s knowledge and attitude towards a second COVID-19 vaccine dose were poorly implemented and understood in Ethiopia's health facilities. The main purpose of conducting this study was to investigate health professionals’ knowledge and attitude towards the second COVID-19 vaccine dose at public hospitals in Ethiopia. Methods A cross-sectional study design was conducted from January to March, 2021 to assess the knowledge and attitude towards second COVID-19 vaccine dose among health professionals working at public health facilities in Ethiopia. A multivariable logistic regression was performed to identify predictors that correlate with knowledge and attitude towards a second COVID-19 vaccine dose with a P -value<0.05 as a cut-off point for statistical significance at 95% confidence interval (CI). Results Four hundred and nine study subjects participated, with a response rate of 96.7%. In this study, more than half of the respondents had high knowledge towards second COVID-19 vaccine doses. Similarly, 95.6% of respondents had a favorable attitude towards second COVID-19 vaccine doses. Educational status (AOR=1.82, 95% CI=1.1–2.2), age (AOR=2.01, 95% CI=1.76–3.01), and profession (AOR=2.32, 95% CI=1.42–3.01) were variables associated with knowledge towards second COVID-19 vaccine doses. Educational status (AOR=5.42, 95% CI=4.1–6.7), age (AOR=12.4, 95% CI=10.54–15.8), professionals (AOR=4.33, 95% CI=2.32–6.87), working experience (AOR=4.33, 95% CI=2.32–6.87), marital status (AOR=2.47, 95% CI=1.33–5.95), risk degree (AOR=2.33, 95% CI=1.31–4.11) and gender (AOR=3.42, 95% CI=2.91–4.98) were determinant factors of attitude towards the second COVID-19 vaccine dose. Conclusion Addressing problems related with risk degree, educational status, and socio-demographic factors will help to increase the overall knowledge and attitude towards second COVID-19 vaccine doses.

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.

Backgrounds Health professionals are among the frontline of COVID-19 pandemic exposure and identified as a priority target group that need to receive COVID-19 vaccines. However, intention to receive vaccine is still matters the extent of COVID-19 vaccinations among health professionals. This study aimed to assess intention to receive COVID-19 vaccine and the factors that will determine their intention among health professionals working at public hospitals of Illu Aba Bora and Buno Bedelle zone hospitals. Methods A cross-sectional study design was applied to assess the intention to receive COVID-19 vaccines among health professionals working in public health hospitals of Illu Aba Bora and Buno Bedelle zone hospitals. Self-administered questionnaire were used for assessing intention to receive COVID-19 Vaccine. Multiple linear regressions were performed to identify factors associated with intention to receive COVID-19 vaccine with p-value< 0.05 as cutoff point for statistical significance at 95% confidence interval (CI). Result In this study, almost half of respondents 217(53.1% [95.0%: CI 49.3–58.9]) of study participants scored above the mean. Attitude (β = 0.54, 95% CI: [0.49, 0.63], p<0.01), knowledge (β = 0.27, 95% CI: [0.21, 0.35], p<0.01, perception (β = 0.43, 95% CI: [0.39, 0.56], p = 0.02 and age (β = 0.64, 95% CI: [0.51, 0.72], p<0.01 were variables associated with intention to receive vaccine against COVID-19. Conclusions This study result indicated that the overall magnitude of intention to receive COVID-19 is low. increasing attitudes, knowledge and perception among health professionals related to COVID-19 vaccine will helps to increase the overall intention to receive vaccine against COVID-19.

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.