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: 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: Despite the vast amount of resources invested in the development of health information systems, health professionals in developing countries are still suffering from lack of adequate skill to perform health data management activities. There is a lack of sound evidence to overcome health data management challenges in this setting. This study aimed to assess health data management practice and its associated factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia. Methods: A quantitative cross-sectional study was conducted at public health facilities in North Wollo Zone, Northeast Ethiopia from March 2 to April 15, 2020. A total of 715 health professionalswere selected using a stratified random sampling technique. EpiData version 4.6 and STATA version 15 were used for data entry and analysis, respectively. Descriptive statistics were computed. Multi-variable logistic regression analyses techniques were carried out to show the association between explanatory and outcome variables. Odd ratio at 95% confidence level was used to describe the strength of association. Results: A total of 643 health professionals participated in this study. The response rate was 90%. Among them, 56.1% (95% CI: 52.3%-59.9%) demonstrated good data management practice. Working in health center [AOR=1.31 (95% CI: 1.853, 2.003)], having knowledge on data management [AOR=3.74 (95% CI: 2.454, 5.713)], favorable attitude toward data management [AOR=2.64 (95% CI: 1.746, 3.976)], high competency level on data management tasks [AOR=3.12 (95% CI: 1.873, 5.197)], friendliness of data management format [AOR=2.26 (95% CI: 1.478, 3.454)], supervision [AOR=1.78 (95% CI: 1.153, 2.745)] and training [AOR=1.84 (95% CI: 1.115, 3.022)] were significantly associated with good practice of health data management. Conclusion: Health data management practices of health professionals' were found to be inadequate. Capacity building to enhance health professionals' data management knowledge, attitude and their competency level, providing continuous supportive supervision, designing friendly data management format, providing comprehensive data management training are necessary measures to improve data management practice in this study setting.

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