BackgroundRoutine health information systems (RHIS) are vital for the acquisition of data for health sector planning, monitoring, and evaluation. However, in developing countries the insufficient quality of the data produced by RHIS limits their usefulness in decision-making. As routine health information utilization is still low in Ethiopia, this study aimed to assess the magnitude of routine health data utilization and associated factors among health care professionals in some public health institutions in North Gondar, northwest Ethiopia.MethodsAn institution based cross-sectional study was conducted from March to April2017, at public health institutions of North Gondar Zone, northwest Ethiopia. A total of 720 health care professionals were selected from public health institutions using the multi-stage sampling technique. Data were collected using a structured self-administered questionnaire and an observational checklist, cleaned, coded, and entered into Epi-info version 3.5.3 and transferred into SPSS version 20 for further statistical analysis. In the multiple logistic regression analysis, a less than 0.05 P-vale was considered statistically significant.ResultIn this study, the level of good routine health information utilization among health professionals was 78.5% (95% CI: 73.2%, 84.3%). According to the multivariable logistic regression analysis, sex (AOR = 2.19, 95% CI: 1.47, 3.27), type of institution (AOR = 3.57, 95% CI: 2.39, 5.32), standard indicators (AOR = 3.28, 95% CI: 1.90, 5.65), data analysis skills (AOR = 1.90, 95% CI: 1.12, 3.23), and good governance (AOR = 1.97, 95% CI: 1.31, 2.95), were found significantly associated with a good level of health information utilization.ConclusionOver three-fourths of the health care professionals working at public health institutions of North Gondar utilized health information better than the respondents in previous studies. Sex, type of institution, standard indicators, data analysis skills, and governance were factors related to routine health information utilization. Therefore, standard indicators, data analysis skills and good governance are highly recommended for improving routine health data utilization of health care professionals working at public health institutions.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3498-7) contains supplementary material, which is available to authorized users.

BackgroundCommunity-based health insurance (CBHI) is becoming a prominent and promising concept in tackling financial health care issues confronting the poor rural communities in developing countries. Ethiopia endorsed and constituted CBHI schemes in 13 pilot “woredas” in 2010/11. This study aimed to assess the compliance of the community to CBHI scheme requirements in Thehuledere district, northeast Ethiopia.MethodsA community-based cross-sectional study was conducted among 530 respondents between April and June 2015 in Thehuledere District, South Wollo Zone, northeast Ethiopia. A systematic random sampling technique was deployed to select the study participants. A self-administered, structured, pre-tested questionnaire was used to collect the data. Bivariate and multivariate logistic regression analyses were used to identify factors associated with CBHI compliance.ResultsA total of 511 study participants were included in the study. Approximately 77.9% of the study population complied with CBHI requirements: members’ age (AOR = 0.74, 95% CI: 0.62–0.8), premium fee affordability (AOR: 2.66, 95% CI: [1.13–4.42]), members’ occupation (AOR = 0.14, 95% CI: 0.04–0.45), members’ attitude toward CBHI management (AOR = 2.11 [1.14–3.90]), and CBHI members’ knowledge (AOR = 0.24, 95% CI: [0.13–0.42]) were found to be major predictors of community compliance to CBHI requirements.ConclusionCBHI requirement compliance at the early stage was relatively high. We observed that members’ age, premium fee affordability, occupation, attitude, and knowledge were significant predictors. CBHI management’s involvement in awareness creation and training on requirements of the CBHI scheme would contribute to better outcomes and success.

BackgroundMost of the nearly 104 million underweight children in the world lived in South East Asia and sub-Saharan Africa in 2010. According to the 2014 Ethiopian Demographic and Health Survey (EDHS) report, 24 and 7% of children aged 6–59 months were underweight and severely underweight, respectively. Although appropriate child feeding and nutritional interventions reduce child illness and death, malnutrition remains a leading public health problem in Ethiopia. As literature on the issue is scarce in northwest Ethiopia, this study aimed at determining the prevalence of under-weight and associated factors in children 6–59 months of age in Takusa district, northwest Ethiopia.MethodsA community based cross-sectional study was conducted from January to February, 2017, at Takusa district, northwest Ethiopia. A total of 645 subjects were selected using the multi-stage sampling technique. Anthro software version 2.02 was used to determine the nutritional status of the children. A multivariable logistic regression analysis was used to investigate factors associated with underweight. Adjusted Odds Ratios (AOR) with the corresponding 95% Confidence Interval (CI) were used to show the strength of associations, and variables with P-values of < 0.05 were considered statistically significant.ResultsIn this study, the overall prevalence of underweight was 19.5% (95% CI: 16.4–22.8). According to the multivariate analysis, urban residence (AOR = 0.60; 95% CI: 0.38–0.95), no antenatal care (ANC) follow up (AOR = 1.59; 95% CI 1.01–2.52), and mothers age (over 35 years) (AOR = 0.62; 95% CI: 0.38–0.99) were significantly associated with lower odds of underweight.ConclusionIn the study community, the prevalence of underweight was lower than the findings of different studies in Ethiopia. Advanced maternal age (> 35 years), no antenatal follow up during pregnancy, and rural residence were significantly associated with underweight. Therefore, interventions targeting community management of acute malnutrition might be appropriate to manage the problem of underweight; efforts should also be intensified to reduce under-weight by focusing on identified determinants.

BackgroundDespite the relatively huge ICT investment and policy deployment in higher institutions in Ethiopia, there is still scant information about the success of implementation of the Information Communication Technology (ICT) in the higher education. This study, therefore, was carried out with an aim to assess knowledge and utilization of Information Communication Technology (ICT) among medicine and health science students and its associated factors in Gondar College of Medicine and Health sciences, University of Gondar.MethodsA cross-sectional study was conducted at the College of Medicine and Health Sciences, University of Gondar, Ethiopia. Data regarding socio-demographic characteristics of the students, level of knowledge and utilization of ICT were collected by means of a self-administered questionnaire. Data was analyzed using SPSS version 13.ResultsA total of 1096 students responded giving a response rate of 97.8%. The mean age of the study participants was 20.3 (±1. 3) years. Females constitute only 26% of the respondents. The majority (79%) were fulltime students. Only half of the respondents (51%) had ICT knowledge and only 46% students utilized ICT while 47% of the respondents never used electronic communication (e.g. email or chat room) and 39% of the respondents never used Microsoft office (e.g. word ® or WordPerfect ®). ICT knowledge [AOR = 2.5, 95% CI: 1.7-3.5], family educational background [AOR = 4.36, 95% CI: 2.16-8.80], and perceived quality of training [AOR = 1.9, 95% CI: 1.3-2.8] showed strong and positive associations with ICT utilization. Students from urban areas were more likely to utilize ICT compared with those from rural areas [AOR = 2.7, 95% CI: 2.097, 3.497], and information technology training was found to be positively associated with ICT utilization [AOR = 2. 07, 95% CI: 1.18, 3.62].ConclusionsThe result showed that students’ knowledge was inadequate and utilization of ICT was poor. Therefore, the university should sustain professional development to improve teaching, to raise student performance and equip the college with student centered ICT computer labs to increase students’ ICT utilization.

This study depicts EBP utilization was insufficient. We observed that knowledge of EBP, training, Internet access and availability of time were significantly associated with utilizing EBP. Improving facilities Internet access, giving more time for EBP, and training health professionals about search strategies would improve EBP.