Results: Over all data quality was found to be 75.3% in unit and/or departments. Trained staff to fill format, decision based on supervisor directives and department heads seek feedback were significantly associated with data quality and their magnitudes were (AOR = 2.253, 95% CI [1.082, 4.692]), (AOR = 2.131, 95% CI [1.073, 4.233]) and (AOR = 2.481, 95% CI [1.262, 4.876]), respectively. Conclusion:Overall data quality was found to be below the national expectation level. Low data quality was found at health posts compared to health centres and hospitals. There was also a shortage of assigned HIS personnel, separate HIS offices, and assigned budgets for HIS across all units and/or departments.

Introduction: Millions of lives are saved each year through blood transfusions. However, in most developing countries, including in Ethiopia people's still die due to inadequate supply of blood and blood products. In addition, the intention of the adult population toward blood donation is poorly assessed in Ethiopia. Thus, the aim of this study is to assess the intention and factors influencing to donate blood in Northern Ethiopia. Methods: Community based cross sectional study was conducted among the dwellers of the Mekelle town from March 1 to 25/2010. Data were collected from 768 randomly selected individuals who were eligible for blood donation. Theory of planned Behavior model was employed. Chi-square test, Correlation and Hierarchical regression analysis were employed to measure association and identify predictor variables of the behavioral intention to donate blood. Result: The overall mean of participants' intention to donate blood voluntarily over the next six months is below neutral, that is 2.74 with (SD ±1·012). Half of the respondents have a low knowledge about blood donation and majority (88%) did not have a history of blood donation. The variables explaining 12.7% of the variance of intention to donate blood were: knowledge (β = 0.277; P < 0·0001), subjective norm (β = 0.039; P < 0·0001), and attitude (β = 0.025; P < 0·0001). Conclusion: People's intention to donate blood is low. Knowledge, attitude and subjective norms were main predictors of blood donation. Therefore, blood collectors should do periodic community sensitization to upgrade knowledge and create a positive attitude towards voluntary blood donation.

ObjectivesThe primary aim of this study was to describe the socioeconomic status (SES), housing conditions and depression of the elderly in rural China, as well as to examine the associations between depression and SES and housing conditions using the China Health and Retirement Longitudinal Study (CHARLS).DesignThis is a cross-sectional study.SettingA nationally representative sample of elderly in rural China.ParticipantsA total of 4585 elderly adults in 2015 in rural China.Outcome measuresPrevalence and risk factors of depression among rural elderly.ResultsAmong the participants in this study, approximately 46.15% (2116/4585) reported depressive symptoms (10-item Center for Epidemiologic Studies Depression Scale [CESD-10] score >10) in rural China. The results revealed significant associations between higher scores on CESD-10 (indicating more symptoms of depression) and lowest personal annual income (OR=1.63, 95% CI 1.290 to 2.060), polluting cooking fuel (OR=1.16, 95% CI 1.018 to 1.321), toilet without seat (OR=1.273, 95% CI 1.056 to 1.535), as well as having no bath facility (OR=1.172, 95% CI 1.025 to 1.341) after adjustment for confounders.ConclusionElderly in rural China experienced severe depressive symptoms. Lowest personal annual income, polluting cooking fuel, toilet without seat and having no bath facility were significantly associated with more depressive symptoms. Caution needs to be taken in generalising the findings of this study to the rest of the population in China since its highly selected sample.

Health information system (HIS) is a system that integrates data collection, processing, reporting and use of the information necessary for improving health service effectiveness and efficiency through better management at all levels of health services. Despite the credible use of HIS for evidence based decision making, countries with the highest burden of ill health and the most in-needs for accurate and timely data have the weakest HIS in the vast majority of world's poorest countries. The main of this study was to assess the level of information utilization and identify factors affecting information use in, Ethiopian, health facilities. A cross sectional study was conducted by using structured questioners in Dire Dawa administration health facilities. All unit/department heads from all government health facilities were selected. The data was analyzed using STATA version 11. Frequency and percentages was computed to present the descriptive findings. Association between variables was computed using binary logistic regression. Over all utilization of health information was found to be 53.1%. Friendly format for reporting and managers provide regular feed back to their staff were found to be significantly associated with health information utilization, and their strength were (AOR=2.796,95% CI[1.478,5.288]) and (AOR=2.195,95%CI[1.213,3.974]) respectively. Overall HIS utilization was found to be below the national expectation level. Low utilization of HIS was found in health posts than health centers and hospitals. There was also shortage of assigned HIS personnel, separate HIS office and assigned budget for HIS in majority of units/departments.

Background: A Health Information System (HIS) is a system that integrates data collection, processing, reporting, and use of the information necessary for improving health service effectiveness and efficiency through better management at all levels of health services. Despite the credible use of HIS for evidence-based decision-making, countries with the highest burden of ill health and the most in need of accurate and timely data have the weakest HIS in the vast majority of world’s poorest countries. Although a Health Management Information System (HMIS) forms a backbone for strong health systems, most developing countries still face a challenge in strengthening routine HIS. The main focus of this study was to assess the current HIS performance and identify factors affecting data quality in a resource-limited setting, such as Ethiopian health facilities.Methods: A cross-sectional study was conducted by using structured questionnaires in Dire Dawa Administration health facilities. All unit and/or department heads from all government health facilities were selected. The data was analysed using STATA version 11. Frequency and percentages were computed to present the descriptive findings. Association between variables was computed using binary logistic regression.Results: Over all data quality was found to be 75.3% in unit and/or departments. Trained staff to fill format, decision based on supervisor directives and department heads seek feedback were significantly associated with data quality and their magnitudes were (AOR = 2.253, 95% CI [1.082, 4.692]), (AOR = 2.131, 95% CI [1.073, 4.233]) and (AOR = 2.481, 95% CI [1.262, 4.876]), respectively.Conclusion: Overall data quality was found to be below the national expectation level. Low data quality was found at health posts compared to health centres and hospitals. There was also a shortage of assigned HIS personnel, separate HIS offices, and assigned budgets for HIS across all units and/or departments.