Background A well designed Health management information system is necessary for improving health service effectiveness and efficiency. It also helps to produce quality information and conduct evidence based monitoring, adjusting policy implementation and resource use. However, evidences show that data quality is poor and is not utilized for program decisions in Ethiopia especially at lower levels of the health care and it remains as a major challenge. Method Facility based cross sectional study design was employed. A total of 18 health centers and 302 health professionals were selected by simple random sampling using lottery method from each selected health center. Data was collected by health professionals who were experienced and had training on HMIS tasks after the tools were pretested. Data quality was assessed using accuracy, completeness and timeliness dimensions. Seven indicators from national priority area were selected to assess data accuracy and monthly reports were used to assess completeness and timeliness. Statistical software SPSS version 20 for descriptive statistics and binary logistic regression was used for quantitative data analysis to identify candidate variable. Result A total of 291 respondents were participated in the study with response rate of 96%. Overall average data quality was 82.5%. Accuracy, completeness and timeliness dimensions were 76%, 83.3 and 88.4 respectively which was lower than the national target. About 52.2% respondents were trained on HMIS, 62.5% had supervisory visits as per standard and only 55.3% got written feedback. Only 11% of facilities assigned health information technicians. Level of confidence [AOR = 1.75, 95% CI (0.99, 3.11)], filling registration or tally completely [AOR = 3.4, 95% CI (1.3, 8.7)], data quality check, supervision AOR = 1.7 95% CI (0.92, 2.63) and training [AOR = 1.89 95% CI (1.03, 3.45)] were significantly associated with data quality. Conclusion This study found that the overall data quality was lower than the national target. Over reporting of all indicators were observed in all facilities. It needs major improvement on supervision quality, training status to increase confidence of individuals to do HMIS activities.

Methods: A facility-based cross-sectional study was conducted among 304 systematically selected adult cancer patients receiving palliative care service in Tikur Anbessa Specialized Hospital, Ethiopia. A multivariable binary logistic regression model was carried out to identify the independent factors associated with palliative care service utilisation, and P-value < 0.05 was used to declare statistical significance.Results: One hundred thirty (42.8%) adult cancer patients utilise the available palliative care service in the hospital, and those who earn monthly income ≥$52.35 (AOR = 2.36, 95% CI 1.37,4.06) and those who have family members of more than two (AOR = 2.28, 95% CI 1.02,5.13) were associated with higher utilisation, but being a governmental employee and having formal schooling were the factors negatively associated with palliative care service utilisation with (AOR = 0.42, 95% CI 0.20, 0.87) and (AOR = 0.51, 95% CI 0.23, 0.94), respectively.Conclusions: A significant number of cancer patients were not utilising palliative care services, and higher monthly income and having more than two family members were the factors strongly associated with higher palliative care service utilisation.

Background: Ethiopia is one of Sub-Saharan Africa countries in which high fertility (5.4 births per woman) is observed. Family planning programs have always been considered as the interventions of choice for slowing population growth and family size preference is useful in suggesting its demand.