Level of data quality from Health Management Information Systems in a resources limited setting and its associated factors, eastern Ethiopia
South African Journal of Information Management
| Field | Value | |
| Title | Level of data quality from Health Management Information Systems in a resources limited setting and its associated factors, eastern Ethiopia | |
| Creator | Teklegiorgis, Kidist Tadesse, Kidane Mirutse, Gebremeskel Terefe, Wondwossen | |
| Description | 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. | |
| Publisher | AOSIS | |
| Date | 2016-08-10 | |
| Identifier | 10.4102/sajim.v18i1.612 | |
| Source | SA Journal of Information Management; Vol 18, No 1 (2016); 8 pages 1560-683X 2078-1865 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://sajim.co.za/index.php/sajim/article/view/612/941
https://sajim.co.za/index.php/sajim/article/view/612/942
https://sajim.co.za/index.php/sajim/article/view/612/943
https://sajim.co.za/index.php/sajim/article/view/612/927
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