Original Research
Level of data quality from Health Management Information Systems in a resources limited setting and its associated factors, eastern Ethiopia
Submitted: 17 February 2014 | Published: 10 August 2016
About the author(s)
Kidist Teklegiorgis, Dire Dawa City Administration Health Bureau, Dire Dawa, EthiopiaKidane Tadesse, Department of Public Health, College of Health Sciences, Mekelle University, Ethiopia
Gebremeskel Mirutse, Department of Public Health, College of Health Sciences, Mekelle University, Ethiopia
Wondwossen Terefe, Department of Public Health, College of Health Sciences, Mekelle University, Ethiopia; Department of Biostatistics, Tulen University, Ethiopia
Abstract
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.
Keywords
Metrics
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Crossref Citations
1. Health system readiness to support facilities for care of preterm, low birth weight, and sick newborns in Ethiopia: a qualitative assessment
Abubeker Kedir Usman, Eskinder Wolka, Yared Tadesse, Abraham Tariku, Abate Yeshidinber, Alula M. Teklu, Kirsten Senturia, Wendemaghen Gezahegn, James A. Litch
BMC Health Services Research vol: 19 issue: 1 year: 2019
doi: 10.1186/s12913-019-4672-2