Improve Data Quality and Informtion Use In The Out-Patient Department (Opd) Of Jinella Health Center
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Date
2016-06-07
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Addis Ababa University
Abstract
Background:-The importance of a health management information system (HMIS) cannot be ignored because health policies and planning in any country, mostly, depend on the correct and timely information on various health issues. Effective health management information system is essential for setting priority for community based problems, for allocation of budget and human resource and decision making to managers and stakeholders. In Ethiopia, HMIS is mostly incomplete, inaccurate, and un-timely which makes it of little help in decision making for planning and management of health services.
Objective:-The aim of this project was to improve data quality and information use in out -patient department (OPD) of Jinella health center, Harari region.
Methodology:- Both quantitative and qualitative methods were used and the overall project period was between December 2015-June 2016. Data was collected through closed and open-ended questionnaires, using interview, observation and analysis of certain documents. To identify the existing level of data accuracy and information use practice data from register and reports during July 2015-December 2016 were analyzed. Microsoft Excel was used to enter and analyze the data. The project involved data collected before and after the data quality and information use improvement intervention. Descriptive statistics were used for most of the study variables and frequency distribution tables were used to describe some of the findings.
Result:-There was a marked improvement in data quality in terms of (completeness and accuracy) which increased level of accuracy from 88.9% at baseline to 95.1% and increased completeness from 85.4% at baseline to 100% by the end of the project there was improvement in information use. The identified limiting factors of data quality and information use at Jinella health center were Improper HMIS disease classification and identification, absence of integrated plan, over/under reporting, poor supportive supervision, lack of motivation and confidence, absence of feedback system to departments. After determinants identified possible solutions were proposed and interventions were made.
Conclusion:- For improving HMIS data quality and information use practice in local action oriented performance monitoring; simple, practical and scalable improvement interventional activities were carried out throughout the project. As a result, the encouraging improvements were achieved in terms of increasing proportion of data accuracy and completeness of monthly HMIS reporting as well as on information use practice in Jinella health center.
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Improve Data Quality