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Evaluation of rhis quality assurance practice of ganatakwa suburban Health Bureau

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Document pages: 11 pages

Abstract: Background the quality assurance of routine health information system (rhis) has become an important issue, not only because of its significance in promoting high standards of patient care, but also because of its impact on the government s budget for maintaining health services. Routine health information system includes medical data collection, editing, storage, analysis, report generation and daily release of various medical institutions. Data from rhis represent health status, health services and health resources. The sources of rhis data are usually personal health records, service records provided and health resource records. The use of reliable information from conventional health information systems is the basis of the medical fieldvery system. Quality assurance practices are measures that are put in places to ensure the health data that are collected meet required quality standards. Routine health information system quality assurance practices ensure that data that are generated from the system are fit for use. This study considered quality assurance practices in the RHIS processes. Methods. A cross-sectional study was conducted in eight health facilities in Tarkwa Submunicipal health service in the western region of Ghana. The study involved routine quality assurance practices among the 90-health staff and management selected from facilities in Tarkwa Submunicipal who collect or use data routinely from 24th December, 2019, to 20th January, 2020. Results. Generally, Tarkwa Submunicipal health service appears to practice quality assurance during data collection, compilation, storage, analysis, and dissemination. The results show some achievement in quality control performance in report dissemination (77.6 ), data analysis (68.0 ), data compilation (67.4 ), report compilation (66.3 ), data storage (66.3 ), and collection (61.1 ). Conclusions. Even though Tarkwa Submunicipal health directorate engages some control measures to ensure data quality, there is the need to strengthen the process to achieve the targeted percentage of performance (90.0 ). There was significant shortfall in quality assurance practices performance especially during data collection, with respect to the expected performance.

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