Browsing by Author "Haftu, Binyam"

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    Assessment of Routine Health Information System (RHIS) Data Quality and Factors Affecting it, Addis Ababa City Administration, Ethiopia,2020
    (Addis Abeba University, 2020-10) Haftu, Binyam; Taye, Girma(Ph.D., Ass.Prof.); Ayele, Wondimu (Ph.D. fellow Ass.Prof.)
    Background: Effective and efficient health care services need evidence-based decisions and these decisions should rely on information from high-quality data. However, despite a lot of efforts, routine health data is still claimed to be not at the required level of quality for decision-makers. Previous studies have primely relay on organization-related factors little emphasis was given for perception and knowledge of service providers' gaps. Therefore, this study aims to evaluate the quality of data generated from routine health information systems and factors contributing to data quality from diverse aspects. Objective: To assess the quality of data from routine health information systems and factors contributing to data quality collected in health centers of Addis Ababa City administration, Ethiopia. Method: A cross-sectional study was conducted on 568 health professionals from 33 health centers selected randomly using a two-stage sampling method. A qualitative study was conducted using 12 key informants. The World Health Organization data quality report card framework and PRISM tools are used to assess the quality of routine health data and factors affecting it. Descriptive statistics, correlation,ANOVA, and non-parametric tests were done using SPSS version 23. Qualitative data analysis was done using ATLAS ti version 7.5 using a thematic analysis approach. Result: Timeliness of report, data accuracy, registration completeness, and report completeness level of the selected facilities was 40.39%, 76.67%, 96%, and 93.93%, respectively. The overall regional data quality level was 76.22%. Health professional perception on evidence-based decision making, the emphasis given to data quality, feedback, and health professionals motivation towards routine health care data have shown a strong association with data quality,(r (31) =.78, p<.001), (r (31) =.72, p<.001),(r(31)=.75,p<.001, (r(31) =.71,p<.001),respectively. Lack of adequate health information system task competence and Knowledge, non-functional PMT, lack of supervision, and technical factors were alsocommonly reported reasons for poor data quality Conclusion: This review has documented data quality of routine health information systems from health centers under Addis Ababa city. Overall data quality was found to be below the national expectation level.The study emphasized strengthen the existing performance monitoring team and building a motivated and skillful health workforce has a crucial role in improving the quality of routine health care data.