DISTRICT HEALTH INFORMATION SYSTEM 2 (dhis2) DATA UTILIZATION AND ITS DETERMINANTS AMONG PERFORMANCE MONITORING TEAM IN PUBLIC HEALTH FACILITIES OF HARARI REGION AND DIRE DAWA C ITY ADMINISTRATION, EASTERN ETHIOPIA

Abstract

Data utilization is one of the key functions of the Health Information System. It enables performance monitoring team for evidence based decision making to improve quality of health service delivery. This can be supported by the use of District Health Information System 2 platform which is expected to increase the utilization of health data. However, little is known about the use of health data from District Health system 2 and its determinants especially among performance monitoring team working at facility level since its implementation. Objective: The study aimed to assess data utilization from District Health Information System 2 and its determinants among performance monitoring team in public health facilities of Harari Region and Dire Dawa City Administration from July to August 2020 G.C. Methodology: The study utilized an institutional-based cross-sectional study design. A stratified sampling technique was used to select a total of 220 participants. Data was entered using Epi-Data version 3.1 and exported to STATA version 14.2 for cleaning and analysis. The binary logistic regression model was applied to identify determinants of District Health Information System version 2 data utilization. Goodness of model fit was checked using Hosmer-Lemeshow statistics and statistical significance was declared at P<0.05. Result: Overall utilization of data from District Health Information System 2 was about 45% (95%, CI= [39%, 50%]). Favorable attitude (AOR=3, 95% CI: 1.90 – 8.62), good perceived self-competence (AOR=2.9, 95% CI: 1.14 – 7.38), good perceived data quality (AOR=4.4, 95% CI: 1.76 – 10.9), and getting supportive supervision (AOR=4.3, 95% CI: 1.48-12.45) were determinants significantly associated with data utilization from District Health Information System 2. Conclusion: The overall utilization of data was below national recommendation. Attitude, perceived self-competence and perceived data quality and supportive supervision were determinants of data utilization from District Health Information System 2 among performance monitoring team