Commitment level to Use District Health Information System data for decision making and associated factors among Performance Monitoring Team members in Ilu Aba Bora Zone, Oromia, Ethiopia 2020 G.C

Abstract

Abstract Introduction: Changing information use culture is one of the transformation agenda of the Ministry of Health of Ethiopia. This transformation agenda can’t be real unless health providers have commitment to use locally collected data for evidence based decision making. Performance Monitoring Team (PMT) members’ commitment level has a very paramount influence on district health information system data (DHIS2) utilization for decision making. Evidences are limited on performance monitoring team members’ commitment to use DHIS2 data. Therefore, this study will fill the evidence gaps. Objective: To assess commitment level and associated factors to use DHIS2 data for decision making among PMT members in Ilu Aba Bora zone, Oromia, Ethiopia 2020. Method: Cross sectional quantitative supplemented by qualitative methods was conducted to assess commitment level of PMT members to use DHIS2 data. A total of 264 participants were approached. SPSS version 20 software was used for data entry and analysis. Descriptive and analytical statistics including Bivariable and Multivariable analyses was done. Thematic analysis was conducted for qualitative part Result: A total of 264 participants were approached with 100% response rate. Overall 121(45.8%) of the respondents were committed to use DHIS2 data (95% CI: [40.00, 52.8]). Attitude[ AOR=2.12, 95% CI: (1.10, 4.70)], Feedback [AOR= 1.85, 95% CI: (1.02, 3.33)], Supervision [AOR= 2.84, 95% CI: (1.50, 5.37)], Information use culture [AOR=1.92,95% CI: (1.03, 3.59)] ,Motivation [AOR=1.80, 95% CI: (1.00, 3.25)] ,Health need [AOR=3.96, 95% CI: (2.11, 7.41)] and Competency [AOR=2.41, 95% CI:(1.27,4.55)] were variables associated with level of commitment to use DHIS2 data. Conclusion: Level of commitment to use DHIS2 data in this study was 45.8%. Information use culture, Motivation, Attitude, Competency, Health need, Supervision and Feedback were the most determinant factors. Providing regular supportive supervision and feedback, increasing motivation and changing attitude will help to bring cultural transformation of data use. Key words: Commitment, District health information system, Decision making