Level of Commitment and associated factors to Use District Health Information System (DHIS2) for decision making among health providers in a resource limited settings: Cross-sectional survey

Abstract Background: Changing information use culture, one of the transformation agenda of the Ministry of Health of Ethiopia, 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 has a very paramount influence on district health information system data (DHIS2) utilization for decision making. Evidence is limited on performance monitoring team members’ commitment to use DHIS2 data. Therefore, this study will fill the evidence gap.Objective: This study aimed to assess the level of commitment and its associated factors among Performance Monitoring Team members to use DHIS2 data for decision making at health facilities in Ilu Aba Bora Zone of Oromia national regional state, Ethiopia 2020G.C.Method: Cross sectional quantitative study 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: Overall 121(45.8%) of the respondents had commitment to use DHIS2 data (95% CI: [40.00, 52.8]). 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: In general, less than half of the study participants had commitment to use DHIS2 data for decision making. Information use culture, Motivation, 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.