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Utilization of HMIS Data and Its Determinants at Health Facilities in East Wollega Zone, Oromia Regional State, Ethiopia: A Health Facility Based Cross-Sectional Study

Teklemariam Ergat Yarinbab1* and Mekonnen Kebede Assefa2

Background: Health Management Information System (HMIS) is a core health system building block designed to provide important data for continuous quality improvement at all levels of health care administration. Good quality data is an important aspect of health care planning, management and decision making. There was limited information of data quality and information uses in the study area. Therefore, the aim of this study was to assess the HMIS data utilization and its determinants at health facilities in East Wollega, Ethiopia. Methods: A cross sectional study was conducted. The data was collected using pre-tested and structured questionnaires through interviews. Data analysis was done by SPSS for Windows Version 20.0. Bivariate and multivariate logistic regressions were conducted. P-value<0.05 was used to declare statistically significant variables. Results: The study revealed that the level of HMIS data utilization for different decision making purposes was 57.9%. The level of data quality in terms of report timeliness, data completeness and data accuracy were 70%, 78.2 % and 48%, respectively. The utilization of HMIS data showed significant association with staff motivation (AOR=2.07, 95% CI=1.12, 4.29), decisions based on superior directives (AOR=2.46, 95% CI=1.10, 5.49) and performance monitoring by health professionals (AOR=4.07, 95% CI=1.29, 12.83). Conclusion: Staff motivation, performance monitoring and decisions based on superior directives were found to be determinants of HMIS data utilization. Therefore; policy makers and stakeholders in the area should focus their intervention on these identified factors in order to improve the HMIS data utilization for rendering quality health care services to the community

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado

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