Abstract:
Background: Health management information system (HMIS) is one of the six building blocks of a health system. The quality of HMIS indicates the existence of a strong healthcare system. Public health decision making depends heavily on the timeliness, availability, and reliability of data. However, in developing countries including Ethiopia, the challenge is to obtain quality data from primary health care units.
Objective: To assess health management information system on the level of Data Quality and associated factors among Health care workers in health facilities of Sheger City, Oromia, Ethiopia, 2024.
Methods: Facility based cross-sectional study design with record review method of data collection was conducted among 274 health workers and 12 health facilities from 01 July to August 30/2015. A Simple random sampling technique was used to select the study participants. Standardized questionnaire was used to collect data and the collected data was entered into Epi data version 3.1 and analyzed using SPSS version 25. Both Descriptive and inferential statistics were used and displayed by texts, tables, and figures. The bivariable logistic regressions model was used to see the association between dependent and independent variables. A P-value of less than 0.25 in bivariable logistic regression was used to consider candidate variables for multi-variable analysis. Odds ratio and 95% confidence interval was computed to see the strength of association. Finally, P-value less than 0.05 was considered to declare statistically significant variables.
Result: A total of 274 study participants from 12 health centers participated in the study with a response rate of 97%. Timeliness, Accuracy, and completeness dimensions were 71 %, 80.2% and 84.8% respectively. The overall proportion of HMIS data quality was 78.7%. Self-efficacy (AOR=2.797, 95% of CI: 1.38, 5.68), motivation (AOR=2.42, 95% of CI: 1.17, 5.00), supervision (AOR=3.298, 95% of CI: 1.07, 10.14) and management support (AOR=2.43, 95% of CI: 1.02, 5.82) were significant factors of HMIS data quality.
Conclusion and Recommendation: The overall proportion of HMIS data quality was 78.7% which was lower than the national target. Strengthening the Performance monitoring team through supportive supervision is crucial in minimizing data errors in monthly report
