ArticleBMC health services research2026
Level and predictors of routine health management information system data management practice among health professionals working at public health facilities in Dire Dawa administration, eastern Ethiopia.
Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundEffective data management plays a pivotal role in public health facilities, where accurate recording, collection, and analysis of health information are fundamental to informed decision-making and improved health outcomes. This study evaluates the current data management practices among health professionals in Dire Dawa, Ethiopia, while identifying key influencing factors. By doing so, it aims to enhance data quality and establish a robust, evidence-based framework to address the operational and strategic needs of health administration.
methodsThis descriptive cross-sectional study was conducted in Dire Dawa, Ethiopia, from April to May 2023, involving a simple random sample of 417 health professionals. Data were entered using EpiData version 7.0 and analyzed with SPSS version 22.0 to produce descriptive statistics. Multivariable logistic regression was employed to assess associations between variables, with adjusted odds ratios (AOR) and 95% confidence intervals (CI) used to quantify the strength of these relationships.
resultsAmong the 409 participating health professionals (response rate: 98%), effective data management practices were evident in 53.1% (95% CI: 48.2-57.7). Significant predictors included good knowledge of data management (AOR = 2.28, 95% CI: 1.20-4.30), a favorable attitude (AOR = 2.33, 95% CI: 1.16-4.67), high competency in tasks (AOR = 4.63, 95% CI: 2.08-10.31), clear understanding of health management information system tools (AOR = 5.67, 95% CI: 1.74-18.44), proficient computer skills (AOR = 3.95, 95% CI: 1.85-8.44), provision of feedback (AOR = 2.25, 95% CI: 1.09-4.66), strong data analysis skills (AOR = 4.65, 95% CI: 2.23-9.71), and prior training (AOR = 3.45, 95% CI: 1.07-11.12).
conclusionData management practices within the Health Management Information System in Dire Dawa require substantial improvement. Targeted capacity-building initiatives, including education and training in data handling, analysis, and tool proficiency, are essential. Coupled with regular feedback and ongoing evaluations, these efforts can significantly elevate standards and support evidence-based public health strategies.
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