Molla Abdu, Hayelom Mulugeta, Adamu Kidist, Mihiretu Mengistu Mera, Adem Yonas Fissha
Department of Health Systems and Management, Wollo University, Dessie, Ethiopia.
Department of Health Informatics, Wollo University, Dessie, Ethiopia.
BMJ Public Health. 2024 Jul 31;2(1):e000807. doi: 10.1136/bmjph-2023-000807. eCollection 2024 Jun.
Data and information are vital to the decision-making process surrounding health sector reform. In spite of the vast amounts of capital invested in the development of health information systems, health professionals continue to fight with a lack of basic data management skills in Ethiopia. Therefore, this study aimed to assess health data management practices and associated factors among health professionals in public facilities in the Oromia Special Zone, northeast Ethiopia.
A facility-based cross-sectional survey was conducted among 442 health professionals working in Oromia Special Zone from 8 March 2023 to 28 March 2023. Data were entered into Epi-Data V.4.6, and then it was exported to SPSS V.26 statistical software for processing and analysis. Bi-variable and multivariable logistic regression analyses were computed to see the association between health data management practice and selected independent variables. The bi-variable logistic regression analysis model was used to identify candidate variables for multivariable regression, with a p value <0.2 fitted into the multivariable logistic regression analysis model; a p value less than 0.05 and an adjusted OR (AOR) with a 95% CI were used to declare statistical significance associated with the dependent variable.
The prevalence of good health data management practices among health professionals was found to be 51.1%, with a 95% CI (45.9 to 55.7). In this study, received training on health data management (AOR=1.82, 95% CI (1.06 to 3.13)), used appropriate technology (AOR=1.78, 95% CI (1.09 to 2.91)) and competency (AOR=6.62, 95% CI (4.06 to 10.80)) were positively associated with health data management practice among health professionals.
Nearly half of health professionals had poor health data management practices. The Zonal Health Department should plan capacity-building training for healthcare professionals, so as to improve their competency. All healthcare facilities should have appropriate and functional health data management technology.
数据和信息对于卫生部门改革的决策过程至关重要。尽管在卫生信息系统开发方面投入了大量资金,但埃塞俄比亚的卫生专业人员仍在与缺乏基本数据管理技能的问题作斗争。因此,本研究旨在评估埃塞俄比亚东北部奥罗米亚特别区公共机构中卫生专业人员的卫生数据管理实践及相关因素。
于2023年3月8日至2023年3月28日对在奥罗米亚特别区工作的442名卫生专业人员进行了基于机构的横断面调查。数据录入Epi-Data V.4.6,然后导出到SPSS V.26统计软件进行处理和分析。进行双变量和多变量逻辑回归分析,以观察卫生数据管理实践与选定自变量之间的关联。双变量逻辑回归分析模型用于识别多变量回归的候选变量,p值<0.2的数据纳入多变量逻辑回归分析模型;p值小于0.05且调整后的OR(AOR)及其95%置信区间用于判定与因变量相关的统计学显著性。
卫生专业人员中良好卫生数据管理实践的患病率为51.1%,95%置信区间为(45.9至55.7)。在本研究中,接受过卫生数据管理培训(AOR=1.82,95%置信区间为(1.06至3.13))、使用适当技术(AOR=1.78,95%置信区间为(1.09至2.91))和具备能力(AOR=6.62,95%置信区间为(4.06至10.80))与卫生专业人员的卫生数据管理实践呈正相关。
近一半的卫生专业人员卫生数据管理实践较差。地区卫生部门应为医疗保健专业人员规划能力建设培训,以提高他们的能力。所有医疗保健机构都应拥有适当且功能正常的卫生数据管理技术。