Department of Health Informatics, School of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.
Department of Public Health, School of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.
Ethiop J Health Sci. 2022 Mar;32(2):433-444. doi: 10.4314/ejhs.v32i2.24.
Routine health information is the pillar for planning and management of health services and plays a vital role in effective and efficient health service delivery, decision making, and the improvement of programs. Therefore, this study aimed to assess routine health information utilization and associated factors among health professionals working in public health facilities of the south region.
Institution based cross-sectional study design was employed. Data was collected from randomly selected 719 participants using a pre-tested, interviewer administered structured questionnaire. Bivariate and multivariate logistic regression analyses were carried out.
The overall utilization of routine health information was 63.1. Place of residence, HMIS personnel, HMIS code, overwhelming data source, population based data, data quality control, feedback, monitoring chart, 8.467) and data transfer policy were factors significantly associated with utilization of routine health information.
Six out of ten health professionals had utilized routine health information. Place of residence, HMIS personnel, HMIS code, overwhelming data source, population based data, data quality control, feedback, monitoring chart and data transfer policy had significant associations with routine health information utilization. Therefore, concerned health authorities need to work on these factors to improve the utilization.
常规卫生信息是规划和管理卫生服务的支柱,对于有效和高效地提供卫生服务、决策以及改善各项计划起着至关重要的作用。因此,本研究旨在评估在南部地区公共卫生机构工作的卫生专业人员对常规卫生信息的利用情况及其相关因素。
采用基于机构的横断面研究设计。使用经过预测试的、由访谈员管理的结构化问卷,从随机抽取的 719 名参与者中收集数据。进行了单变量和多变量逻辑回归分析。
常规卫生信息的总体利用率为 63.1%。居住地、HMIS 人员、HMIS 编码、数据来源过多、基于人群的数据、数据质量控制、反馈、监测图表和数据传输政策是与常规卫生信息利用相关的因素。
十分之六的卫生专业人员利用了常规卫生信息。居住地、HMIS 人员、HMIS 编码、数据来源过多、基于人群的数据、数据质量控制、反馈、监测图表和数据传输政策与常规卫生信息的利用具有显著关联。因此,相关卫生当局需要针对这些因素加以改进,以提高常规卫生信息的利用率。