背景:基于证据的决策是卫生信息系统的基础;然而,阿姆哈拉地区的决策者并不主要利用常规健康信息。因此,本研究旨在探讨机构和部门负责人对日常健康信息需求和使用决策的看法。
方法:从2019年6月10日至2019年7月30日,在阿姆哈拉地区的八个地区进行了现象学定性研究。我们获得了书面知情同意书,并有目的地招募了22名关键线人。研究小组准备了一个码本,为想法分配代码,确定的显著模式,将类似的想法分组,并从数据中发展出主题。因此,数据使用OpenCode软件进行主题分析。
结果:研究表明,卫生工作者收集了许多数据,但是很少有人要求和利用它来为决策提供信息。大多数受访者认为收集数据只是为了报告。缺乏数据管理技能,分析,解释,和使用是技术属性。个人属性包括员工积极性低,粗心大意,数据缺乏价值。数据访问不良,对健康信息系统的低支持,存档空间有限,资金不足与组织属性有关。背景(社会政治)因素也影响了eHealth应用程序的使用,以改善医疗保健提供者之间的数据需求和使用。
结论:在这项研究中,卫生工作者收集常规健康数据仅用于报告,他们并没有要求和主要使用它来告知决策和解决问题。技术,个人,组织,和上下文属性是对常规健康数据的低需求和使用的原因。因此,我们建议建立卫生工作者的技术能力,引入激励机制并确保问责制度,以更好地使用数据。
BACKGROUND: Evidence-based decision-making is a foundation of health information systems; however, routine health information is not mostly utilized by decision makers in the Amhara region. Therefore, this study aimed to explore the facility and department heads\' perceptions towards the demand for and use of routine health information for decision making.
METHODS: A phenomenological qualitative study was done in eight districts of the Amhara region from June 10/2019 to July 30/2019. We obtained written informed consent and recruited 22 key informants purposively. The research team prepared a codebook, assigned codes to ideas, identified salient patterns, grouped similar ideas, and developed themes from the data. Thus, data were analyzed thematically using OpenCode software.
RESULTS: The study revealed that health workers collected many data, but little was demanded and utilized to inform decisions. The majority of respondents perceived that data were collected merely for reporting. Lack of skills in data management, analysis, interpretation, and use were the technical attributes. Individual attributes included low staff motivation, carelessness, and lack of value for data. Poor access to data, low support for Health Information System, limited space for archiving, and inadequate finance were related to organizational attributes. The contextual (social-political) factors also influenced the use of eHealth applications for improved data demand and use among health care providers.
CONCLUSIONS: In this study, health workers collect routine health data merely for reporting, and they did not demand and use it mostly to inform decisions and solve problems. Technical, individual, organizational, and contextual attributes were contributors to low demand and use of routine health data. Thus, we recommend building the technical capacity of health workers, introducing motivation mechanisms and ensuring accountability systems for better data use.