Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P. O. Box: 196, Gondar, Ethiopia.
Amhara National Regional Sate Health Bureau, Bahir Dar, Ethiopia.
Health Res Policy Syst. 2023 Jun 26;21(1):62. doi: 10.1186/s12961-023-01006-5.
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.
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.
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.
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.
循证决策是健康信息系统的基础;然而,在阿姆哈拉地区,决策者并没有经常利用常规卫生信息。因此,本研究旨在探讨卫生机构和部门负责人对常规卫生信息需求和用于决策的看法。
本研究采用现象学定性研究方法,于 2019 年 6 月 10 日至 7 月 30 日在阿姆哈拉地区的 8 个区进行。我们获得了书面知情同意书,并通过目的性抽样方法招募了 22 名关键信息提供者。研究团队编写了一个代码本,将想法分配给代码,确定显著模式,对相似的想法进行分组,并从数据中开发主题。因此,使用 OpenCode 软件对数据进行了主题分析。
研究表明,卫生工作者收集了许多数据,但很少有数据被要求和用于决策。大多数受访者认为数据收集只是为了报告。缺乏数据管理、分析、解释和使用技能是技术属性。个人属性包括员工动机低、粗心大意以及对数据缺乏重视。数据获取困难、对健康信息系统的支持有限、存档空间有限以及资金不足与组织属性有关。(社会政治)背景因素也影响了电子卫生应用程序的使用,以提高医疗保健提供者对数据的需求和使用。
在这项研究中,卫生工作者仅仅为了报告而收集常规卫生数据,他们并没有要求和主要使用这些数据来做出决策和解决问题。技术、个人、组织和背景因素是导致常规卫生数据需求和使用不足的原因。因此,我们建议提高卫生工作者的技术能力,引入激励机制,并确保问责制系统,以更好地利用数据。