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A socio-technical approach to understanding data quality in health information systems: Data quality intervention in Kenya

机译:理解健康信息系统中数据质量的社会技术方法:肯尼亚的数据质量干预

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Health information systems in developing countries have shown great improvements in terms of being able to collect data from health facilities. While this is commendable, there is an urgent need to move from data collection towards data use for evidence based decision making. Data quality has been identified as a major impediment towards data use. We carried out a data quality intervention study in Kenya using action research approach. The objective of the study was to implement mutually agreed activities that would eventually be institutionalized in the country based on the actor network theory analytical lens. This paper gives the initial results of the first part of action research, where the stakeholders identified data quality audits, monthly data review meetings and training in data management as the main activities for implementation. Once implemented, it is hoped that the results will be useful in countries with similar settings.
机译:发展中国家的健康信息系统对能够从卫生设施收集数据方面表现出巨大的改进。虽然这是值得称道的,但迫切需要从数据收集到数据用于基于证据的决策。数据质量已被确定为数据使用的主要障碍。我们使用行动研究方法在肯尼亚进行了数据质量干预研究。该研究的目的是实施基于Actor网络理论分析镜头的国家最终制度化的相互商定的活动。本文提供了行动研究的第一部分的初始结果,利益相关者确定了数据质量审核,每月数据审查会议和数据管理中的培训作为实施的主要活动。一旦实施,希望结果在具有类似的国家的国家。

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