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Measuring management’s perspective of data quality in Pakistan’s Tuberculosis control programme: a test-based approach to identify data quality dimensions

机译:评估巴基斯坦结核病控制计划中管理层对数据质量的看法:一种基于测试的方法来确定数据质量维度

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BackgroundData quality is core theme of programme’s performance assessment and many organizations do not have any data quality improvement strategy, wherein data quality dimensions and data quality assessment framework are important constituents. As there is limited published research about the data quality specifics that are relevant to the context of Pakistan’s Tuberculosis control programme, this study aims at identifying the applicable data quality dimensions by using the ‘fitness-for-purpose’ perspective. ResultsForty-two respondents pooled a total of 473?years of professional experience, out of which 223?years (47%) were in TB control related programmes. Based on the responses against 11 practical cases, adopted from the routine recording and reporting system of Pakistan’s TB control programme (real identities of patient were masked), completeness, accuracy, consistency, vagueness, uniqueness and timeliness are the applicable data quality dimensions relevant to the programme’s context, i.e. work settings and field of practice. ConclusionBased on a ‘fitness-for-purpose’ approach to data quality, this study used a test-based approach to measure management’s perspective and identified data quality dimensions pertinent to the programme and country specific requirements. Implementation of a data quality improvement strategy and achieving enhanced data quality would greatly help organizations in promoting data use for informed decision making.
机译:背景数据质量是计划绩效评估的核心主题,许多组织没有任何数据质量改进策略,其中数据质量维度和数据质量评估框架是重要组成部分。由于与巴基斯坦结核病控制计划有关的数据质量细节方面的公开研究有限,因此本研究旨在通过“针对目的的适应性”观点来确定适用的数据质量维度。结果有42位受访者汇总了473年的专业经验,其中223年(47%)参与了结核病控制相关项目。根据巴基斯坦结核病控制程序的常规记录和报告系统(屏蔽了患者的真实身份)针对11个实际案例的回答,完整性,准确性,一致性,模糊性,唯一性和及时性是与该计划的背景,即工作环境和实践领域。结论基于“针对目的的适应性”数据质量的方法,该研究使用了基于测试的方法来衡量管理层的观点,并确定了与计划和特定国家要求相关的数据质量维度。实施数据质量改善策略并实现更高的数据质量将极大地帮助组织促进数据用于知情决策。

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