Maïga Abdoulaye, Jiwani Safia S, Mutua Martin Kavao, Porth Tyler Andrew, Taylor Chelsea Maria, Asiki Gershim, Melesse Dessalegn Y, Day Candy, Strong Kathleen L, Faye Cheikh Mbacké, Viswanathan Kavitha, O'Neill Kathryn Patricia, Amouzou Agbessi, Pond Bob S, Boerma Ties
International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Department of Research, African Population and Health Research Center, Nairobi, Kenya.
BMJ Glob Health. 2019 Sep 29;4(5):e001849. doi: 10.1136/bmjgh-2019-001849. eCollection 2019.
Health facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health institutions analysts from 14 countries in Eastern and Southern Africa, we explored data quality using national-level and subnational-level (mostly district) data for the period 2013-2017. The focus was on endline analysis where reported health facility and other data are compiled, assessed and adjusted for data quality, primarily to inform planning and assessments of progress and performance. The analyses showed that although completeness of reporting was generally high, there were persistent data quality issues that were common across the 14 countries, especially at the subnational level. These included the presence of extreme outliers, lack of consistency of the reported data over time and between indicators (such as vaccination and antenatal care), and challenges related to projected target populations, which are used as denominators in the computation of coverage statistics. Continuous efforts to improve recording and reporting of events by health facilities, systematic examination and reporting of data quality issues, feedback and communication mechanisms between programme managers, care providers and data officers, and transparent corrections and adjustments will be critical to improve the quality of health statistics generated from health facility data.
卫生机构数据是地方和持续健康统计的重要来源。各国已引入基于网络的信息系统，以促进卫生机构数据的管理、分析、使用和可视化。我们与东非和南部非洲14个国家的卫生部团队以及国家公共卫生机构分析师合作，利用2013 - 2017年期间的国家级和次国家级（主要是地区级）数据探索数据质量。重点是终期分析，即对报告的卫生机构数据和其他数据进行汇总、评估并针对数据质量进行调整，主要用于为规划以及对进展和绩效的评估提供信息。分析表明，尽管报告的完整性总体较高，但14个国家普遍存在持续的数据质量问题，尤其是在次国家级层面。这些问题包括存在极端异常值、报告数据在不同时间以及不同指标（如疫苗接种和产前护理）之间缺乏一致性，以及与预计目标人群相关的挑战，预计目标人群在覆盖率统计计算中用作分母。持续努力改善卫生机构对事件的记录和报告、系统检查和报告数据质量问题、项目管理人员、护理提供者和数据官员之间的反馈和沟通机制，以及进行透明的纠正和调整，对于提高从卫生机构数据生成的健康统计数据的质量至关重要。
