Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Basel, Switzerland.
University of Basel, Basel, Switzerland.
BMC Public Health. 2023 May 31;23(1):1030. doi: 10.1186/s12889-023-15979-z.
High quality health data as collected by health management information systems (HMIS) is an important building block of national health systems. District Health Information System 2 (DHIS2) software is an innovation in data management and monitoring for strengthening HMIS that has been widely implemented in low and middle-income countries in the last decade. However, analysts and decision-makers still face significant challenges in fully utilizing the capabilities of DHIS2 data to pursue national and international health agendas. We aimed to (i) identify the most relevant health indicators captured by DHIS2 for tracking progress towards the Sustainable Development goals in sub-Saharan African countries and (ii) present a clear roadmap for improving DHIS2 data quality and consistency, with a special focus on immediately actionable solutions. We identified that key indicators in child and maternal health (e.g. vaccine coverage, maternal deaths) are currently being tracked in the DHIS2 of most countries, while other indicators (e.g. HIV/AIDS) would benefit from streamlining the number of indicators collected and standardizing case definitions. Common data issues included unreliable denominators for calculation of incidence, differences in reporting among health facilities, and programmatic differences in data quality. We proposed solutions for many common data pitfalls at the analysis level, including standardized data cleaning pipelines, k-means clustering to identify high performing health facilities in terms of data quality, and imputation methods. While we focus on immediately actionable solutions for DHIS2 analysts, improvements at the point of data collection are the most rigorous. By investing in improving data quality and monitoring, countries can leverage the current global attention on health data to strengthen HMIS and progress towards national and international health priorities.
高质量的健康数据是国家卫生系统的重要组成部分,这些数据通常由健康管理信息系统(HMIS)收集。DHIS2 软件是数据管理和监测方面的一项创新,它在过去十年中已在中低收入国家广泛实施,用于加强 HMIS。然而,分析人员和决策者仍然面临着充分利用 DHIS2 数据来实现国家和国际卫生议程的巨大挑战。我们的目的是:(i)确定 DHIS2 中捕获的与跟踪撒哈拉以南非洲国家可持续发展目标进展情况最相关的健康指标;(ii)为改善 DHIS2 数据质量和一致性制定明确的路线图,特别关注可立即实施的解决方案。我们发现,大多数国家的 DHIS2 目前正在跟踪儿童和孕产妇健康方面的关键指标(例如疫苗接种覆盖率、孕产妇死亡),而其他指标(例如艾滋病毒/艾滋病)则受益于简化收集的指标数量和标准化病例定义。常见的数据问题包括计算发病率时不可靠的分母、卫生机构之间报告的差异以及数据质量方面的方案差异。我们针对分析层面的许多常见数据陷阱提出了解决方案,包括标准化的数据清理管道、k-均值聚类以识别数据质量方面表现良好的卫生机构,以及插补方法。虽然我们专注于为 DHIS2 分析人员提供可立即实施的解决方案,但在数据收集点进行改进是最严格的。通过投资于改善数据质量和监测,各国可以利用当前全球对卫生数据的关注,加强 HMIS 并朝着国家和国际卫生重点迈进。