University of New South Wales, Australia.
Sydney Institute for Women, Children and their Families, Sydney Local Health District, Australia.
Health Inf Manag. 2024 Sep;53(3):217-226. doi: 10.1177/18333583231176597. Epub 2023 Jul 7.
The health and well-being of children in the first 2000 days has a lasting effect on educational achievement and long-term chronic disease in later life. However, the lack of integration between high-quality data, analytic capacity and timely health improvement initiatives means practitioners, service leaders and policymakers cannot use data effectively to plan and evaluate early intervention services and monitor high-level health outcomes.
Our exploratory study aimed to develop an in-depth understanding of the system and clinical requirements of a state-wide paediatric learning health system (LHS) that uses routinely collected data to not only identify where the inequities and variation in care are, but also to also inform service development and delivery where it is needed most.
Our approach included reviewing exemplars of how administrative data are used in Australia; consulting with clinical, policy and data stakeholders to determine their needs for a child health LHS; mapping the existing data points collected across the first 2000 days of a child's life and geospatially locating patterns of key indicators for child health needs.
Our study identified the indicators that are available and accessible to inform service delivery and demonstrated the potential of using routinely collected administrative data to identify the gap between health needs and service availability.
We recommend improving data collection, accessibility and integration to establish a state-wide LHS, whereby there is a streamlined process for data cleaning, analysis and visualisation to help identify populations in need in a timely manner.
儿童生命最初 2000 天的健康和福祉对教育成就和以后生活中的长期慢性疾病有持久影响。然而，高质量数据、分析能力和及时的健康改善举措之间缺乏整合，这意味着从业者、服务领导者和政策制定者无法有效地利用数据来规划和评估早期干预服务，并监测高水平的健康结果。
我们的探索性研究旨在深入了解全州儿科学习健康系统（LHS）的系统和临床要求，该系统使用常规收集的数据，不仅可以确定护理中的不公平和差异所在，还可以为最需要的地方提供服务开发和交付的信息。
我们的方法包括审查澳大利亚如何使用行政数据的范例；咨询临床、政策和数据利益相关者，以确定他们对儿童健康 LHS 的需求；映射儿童生命最初 2000 天中收集的现有数据点，并在地理上定位儿童健康需求的关键指标模式。
我们的研究确定了可用于告知服务提供的现有和可访问的指标，并展示了使用常规收集的行政数据来识别健康需求和服务提供之间差距的潜力。
我们建议改进数据收集、可及性和整合，以建立全州范围的 LHS，从而建立一个数据清理、分析和可视化的简化流程，以便及时帮助确定有需求的人群。
