阿尔法新州:需要什么才能创建一个全州范围的儿科人口级学习健康系统?
Michael Hodgins1, Nora Samir1, Susan Woolfenden1,2
1University of New South Wales, Australia.
概括
改善儿童最初2000天的数据系统至关重要. 全州范围的学习健康系统 (LHS) 可以使用常规数据来识别和解决健康不平等问题,以获得更好的儿童结果.
科学领域:
- 儿童健康信息学
- 公共卫生系统 公共卫生系统
- 学习健康系统 学习健康系统
背景情况:
- 孩子生命的前2000天对长期的健康和教育成果产生重大影响.
- 当前的数据整合挑战阻碍了早期干预服务的有效规划和评估.
- 缺乏可访问的数据限制了利益相关者监测高水平健康结果的能力.
研究的目的:
- 了解全州儿科学习健康系统 (LHS) 的系统和临床要求.
- 探索使用例行收集的数据来识别健康不平等和护理差异.
- 根据确定的需求,为服务开发和提供提供提供信息.
主要方法:
- 审查了澳大利亚行政数据使用案例.
- 咨询了关于LHS需求的临床,政策和数据利益相关者.
- 绘制儿童健康指标及其在前2000天的地理分布图.
主要成果:
- 确定可用和可访问的关键指标,以告知服务交付.
- 证明了行政数据的潜力,揭示了卫生需求和服务可用性之间的差距.
- 强调需要更好地利用数据来确定需要干预的领域.
结论:
- 建议加强全州LHS的数据收集,可访问性和整合.
- 倡导简化数据流程 (清理,分析,可视化) 以及时识别处于风险的人群.
- 强调强大的LHS对于改善儿童健康结果的重要性.
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