Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign.

Patricia Correll, Anne-Marie Feyer, Phuong-Thao Phan, Barry Drake, Walid Jammal, Katie Irvine, Adrian Power, Sharon Muir, Shahana Ferdousi, Samantha Moubarak, Yalchin Oytam, James Linden, Louise Fisher
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引用次数: 6

Abstract

Objective: With ageing of the Australian population, more people are living longer and experiencing chronic or complex health conditions. The challenge is to have information that supports the integration of services across the continuum of settings and providers, to deliver person-centred, seamless, efficient and effective healthcare. However, in Australia, data are typically siloed within health settings, precluding a comprehensive view of patient journeys. Here, we describe the establishment of the Lumos programme-the first statewide linked data asset across primary care and other settings in Australia and evaluate its representativeness to the census population.

Methods and analysis: Records extracted from general practices throughout New South Wales (NSW), Australia's most populous state, were linked to patient records from acute and other settings. Innovative privacy and security technologies were employed to facilitate ongoing and regular updates. The marginal demographic distributions of the Lumos cohort were compared with the NSW census population by calculating multiple measures of representation to evaluate its generalisability.

Results: The first Lumos programme data extraction linked 1.3 million patients' general practice records to other NSW health system data. This represented 16% of the NSW population. The demographic distribution of patients in Lumos was >95% aligned to that of the NSW population in the calculated measures of representativeness.

Conclusion: The Lumos programme delivers an enduring, regularly updated data resource, providing unique insights about statewide, cross-setting healthcare utilisation. General practice patients represented in the Lumos data asset are representative of the NSW population overall. Lumos data can reliably be used to identify at-risk regions and groups, to guide the planning and design of health services and to monitor their impact throughout NSW.

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Lumos:澳大利亚的一个全州联动项目,整合一般实践数据以指导系统重新设计。
目的:随着澳大利亚人口的老龄化,越来越多的人寿命更长,患有慢性或复杂的健康状况。面临的挑战是,要有支持在各种环境和提供者之间整合服务的信息,以提供以人为本、无缝、高效和有效的医疗保健。然而,在澳大利亚,数据通常集中在卫生机构内部,无法全面了解患者的就诊情况。在这里,我们描述了Lumos计划的建立,这是澳大利亚第一个跨初级保健和其他设置的全州关联数据资产,并评估了其对人口普查的代表性。方法和分析:从澳大利亚人口最多的州新南威尔士州(NSW)的全科诊所提取的记录与急性和其他情况下的患者记录相关联。采用创新的隐私和安全技术,以促进持续和定期更新。将Lumos队列的边际人口分布与新南威尔士州人口普查人口进行比较,计算多重代表性措施,以评估其普遍性。结果:第一个Lumos项目数据提取将130万患者的一般实践记录与新南威尔士州其他卫生系统数据联系起来。这占新南威尔士州人口的16%。在计算的代表性措施中,Lumos患者的人口统计学分布与NSW人口的分布一致度>95%。结论:Lumos项目提供了一个持久的、定期更新的数据资源,提供了关于全州、跨设置医疗保健利用的独特见解。Lumos数据资产中所代表的全科患者代表了新南威尔士州的总体人口。Lumos数据可以可靠地用于确定风险区域和群体,指导卫生服务的规划和设计,并监测其在整个新南威尔士州的影响。
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