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Lumos:澳大利亚一项将全科医疗数据整合起来以指导系统重新设计的全州范围的联动项目。

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

作者信息

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

机构信息

Ministry of Health, NSW Health, St Leonards, New South Wales, Australia.

School of Computer Science, University of Technology Sydney, Sydney, New South Wales, Australia.

出版信息

Integr Healthc J. 2021 May 16;3(1):e000074. doi: 10.1136/ihj-2021-000074. eCollection 2021.

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.

摘要

目的

随着澳大利亚人口老龄化,越来越多的人寿命延长并患有慢性或复杂的健康问题。面临的挑战是获取能够支持跨连续医疗环境和医疗服务提供者整合服务的信息,以提供以人为本、无缝、高效且有效的医疗保健服务。然而,在澳大利亚,数据通常在各个医疗环境中处于孤立状态,无法全面了解患者的就医过程。在此,我们描述了Lumos项目的建立——澳大利亚首个覆盖全州的、连接初级保健及其他医疗环境的关联数据资产,并评估其对普查人口的代表性。

方法与分析

从澳大利亚人口最多的新南威尔士州(NSW)的全科诊所提取的记录,与急性病及其他医疗环境中的患者记录相链接。采用了创新的隐私和安全技术,以促进持续定期更新。通过计算多种代表性指标,将Lumos队列的边际人口分布与新南威尔士州的普查人口进行比较,以评估其普遍性。

结果

Lumos项目的首次数据提取将130万患者的全科诊所记录与新南威尔士州其他卫生系统数据相链接。这占新南威尔士州人口的16%。在计算出的代表性指标中,Lumos项目中患者的人口分布与新南威尔士州人口的分布一致性超过95%。

结论

Lumos项目提供了一个持久的、定期更新的数据资源,能对全州范围内跨医疗环境的医疗保健利用情况提供独特见解。Lumos数据资产中所涵盖的全科诊所患者总体上代表了新南威尔士州的人口。Lumos数据可可靠地用于识别高危地区和群体,指导卫生服务的规划和设计,并监测其在新南威尔士州的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2abb/10240716/385b8a9cf18a/ihj-2021-000074f01.jpg

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