Evidence map›Paper›PMID 37441059›Full record

ArticleIntegrated healthcare journal2021

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 and 3 more

Abstract read
In one paragraph

Article in Integrated healthcare journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Attitudes towards data access and sharing health data for research: a case study of Australian data custodian perspectives.Health information management : journal of the Health Information Management Association of Australia · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Creating person-centred health care value together.The Medical journal of Australia · 2022
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Patricia CorrellMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.
Anne-Marie FeyerSchool of Computer Science, University of Technology Sydney, Sydney, New South Wales, Australia.
Phuong-Thao PhanMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.
Barry DrakeSchool of Computer Science, University of Technology Sydney, Sydney, New South Wales, Australia.
Walid JammalHills Family General Practice, Castle Hill, New South Wales, Australia.
Katie IrvineMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.
Adrian PowerMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.
Sharon MuirRiverstone Family Medical Practice, Riverstone, New South Wales, Australia.
Shahana FerdousiWestern Sydney Primary Health Network, Blacktown, New South Wales, Australia.
Samantha MoubarakMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.
Yalchin OytamMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.
James LindenMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.
Louise FisherMinistry of Health, NSW Health, St Leonards, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

general practicehealthcare quality improvementmedical record linkageprimary carestatistics

Identifiers

PMID37441059
PMCPMC10240716

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.