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Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign
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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240716/ https://www.ncbi.nlm.nih.gov/pubmed/37441059 http://dx.doi.org/10.1136/ihj-2021-000074 |
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author | 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 |
author_facet | 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 |
author_sort | Correll, Patricia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10240716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-102407162023-07-12 Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign 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 Integr Healthc J Original Research 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. BMJ Publishing Group 2021-05-16 /pmc/articles/PMC10240716/ /pubmed/37441059 http://dx.doi.org/10.1136/ihj-2021-000074 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research 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 Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign |
title | Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign |
title_full | Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign |
title_fullStr | Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign |
title_full_unstemmed | Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign |
title_short | Lumos: a statewide linkage programme in Australia integrating general practice data to guide system redesign |
title_sort | lumos: a statewide linkage programme in australia integrating general practice data to guide system redesign |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240716/ https://www.ncbi.nlm.nih.gov/pubmed/37441059 http://dx.doi.org/10.1136/ihj-2021-000074 |
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