Overcoming the data drought: exploring general practice in Australia by network analysis of big data

Simple item page
dc.contributor.authorTran, Bich
dc.contributor.authorStraka, Peter
dc.contributor.authorFalster, Michael O.
dc.contributor.authorDouglas, Kirsty
dc.contributor.authorBritz, Thomas
dc.contributor.authorJorm, Louisa
dc.date.accessioned2019-05-07T02:51:46Z
dc.date.issued2018
dc.date.updated2019-03-12T07:37:14Z
dc.description.abstractObjectives: To investigate the organisation and characteristics of general practice in Australia by applying novel network analysis methods to national Medicare claims data. Design: We analysed Medicare claims for general practitioner consultations during 1994e2014 for a random 10% sample of Australian residents, and applied hierarchical block modelling to identify provider practice communities (PPCs). Participants: About 1.7 million patients per year. Main outcome measures: Numbers and characteristics of PPCs (including numbers of providers, patients and claims), proportion of bulk-billed claims, continuity of care, patient loyalty, patient sharing. Results: The number of PPCs fluctuated during the 21-year period; there were 7747 PPCs in 2014. The proportion of larger PPCs (six or more providers) increased from 32% in 1994 to 43% in 2014, while that of sole provider PPCs declined from 50% to 39%. The median annual number of claims per PPC increased from 5000 (IQR, 40e19 940) in 1994 to 9980 (190e23 800) in 2014; the proportion of PPCs that bulk-billed all patients was lowest in 2004 (21%) and highest in 2014 (29%). Continuity of care and patient loyalty were stable; in 2014, 50% of patients saw the same provider and 78% saw a provider in the same PPC for at least 75% of consultations. Density of patient sharing in a PPC was correlated with patient loyalty to that PPC. Conclusions: During 1994e2014, Australian GP practice communities have generally increased in size, but continuity of care and patient loyalty have remained stable. Our novel approach to the analysis of routinely collected data allows continuous monitoring of the characteristics of Australian general practices and their influence on patient care.en_AU
dc.description.sponsorshipThis investigation includes computations undertaken on the Linux computational cluster Katana, supported by the Faculty of Science at UNSW Sydney. Michael Falster is supported by a National Health and Medical Research Council Early Career Fellowship (1139133).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0025-729Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/160890
dc.language.isoen_AUen_AU
dc.publisherAustralasian Medical Associationen_AU
dc.rights© 2018 AMPCo Pty Ltd. Produced with Elsevier B.V. All rights reserved.en_AU
dc.sourceMedical Journal of Australiaen_AU
dc.titleOvercoming the data drought: exploring general practice in Australia by network analysis of big dataen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue2en_AU
local.bibliographicCitation.lastpage73en_AU
local.bibliographicCitation.startpage68en_AU
local.contributor.affiliationTran, Bich, Centre for Big Data Research in Health Faculty of Medicine UNSWen_AU
local.contributor.affiliationStraka, Peter, University of New South Walesen_AU
local.contributor.affiliationFalster, Michael O., Centre for Big Data Research in Health, Faculty of Medicineen_AU
local.contributor.affiliationDouglas, Kirsty, College of Health and Medicine, ANUen_AU
local.contributor.affiliationBritz, Thomas, University of New South Walesen_AU
local.contributor.affiliationJorm, Louisa, University New South Walesen_AU
local.contributor.authoremailu2572713@anu.edu.auen_AU
local.contributor.authoruidDouglas, Kirsty, u2572713en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor111799 - Public Health and Health Services not elsewhere classifieden_AU
local.identifier.absfor111717 - Primary Health Careen_AU
local.identifier.absseo920299 - Health and Support Services not elsewhere classifieden_AU
local.identifier.ariespublicationu5369653xPUB292en_AU
local.identifier.citationvolume209en_AU
local.identifier.doi10.5694/mja17.01236en_AU
local.identifier.scopusID2-s2.0-85051122133
local.identifier.uidSubmittedByu5369653en_AU
local.publisher.urlhttps://www.ampco.com.au/en_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
01_Tran+_Overcoming_the_data_drought%3A_2018.pdf
Size:
1011.94 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2024 LYRASIS