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dc.contributor.authorGeorgiou, A
dc.contributor.authorLi, J
dc.contributor.authorPearce, C
dc.contributor.authorMcLeod, A
dc.contributor.authorWabe, N
dc.contributor.authorHardie, RA
dc.contributor.authorFranco, GS
dc.contributor.authorImai, C
dc.contributor.authorSezgin, G
dc.contributor.authorThomas, J
dc.contributor.authorDai, Z
dc.contributor.authorSheikh, MK
dc.contributor.authorProposch, A
dc.contributor.authorBadrick, T
dc.contributor.authoret al.
dc.date.accessioned2021-09-21T00:20:15Z
dc.date.available2021-09-21T00:20:15Z
dc.date.issued2021
dc.identifier.issn1478-4505
dc.identifier.doi10.1186/s12961-021-00772-4
dc.identifier.urihttp://hdl.handle.net/10072/408115
dc.description.abstractBackground: Health systems around the world have been forced to make choices about how to prioritize care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary healthcare has moved into the front line as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to examine the feasibility of using near real-time electronic general practice data to promote effective care and best-practice policy. Methods: The project will utilize a design thinking approach involving all collaborators (primary health networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilizing near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020–December 2021) using data from over 450 general practices within three Victorian PHNs and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. Discussion: The project will be developed using a design thinking approach, leading to the building of a meaningful near real-time COVID-19 geospatial reporting framework and dashboard for decision-makers at community, state and nationwide levels, to identify and monitor emerging trends and the impact of interventions/policy decisions. This will integrate timely evidence about the impact of the COVID-19 pandemic related to its diagnosis and treatment, and its impact across clinical, population and general practice levels.
dc.description.peerreviewedYes
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofpagefrom122
dc.relation.ispartofissue1
dc.relation.ispartofjournalHealth Research Policy and Systems
dc.relation.ispartofvolume19
dc.subject.fieldofresearchPublic health
dc.subject.fieldofresearchPolicy and administration
dc.subject.fieldofresearchHealth economics
dc.subject.fieldofresearchcode4206
dc.subject.fieldofresearchcode4407
dc.subject.fieldofresearchcode380108
dc.subject.keywordsCOVID-19
dc.subject.keywordsDesign thinking
dc.subject.keywordsGeneral practice
dc.subject.keywordsObservational studies
dc.subject.keywordsPandemics
dc.titleCOVID-19: protocol for observational studies utilizing near real-time electronic Australian general practice data to promote effective care and best-practice policy—a design thinking approach
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationGeorgiou, A; Li, J; Pearce, C; McLeod, A; Wabe, N; Hardie, RA; Franco, GS; Imai, C; Sezgin, G; Thomas, J; Dai, Z; Sheikh, MK; Proposch, A; Badrick, T; et al., COVID-19: protocol for observational studies utilizing near real-time electronic Australian general practice data to promote effective care and best-practice policy—a design thinking approach, Health Research Policy and Systems, 2021, 19 (1), pp. 122
dcterms.dateAccepted2021-08-13
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-09-17T01:07:45Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
gro.hasfulltextFull Text
gro.griffith.authorBadrick, Tony C.


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