Evidence map›Paper›PMID 34493295›Full record

ArticleHealth research policy and systems2021

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.

Andrew Georgiou, Julie Li, Christopher Pearce, Adam McLeod, Nasir Wabe, Rae-Anne Hardie, Guilherme Saffi Franco, Chisato Imai, Gorkem Sezgin, Judith Thomas and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health research policy and systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

17 authors.

Andrew GeorgiouAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia. andrew.georgiou@mq.edu.au.ORCID http://orcid.org/0000-0002-7619-3668
Julie LiAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Christopher PearceOutcome Health, Blackburn, VIC, 3130, Australia.
Adam McLeodOutcome Health, Blackburn, VIC, 3130, Australia.
Nasir WabeAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Rae-Anne HardieAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Guilherme Saffi FrancoAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Chisato ImaiAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Gorkem SezginAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Judith ThomasAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Zhaoli DaiAustralian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Australia.
Muhammad Kashif SheikhGippsland Primary Health Network, Traralgon, VIC, 3844, Australia.
Amanda ProposchGippsland Primary Health Network, Traralgon, VIC, 3844, Australia.
Stephen WeedingEastern Melbourne Primary Health Network, Box Hill, VIC, 3128, Australia.
Brendon WickhamSouth Eastern Melbourne Primary Health Network, 3202, Heatherton, VIC, Australia.
Tony BadrickRoyal College of Pathologists of Australasia, Quality Assurance Programs, St Leonards, NSW, 2065, Australia.
Darnel MurgatroydDigital Health Cooperative Research Centre, Sydney, NSW, 2006, Australia.

Funding

Digital Health Cooperative Research Centre Partnership Project grant DHCRC-0118
6 · The paper itself

Abstract

backgroundHealth 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.

methodsThe 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.

Indexed as

COVID-19General PracticeAustraliaCOVID-19 TestingElectronicsHumansPandemicsPolicySARS-CoV-2COVID-19Design thinkingGeneral practiceObservational studiesPandemicsQuality of care

Identifiers

PMID34493295
PMCPMC8423333

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.