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Record W2316108270 · doi:10.5694/mja14.00843

The cost‐effectiveness of primary care for Indigenous Australians with diabetes living in remote Northern Territory communities

2014· letter· en· W2316108270 on OpenAlexaboutno aff
David Whyatt, Alistair Vickery, Matthew Yap

Bibliographic record

VenueThe Medical Journal of Australia · 2014
Typeletter
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
FundersDepartment of Health and Social Care
KeywordsIndigenousPrimary careMedicineGeographyNorthern territoryPrimary health careDiabetes mellitusSocioeconomicsGerontologyEnvironmental healthFamily medicineSociologyEcologyArchaeologyPopulationBiology

Abstract

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Medical Journal of AustraliaVolume 201, Issue 8 p. 448-450 Letter The cost-effectiveness of primary care for Indigenous Australians with diabetes living in remote Northern Territory communities David J Whyatt, Corresponding Author David J Whyatt Research Associate Professor [email protected] School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, WA.Correspondence: [email protected]Search for more papers by this authorAlistair Vickery, Alistair Vickery Professor School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, WA.Search for more papers by this authorMatthew Yap, Matthew Yap Research Assistant School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, WA.Search for more papers by this author David J Whyatt, Corresponding Author David J Whyatt Research Associate Professor [email protected] School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, WA.Correspondence: [email protected]Search for more papers by this authorAlistair Vickery, Alistair Vickery Professor School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, WA.Search for more papers by this authorMatthew Yap, Matthew Yap Research Assistant School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, WA.Search for more papers by this author First published: 20 October 2014 https://doi.org/10.5694/mja14.00843Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References 1Thomas SL, Zhao Y, Guthridge SL, Wakerman J. The cost-effectiveness of primary care for Indigenous Australians with diabetes living in remote Northern Territory communities. Med J Aust 2014; 200: 658–662. https://www.mja.com.au/journal/2014/200/11/cost-effectiveness-primary-care-indigenous-australians-diabetes-living-remote 2Levesque JF, Harris MF, Russell G. Patient-centred access to health care: conceptualising access at the interface of health systems and populations. Int J Equity Health 2013; 12: 18. 3Rosano A, Loha CA, Falvo R, et al. The relationship between avoidable hospitalization and accessibility to primary care: a systematic review. Eur J Public Health 2013; 23: 356–360. 4Kane RL. Finding the right level of posthospital care: "We didn't realize there was any other option for him". JAMA 2011; 305: 284–293. 5Lin G, Allan DE, Penning MJ. Examining distance effects on hospitalizations using GIS: a study of three health regions in British Columbia, Canada. Environ Plan A 2002; 34: 2037–2053. doi: 10.1068/a3528. Volume201, Issue8Oncology issueOctober 2014Pages 448-450 ReferencesRelatedInformation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.072
GPT teacher head0.392
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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