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Record W4404658422 · doi:10.1136/bmjopen-2024-095727

Study protocol: Return to Country, an Australia-wide prospective observational study about returning First Nations renal patients home

2024· article· en· W4404658422 on OpenAlexaboutno aff
Yomei Jones, Mandy Truong, Alan Cass, Fiona Heerink, Stephen P. McDonald, Scott Jones, Andrew Mallett, Sandawana William Majoni, Cherian Sajiv, Khalil Patankar, Eddie Mulholland, Solomon Woldeyohannes, Paul Lawton

Bibliographic record

VenueBMJ Open · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research CouncilMenzies School of Health Research
KeywordsMedicineResearch ethicsHealth services researchFamily medicinePublic healthObservational studyHealth economicsEnvironmental healthQualitative researchAuditNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: In Australia, kidney failure treatment disparities exist between Aboriginal and/or Torres Strait Islander (First Nations) and non-First Nations people. Despite persistent calls from First Nations patients with kidney failure, they are less likely to have treatment that allows them to live at home. METHODS AND ANALYSIS: This is a prospective, multicentre study based in Australia. The aim of the study is to characterise the socioeconomic, environmental, health service and biomedical factors driving the health outcomes and patterns of health service utilisation experienced by First Nations patients and investigate whether health service changes to address these identified barriers can achieve higher rates of renal replacement therapy at home on country. This will be achieved by mixed-methods data collection at health service (audit and process data), staff (surveys and qualitative interviews) and patient (survey testing, feedback sessions, health outcomes) levels. A process evaluation will identify barriers and enablers to health services changes in relation to cultural safety. Baseline and follow-up data will be compared to assess the extent to which health services change their service delivery and the impact on health outcomes for First Nations patients with kidney failure. Qualitative and quantitative data will be integrated to provide an in-depth understanding of project outcomes and impacts. ETHICS AND DISSEMINATION: This study is funded by the National Health and Medical Research Council of Australia (GNT1158075). Ethics approval has been obtained so far from the Human Research Ethics Committee (HREC) of the Northern Territory Department of Health and Menzies School of Health Research (2019-3530), Far North Queensland HREC (2023/QCH/99606 (Nov ver 4)-1732), the Central Adelaide Local Health Network HREC (2023/HRE00209), the Aboriginal Health Council of South Australia (AHREC Protocol #: 04-23-1078), the Aboriginal Health and Medical Research Council of New South Wales (AH&MRC HREC reference: 2230/24) and the Far North Queensland Human Research Ethics Committee (FNQ HREC reference: HREC/2023/QCH/99606 (Nov ver 4)-1732). Study participants, policy makers and community organisations will be provided with updates of study findings. Dissemination of study findings will be through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: ACTRN12623001241628.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.049
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.049
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.039
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0040.004
Science and technology studies0.0040.003
Scholarly communication0.0050.005
Open science0.0040.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0390.011

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 head0.155
GPT teacher head0.486
Teacher spread0.331 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreProtocol

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

Citations3
Published2024
Admission routes1
Has abstractyes

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