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Record W2417698875 · doi:10.1016/j.gheart.2016.03.063

PS018 Task-Shifting of Handheld Echocardiographic Screening for Rheumatic Heart Disease: Longitudinal Performance of Non-Experts in a School-Based Program

2016· article· en· W2417698875 on OpenAlexaboutno aff
Andrea Beaton, Bruno Nascimento, Adriana C Diamantino, Lindsay Perlman, Alison Tompsett, António Bettencourt Ribeiro, Craig Sable, Maíra Meira Nunes

Bibliographic record

VenueGlobal Heart · 2016
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAcute rheumatic feverMedicineIndigenousHeart diseaseRheumatic feverDiseaseEpidemiologyIntensive care medicineRheumatic diseasePhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Indigenous children and young peoples live with an inequitable burden of acute rheumatic fever and rheumatic heart disease. In this Review, we focus on the epidemiological burden and lived experience of these conditions for Indigenous young peoples in Australia, New Zealand, and Canada. We outline the direct and indirect drivers of rheumatic heart disease risk and their mitigation. Specifically, we identify the opportunities and limitations of predominantly biomedical approaches to the primary, secondary, and tertiary prevention of disease among Indigenous peoples. We explain why these biomedical approaches must be coupled with decolonising approaches to address the underlying cause of disease. Initiatives underway to reduce acute rheumatic fever and rheumatic heart disease in Australia, New Zealand, and Canada are reviewed to identify how an Indigenous rights-based approach could contribute to elimination of rheumatic heart disease and global disease control goals.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.336
Teacher spread0.311 · 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.

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

Citations5
Published2016
Admission routes1
Has abstractyes

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