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Record W4391061930 · doi:10.1071/ah23237

Medicare Benefits Schedule (MBS) Review Advisory Committee post-implementation review of MBS telehealth items: abolition of initial telehealth consultations for non-general practitioner specialists

2024· article· en· W4391061930 on OpenAlexaff
Jeffrey CL Looi, Stephen Allison, Tarun Bastiampillai, Steve Kisely, William Pring

Bibliographic record

VenueAustralian Health Review · 2024
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTelehealthReimbursementMedicineScheduleFamily medicineTelemedicineHealth carePandemicNursingCoronavirus disease 2019 (COVID-19)Medical emergencyDiseasePolitical science

Abstract

fetched live from OpenAlex

In 2022, the Australian Federal Minister for Health and Aged Care commissioned the Medicare Benefits Schedule (MBS) Review Advisory Committee (MRAC) to conduct a post-implementation review of MBS telehealth services, including settings of video and telephone consultations. The MRAC has made a series of administrative recommendations for telehealth practice that appear at cross-purposes to the evidence-base on medical consultations and that would limit patient access to medical specialist assessment in Australia. These recommendations particularly underestimate the role of telehealth in rural and remote Australia and did not take into account high patient satisfaction with telehealth assessment and treatment during the ongoing coronavirus disease 2019 (COVID-19) pandemic. They also appear to contradict the Medical Board of Australia's guidance on telehealth. On this basis, the recommendations for telehealth principles and abolition of reimbursement for telehealth for all initial non-general practitioner medical specialist consultations should be withdrawn.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.082
GPT teacher head0.482
Teacher spread0.399 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations10
Published2024
Admission routes1
Has abstractyes

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