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The development of statutory law in South Australia to support advance care planning

2012· article· en· W2145566834 on OpenAlexaff
Roger Hunt

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2012
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCARE Canada
Fundersnot available
KeywordsStatutory lawPalliative careLegislationAdvance care planningLegislatureDocumentationLiabilityCommon lawMedicineNursingLawPolitical science

Abstract

fetched live from OpenAlex

The practice of advance care planning is influenced by the relevant legislative framework. This paper describes the development of statutory law in South Australia to support palliative care and advance care planning. The presenter, a palliative medicine specialist, provides personal anecdotes about the reasons for this law reform. As with many jurisdictions, legislative evolution involved a Natural Death Act 1983. However, ongoing deficiencies in end of life care arrangements led to the formation of a Parliamentary Select Committee. This in turn led to the Consent to Medical Treatment and Palliative Care Act 1995. This Act made provision for written directions about care and the appointment of surrogates to make medical decisions. Written directions are limited to the terminal phase of illness, while surrogates cannot refuse the natural provision of food and fluid, medication for the relief of suffering at the end of life, or treatment that would render the patient capable of making their own decisions. This Act, the first to have ‘Palliative Care’ in its title, protects clinicians from civil or criminal liability for administering medical treatment with the intention of relieving pain or distress, ‘even though an incidental effect of treatment is to hasten the death of the patient.’ The implications of this legislation for advance care planning and clinical practice will be discussed. Evidence about the documentation of different types of advance care plans in SA will be presented.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.209
GPT teacher head0.489
Teacher spread0.280 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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