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Record W6998400558

Advance Care Planning The Canadian approach and its advantages for the Austrian health care system

2019· article· en· W6998400558 on OpenAlexaboutno aff

Bibliographic record

VenueUnipub UB Graz (Universität Graz) · 2019
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsAdvance care planningDocumentationHealth careInterviewProcess (computing)Order (exchange)Strengths and weaknesses
DOInot available

Abstract

fetched live from OpenAlex

This master's thesis concentrates on the topic of Advance Care Planning, its implementation in Canada and possible ways it could be implemented in the Austrian health care system.Advance Care Planning is very popular within the Anglo-American region, and it is becoming more popular in Europe as well.At the moment, no standardized definition for Advance Care Planning is available, but all the definitions have one central meaning: Advance Care Planning is a continuous planning process which is carried out in several steps and includes communication between the patient, doctors, nursing staff and the family/relatives in order to document medical treatments that are not desired if certain situations arise during an illness.This thesis focuses first on the current situation in the Austrian health care system and the possible documentation and methods that are currently available ("Patientenverfgung" and "Vorsorgedialog").One of the options is for patients to stipulate non-desired medical treatments in a "Patientenverfgung". Few people in Austria currently have a "Patientenverfgung" or are even aware that issuing such a document is possible.The "Vorsorgedialog" is a communication and documentation process which was recently introduced and has been undergone trials in some nursing homes.After covering the Austrian system, the current research concentrated on gathering more information about Advance Care Planning in Canada by interviewing doctors, nursing staff and social workers across the country.The interviews included questions surrounding the implementation of Advance Care Planning, as well as the legal situation in the given region and the strengths and weaknesses of Advance Care Planning.In the final section, this thesis synthesizes the information gained through the interviews to provide an overview of opportunities for a future implementation of ACP in the Austrian health care system.2 In literature, the wording "advance directive" has been used more often in recent years.Both terms, "living will" and "advance directive", have the same meaning, and the same legal regulations apply within a country.In this work, both terms will be applied depending on the wording used in the literature cited.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.074
GPT teacher head0.359
Teacher spread0.285 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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