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Record W2113231501 · doi:10.1016/j.jalz.2007.08.001

Ethical considerations for decision making for treatment and research participation

2007· article· en· W2113231501 on OpenAlexaff
John D. Fisk, B. Lynn Beattie, Martha Donnelly

Bibliographic record

VenueAlzheimer s & Dementia · 2007
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversity of British ColumbiaHealth Sciences CentreQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsCompetence (human resources)DementiaDutyPsychologyCognitionCognitive impairmentInformed consentContext (archaeology)Construct (python library)MedicineSocial psychologyDiseasePsychiatryComputer scienceAlternative medicinePolitical science

Abstract

fetched live from OpenAlex

Here we review issues of patient decision-making and consent to treatment and research by persons with cognitive impairment and dementia. Clinicians and researchers must recognize their primary duty to care for the individual and must clearly distinguish their role as a clinician and/or researcher. Distinctions between standard care and research must be clearly understood by everyone, as must the clinician's role in each. Both actual and perceived conflicts of interest must be avoided. At present there is insufficient evidence to recommend specific methods for determining competency for decision-making, but a diagnosis of cognitive impairment or dementia does not preclude such competence. Competency is not a unitary or static construct and must be considered as the ability to make an informed decision about participation in the particular context of the specific treatment or study. Clinicians and researchers should consider consent as a process involving both the patient with cognitive impairment and his or her family/caregiver, particularly given the potential that competency for decision-making will change over time. As the availability of advance directives remains limited, clinicians and researchers must make efforts to ensure that decisions made by proxies are based on the prior attitudes and values of the patient.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.302
GPT teacher head0.550
Teacher spread0.248 · 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 designOther design
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

Citations19
Published2007
Admission routes1
Has abstractyes

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