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Record W4311195208 · doi:10.5770/cgj.25.575

Restraint Practices in Incapable Wandering Patients During COVID-19: Ethics and Best Practice Recommendations

2022· article· en· W4311195208 on OpenAlexaffvenue
Olivia Geen, Shannon Gui, Sandra Andreychuk, Tony DeBono, Haroon Yousuf

Bibliographic record

VenueCanadian Geriatrics Journal · 2022
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsRoyal Ottawa Mental Health CentreHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsMedicineContext (archaeology)DementiaFront lineRecallNursingCoronavirus disease 2019 (COVID-19)Health carePandemicRisk managementPsychiatryMedical emergencyDiseaseLawPsychology

Abstract

fetched live from OpenAlex

Patients who wander as one of their psychological and behavioural symptoms of dementia are often unable to follow or recall Infection Prevention and Control precautions, putting them at risk of contracting or spreading COVID-19. Physical and chemical restraints have been used to limit the risk of transmission to wandering patients and their care providers, but restraints are not the standard of care for wandering behaviour in non-pandemic scenarios. Although provincial policies on restraint use are available, their guidance may not provide the context-dependent information necessary for individual patient decisions. To address this knowledge gap, we reviewed the medical, ethical, and legal considerations through an interdisciplinary approach including nurses, physicians, ethicists, hospital leadership, risk management, and legal counsel. We present an ethical framework that front-line health-care workers can use to create a balanced patient-centred care plan for incapable wandering patients who are at risk of contracting or spreading COVID-19.

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)0.005
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.110
GPT teacher head0.431
Teacher spread0.321 · 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 designNot applicable
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

Citations2
Published2022
Admission routes2
Has abstractyes

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