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Record W1606788550

Older Adults Living AtRisk: Ethical dilemmas, Risk, Assessment and Interventions to Facilitate Autonomy and Safety

2014· article· en· W1606788550 on OpenAlexaffabout
Rhiannon Berke

Bibliographic record

VenueInternational journal of nursing · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsAthabasca University
Fundersnot available
KeywordsAutonomyPsychological interventionHarmEthical dilemmaRisk assessmentDilemmaMedicineGerontologyPsychologyNursingSocial psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

OLDER ADULTS LIVING AT RISK:  ETHICAL DILEMMAS, RISK, ASSESSMENT AND   INTERVENTIONS TO FACILITATE AUTONOMY AND  SAFETY By: Rhiannon Berke, RN, BN rhiannon.berke@albertahealthservices.ca Faculty of Nursing, Athabasca University, 1 University Drive Athabasca, AB, T9S 3A3, Canada                                                  ABSTRACT Older adults (seniors) living at risk are usually identified as adults aged 60 years and older, who are living at home despite having economic, social or physical barriers that affect their overall independence, well-being and quality of life. The purpose of this paper is to provide an overview for nurses and related caregivers of the ethical dilemmas, risk assessment and interventions to facilitate autonomy and safety for this population.  Supporting seniors that choose to live at risk is a complex process and represents an ethical dilemma between respecting individual autonomy versus protecting them from harm.  Seniors who decide to live at risk are at times questioned, and may require competency and physical assessments to gauge whether there is a clear understanding and appreciation of the consequences of their choices.  Interventions and approaches to promote ageing in place safely are described, including the value of the Managed Risk Agreements tool, the role of technology and supportive services.  The positive outcomes of the current interventions and approaches discussed reinforce the need for further research in this area of risk management. Keywords: ageing in place, older adults (seniors), living at risk management, competency

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.448
Teacher spread0.384 · 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 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

Citations1
Published2014
Admission routes2
Has abstractyes

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