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Record W2142226234 · doi:10.1017/s0144686x13000743

An evaluation of a person-centred care programme for long-term care facilities

2013· article· en· W2142226234 on OpenAlexafffundabout
Jaime Williams, Thomas Hadjistavropoulos, Omeed O. Ghandehari, Xue Yao, Lisa M. Lix

Bibliographic record

VenueAgeing and Society · 2013
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of ManitobaUniversity of Regina
FundersSaskatchewan Health Research Foundation
KeywordsAutonomyFocus groupLong-term careMinimum Data SetNursingScale (ratio)Quality (philosophy)PsychologyControl (management)Set (abstract data type)MedicineMedical educationNursing homesBusinessComputer science

Abstract

fetched live from OpenAlex

ABSTRACT Person-centred approaches in long-term care focus on providing holistic care to residents in order to improve quality of life, enhance resident wellbeing and autonomy, and mitigate behavioural and/or other symptoms. The results of research on person-centred approaches to care are mixed, with very few high-quality empirical studies examining resident outcomes specifically. The purpose of this investigation was to examine a person-centred care programme implemented in three Canadian long-term care facilities to determine its effect on resident outcomes, approach to care and maintenance of the programme three years after implementation. Using the Resident Assessment Instrument Minimum Data Set (RAI-MDS) scale scores and quality indicators, we retrospectively examined resident outcomes before, after and six months following the initiation of the programme using three additional facilities as control. We did not find any effects on resident outcomes. Focus group interviews with facility staff revealed no systematic differences between the programme and control facilities in their approach to care. All facilities supported aspects of a person-centred philosophy. Focus group interview data from the programme facilities indicated partial maintenance in two facilities and more complete maintenance in one facility. Although staff members supported the programme, implementation and maintenance proved difficult and effectiveness on resident outcomes was not indicated in this research. Additional controlled studies are needed.

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 score0.116
Threshold uncertainty score0.384

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 studies0.0000.000
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 head0.093
GPT teacher head0.386
Teacher spread0.294 · 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

Citations37
Published2013
Admission routes3
Has abstractyes

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