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Record W2160024433 · doi:10.3233/wor-121527

Exploring support needed by home health aides in choosing bathing equipment: New challenges for occupational therapy collaboration

2013· article· en· W2160024433 on OpenAlexafffundabout
Manon Guay, Mélanie Levasseur, Sophie Turgeon-Londeï, Marie‐France Dubois, Johanne Desrosiers

Bibliographic record

VenueWork · 2013
Typearticle
Languageen
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsBathingGeneral partnershipTask (project management)NursingOccupational therapyHome healthPsychologyMedicineMedical educationHealth careBusinessPhysical therapyEngineering

Abstract

fetched live from OpenAlex

UNLABELLED: In Quebec (Canada), home health aides are gradually being involved in choosing bathing equipment for community-dwelling clients with bathing difficulties, a task traditionally performed by occupational therapists. OBJECTIVE: This article explores the support home health aides want in assuming this clinical task. PARTICIPANTS: Three home health aides having previously intervened with clients with bathing difficulties. METHODS: Home health aides were first observed while performing an assessment, followed by an in-depth individual interview. RESULTS: Results indicate that participants wish to be trained to acquire further knowledge about bathing equipment and learn to use a tool that would guide and document their observations. They sought partnership with a designated occupational therapist, who would be available to answer questions and assess clients with a complex clinical situation. CONCLUSIONS: These results suggest that needs of home health aides are not currently met and highlight clinical as well as organizational implications.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.440
GPT teacher head0.470
Teacher spread0.030 · 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

Citations13
Published2013
Admission routes3
Has abstractyes

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