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Record W2417305821 · doi:10.1177/000841740907600s10

Criterion validity of a home health aide's algorithm for recommending bathroom equipment

2009· article· en· W2417305821 on OpenAlexaffvenue
Manon Guay, Johanne Desrosiers, Marie‐France Dubois

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversité de Sherbrooke
FundersMax Planck School of PhotonicsSpinal Muscular Atrophy Foundation
KeywordsBathingOccupational safety and healthHealth careNursingPopulationMedicineAlgorithmPsychologyEnvironmental healthComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Occupational therapists are experts at adapting bathroom environments. However, to increase access to services, the algorithm "Préalables aux soins d'hygiène" (French for "Prerequisites for bathing care") has been developed to be used by trained home health aides to recommend bathroom equipment. PURPOSE: The purpose of this study was to assess the criterion validity of the algorithm by measuring the level of agreement between an occupational therapist's recommendations (gold standard) and those made by four home health aides using the algorithm. METHODS: Community-living adults with bathing difficulties (n = 96) were visited by both types of evaluators. FINDINGS: Home health aides correctly identified clinical situations in which they should feel confident about their ability (sensitivity: 96%, specificity: 69%) and, apart from type of bathing seat (K(W) = 0.63 [0.52; 0.75]), agreement between recommendations varied from substantial to almost perfect (delta > or = 0.72). IMPLICATIONS: Results increase confidence in the algorithm, but other studies are needed to ensure population safety and fulfil the occupational therapist's obligations.

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)0.000
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 score0.770
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.437
GPT teacher head0.533
Teacher spread0.096 · 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

Citations6
Published2009
Admission routes2
Has abstractyes

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