MétaCan
Menu
Back to cohort
Record W4413732497 · doi:10.1177/20556683251370322

Suction cup handholds have low efficacy in laboratory evaluation with typical bathing conditions and wall materials

2025· article· en· W4413732497 on OpenAlexafffund
Hanaan H. Z. Deen, Iris C. Levine, Roger E. Montgomery, Steven Pong, Alison C. Novak

Bibliographic record

VenueJournal of Rehabilitation and Assistive Technologies Engineering · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsUniversity of TorontoCarleton UniversityToronto Rehabilitation InstituteUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsSuctionBathingMedicineBathtubMaterials scienceEngineeringComposite materialMechanical engineering

Abstract

fetched live from OpenAlex

Background: Suction cup handholds are sometimes recommended by Occupational Therapists for bathing transfers when permanent grab bars are not feasible. The efficacy of suction cup handholds on typical bathroom surfaces is unknown. Purpose: This study evaluated the efficacy and failure characteristics of two brands of suction cup handholds on six typical bathtub wall surfaces, under environmental and loading conditions associated with bathing. Method: Eighteen suction cup handholds underwent controlled longevity testing under wet and dry conditions in separate sessions. Handhold efficacy was evaluated through (a) visual inspection, (b) manual manipulation, and (c) controlled loading, with days to failure and other failure details as outcome measures. Findings: No handhold-wall sample combinations were effective over the 28 day test period, with at least one handhold on each wall sample failing on day one. Handhold failure was most frequently due to sliding along the wall surface, and occurred most frequently during manual manipulation testing. Conclusion: Handhold efficacy was poor in a controlled experimental environment. These results can inform clinicians of the risks suction cup handholds pose and assist in clinical recommendations against their use.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.012
GPT teacher head0.346
Teacher spread0.334 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Rehabilitation and Assistive Technologies EngineeringSame topicPressure Ulcer Prevention and ManagementFrench-language works237,207