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Record W2315222596 · doi:10.1016/j.pmrj.2012.09.959

Poster 347 Hand Hygiene in the Rehabilitation Inpatient: Our Staff's Role

2012· article· en· W2315222596 on OpenAlexaff
Sathish Rajasekaran

Bibliographic record

VenuePM&R · 2012
Typearticle
Languageen
FieldHealth Professions
TopicMedical Practices and Rehabilitation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCitationRehabilitationHygieneMedicinePsychologyLibrary sciencePhysical therapyComputer sciencePathology

Abstract

fetched live from OpenAlex

S. Rajasekaran, No Disclosures. To assess what interventions would improve hand hygiene in rehabilitation inpatients. Prospective, unblinded, controlled study. Inpatient rehabilitation unit lunchroom. Inpatients on a Rehabilitation Ward (stroke, spunal cord injury and brain injury). Patients were observed during lunchtime. In week 1, no inteventions were used (preexisting gel dispenser at both entrances). In week 2, gel dispensers were placed on lunch tables. In week 3, sign posts were also placed on lunch tables. In week 4, staff also cued the patients prior to handing them lunch trays. Frequency of gel dispenser use prior to meals. In week 1, 0% (0/18) patients cleansed their hands. In the ensuing weeks, the rates were as follows: week 2, 5% (1/22); week 3, 0% (0/22); week 4, 94% (17/18). We assumed hand-cleansing observations were independent after each intervention and used the Fisher's exact test to show a significant difference (P<.001) in the proportion of patients who washed their hands in week 4. Accessibility and visual cuing were not effective on their own or in combination, but when staff cuing was also added patient compliance with hand hygiene significantly improved. All patients on our rehabilitation ward are now cued to wash their hands prior to receiving their lunch trays (gel dispensers on all tables).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.130
Threshold uncertainty score0.435

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1300.019

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 head0.044
GPT teacher head0.425
Teacher spread0.381 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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