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Record W2552243721

Evaluating the Trezzo range of static foam surfaces: results of a comparative study

2016· article· en· W2552243721 on OpenAlexaff
Karen Ousey, John Stephenson, Leigh Fleming

Bibliographic record

VenueHuddersfield Research Portal (University of Huddersfield) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineNursing staffNursing carePhysical therapyNursing
DOInot available

Abstract

fetched live from OpenAlex

This paper presents analysis from a 6-week prospective product evaluation of the Trezzo range of mattresses, compared to standard foam mattresses, in use on two clinical areas within Pennine Acute NHS Trust. Data were collected via distribution of three questionnaires. A patient experience questionnaire was completed by patients after using their mattress. This questionnaire elicited responses relating to patient comfort, temperature and sleep quality while using the mattress (and cushion if appropriate). The Trezzo mattress was found to be comparable to the standard NHS mattress in these domains. A staff clinical evaluation (patient) questionnaire was completed by nursing staff on behalf of patients in their care at patient admission and discharge. This questionnaire elicited responses relating to patient skin condition, and incidences of pressure ulceration. The Trezzo mattress was found to be comparable to the standard NHS mattress with respect to changes in patient skin condition during hospital stay. A second staff clinical evaluation (mattress) questionnaire was completed by nursing staff, in which the Trezzo mattress was compared against standard mattresses in the domains of aesthetics, ease of use, ergonomics and temperature control; patient moving and handling and mattress stability; and cleaning and sodium hypochlorite use. The Trezzo mattress scored substantively higher than the standard mattress on all of these domains; with differences being statistically significant in all cases.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0910.000

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 head0.482
GPT teacher head0.553
Teacher spread0.070 · 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.

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

Citations3
Published2016
Admission routes1
Has abstractyes

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