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Record W2043076281 · doi:10.1097/bcr.0b013e3181b47cc2

Burn Therapists’ Opinion on the Application and Essential Characteristics of a Burn Scar Outcome Measure

2009· article· en· W2043076281 on OpenAlexaffabout
Lisa Forbes-Duchart, J. E. Cooper, Bernadette Nedelec, Lonny Ross, Arthur O. Quanbury

Bibliographic record

VenueJournal of Burn Care & Research · 2009
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsUniversity of ManitobaMcGill UniversityHealth Sciences Centre
Fundersnot available
KeywordsMedicineMeasure (data warehouse)Burn injuryExpert opinionIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Comprehensive burn rehabilitation requires the use of an appropriate burn scar outcome measure (BSOM). The literature reports many BSOMs; however, an objective, practical, inexpensive, valid, reliable, and responsive instrument eludes us. A problem in the development of such a measure is disagreement in which scar properties to include. The objective of this study was to determine the burn scar variables that therapists believe should be included in a BSOM. An Internet survey was administered to burn occupational and physical therapists. The response rate was 38.6% (105 surveys). Of the respondents, 38.1% use a BSOM; of those, 75% use the Vancouver Scar Scale. Reasons why respondents do not use a BSOM (61.9%) are because they are not familiar with available measures, have not found one that is clinically practical, or need more training. The majority (95%) believes that using a BSOM is important, and the following BSOM characteristics were reported as important: reliable, valid, quick, easy, and noninvasive. Respondents indicated that the following properties should be included in a BSOM: pliability (96.2%), vascularity (92.4%), height (87.6%), appearance (75.2%), skin breakdown (74.3%), itch (73.3%), surface texture (70.5%), pigmentation (68.6%), and pain (67.6%). This study suggests that using a BSOM is important despite its inconsistent use, and BSOM education may be valuable. The top three agreed-upon properties for inclusion are already incorporated into the most commonly used BSOM-the Vancouver Scar Scale-suggesting that modifications may be reasonable.

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 score0.747
Threshold uncertainty score0.398

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.076
GPT teacher head0.423
Teacher spread0.347 · 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

Citations44
Published2009
Admission routes2
Has abstractyes

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