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Record W4221166238 · doi:10.25270/wmp.2022.2.3441

Translation, Cross-Cultural Adaptation, and Validation of the Munro Scale in Italian

2022· article· en· W4221166238 on OpenAlexaff
Renato Bruno, Diego Bertolino, E. Garbarino, Cassendra A Munro, Michela Barisone, Alberto Dal Molin

Bibliographic record

VenueWound Management & Prevention · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsRegina General Hospital
Fundersnot available
KeywordsContent validityScale (ratio)Face validityCLARITYMedicineLikert scalePerioperativeRating scalePhysical therapyPsychologyApplied psychologyPsychometricsClinical psychologySurgeryDevelopmental psychologyCartographyGeography

Abstract

fetched live from OpenAlex

BACKGROUND: The Munro Pressure Ulcer Risk Assessment Scale for Perioperative Patients - Adult (Munro scale) is a pressure ulcer/injury risk assessment scale for adult surgical patients. It consists of 3 sections relating to the preoperative, intraoperative, and postoperative periods. It is not available in Italian. PURPOSE: The aim of this study was to translate the Munro scale into Italian and assess its cross-cultural content and face validity. METHODS: The translation and cross-cultural adaptation process adhered to World Health Organization guidelines including forward translation, expert review, and back translation. Health care professionals with a minimum of 5 years of experience working in the operating rooms of different hospitals in northern Italy were invited to participate in a content and face validation of the translated instrument. Content validity was evaluated by rating the relevance of each scale item using a 4-point Likert scale, ranging from 1 (not relevant) to 4 (very relevant). Face validity (comprehensibility and clarity) was also measured using a 4-point rating scale. RESULTS: Expert agreement of the translated instrument reached a Fleiss' kappa of 0.95. The content validity index was 0.91, and all items had a score ≥ 3 for clarity and comprehensibility. CONCLUSION: The Italian version of the Munro scale can be used safely to assess patient risk of injuries during the perioperative period in Italy. The translation and validation study results confirmed that the Italian version was consistent with the original version. Further testing, including prospective validation, is needed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.066
GPT teacher head0.396
Teacher spread0.331 · 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

Citations9
Published2022
Admission routes1
Has abstractyes

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