MétaCan
Menu
Back to cohort
Record W2966735901 · doi:10.1177/0309364619866611

Orthosis Comfort Score

2019· article· en· W2966735901 on OpenAlexaff
Katrina G DeZeeuw, Nancy Dudek

Bibliographic record

VenueProsthetics and Orthotics International · 2019
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsPhysical therapyPatient satisfactionReliability (semiconductor)Observational studyPhysical medicine and rehabilitationMedicinePsychologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Comfort of an orthosis is an important characteristic that is likely to dictate use of and satisfaction with a device. However, instruments to assess only orthosis user comfort do not exist. The Prosthetic Socket Fit Comfort Score, developed previously for prosthesis users, may be adapted to serve this purpose. OBJECTIVES: This study's purpose was to assess the validity and reliability of the Orthosis Comfort Score, a self-report instrument adapted from the Prosthetic Socket Fit Comfort Score. STUDY DESIGN: This is a prospective, observational study designed to establish initial evidence of validity and reliability for an outcome measure that assesses comfort. METHODS: Ankle foot orthosis users completed the Orthosis Comfort Score and two validated patient satisfaction questionnaires. An orthotist documented an assessment of fit. Post-visit Orthosis Comfort Scores were documented after the appointment and 2-4 weeks later. Orthosis Comfort Scores were compared to the patient satisfaction questionnaires, assessment of fit and orthosis use (hours per week). RESULTS: < 0.05). CONCLUSION: This study demonstrates initial evidence for the validity and reliability of the Orthosis Comfort Score in ankle foot orthosis users. CLINICAL RELEVANCE: The Orthosis Comfort Score is a simple patient-reported outcome measure that can be readily incorporated into clinical practice or research study to obtain a rapid assessment of comfort. It can be used to facilitate communication about device fit, evaluate comfort over time and/or assess changes in comfort with a new device.

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)0.000
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 score0.615
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.004
GPT teacher head0.183
Teacher spread0.178 · 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

Citations10
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueProsthetics and Orthotics InternationalSame topicProsthetics and Rehabilitation RoboticsFrench-language works237,207