MétaCan
Menu
Back to cohort
Record W2735608363 · doi:10.1016/j.aott.2017.05.003

Do hand outcome measures reflect cultural influences?

2017· article· en· W2735608363 on OpenAlexaboutno aff
Çiğdem Öksüz, Burcu Semin Akel, Orkun Tahir Aran, İlkem Ceren Sığırtmaç, A. Gürsel Leblebicioğlu

Bibliographic record

VenueActa Orthopaedica et Traumatologica Turcica · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsDashTurkishMedicinePhysical therapyTurkish populationPopulationPsychologyEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to compare the activities listed in DASH, MHQ, QuickDASH with the activities listed in Canadian Occupational Performance Measure (COPM) in a Turkish patient population with hand injury. METHODS: COPM questionnaire was administered to 163 participants (61 male and 102 female; mean age 40.72 ± 13.70 years). The activities that were stated in COPM were categorized and checked whether they were present in DASH-T, MHQ, QuickDASH. RESULTS: The highest rated stated activities were "carrying a heavy object" (39.2%), "cleaning the house" (25.7%) and "writing" (15.9%). DASH reflects 30% whereas MHQ and QuickDASH reflect 16.32% and 10.2% of the problematic activities, respectively. CONCLUSION: None of three questionnaires have satisfactory results for reflecting the problematic activities among hand injured Turkish people. Open ended interviews should be irrevocable part of assessment process in order to describe a person-center treatment program.

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)0.023
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.079
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.356
GPT teacher head0.556
Teacher spread0.200 · 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 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

Citations5
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueActa Orthopaedica et Traumatologica TurcicaSame topicOccupational Therapy Practice and ResearchFrench-language works237,207