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Outcome Measures for Wheelchair and Seating Provision: A Critical Appraisal

2014· article· en· W2051266304 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
Fundersnot available
KeywordsWheelchairCritical appraisalOutcome (game theory)PsychosocialContext (archaeology)PsychologyApplied psychologyService (business)Service delivery frameworkMEDLINEQuality of life (healthcare)Measure (data warehouse)Process managementComputer scienceMedicineNursingBusinessPsychiatryWorld Wide WebMarketingAlternative medicine

Abstract

fetched live from OpenAlex

Introduction: Every aspect of the wheelchair and seating provision process has an impact on overall outcomes for service users. This critical appraisal sought to identify outcome measures suitable for evaluation of wheelchair and seating provision, considering activity, participation, and impact of the service delivery on quality of life. Method: Outcome measures were identified using databases: Medline, CINHAL, PsychInfo, and Google Scholar. An evaluation was conducted to establish those that were particularly useful and a critical appraisal was completed. Findings: Five outcome measures identified as relevant for critical appraisal included: Wheelchair Outcome Measure; Functioning Every day in a Wheelchair; Goal Attainment Scale; Psychosocial Impact of Assistive Devices Scales; and the Quebec User Evaluation of Satisfaction with Assistive Technology. The strengths and limitations of each were identified. Conclusion: No single outcome measure captures all necessary information; trade-offs are inevitable. When choosing an outcome measure, the specific goals of the service evaluation and the resources available need to be considered within context. Critical appraisal of five outcome measures deemed appropriate for the evaluation highlighted some areas for consideration to inform decision making. A move towards sustainability indicators is suggested to monitor, measure, and respond to the provision processes and outcomes required to meet this primary need.

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.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.333
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
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 integrity0.0000.001
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 head0.230
GPT teacher head0.537
Teacher spread0.307 · 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