Outcome Measures for Wheelchair and Seating Provision: A Critical Appraisal
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it