Exploration of pediatric manual wheelchair confidence among children, parents, and occupational therapists: a qualitative study
Bibliographic record
Abstract
PURPOSE: Manual wheelchair (MWC) confidence is a predictor of adult life-space mobility and social participation. To date, scientific literature specific to pediatric MWC confidence is scarce which prevents in-depth understanding. The objective of this study was to explore the perceptions of pediatric MWC users (PMWU), parents, and occupational therapists regarding pediatric MWC confidence. METHODS: = 2). Inductive thematic analysis was performed following verbatim transcription of audio recorded material. RESULTS: Three overarching themes were identified across PMWUs, parents, and occupational therapists: (1) "MWC confidence is not a clinical priority" depicted the construct's varying level of clinical priority and perceived abstractness; (2) "MWC confidence is both a child and parent consideration" revealed nuances between the PMWU's MWC confidence and the parents' perception of the PMWU's MWC confidence; and (3) "Opportunities to develop MWC confidence are context-specific" contrasted afforded and unafforded opportunities to experience independent MWC mobility. CONCLUSIONS: Pediatric MWC confidence is an important aspect of wheelchair use that is shaped by a multitude of factors in PMWU's lives. This new area of pediatric study provides support for the need to measure this important construct.IMPLICATIONS FOR REHABILITATIONThis study is the first to explore children's, parents', and occupational therapists' perceptions of pediatric MWC confidence.Pediatric MWC confidence impacts MWC use in a multifaceted fashion.Future studies should consider the development and validation of a self-report measure to assess pediatric MWC confidence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".