Clinical tools that measure sitting posture, seated postural control or functional abilities in children with motor impairments: a systematic review
Bibliographic record
Abstract
OBJECTIVE: To identify and critically appraise clinical measurement tools used to assess sitting posture, seated postural control or functional abilities for children with motor impairment who are candidates for seating interventions. DATA SOURCES: Searches were run in 15 electronic databases along with hand searching. The search included articles published in English to December 2011. REVIEW METHODS: Key terms included: posture, sitting, sitting posture, seated posture, seated postural control, sitting position, seating, wheelchair(s), outcome and assess(ment). The PRISMA statement was followed with inclusion criteria set a priori. Two reviewers independently screened titles, reviewed abstracts and identified full-text articles that met criteria. Data extraction included tool description and clinical utility. Two quality-rating scales were used to evaluate conduct of the studies and psychometric properties of the tools. RESULTS: Of the 497 titles found in the search, 29 full-text articles met the inclusion criteria and 19 tools were identified. Tools represented all components of the International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY), with emphasis on body structure and function and activity components. Evidence supporting reliability and validity varied, with small sample sizes influencing quality ratings. Evidence of the tools' reliability was more prevalent than evidence of the tools' validity. Only four tools reported on responsiveness, an important consideration for evaluating change. Little information on clinical utility was provided. CONCLUSION: Although a number of tools are available, evidence supporting their use for seating interventions is limited, as is the evidence supporting the strength of their measurement properties. Few tools address participation, environmental factors or the child's and family's perspective.
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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 | 0.016 | 0.080 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.007 |
| Bibliometrics | 0.016 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".