Environmental factors associated with participation and its related concepts among children and youth with cerebral palsy: a rapid review
Bibliographic record
Abstract
PURPOSE: To provide an overview of environmental factors associated with participation and participation-related constructs in children and youth with cerebral palsy (CP). METHODS: A rapid review following the principles from scoping methodology was performed with a literature search in September 2019. The CINAHL, Embase, Ovid MEDLINE and PsychINFO databases were searched to identify original articles which addressed participation in children and youth (aged 0-18) with CP. RESULTS: In total, 9511 unique articles were identified, of which 34 met all inclusion criteria. Many different measures for environmental factors were used. Most common environmental factors associated with participation (i.e., attendance and involvement) were family ecology, type of school, and parental stress. Regarding participation-related constructs (activity competence, sense of self and preferences), most common factors were parental stress and the physical environment. CONCLUSIONS: While environmental factors are found to be associated with participation attendance and activity competence in children with CP, there is a lack of research of environmental factors in relation to both participation involvement and other participation-related constructs. To increase impact in clinical practice, future research should involve structured assessments of the environment and focus more on modifiable factors, to help service providers develop treatment paradigms needed for meaningful participation outcomes.IMPLICATIONS FOR REHABILITATIONFamily ecology, type of school, and parental stress were the most common factors associated with participation.Future research should focus on modifiable factors associated with participation outcomes.Modifiable environmental factors associated with participation included parental stress, family activity and type of school.In clinical practice, environmental factors are to be assessed in a more systematic way in relation to current or future participation restrictions.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".