Diversity of practices in telerehabilitation for children with disabilities and effective intervention characteristics: results from a systematic review
Bibliographic record
Abstract
Purpose: To describe the characteristics and effectiveness of pediatric telerehabilitation interventions offered to children 0–12 years old or to their families.Methods: A systematic review was conducted on randomized control trials published between 2007 and 2018 involving at least one rehabilitation professional who provided services remotely. Information was extracted about key study, participants and intervention characteristics. The percentage of outcomes that improved were computed per study, and per intervention characteristic.Results: Out of 4472 screened articles, 23 were included. Most studies were published after 2016 and evaluated outcomes related to the child’s behavior (n = 12, 52.2%) or to the parent (n = 10, 43.5%), such as parental skills or stress. Overall, 56.1% (SD: 38.5%) of evaluated outcomes improved following telerehabilitation. A great diversity of population and teleintervention characteristics was observed. Effective interventions tended to target parents, centered around an exercise program, used a coaching approach, focused on improving children’s behavioral functioning, lasted >8 weeks and were offered at least once a week.Conclusions: Intervention characteristics that appear to yield better outcomes should inform the development of future telerehabilitation studies, especially in populations for whom telerehabilitation is currently understudied (e.g., children’s with physical functioning difficulties). Future trials should compare telerehabilitation interventions to well-described evidence-based face-to-face interventions, and document their cost-effectiveness.Implications for RehabilitationDespite a great variety in practices, telerehabilitation might be as effective as face-to-face interventions, across disciplines, for a variety of clinical outcomes.Telerehabilitation might be more effective when coaching approaches are used, especially to achieve outcomes related to children’s behavior or parental skills.Further research is required to better understand the characteristics of effective telerehabilitation interventions, and to determine how these characteristics may differ for specific populations and outcomes.
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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 | 0.025 | 0.123 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.013 |
| Bibliometrics | 0.016 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| 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".