Co-constructing engagement in pediatric rehabilitation: a multiple case study approach
Bibliographic record
Abstract
Purpose To explore engagement principles and contextual conditions in high-engagement therapy sessions involving youth with disabilities and service providers.Method From a larger project on therapy engagement, a dyadic case analysis was conducted involving three youth ages 8–15 with disabilities and their service providers. Participants were interviewed about their engagement experiences after high-engagement sessions focusing on speech articulation, transition goals, and physical mobility. Data were analyzed thematically, with an emphasis on engagement principles illustrated by the cases.Results There were four service provider engagement principles: (a) clients differ in what engages them and in how they display engagement (Individual Variation Principle), (b) there are multiple ways to engage clients (Personalizing Principle), (c) engagement is cultivated through relationship (Relationship Principle), and (d) it is important to monitor and be attuned to the client’s level of engagement over a session (Monitoring Principle). Service providers’ use of engagement strategies varied due to contextual conditions, including therapy type and youths’ interests and preferences.Conclusions The findings indicate the value of providers’ awareness of the dynamics of engagement, their use of personalized strategies to engage clients, and the fundamental importance of cultivating a good relationship and monitoring client engagement during therapy.IMPLICATIONS FOR REHABILITATIONService providers may benefit from being aware of common principles underlying the co-construction of engagement between service providers and clients.Service providers can use a variety of personalized strategies to heighten client engagement, and can work to cultivate a positive relationship.It is important to monitor clients’ non-verbal and verbal signs of engagement and respond to signs of disengagement during therapy.Contextual conditions affecting service providers’ use of engagement strategies include the nature of the therapy being provided and youths’ interests and preferences.
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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 | 0.021 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| 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".