Motivation and paediatric interventions: Is it a predisposition, a mechanism for change, or an outcome?
Bibliographic record
Abstract
SIR–The recent article by Tatla et al.1 attests to the growing awareness of, and interest in, the role of motivation in the delivery of interventions for children with developmental disabilities such as cerebral palsy. In this article the authors undertook a systematic review to evaluate the impact of 'purportedly' motivational interventions on outcomes of children with cerebral palsy. For this purpose motivational rehabilitation intervention was defined as one that 'promotes the initiation and persistence of goal-directed motor behaviour'. As such, the focus was on the motivating or engaging effects of motor-based rehabilitation interventions. We commend the authors in this undertaking and wish to raise several challenges to be faced in further advancing this important line of enquiry. We were struck by the potential confusion about the construct under investigation and more importantly how it is conceptualized in the process of delivering interventions. At times, Tatla et al.1 appeared to be discussing children's achievement motivation as a trait, at other times motivation appeared to be an aspect of the intervention provided or the 'right level of challenge' (person-environment fit), and at other times motivation was considered an outcome. There are numerous theories about motivation and it is clearly important to articulate theories in order to advance research in this field. Our own work has drawn on Self-Determination Theory as a way of understanding the key mechanisms which can affect how effectively a child engages in therapy.2 In this conceptualization Autonomy (individual goal choice), Relatedness (connection with meaningful others) and Competence (belief in and ability to achieve goals) are presented as ways of understanding children's motivation to engage in therapy. Thus, motivation to engage is optimized by various elements of the therapeutic intervention, including providing choice, social interaction and support, and fostering self-confidence to achieve goals. Theory, therefore, provides direction concerning the key elements of a range of interventions that describe themselves as motivational. Various client-centred approaches and interest-based interventions include these basic motivational elements. We would suggest that motivation is not inherent in a specific activity but is a changing state that results from the interaction between an individual's interests, social environment, and nature of the activity involved. Hence there is probably no one size fits all description of an intervention as being motivational or engaging. Interestingly, eight of the nine interventions reported by Tatla et al.1 employed a virtual-reality-based product. Only one intervention was described as addressing skills within the context of a child's family environment which parents felt their child was motivated to improve. Our own research has provided evidence of the satisfaction of needs for autonomy, competence, and relatedness as key motivators for engagement with video games.3 This research was conducted with adults in a non-therapeutic setting so it would be necessary to determine if similar findings apply to children and whether satisfaction of these needs also improves motivation for engagement with therapeutic activities embedded in virtual environments. We have also reported on current limitations in the way motivation is measured for children with motor difficulties.4 Without psychometrically sound measures of motivation it is difficult to ascertain the extent of individual differences, aspects of individual strengths which may be better addressed by specific intervention strategies, or the extent to which motivational disposition can be modified over time. As with all things that are perceived to be important contributors to outcome, robust measurement is necessary. We have also begun to consider the nature of engagement in paediatric rehabilitation interventions (rather than motivation per se) drawing on preliminary work in mental health.5 Engagement can be considered to be a multifaceted state of affective, cognitive, and behavioral investment in the client role over the intervention process, rather than an intervention-specific state. The construct of engagement may be useful in understanding changes in motivational state over a single session and/or a series of sessions. We look forward to research which further describes interventions in light of a motivational rationale, addresses the measurement of motivation and engagement, includes a means of examining engagement in therapy over time, and looks at the interaction between intervention and level of engagement on therapeutic 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 | 0.016 | 0.075 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| 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".