Motivation and paediatric interventions: Is it a predisposition, a mechanism for change, or an outcome?
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,075 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».