Goal Setting in Speech–Language Pathology: A Pilot Test of a ‘One‐Size‐Fits‐All’ Planning Framework
Notice bibliographique
Résumé
BACKGROUND: Developing treatment goals and hierarchies is fundamental to effective intervention. Despite this, interventions are often vaguely or ambiguously described, negatively impacting outcome measurement, client engagement, and team communication. THIMS (Target, Hierarchy, Ingredients, Measures, Success Criterion) is a novel intervention planning framework that aims to improve the specificity and measurability of treatment goals and hierarchies in speech-language pathology (SLP). AIM: The objective of this pilot study was to determine if clinician training in the use of the THIMS Framework was feasible and effective at improving the specificity and measurability of SLP treatment goals and hierarchies. METHODS: We completed a within-group pre-post pilot study to determine the impact of training speech-language pathologists (SLPs) to use the THIMS Framework. We evaluated participant recruitment, task completion, and attrition, as well as the specificity and measurability of SLP goals and hierarchies submitted before and after training. RESULTS: Twenty-three SLPs completed the study, with participants representing a broad range of years of experience and clinical practice areas. Results showed feasible recruitment and retention and significantly higher scores for treatment goals and hierarchies after completing THIMS training sessions. CONCLUSION: Training in the use of the THIMS Framework was feasible for a small sample size and resulted in increased specificity and measurability of SLP treatment goals and hierarchies. This 'one-size-fits-all' framework has the potential to fill the current gap for a systematic but flexible goal and hierarchy writing system for SLPs. WHAT THIS PAPER ADDS: What is already known on this subject For many years, the importance of specificity in goal writing and intervention planning has been highlighted as critical for ensuring client engagement, objective outcome measurement, and effective team communication. Despite this, studies continue to reveal a disconnect between clinicians acknowledging the importance of precision in goal formulation and actually applying the required level of specificity in their own treatment plans. What this paper adds to existing knowledge This pilot study describes the evaluation of a novel intervention planning framework that was designed to ensure specificity and measurability of goals and treatment hierarchies. The framework draws on elements of SMART goals and the Rehabilitation Treatment Specification System to provide clinicians with a stepwise process to plan interventions for a wide range of goal areas and populations. What are the potential or actual clinical implications of this work? To our knowledge, THIMS (now TACSI) is the only framework that provides explicit guidance on how to write specific and measurable SLP treatment goals and hierarchies that apply to any client population in any practice setting. The present study provides initial evidence that this framework has the potential to become a 'one-size-fits-all' SLP intervention planning system.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».