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Enregistrement W3014986276 · doi:10.1177/2396941520913482

Lessons learned in practice-based research: Studying language interventions for young children in the real world

2020· article· en· W3014986276 sur OpenAlex

Pourquoi ce travail est dans la base

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affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueAutism & Developmental Language Impairments · 2020
Typearticle
Langueen
DomainePsychology
ThématiqueLanguage Development and Disorders
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionAttendanceIntervention (counseling)Focus groupMedical educationMedicineClinical PracticePsychologyFamily medicineNursingPolitical science

Résumé

récupéré en direct d'OpenAlex

Background and aims Practice-based research holds potential as a promising solution to closing the research-practice gap, because it addresses research questions based on problems that arise in clinical practice and tests whether systems and interventions are effective and sustainable in a clinical setting. One type of practice-based research involves capturing practice by collecting evidence within clinical settings to evaluate the effectiveness of current practices. Here, we describe our collaboration between researchers and clinicians that sought to answer clinician-driven questions about community-based language interventions for young children (Are our interventions effective? What predicts response to our interventions?) and to address questions about the characteristics, strengths, and challenges of engaging in practice-based research. Methods We performed a retrospective chart review of 59 young children who had participated in three group language interventions at one publicly funded community clinic between 2012 and 2017. Change on the Focus on the Outcomes of Communication Under Six (FOCUS), a government mandated communicative participation measure, was extracted as the main outcome measure. Potential predictors of growth during intervention were also extracted from the charts, including type of intervention received, attendance, age at the start of intervention, functional communication ability pre-intervention, and time between pre- and post-intervention FOCUS scores. Results Overall, 49% of children demonstrated meaningful clinical change on the FOCUS after their participation in the language groups. Only 3% of participants showed possibly meaningful clinical change, while the remaining 46% of participants demonstrated not likely meaningful clinical change. There were no significant predictors of communicative participation growth during intervention. Conclusions Using a practice-based research approach aimed at capturing current practice, we were able to answer questions about the effectiveness of interventions delivered in real-world settings and learn about factors that do not appear to influence growth during these interventions. We also learned about benefits associated with engaging in practice-based research, including high clinical motivation, high external validity, and minimal time/cost investment. Challenges identified were helpful in informing our future efforts to examine other possible predictors through development of a new, clinically feasible checklist, and to pursue methods for improving collection of outcome data in the clinical setting. Implications: Clinicians and researchers can successfully collaborate to answer clinically informed research questions while considering realistic clinical practice and using research-informed methods and principles. Practice-based research partnerships between researchers and clinicians are both valuable and feasible.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,461
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,196
Tête enseignante GPT0,460
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle