A Communication Partner Training Program Delivered via Telehealth for People Living With Parkinson's (Better Conversations With Parkinson's): Protocol for a Feasibility Study
Notice bibliographique
Résumé
BACKGROUND: Parkinson's can impact people's speech, cognition, pragmatics, and language, significantly affecting their conversations with others. The speech and language therapy approach called communication partner training (CPT) is effective for a range of communication difficulties. However, speech and language therapy interventions for people with Parkinson's predominantly focus on impairments, with little provision of CPT for this population. Better Conversations is a CPT approach that involves working with a dyad (the person with the communication difficulty and a conversation partner [CP]) to build conversation skills. It is effective at reducing barriers to conversation, and for some, it significantly increases targeted facilitatory strategies. Some approaches to CPT have been adapted to be delivered via telehealth. This can maximize ecological validity and convenience. Furthermore, telehealth is widely accepted as a delivery method for other interventions for Parkinson's. This study presents the protocol for a pilot feasibility study of a Better Conversations CPT delivered via telehealth to people living with Parkinson's and their CPs, called Better Conversations with Parkinson's (BCP). OBJECTIVE: The primary aim is to evaluate the feasibility of the BCP program delivered via telehealth with a treatment group from a collaborating National Health Service (NHS) site to establish for a main trial whether BCP can be delivered as intended in an NHS setting. The aim is to establish: (1) the acceptability of the program for people living with Parkinson's, family members, and speech and language therapists (SLTs); (2) the feasibility of delivering the BCP program; (3) the recruitment and retention rates; (4) a sample size calculation; and (5) the most appropriate primary outcome measure. METHODS: Ethical approval for this study was obtained from London-Central Research Ethics Committee (reference: 22/LO/0332). This case-series feasibility pilot study will recruit 10-12 dyads to ensure 10 complete data sets. Participants will be recruited by a collaborating NHS site located in England. Participants will be involved for 16 weeks (weeks 1-2 preintervention measures, weeks 3-8 intervention, weeks 10-12 postintervention measures, week 16 follow-up interview). Quantitative and qualitative methods will be used to analyze the study data. Speech, communication, and quality of life assessment data will be analyzed statistically to determine a suitably sensitive outcome measure. Descriptive statistics will be used to report on recruitment, attendance, and attrition. Finally, acceptability and feasibility will be evaluated using participant feedback, interviews, and the reflective diary and feedback of the SLT administering the therapy (by the research assistant who is the first author). This data will be analyzed using descriptive statistics and reflexive thematic analysis. RESULTS: This study was approved for funding from Parkinson's UK. Study recruitment commenced in July 2022. The results of the data analysis are expected to be available by September 2024. CONCLUSIONS: Insights from this study will provide valuable information about the acceptability and feasibility of a remotely delivered Better Conversations CPT approach for people living with Parkinson's and their CPs. An outcome of this study will be a manualized BCP program coproduced by people living with Parkinson's, their families, and a group of expert SLTs. The study results will guide the next stages of intervention development. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/41416.
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 | 0,012 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».