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Enregistrement W4409623493 · doi:10.1111/1460-6984.70042

Translation and Validation of the TOR‐BSST Into Turkish for Stroke Patients

2025· article· en· W4409623493 sur OpenAlexaffabout
Serkan Bengisu, Özlem Öge‐Daşdöğen, Rosemary Martino

Notice bibliographique

RevueInternational Journal of Language & Communication Disorders · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiqueDysphagia Assessment and Management
Établissements canadiensToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésDysphagiaSwallowingTurkishStroke (engine)MedicineContext (archaeology)Gold standard (test)Physical therapySurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

PURPOSE: The most common cause of death in Turkey is attributed to vascular diseases, including stroke. Dysphagia stands out as one of the prevalent and life-threatening complications that often follow a stroke. Within the Turkish context, the availability of validated bedside screening tests for assessing dysphagia remains limited. The primary objective of this study was to undertake the translation of the TOR-BSST into Turkish and subsequently validate this newly translated Turkish version. METHOD: Once the translation of the TOR-BSST into Turkish was accomplished, 60 stroke patients were consecutively enroled in the validation process. The enroled patients were evaluated using the TOR-BSST-TR, administered by a speech and language pathologist (SLP) trained in TOR-BSST screener training. On the screening day, each patient underwent a videofluoroscopic swallowing study (VFSS), administered by another SLP blinded to the patient's medical information and TOR-BSST-TR results. The VFSS images were recorded for independent analysis by the second SLP who conducted the VFSS, and a third SLP, also blinded to the TOR-BSST-TR findings, using the Penetration Aspiration Scale (PAS) to measure airway invasion severity, and Dysphagia Severity Rating Scale (DSRS) to measure overall dysphagia severity. The reliability of the gold standard VFSS ratings was assessed using the intra-class correlation coefficient (ICC). The accuracy of the new TOR-BSST-TR was assessed using sensitivity, specificity, predictive values and likelihood ratios. RESULTS: Of all the 60 patients, 35 (58.3%) failed the TOR-BSST-TR, and 33 (55%) were identified with some degree of dysphagia from VFSS imaging scores. The overall inter-rater reliability (in ICC, 95% CI) for the gold standard ratings were as follows: PAS semi-solids (0.98, 0.95-0.99), PAS liquids (0.75, 0.58-0.85) and overall DSRS (0.70, 0.32-0.85). Based on the total screening score of the TOR-BSST-TR, the sensitivity, specificity, positive and negative predictive values along with positive likelihood ratio were as follows: 93.9%, 85.2%, 90.5%, 90.4% and 6.34, respectively. CONCLUSION: The TOR-BSST was successfully translated into Turkish, and the resulting TOR-BSST-TR demonstrated high accuracy in the acute stroke phase using videofluoroscopy as the gold standard. Specifically, the new TOR-BSST-TR screening tool yielded excellent sensitivity, specificity and predictive values in this patient population. The clinical implementation of this validated screening tool has the potential to enhance early detection of dysphagia, thereby triggering early management and ultimately improving patient outcomes and reducing the burden of complications from vascular diseases, such as stroke. Further research and widespread adoption of the TOR-BSST-TR could contribute to more standardized and effective dysphagia assessment protocols in clinical practice. WHAT THIS PAPER ADDS: What is already known on the subject Dysphagia, prevalent in over half of stroke survivors, poses severe complications, including aspiration pneumonia. While Turkey faces high stroke mortality, limited validated dysphagia screening tools exist. Recent cultural adaptation studies focus on tools like The Barnes-Jewish Hospital Stroke Dysphagia Screen, The Gugging Swallowing Screen Test and The Mann Assessment of Swallowing Ability. The Toronto Bedside Swallow Screening Test (TOR-BSST), a water-swallowing test for stroke patients, demonstrates accuracy. Adapting it to Turkish is crucial for effective bedside screening and managing dysphagia, offering significant benefits. This study translated TOR-BSST into Turkish, aiming to evaluate its validity and reliability in acute stroke patients, addressing a critical need in the Turkish stroke population. What this paper adds to the existing knowledge This study addresses the pressing issue of dysphagia, a life-threatening complication following strokes in Turkey, where validated bedside screening tests are limited. The research translates and validates the TOR-BSST into Turkish, involving 60 stroke patients. The TOR-BSST-TR form, administered by trained speech-language pathologists, demonstrated high sensitivity (93.9%) and good specificity (85.2%) in comparison to videofluoroscopy, the gold standard. Inter-rater reliability was satisfactory, showcasing the tool's effectiveness in identifying dysphagia. The study contributes valuable insights into dysphagia assessment, offering a reliable and culturally adapted screening tool for stroke patients in Turkey. What are the potential or actual clinical implications of this work? The clinical implications of this study are significant for stroke patients in Turkey facing dysphagia. The successful translation and validation of the TOR-BSST into Turkish offer healthcare professionals a culturally adapted and reliable bedside screening tool. This tool demonstrates high sensitivity and good specificity in identifying dysphagia, providing a valuable resource for early detection and effective management. The study's findings imply that the TOR-BSST-TR can be a practical and accurate instrument for clinicians, aiding in timely intervention, reducing complications and improving patient outcomes. Incorporating this tool into routine clinical practice may enhance dysphagia screening, leading to better patient care and quality of life.

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 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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,399
Score d'incertitude au seuil0,192

Scores Codex et Gemma par catégorie

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

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 Opus0,020
Tête enseignante GPT0,413
Écart entre enseignants0,392 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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