Evidence-Based Practice for Cognitive-Communication Disorders after Traumatic Brain Injury
Notice bibliographique
Résumé
As clinicians, we sincerely believe that our intervention improves the lives of those we serve. In the case of neurogenic communication disorders, however, this belief is not always supported by data. The disability rights movement in the 1980s led us to consider client outcomes beyond clinical settings, and we had little measurable evidence that our intervention made a meaningful difference in these contexts. Reimbursement limitations further forced us to scrutinize our practice for evidence of both efficacy (a significant benefit demonstrated in a clinical trial) and effectiveness (benefit to an individual in clinical practice). At the same time, there was a movement toward evidence-based practice in medicine, led in part by the Evidence-Based Medicine Working Group at McMaster University in Ontario, Canada. Thus, we joined a community of health care practitioners engaged in the process of creating evidence-based guidelines for intervention. The Academy of Neurologic Communication Disorders and Sciences (ANCDS) has been working since 1997 to develop evidence-based practice guidelines specifically for acquired neurogenic communication disorders. LeeAnn Golper summarized the goals of the project in the initial publication of the guidelines group, stating that “The goal of this project is to improve the quality of services of individuals with neurologic communication disorders by assisting clinicians in decision-making about the management of specific populations through ‘guidelines’ based on research evidence”.[ 1 ] Additional support for the ANCDS evidence-based practice project has come from the American Speech-Language-Hearing Association (ASHA), Division 2, Neurophysiology and Neurogenic Speech and Language Disorders, and the Department of Veterans Affairs. The ANCDS guidelines project has proved to be a Herculean task. It has required the efforts of several teams of individuals, including students who have participated in collecting and summarizing data as well as colleagues who have provided peer reviews of numerous documents. Evidence reviews are published or under way in the areas of dysarthria, dementia, aphasia, childhood apraxia of speech, and, as in the clinical focus articles included in this issue, cognitive-communication disorders associated with traumatic brain injury (TBI) . There are two excellent sources of updated information about the guidelines project: the ANCDS Web site (www.ancds.org) and the regular ANCDS column included in the ASHA Division 2 quarterly Perspectives publication. Readers are referred to these for more comprehensive information about the project and its products. The cognitive-communication disorders writing group chose to present results in several formats, in accordance with deficits typically encountered by persons with TBI.[ 2 ] Thus, we took a modular approach to reviewing the literature and current practice for the following areas: intervention for attention disorders,[ 3 ] standardized assessment,[ 4 ] nonstandardized assessment, the use of external memory aids, intervention for deficits of executive function and metacognition, intervention for social and behavioral disorders, and intervention that includes direct instruction. To reach the widest readership, several formats have been used, including technical reports, posted on the ANCDS Web site; comprehensive guidelines papers, some of which have been published in the Journal of Medical Speech-Language Pathology with others forthcoming; and a series of “clinical focus” articles, several of which are presented in this special issue. In the first article, Turkstra, Coelho, and Ylvisaker review standardized, norm-referenced tests that are currently used by clinicians to evaluate language and cognitive-communication disorders. Coelho, Ylvisaker, and Turkstra then discuss the evidence related to the use of nonstandardized approaches to assessment, particularly for outcomes at the level of communication activities and participation as a preview to the technical report and recommendations Kennedy and Coelho focused their review on the evidence for the use of self-regulation in intervention for memory and problem solving, which is part of a broader review of intervention for disorders of executive function and metacognition. In the next article, Ylvisaker, Turkstra, and Coelho discuss intervention for social and behavioral problems affecting communication. The final article, by Sohlberg, Ehlhardt, and Kennedy, discusses the use of direct instruction as a strategy for changing behavior. Anyone who has ever tried to evaluate the “evidence” and make clinical recommendations realizes immediately that it is a dynamic process that can change from year to year. One year there may be limited evidence that only suggests that an intervention is efficacious, but in subsequent years the evidence may be mounting. The need for more evidence is obvious. Regardless of what the evidence suggests, each clinician must ultimately make decisions about the best intervention for each client, and to do that, clinicians must balance the evidence with the client's own goals, needs, and values. As the Evidence-Based Medicine Working Group[ 5 ] noted, there is no substitute for clinical judgment in choosing the most appropriate assessment and intervention for an individual client.
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 | 0,237 | 0,534 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,014 | 0,007 |
| Études des sciences et des technologies | 0,003 | 0,006 |
| Communication savante | 0,008 | 0,006 |
| Science ouverte | 0,009 | 0,008 |
| Intégrité de la recherche | 0,012 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,002 |
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 ».