Point of Care Ultrasonography in Physiotherapy Research and Practice
Notice bibliographique
Résumé
Point of care ultrasonography (POCUS) is a non-ionizing imaging modality that is performed and interpreted by a primary health care professional in combination with a physical examination in a clinical setting. POCUS can provide time sensitive clinical information to assist in diagnosis of pathology and to monitor response to treatment. POCUS is emerging in physiotherapy clinical practice, education, and research. This dissertation explores physiotherapist performed POCUS and consists of two scoping reviews and an inter-professional agreement study. The first scoping review systematically mapped the research literature to describe the breadth and depth of physiotherapists performed POCUS. Two hundred and nine studies were included, and the majority of the included studies were measurement studies that assessed the psychometric properties of POCUS in adult patients, were published in the United States of America, and imaged the abdominal lumbo-pelvic region. POCUS was found to be a recent application of sonography in physiotherapy practice. This review identified a wide variety of practice settings and a diverse number of patient conditions in which physiotherapists are performing POCUS. This breadth and depth of this review highlighted the need for improved reporting of study methodology and key areas of future research in physiotherapist performed POCUS. The second scoping review explored physiotherapy pre- and post-licensure curricula and pedagogical approaches for POCUS. Fifteen studies were identified. These showed that progress in the development of physiotherapy-specific, competency based, standardized education curricula and pedagogical approaches for POCUS has been limited. There was considerable variability both pre- and post licensure and further research is needed to assess the outcomes of different pedagogical approaches on theoretical knowledge and practical scanning competence. There is a need for internationally accepted terminology for physiotherapist performed POCUS and clear guidelines from local regulatory colleges and licensing bodies. The third study was an inter-professional agreement pilot study between a physiotherapist and a sonographer for the assessment of acute hemarthrosis in 13 patients with hemophilia using POCUS. In this study, the physiotherapist participated in the McMaster University Mohawk College POCUS Training Program for Acute Hemarthrosis and Synovitis. The results indicated a high level of agreement between the physiotherapist and the sonographer performed POCUS for the binary decision on the presence or absence of blood within the joint. The physiotherapist-acquired images demonstrated quality comparable to an expert sonographer. This study provides support that following a short formal training program, a trained physiotherapist can become proficient in the acquisition and interpretation of POCUS images for the assessment of hemarthrosis in patients with hemophilia.
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 | 0,087 | 0,286 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,013 | 0,016 |
| Études des sciences et des technologies | 0,003 | 0,010 |
| Communication savante | 0,015 | 0,012 |
| Science ouverte | 0,003 | 0,009 |
| Intégrité de la recherche | 0,007 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,003 |
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 ».