Measurement Practices in Pediatric Rehabilitation
Notice bibliographique
Résumé
AbstractWe investigated measurement practices in pediatric rehabilitation. We conducted a survey of 63 physical, 72 occupational, and 74 speech-language therapists working in one of 16 children's rehabilitation programs in Ontario, Canada. Therapists were surveyed about their measurement practices, and their confidence, beliefs, and attitudes about measurement. Results showed that standardized clinical measures were used frequently, but were often modified. Clinicians rated themselves as least comfortable with statistical concepts related to the uncertainty in test scores, and rated factors related to finding appropriate measures as the most important influences on their measurement practices. Some variance in measurement attitudes and practices was associated with treatment centre of practice, suggesting that there may be organizational or peer influences on measurement behaviour. The results have implications for continuing education, measurement development, and interventions designed to facilitate sound measurement practices.Key Words: Childhood disabilitymeasurementphysical therapyoccupational therapyspeech-language pathologysurvey research Additional informationNotes on contributorsDianne J. RussellMichael Lepp, PT, is in private practice, Associate Instructor of the Upledger Institute, and Clinical Instructor, Case Western Reserve University School of Dentistry, Cleveland, OH.Marie McKenzie, MS, OTR, is in private practice. She was Coordinator of Occupational Therapy at Scottish Rite Hospital at the time of this study.Heather Miller, MS, OTR/L, is currently employed by Madison County Educational Service Center, providing therapy services to the county's pre-schools. This research was completed in partial fulfillment of the requirements of an MS degree at Ohio State University.Linda Viscardis, BA, is Team Leader and Community Development Worker, Peterborough Family Enrichment Centre. She is Co-Founder of P.R.O.S.P.E.C.T.S., a support and advocacy group for families who have children with special needs.Debra Stewart, BSc, OT(C), is Occupational Therapist, Erinoak, Serving Young People with Physical Disabilities, Mississauga, ON, and Clinical Lecturer, School of Rehabilitation Science, McMaster University.Janette McDougall, MA, was Project CoordinatorKip Husted, BEd, was a parent representative on the study team.Aviva Yochman, MA, OTR, was a student in the School of Occupational Therapy, Faculty of Medicine, The Hebrew University of Jerusalem, Israel at the time of this study.Imelda Burgman, MA OTR/L BCP, completed her MA in Movement Sciences at Teachers College, Columbia University, and was an Occupational Therapist at The Shield Institute, Bronx, NY. She is currently Lecturer, Habilitation, School of Community Health, Faculty of Health Studies, Charles Sturt University, Albury, N.S.W., Australia.Barbara J. Steva, OTWL, BCP, is Occupational Therapist, University of New England Community Occupational Therapy Clinic, Saco, ME. She was Director of Occupational Therapy and Therapeutic Recreation, Franciscan Children's Hospital and Rehabilitation Center, Boston, MA, when this work was completed.Mary-Ann L. Fulks, MSc, OT(C), is Occupational Therapist, Vancouver Community Mental Health Service and Clinical Assistant Professor, School of Rehabilitation Sciences, University of British Columbia. This study was completed in partial fulfillment of a Master of Science degree.Laura Zawacki, MS, PT, PCS, currently practices Pediatric Physical Therapy in the Chicago metropolitan area.Judy T. Jennings holds a Certificate in PT and an MA in Special Education and has 25 years of experience as a PT working with children from infancy to high school.Barbara G. Sarbaugh, BS and MA in OT, has worked with children for 20 years and is on the faculty, occupational therapy program at Xavier University, Cincinnati, OH.Nicholas S. Payne, PhD, recently retired from 40 years of experience in statistics and data analysis at Proctor & Gamble, Cincinnati, OH. He was recently Research Fellow in Data Analysis, clarifying the needs of mothers and babies.At the time of this study, Marianne Kratochvil, MA, was a social worker at the Glenrose Rehabilitation Hospital, Edmonton, Alberta. She has since retired.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».