An Office-Based Instrument for Exercise Counseling and Prescription in Primary Care: The Step Test Exercise Prescription (STEP)
Notice bibliographique
Résumé
BACKGROUND: Available evidence suggests that despite physicians' positive attitudes toward exercise as an important part of promoting a healthy lifestyle, few physicians actually prescribe exercise for their patients. One barrier may be lack of a standard office instrument. OBJECTIVES: To determine the (1) exercise counseling habits among a large group of Canadian family physicians and (2) acceptance and utilization of an exercise counseling instrument geared to primary care practice. DESIGN: Randomized control trial. SETTING: Primary care practice. PARTICIPANTS: Family physicians (N = 400) from 3 regions of Canada, representing both rural and urban practice (ratio of 1:3). Patients (10 per practice) were healthy community dwellers older than 65 years obtained as a convenience sample in their family practice. INTERVENTIONS: In phase 1, 400 physicians listed as being in general or family practice by their provincial registries were randomly selected from a larger group listed by these registries and contacted by telephone. A total of 362 completed a 10-minute questionnaire that detailed practice demographics, preventive practice, and exercise counseling habits. In phase 2, 293 agreed to further participate in the administration of an exercise prescription randomly assigned to them by the study team. Two methods of exercise prescription were compared: counseling using the American College of Sports Medicine guidelines (control) and counseling using guidelines and an office-based step test (Step Test Exercise Prescription [STEP]) to determine fitness level and prescribe an exercise training heart rate. Physicians were asked to deliver their assigned exercise prescription to a convenience sample of the next 10 healthy patients older than 65 years who presented to the office. MAIN OUTCOME MEASURES: Primary outcome measures were physician exercise counseling confidence and knowledge before and after the study. Secondary outcomes included details of the exercise counseling sessions (e.g., time required). RESULTS: In phase 1, more than 90% of the 362 physicians claimed to practice preventive health counseling, and 70% claimed to include exercise counseling. Only 67.4% felt confident regarding their exercise prescribing, and most (93.8%) were interested in improving their exercise prescribing skills. The leading barriers to exercise prescription were described in order as inadequate time, lack of necessary skills and tools, and lack of reimbursement. In phase 2, no difference in physician profile, patient profile, or indications for exercise counseling were observed between control (n = 145) and STEP (n = 148) groups. STEP was significantly longer (16.4 vs 12.9 min; P = .001) to administer; however, improvement in physician confidence (P = .01) and knowledge (P = .009) were significantly greater compared with controls. CONCLUSIONS: Most family physicians practiced preventive exercise counseling but reported lack of time and skills as barriers to this practice. Physicians randomized to the STEP group took longer to deliver exercise advice but felt more confident and knowledgeable compared with controls.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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.
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