Telephone Follow-Up by Nurse After Total Knee Arthroplasty
Notice bibliographique
Résumé
BACKGROUND/PURPOSE: Because of shorter hospitalizations, patients now have to take responsibility for their recovery period at a very early stage. We evaluated the effects of structured, nurse-managed telephone follow-up (TFU) after discharge from the hospital following total knee arthroplasty (TKA). METHOD/DESIGN: The design was a single-center, unblinded, parallel-group randomized clinical trial. The primary outcome was self-reported physical function according to the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) Index. Secondary outcomes were stiffness and pain according to the WOMAC Index; health-related quality of life, measured with the Medical Outcomes Study Short Form (SF-36); general self-efficacy, measured with the General Self-Efficacy Scale; and number of acute visits to the orthopaedic outpatient clinic. In total, 117 patients were randomized to 2 groups: an intervention group receiving TFU 4 and 14 days after discharge in addition to conventional treatment, and a control group receiving conventional treatment. The TFUs were structured by key subjects for health status, as defined by the VIPS model (the Swedish acronym for the concepts of Well-being, Integrity, Prevention, and Safety). The effect was measured 1 and 3 months postsurgery. RESULTS: No significant effects on physical function in the disease-specific WOMAC Index were identified. However, significant differences in scores were identified in favor of the intervention group on general self-efficacy (p = .014) and physical function (p = .031), measured with the Medical Outcomes Study Short Form 1 month after TKA, but this effect was not seen at 3 months. A positive improvement in several dimensions of health status and health-related quality of life was identified in favor of the intervention group, but patients who had TFU had more unscheduled visits to the outpatient clinic. CONCLUSIONS: Telephone follow-up did not improve physical function compared with conventional treatment, as measured with the WOMAC Index. A short-term effect was identified, improving general self-efficacy and physical function as dimensions of health-related 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 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 | 0,001 |
| 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) | 0,002 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».