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Enregistrement W2323686105 · doi:10.2106/jbjs.n.00829

Web-Based Follow-up After Total Joint Arthroplasty Proves to Be Cost-Effective, but Is It Safe?

2014· letter· en· W2323686105 sur OpenAlexaboutno aff
Carola F. van Eck

Notice bibliographique

RevueJournal of Bone and Joint Surgery · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueOrthopaedic implants and arthroplasty
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLife expectancyOsteoarthritisPhysical therapyJoint arthroplastyHealth careArthroplastyIncidence (geometry)SurgeryEnvironmental healthAlternative medicinePopulation

Résumé

récupéré en direct d'OpenAlex

Commentary Osteoarthritis is one of the most common conditions seen and treated by orthopaedic surgeons worldwide. With mean life expectancy continuing to increase and an ongoing obesity epidemic, the incidence of osteoarthritis is only expected to increase in the future. Total joint arthroplasty is a cost-effective procedure to reduce pain and improve function in patients with advanced osteoarthritis. However, with the increasing demand for this procedure, wait times for the surgery continue to increase. It is projected that approximately 4 million total hip and knee arthroplasties will be performed per year in the United States alone by the year 20301. This increase is associated with an overall increase in health-care costs. In their study, Marsh et al. aimed to compare the cost-effectiveness of web-based follow-up after total joint arthroplasty with that of in-person follow-up. They randomized 229 patients to receive one of these two methods of follow-up and recorded travel costs, time required by the patient, and resource use during the first year of follow-up. They performed a cost analysis from the payer (Ontario Ministry of Health and Long-Term Care) perspective and also from the societal perspective. They reported several important findings. First, they found a reduction in costs (reported in Canadian dollars) from the payer perspective for the patients who received web-based follow-up ($159) compared with in-person follow-up ($185), although the difference was not significant. In light of the recent changes in the United States health-care system, cost-effectiveness and decreasing overall health care-costs are becoming increasing priorities. The results of this study are encouraging and could certainly affect clinical practice, not only in Canada and the United States but all over the world. Especially in countries with a more socialized health-care system (e.g., in parts of Europe), cost-efficiency is a major focus in health care as the discrepancy between supply and demand can lead to an increase in wait times for patients. Careful monitoring of patients with total joint implants is important in both the short and long term. Therefore, reducing the number of follow-up appointments or the length of follow-up is not an option. Even several years after the index procedure, patients continue to be at risk for periprosthetic joint infection, implant wear, loosening, and catastrophic failure. Meding et al.2 reviewed the outcomes of 16,414 primary total knee arthroplasties to determine the time to reoperation for specific failure mechanisms. The median times to failure for the most common failure mechanisms were 1.9 years for infection, 3.1 years for tibial collapse, 4.9 years for implant loosening, and 5.6 years for instability. On the basis of these results, the authors recommended routine follow-up at six months, one year, three years, eight years, twelve years, and every five years thereafter. Even closer follow-up was recommended for those patients with greater pain in the early postoperative period or a high body mass index (≥41 kg/m2). The consequences of complications after total joint replacement surgery can be devastating. However, if a complication is identified at an early stage, treatment is usually less technically demanding for the surgeon; less costly for the health-care payer; and, most important, less debilitating for the patient. By definition, web-based follow-up excludes physical examination of the patient by the surgeon. It would be important to know whether this leads to complications being missed. According to the latest recommendations from the Infectious Diseases Society of America (IDSA), the workup for a possible periprosthetic joint infection should start with a thorough history and physical examination; if there is any suspicion of infection, it should proceed with tests for the erythrocyte sedimentation rate and/or C-reactive protein level, radiographs, arthrocentesis, blood cultures, and advanced imaging3. Although physical examination was not performed in the web-based follow-up group, Marsh et al. indicated that the web-based follow-up sufficed for identifying any issues, as there were no patients in their web-based follow-up group for whom the surgeon believed a complication was missed. However, their sample size may not have been large enough to include an adequate number of patients with complications, possibly causing a type-II error. Another important finding of the study by Marsh et al. was that the societal cost for the web-based follow-up (CDN$222) was also lower than that for in-person follow-up (CDN$245). Other authors have previously identified this benefit as well. Sharareh et al.4 offered patients additional Skype visits in the immediate postoperative period. Although they did not evaluate the cost-effectiveness of this approach, they did demonstrate a reduction in unscheduled clinic visits and telephone calls. This indicates that web-based, Skype, or other remote methods of communication between patients and their surgeon might lead to a decrease in the use of other health-care resources such as the answering service, primary care doctor, emergency department, or urgent care clinic. This can, in turn, decrease overall health-care costs. In conclusion, the study by Marsh et al. showed that a web-based follow-up assessment for tracking patient progress and outcomes following total hip and total knee arthroplasty has lower associated costs, from both the societal and the health-care payer perspective, compared with in-person follow-up. The authors should be commended on a well-conducted, methodologically sound study pointing out the relevance of cost-effectiveness of health care and avoidance of unnecessary office visits. However, future research with a larger patient cohort is needed to demonstrate the safety of web-based follow-up. Complication rates after total joint replacement are relatively low, and early signs and symptoms of complications may be subtle and could therefore be missed when a thorough physical examination is not routinely performed. Lowering health-care costs is important, but patient safety should come first.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,113
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,056

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,113
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,002
Communication savante0,0020,003
Science ouverte0,0040,001
Intégrité de la recherche0,0130,013
Charge utile insuffisante (le modèle a refusé de juger)0,0160,003

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.

Tête enseignante Opus0,031
Tête enseignante GPT0,252
Écart entre enseignants0,222 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2014
Routes d'admission1
Résumé présentoui

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