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Enregistrement W3048840153 · doi:10.1097/corr.0000000000001440

Cochrane in CORR ®–Interactive Telemedicine: Effects on Professional Practice and Health Care Outcomes

2020· article· en· W3048840153 sur OpenAlexaff
Luc Rubinger, Mohit Bhandari

Notice bibliographique

RevueClinical Orthopaedics and Related Research · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueTelemedicine and Telehealth Implementation
Établissements canadiensHamilton Health SciencesMcMaster University
Organismes subventionnairesnon disponible
Mots-clésTelemedicineMedicineHealth careMEDLINERandomized controlled trialMedical emergencyPatient satisfactionSports medicineEvidence-based medicineNursingMedical educationAlternative medicinePhysical therapySurgery

Résumé

récupéré en direct d'OpenAlex

Importance of the Topic The novel coronavirus (COVID-19) pandemic has accelerated the use and implementation of interactive telemedicine technologies, which are platforms that allow clinicians and patients to exchange information and communicate in real-time [6]. This trend has impacted all specialties of medicine, including orthopaedic surgery [2, 8, 14, 17–19]. However, the flood of fast-tracked papers relating to COVID-19, with discussions surrounding the validity of these rapidly produced manuscripts [12], can cloud clinicians’ decision-making when implementing telemedicine. Further, the use of these rapidly developing technologies is arguably premature, and can potentially be harmful when implemented without evidence to support their safety and efficacy. The drive to implement telemedicine comes from its potential to improve patient access to care, health outcomes, and reduce healthcare costs; however, remote technology-based patient care is not a one-size-fits-all solution for all medical and surgical conditions. Each condition presents unique hurdles that the patient, provider, and technology must overcome, including difficulty with and resistance to fitting telemedicine into routine practice, complications in the interaction between healthcare professionals, inconsistent patient satisfaction, patient (lack of) access to internet, and ethical concerns [15]. In a Cochrane review from 2015, Flodgren and colleagues [11], investigated the efficacy, costs, and acceptability of interactive telemedicine as an alternative, or in addition to, usual care across all medical specialties. Ninety-three randomized controlled trials were included (22,047 participants). The authors found that interactive telemedicine in the management of chronic health conditions was equivalent to usual practice, but the cost implications and acceptability from patients and healthcare practitioners has not yet been elucidated. Upon Closer Inspection This Cochrane review discusses results that are of particular interest to orthopaedic surgeons and has implications on their future practice. As the abstract describes, the quality of evidence in telemedicine domain is high, however, there is a great deal of heterogeneity in the patient populations, healthcare practitioners, and types of interactive telemedicine interventions included. Most of the studies included in this Cochrane review pertained to heart failure and diabetes, with the bulk of interventions dealing with monitoring and/or providing treatment of chronic conditions, which provide little direct insight into the impact of telemedicine on patients with musculoskeletal injuries. Further, this review did not cover issues surrounding access to internet and telemedicine, or the ethics of providing care through telemedicine. Only two studies included orthopaedic patients [13, 23]. These papers investigated participants attending outpatient clinics for a variety of specialty consultations or minor procedures and found no difference in patient satisfaction between telemedicine and face-to-face consultations, but reported more investigations ordered, higher healthcare costs, and decreased costs borne by the patient when care was provided via telemedicine. No patients with musculoskeletal injuries were included from a postoperative or rehabilitation perspective. Still, there are included studies that can be extrapolated to the orthopaedic populations; they reported no difference in outcomes of patients undergoing immediate postoperative telemedicine assessments in solid organ transplant recipients [16], and for urological surgeries [9, 10]. While this Cochrane review concludes that interactive telemedicine works well in the monitoring of chronic conditions (although it is more expensive than “usual care”), it is our opinion that the several studies directly relevant to the practicing orthopaedic surgeon together can validate increased usage of telemedicine technologies in preoperative consultations and post-operative rounding/assessments of our patients. Since this review has been completed, there has been a large expansion in the orthopaedic-specific evidence about telemedicine, in large part because of COVID-19, that likely necessitates an updated review of the literature. Randomized controlled trials have shown no change in patient satisfaction in remote orthopaedic consultations with both patient and systems cost savings [3, 4], and decreased length-of-stay in fast-tracked patients with total hip replacement [22]. Additional lower quality evidence has been published in various orthopaedic subspecialty patient populations such as pediatric and adult fractures [5, 20], spine [21], patients with long-term musculoskeletal injuries [7], and sports medicine [1], with generally positive results pertaining to patient outcomes and satisfaction, ultimately further validating uptake of telemedicine in clinical practice. Take-home Messages There is promising evidence presented in this Cochrane review, and otherwise, to support the continued uptake of telemedicine technologies in the orthopaedic world. In the proper settings, orthopaedic patients can be safely be assessed pre and postoperatively through interactive telemedicine technologies, with maintained patient satisfaction. Nonetheless, in a world with rapidly increasing demand for telemedicine solutions to provide musculoskeletal care, whether it be caused by a global pandemic or otherwise, our specialty needs to proceed with caution. Given the breadth of patients and clinical problems that orthopaedic surgeons manage on a daily basis, it is difficult to make generalizable, or blanket statements about the safety, efficacy, and cost-nature of telemedicine in orthopaedics. The need for prospective research data that are specific to different orthopaedic patient populations, clinical problems, and type of telemedicine utilized to deliver care to ultimately improve patient care and practice management cannot be overstated. In addition, there are numerous stakeholders whose needs one must consider prior to executing and interpreting future studies on this topic. The various stakeholders include: patients, physicians and surgeons, physio- and occupational therapists, health system management, and society as a whole. Disease-specific outcome measures, patient satisfaction, healthcare professional workflow and efficiency, cost-effectiveness (from patient and system perspectives) and cost-utility must all be considered. In the case where the use of telemedicine is necessary or potentially helpful, upon integration into their practice, surgeons should make every attempt to gather data and feedback about the telemedicine system used in real time, through patient surveys, interpreting costing data, and following patient outcomes, to understand its impact on their patients, and on the healthcare systems in which they practice.

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)0,009
score de la tête « metaresearch » (Gemma)0,101
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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,079
Score d'incertitude au seuil0,266

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,101
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0050,010
Bibliométrie0,0070,008
Études des sciences et des technologies0,0010,001
Communication savante0,0040,003
Science ouverte0,0020,003
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0790,005

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 Opus0,109
Tête enseignante GPT0,560
Écart entre enseignants0,451 · 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
GenreEmpirique

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

En bref

Citations14
Publié2020
Routes d'admission1
Résumé présentoui

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