Video Visits Using the Zoom for Healthcare Platform for People Receiving Maintenance Hemodialysis and Nephrologists: A Feasibility Study in Alberta, Canada
Notice bibliographique
Résumé
BACKGROUND: Demand for virtual visits (an online synchronous medical appointment between a health care provider and patient) is increasing due to the COVID-19 pandemic. There may be additional benefits of virtual visits as they appear to be convenient and potentially cost-saving to patients. People receiving maintenance hemodialysis require ongoing care from their nephrologist and may benefit from virtual visits; however, the optimal model for a virtual kidney clinic is unknown. OBJECTIVE: To codesign and assess the feasibility of a virtual (video) kidney clinic model with clinic staff, nephrologists, and patients receiving maintenance hemodialysis, to be used for routine follow-up visits. DESIGN: Mixed-methods study. SETTING: Two main kidney clinics in central Calgary, Alberta. PARTICIPANTS: Adults with kidney failure receiving maintenance hemodialysis, nephrologists, and clinic staff. METHODS: First, we individually interviewed clinic staff and nephrologists to assess the needs of the clinic to deliver virtual visits. Then, we used participant observation with patients and nephrologists to codesign the virtual visit model. Finally, we used structured surveys to evaluate the patients' and nephrologists' experiences when using the virtual model. RESULTS: Eight video visits (8 patients; 6 nephrologists) were scheduled between October 2019 and February 2020 and 7 were successfully completed. Among completed visits, all participants reported high satisfaction with the service, were willing to use it again, and would recommend it to others. Three main themes were identified with respect to factors influencing visit success: IT infrastructure, administration, and process. LIMITATIONS: Patients received training on how to use the videoconference platform by the PhD student, whom also set up the technical components of the visit for the nephrologist. This may have overestimated the feasibility of virtual visits if this level of support is not available in future. Second, interviews were not audio-recorded and thematic analysis relied on field notes. CONCLUSIONS: Video visits for routine follow-up care between people receiving hemodialysis and nephrologists were acceptable to patients and nephrologists. Video visits appear to be feasible if clinics are equipped with appropriate equipment and IT infrastructure, physicians are remunerated appropriately, and patients receive training on how to use software as needed.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».