Patient Experiences With Virtual Care During the COVID-19 Pandemic: Phenomenological Focus Group Study
Notice bibliographique
Résumé
BACKGROUND: Virtual care has expanded during the COVID-19 pandemic and enabled greater access and continuity of care for many patients. From a patient-oriented research perspective, understanding the patient experience with virtual care appointments is an important first step in identifying ways to better support patient use and satisfaction. OBJECTIVE: The purpose of this qualitative study was (1) to explore patients' experiences and perspectives with the adoption and use of virtual care during COVID-19 in Newfoundland and Labrador, Canada, and (2) identify the education and informational needs of patients to inform future strategies for supporting patient use of virtual care. METHODS: Using a phenomenological approach, we conducted a focus group interview with a purposive sample of patient representatives representing a cross-section of the population of the province of Newfoundland and Labrador. Five patient representatives were recruited from the Newfoundland and Labrador Support Patient Advisory Council and participated in the focus group. The focus group was conducted in February 2022 via videoconferencing technology. Using thematic analysis, we identified several recurrent themes that described respondents' experiences with the use of virtual care during COVID-19, as well as their perceptions of education and informational needs to support more effective patient use of virtual care. RESULTS: Respondents felt that virtual care is a beneficial addition to the health care system, enabling greater convenience and access to health care services. Key barriers and challenges in adopting and using virtual care appear to primarily arise from patients' lack of knowledge, understanding, and familiarity with respect to virtual care. Cost, technological access, connectivity, and low digital literacy were challenges for some patients, particularly in rural communities and among older patient population. Patient education and support were critical and needed to be inclusive, easy to understand, and include information regarding privacy, security, consent, and the technology itself. The types of patient education experiences regarded as most helpful included peer support and knowledge sharing among patients themselves. CONCLUSIONS: Beyond the COVID-19 pandemic, virtual care will have a continuing role in enhancing the continuity of care for patients through more convenient access. The education and informational needs of patients are important considerations in promoting the adoption and use of virtual care. Key education and informational needs and strategies were identified to enable and empower patients with the knowledge, digital literacy skills, and support to effectively use virtual care.
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 | 0,007 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,011 | 0,007 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,003 |
| 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 ».