Patient and caregiver perspectives on virtual care: a patient-oriented qualitative study
Notice bibliographique
Résumé
BACKGROUND: Since the onset of the COVID-19 pandemic, virtual care solutions have been rapidly adopted across the country to provide safe, quality care to diverse patient populations. The objective of this qualitative case study was to understand patient and caregiver experiences of virtual care to identify barriers and gather suggestions to address them. METHODS: In this patient-oriented project, we sought to understand gaps in virtual care experienced by patients and caregivers, using virtual focus groups. With the assistance of a patient research liaison, we engaged 2 patient partners as full partners; they participated in study conception, data collection, data analysis and knowledge translation. Recruitment was done through email by disseminating the study poster to 30 community organizations and health units in Ontario and British Columbia. We conducted a constructivist, qualitative study guided by grounded theory methodology. One researcher employed in-vivo coding, followed by axial coding with focus group participants, followed by selective coding with the study team. The study took place from November to December 2020. RESULTS: We conducted 6 focus groups with 13 patients and 5 caregivers. The analysis resulted in 6 major themes and 17 minor themes. Key findings showed that barriers related to access to technology and Internet, language and cultural differences were challenges to virtual care. Participants identified special considerations surrounding caregiver and family involvement; privacy, consent and confidentiality; and the patient-physician relationship. Participants suggested that technology and the Internet be universally accessible and that virtual care modalities be integrated (e.g., consolidated patient portal) to improve virtual care. INTERPRETATION: There are multiple patient-identified barriers to accessing virtual care in Canada; patients can provide insights into ways to address these barriers. Future research should include robust patient engagement to explore ways to address these challenges and barriers to ensure that virtual care can be equitable, accessible and safe for all users. PLAIN LANGUAGE SUMMARY: Although virtual care has been rapidly adopted and scaled up in health care institutions across the country, few improvements informed by patient and caregiver experiences have been made. Driven by concerns expressed by patient partners, our study team undertook a patient-partnered qualitative study to understand the barriers of virtual care from the perspectives and experiences of patients and caregivers. Our study team created the interview guide drawing from our previous patient-oriented qualitative studies and designed an orientation package to provide resources related to the focus groups and to introduce participants to the study team. Drawing from local health teams, clinics and patient advisory groups, the study team recruited 13 patients and 5 caregivers to participate in 6 focus group interviews. An analysis based on grounded theory was undertaken, with participation from both the study team and participants. Lack of access to technology or Internet and language barriers were determined to be the primary challenges in virtual care. Special considerations to caregiver and family involvement, privacy and confidentiality, as well as the patient-physician relationship were considered priorities to improving access to virtual care. Participants offered recommendations and potential solutions to address barriers and challenges in virtual care, which can serve to encourage large-scale policy and programmatic changes in patient-centred ways.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| 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) | 0,001 | 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 tête enseignante, pas un consensus.
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