Co-Building Hospital at Home: Qualitative Descriptive Thematic Analysis of a pan-Canadian Community Participatory Workshop Series (Preprint)
Notice bibliographique
Résumé
BACKGROUND Virtual health care models, such as Hospital at Home, are an alternative to in-person care, and allow hospitals to expand care capacity and delivery without the need for additional brick-and-mortar structures. While generally well received, there is an overall lack of awareness among those receiving and giving care about what Hospital at Home is and what it does, and uncertainty about the conditions needed to implement Hospital at Home in a safe, sustainable, and equitable way. OBJECTIVE In this descriptive qualitative study, we explored public perceptions of Hospital at Home in Canada to: (1) raise awareness about the program; (2) better understand the perceived benefits and barriers to enable informed decision-making around the national hospital at home agenda; and (3) catalyse key interest holders to ensure equitable access. METHODS Healthcare providers, patients, caregivers, and hospital administrators were recruited through online social media, and professional and community networks. Five 60-minute virtual workshops were held from January to June 2025 using a “Lunch-and-Learn" format and Liberating Structures techniques. The workshops were each comprised of two parts: speaker presentations followed by participant group discussions. The workshop presentations along with 3 written observer reports (from a patient partner, an academic, and a clinician) and workshop participant Slido responses were collected and analyzed. Descriptive thematic analysis was used to identify key themes salient to the data. RESULTS Three themes were constructed from the data: (i) making Hospital at Home work for healthcare systems, (ii) making Hospital at Home work for its people, (iii) making Hospital at Home better now, and in the future. Participants reported generally positive outcomes and high satisfaction with Hospital at Home programs in Canada. Participants highlighted the need for clear communication and collaboration across care teams, technology support for staff, managing health provider and caregiver workloads, and ensuring access for rural and remote communities. There is a need to better understand the economic sustainability of the Hospital at Home program, and to study and share outcomes from Hospital at Home models to help others and refine the model. CONCLUSIONS This study provides insights into how the Hospital at Home virtual care model is perceived by providers, patients, and caregivers in the Canadian healthcare context. Our findings highlight the importance of equity, communication, care workloads, and fiscal sustainability in supporting Hospital at Home models.
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 | 0,027 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,023 | 0,012 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,004 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».