Describing Supportive Care Programming Access and Comfort Gathering through the COVID-19 Pandemic: An Observational Mixed Methods Study with Adults Affected by Cancer
Notice bibliographique
Résumé
Supportive care programming helps many adults affected by cancer manage concerns related to their disease. Public health restrictions imposed by the COVID-19 pandemic have undoubtedly changed the nature of supportive care programming delivery. Yet, access to supportive care programming and comfort gathering through the pandemic are unknown. As a first step towards informing ongoing supportive care programming for adults affected by cancer, this observational, mixed methods study described supportive care programming access through the COVID-19 pandemic and comfort returning to in-person supportive care programming as restrictions eased. Adults affected by cancer (n = 113; mean age = 61.9 ± 12.7 years; 68% female) completed an online survey, and descriptive statistics were computed. A purposeful sample of survey participants (n = 12; mean age = 58.0 ± 14.5 years; 58% female) was subsequently recruited to complete semi-structured interviews. Interviews were analyzed using reflexive thematic analysis. Less than half (41.6%) of the survey sample reported accessing supportive care programming during the pandemic, and of those who had accessed supportive care programming, most (65.6%) perceived similar or greater access than pre-pandemic. During interviews, participants described the ways online delivery enhanced their access and reduced barriers to supportive care programming. However, physical activity programming was described as challenging to navigate online. With restrictions easing, most of the survey sample (56.6%) reported being apprehensive about returning to in-person supportive care programming and identified the protocols that would make them feel safe to gather. During interviews, participants recounted struggling to balance their need for social connection with their health and safety. This study provides evidence to inform supportive care programming for adults affected by cancer through the COVID-19 pandemic. Findings suggest online delivery can enhance access to some types of supportive care programming for some adults affected by cancer, and that efforts are needed to ensure all adults affected by cancer feel comfortable gathering in-person.
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 | 0,011 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».