Adherence and perception of the importance of anti-COVID-19 protective measures amongst patients with cancer.
Notice bibliographique
Résumé
e24120 Background: Patients (pts) with cancer are at a higher risk of COVID-19 (C19) severe disease. However, our group and others have demonstrated a low prevalence of C19 infection among asymptomatic pts with cancer on active systemic treatment. We hypothesized this phenomenon was due to increased adherence of pts with cancer to anti-C19 protective measures. This study compares adherence and the perceived importance of such measures in oncologic and non-oncologic populations. Methods: This is a cross-sectional study conducted between June and September 2021. A questionnaire was developed to assess how participants perceived and adhered to masking, handwashing, and other anti-C19 protective measures. Demographic information, educational level, and monthly income were also collected. Three groups were included: A) pts with cancer treated at Hospital de Base (HB); B) pts without cancer treated at HB for other medical conditions; C) a healthy outpatient population. Data were summarized in means, medians, and proportions. Chi-squared or Fisher´s exact test was used to compare categories; ANOVA was employed to compare means. A multivariable analysis assessing factors associated with adherence to anti-C19 protective measures was performed. Results: A total of 607 people were interrogated (200 in groups A and B, and 207 in C). The mean age of groups A, B, C was significantly different: 60 vs. 52 vs. 35 years old (p < 0.001). Group C had a higher educational level and a higher monthly income than groups A and B (p < 0.001). In cohort A, gastrointestinal, breast, and genitourinary were the most frequent tumors (33%, 31%, 15%); 75% of pts had active disease. Pts with cancer were more adherent to anti-C19 protective measures: of 33 points, the mean score of groups A, B, C was respectively 27.8 vs. 25.5 vs. 21.9 (p < 0.001). Regarding the importance of anti-C19 protective measures, pts with cancer also perceived those as more relevant: of 21 points, the mean score of groups A, B, C was respectively 17.8 vs. 17 vs. 16.9 (p < 0.001). For instance, in group A, 95% report consistently wearing a mask when leaving home compared to 90% and 58.2% of groups B and C. In line with our findings, 20.5% vs. 32.5% vs. 35.3% (p < 0.003) of groups A, B, and C reported having C19 before the questionnaire. In multivariable analysis, groups B and C were less likely to adhere to anti-C19 protective measures than group A. Conclusions: Pts with cancer are more adherent to anti-C19 protective measures and perceive them as more important than non-oncologic populations. Our results shed light on the accumulating literature of a low incidence of C19 amongst asymptomatic pts with cancer on systemic treatment even during the surges. Such findings are possibly related to the fact that cancer pts are more vulnerable to hospitalizations and unfavorable outcomes than the general population, prompting a more risk-averse behavior.
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 | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».