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Enregistrement W4389307944 · doi:10.1007/s12325-023-02673-0

The Impact of the COVID-19 Pandemic on Patients with Ulcerative Colitis: Results from a Global Ulcerative Colitis Narrative Patient Survey

2023· article· en· W4389307944 sur OpenAlexaffabout
Laurent Peyrin‐Biroulet, Anna Karoliina Ylanne, Allyson Sipes, Michelle Segovia, Sean Gardiner, Joseph C. Cappelleri, Amy Mulvey, Remo Panaccione

Notice bibliographique

RevueAdvances in Therapy · 2023
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueInflammatory Bowel Disease
Établissements canadiensUniversity of CalgaryMcGill University Health Centre
Organismes subventionnairesPfizer
Mots-clésMedicineUlcerative colitisPandemicMedical prescriptionFamily medicineDiseaseCoronavirus disease 2019 (COVID-19)AnxietyInternal medicinePsychiatryNursingInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

The coronavirus disease 2019 (COVID-19) pandemic created challenges related to disease management of patients with ulcerative colitis (UC). The UC Narrative COVID-19 survey was conducted from August to December 2021 among adults with UC from the United States, Canada, Japan, France, and Finland. Patients were questioned on disease management, health care access and experience, and preferences for interactions with their doctor. Data were analyzed descriptively. In total, 584 patients qualified for and completed the survey. Compared with 2019, 25% experienced more flares during the pandemic (from early 2020). Most patients (88%) taking prescription medication were very/somewhat satisfied with their current treatment plan; 53% were hesitant to make changes during the pandemic. Factors that patients agreed helped control UC symptoms during the pandemic included fewer social outings (37%), working from home (29%), and less busy schedules (28%). Greater anxiety/stress (43%) and hesitancy to visit a hospital/office (34%) made the control of UC symptoms more difficult. Compared with 2019, more patients relied on certain alternative support systems during the pandemic. Patients who used in-person and virtual appointments were equally very satisfied/satisfied with the quality of care (both 81%). In-person appointments were preferred by 68% of patients when meeting a new doctor, 55% when experiencing a flare, and 52% for regular check-ups; 41% preferred virtual appointments for UC prescription refills. During the pandemic, most patients were satisfied with their current UC treatment plan and access to care; more patients relied on certain alternative UC management support systems, and many were impacted by anxiety/stress. The coronavirus disease 2019 (COVID-19) pandemic created challenges for patients with ulcerative colitis. These challenges included managing symptoms, lifestyle changes, and access to health care. We asked patients with ulcerative colitis to answer questions about their experience during the pandemic to try to understand how the pandemic was affecting them. A total of 584 patients from the United States, Canada, Japan, France, and Finland took part. Patients were asked questions online. We asked them about their disease activity during the COVID-19 pandemic compared with before the pandemic and how their disease was managed, their access to health care, and their experience during the pandemic. We also asked them about their satisfaction with the types of appointments they had during the pandemic (for example, in-person or virtual meetings), and their interactions and preference for interactions with their doctors. We found that most patients were satisfied with their current treatment plan, their access to health care, and the quality of the care they received. However, many patients experienced greater stress or anxiety, and there was a negative impact on their emotional well-being. During the pandemic, more patients relied on alternative support systems such as online patient portals or virtual appointments, but patients preferred in-person appointments with their doctors in most cases except for refilling prescriptions. This information may help doctors understand the impact of the COVID-19 pandemic on patients with ulcerative colitis, and may help doctors and patients develop treatment plans that include both in-person and virtual appointments.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,081
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,315
Écart entre enseignants0,299 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2023
Routes d'admission2
Résumé présentoui

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