Gender Differences in Perceptions of Psoriatic Arthritis Disease Impact, Management, and Physician Interactions: Results from a Global Patient Survey
Notice bibliographique
Résumé
INTRODUCTION: We evaluated the impact of gender on disease severity, health-related quality of life (HRQoL), treatment management, and patient-healthcare professional (HCP) interactions from the perspectives of patients with psoriatic arthritis (PsA). METHODS: Data were collected from a global online patient survey conducted by The Harris Poll (November 2, 2017 to March 12, 2018). Eligible patients were aged ≥ 18 years, with a self-reported diagnosis of PsA for > 1 year, had visited a rheumatologist/dermatologist in the past 12 months, and had reported previously using ≥ 1 conventional synthetic or biologic disease-modifying antirheumatic drug. Data were stratified by gender and analyzed descriptively, inferentially by binomial (chi-square) tests, and by multivariate logistic regression models. RESULTS: Data from 1286 patients who participated were included: 52% were female, 48% were male. Varying perceptions of disease severity between males and females were indicated by differences in symptoms leading to a diagnosis of PsA, and in symptoms reported despite treatment; more females than males reported joint tenderness, skin patches/plaques, and enthesitis. More females than males reported a major/moderate impact of PsA on their physical activity and emotional/mental well-being. Reasons for switching medication differed between genders, with more females switching because they perceived their medication to not be effective enough related to their joint symptoms. More females than males were very satisfied with their communication with their rheumatologist and were more likely to discuss the impact of PsA on their daily lives, their treatment satisfaction, and treatment goals with their rheumatologist. CONCLUSIONS: Patients' perceptions of the impact of PsA on HRQoL, treatment management, and interactions with HCPs varied between males and females. More females than males reported major/moderate physical and emotional impacts of PsA. When treating patients, it is important for HCPs to consider the potential impact of gender on patients' experience of PsA and its symptoms. Graphical plain language summary available for this article.
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Comment cette classification a été obtenuedéplier
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) | 0,000 | 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».