Burden to Partners of People with Psoriasis: Results from the FamilyPso International Study
Notice bibliographique
Résumé
BACKGROUND: Psoriatic disease is a lifelong chronic illness for which there is no cure. It is well established that psoriasis leads to a major impairment of health-related quality-of-life and wellbeing. Most people with psoriasis live together with partners, bringing along a major burden for them. The FamilyPso was created to measure this burden in psoriasis. OBJECTIVE: The aim of the FamilyPso international study was to validate this tool and to show feasibility for the use of the FamilyPso across multiple countries. METHODS: A prospective cohort study was conducted in 11 centers in Austria, Canada, Germany, Italy, Spain, and Turkey. The factor structure of the FamiliyPso was examined by confirmatory factor analysis (CFA) including tests of measurement invariance for gender and language. Subgroups (e.g., countries and gender) were tested for significant differences, and the relationship between the severity of illness and FamilyPso scores was tested for differences between countries using a mixed regression model. Descriptive statistics for items and scores are presented herein. RESULTS: The cohort consisted of 556 people with psoriasis and their partners. Patients agreed that their partners would answer the questionnaire in their absence and return the forms to the centers. The mean age of patients and partners was 51 years. Psoriasis severity was mild in 57.6%, moderate in 31.5%, and severe in 10.9% of cases, and 91.3% received treatment. The results of the CFA confirmed the original factor structure with minor modifications. Self-assessed high severity of psoriasis was a predictor for a higher burden in 4/5 FamilyPso domains. There was an increased burden to partners related to the severity of psoriasis particularly in the domain "general emotional strain," including items such as a "feeling of helplessness." The results of the study showed that the FamilyPso could assess the burden of partners of people with psoriasis and can be used across different countries. CONCLUSIONS: The data can improve management of psoriatic disease and should be considered in shared decision-making.
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 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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,001 | 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 ».