Life with a rare chronic disease: the scleroderma experience
Notice bibliographique
Résumé
BACKGROUND: Little is known about the experience of living with a rare disease and how people with rare diseases cope with not only the disease but also the reactions of others. Scleroderma is a rare chronic connective tissue disease that results in fibrotic changes involving all or some organs of the body. The two types of scleroderma are systemic scleroderma, which involves the skin and internal organs and is the more serious type, and local scleroderma, which attacks the skin and surrounding tissues. Some people with scleroderma have signs that are visible to outsiders, while others have invisible signs. Having this chronic condition and being different from the general population may subject people with scleroderma to stigmatization by others. AIM: The aim of this study was to understand, from the individual's perspective, the experience of living with scleroderma. METHOD: Focus group interviews were conducted with two groups of individuals with scleroderma. Because of the rarity of the disease and the illness of the participants, only two groups were held. The same questions were asked of both groups. A moderator and assistant guided the groups. FINDINGS: Data analysis revealed five themes: physical manifestations, disclosure/non-disclosure to others, living, being normal and facing the future. The data are discussed in light of participants' having visible signs, invisible signs and the rarity of their condition. For those with visible signs, disclosure was automatic. They were conscious of being different from others without scleroderma. Those with invisible signs managed their disease information in such a way as to minimize the stigma of being different. The rarity of the disease added the problem of others not understanding their difficulties. Those who disclosed their disease not only had to deal with the reactions of others, but faced the additional burden of having to explain their condition. CONCLUSION: Nurses may have little knowledge about scleroderma. It is possible that they, through their ignorance of such rare conditions, may stigmatize individuals. Through understanding about rare diseases will they be able to teach patients the skills necessary to help them cope with their symptoms, as well as the reactions of others to their diagnosis and appearance.
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 | 0,005 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,009 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».