The impact of the episodic nature of chronic illness: A comparison of fibromyalgia, multiple sclerosis and human immunodeficiency virus
Notice bibliographique
Résumé
The purpose of this narrative review was to describe and compare the characteristics and episodic nature of disability among three chronic illnesses: multiple sclerosis (MS), HIV and fibromyalgia (FM). Searches were performed in electronic databases using a combination of keywords including episodic, relapse, remission, and fluctuation. We included articles published between 2004–2014 that described health challenges and the episodic nature of the illness. Data were extracted from selected articles, including the authors, date of publication, study population, the aims of the study, outcome measures and main study findings, and then were charted and collated to the dimensions of disability in the episodic disability framework. The descriptive words about symptoms/impairments, difficulty in day to day functioning, challenges to social inclusion and uncertainty were compared across illnesses to identify similarities and differences. We reported findings as a narrative summation. Forty-seven articles were included in this review. The comparison of the three chronic illnesses demonstrated that some of the symptoms/impairments such as pain, fatigue, sleep disturbance, depression, stress, and anxiety were reported commonly across illnesses. Similarly, difficulty with day to day functioning, challenges to social inclusion and uncertainty were reported across illnesses. On the other hand, factors influencing the symptoms, difficulties in daily functioning, challenges to social inclusion and uncertainty were found to be different. The episodic nature of the illness was identified among the three chronic conditions. People living with FM or MS or HIV, experience some common dimensions of disability that may be similarly experienced as episodic in nature. These similarities may not be exclusive to these three chronic illnesses, but could apply to individuals living with other chronic and episodic illnesses. Pursuing ways to enhance rehabilitation services among the conditions that experience similar episodic disability may help collectively to address disability and improve the overall health of people living with chronic illnesses.
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 | 0,002 |
| 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 | 0,003 |
| 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 ».