A Qualitative Research for Defining Meaningful Attributes for the Treatment of Inflammatory Bowel Disease from the Patient Perspective
Notice bibliographique
Résumé
INTRODUCTION: Crohn's disease (CD) and ulcerative colitis (UC) are chronic, inflammatory bowel diseases (IBD). Each class and type of medication available for the treatment of IBD has distinct characteristics and long-term effects that a patient may consider. We present the results of qualitative research that aimed to develop a descriptive framework that outlines the most relevant disease and/or treatment attributes for IBD treatment decisions and focuses on the patient perspective. METHODS: This research employed a three-step approach: a literature review to identify a broad list of attributes, a focus group meeting including patients and clinicians to assess the relevance of the attributes, and two rounds of voting to name and define each attribute. The literature review was used to develop the initial list of attributes. Although the same attributes were defined for both UC and CD, the relative importance of each attribute to UC or CD was considered. The list of attributes was discussed and evaluated in the focus group meeting, which included eight patient representatives and nine gastroenterologists. Using feedback elicited from the focus group meeting, the research team developed a draft of the descriptive framework that grouped the attributes into domain subsets. All members of the focus group participated in two subsequent rounds of structured, online voting, which was used to refine the wording to name and define each attribute. Additionally, participants ranked all the attributes included in the descriptive framework to suggest which attributes were less relevant and could be omitted. RESULTS: Among 574 publications retrieved from the databases and registries, we identified 32 eligible publications, and an initial list of attributes was developed. This list was refined during the focus group meeting, resulting in a draft descriptive framework of attributes within subsets of domains. The final descriptive framework was developed based on structured rounds of online voting to further refine attribute names and definitions. In the final descriptive framework, a total of ten attributes were identified: abdominal pain, other disease-related pain, bowel urgency, fatigue, risk of cancer and serious infections within the next 10 years, risk of mild to moderate complications, aesthetic complications related to treatment, emotional status, sexual life, and social life and relationships. These attributes were distributed across three domains: efficacy, complications and risk, and health-related quality of life. CONCLUSIONS: Through the identification of the ten most relevant attributes that influence patient decision making for IBD treatments, we developed a descriptive framework that should be considered by physicians when discussing IBD treatment options with their patients. The results of our qualitative research may also be helpful for the development of future IBD clinical studies and quantitative research.
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 | 0,148 | 0,155 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,016 | 0,029 |
| Communication savante | 0,013 | 0,013 |
| Science ouverte | 0,004 | 0,015 |
| Intégrité de la recherche | 0,003 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».