MP12-09 QUALITY OF LIFE AND HEALTH STATE UTILITIES IN BLADDER CANCER PATIENTS ACROSS THE CARE TRAJECTORY
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Résumé
You have accessJournal of UrologyHealth Services Research: Practice Patterns, Quality of Life and Shared Decision Making I (MP12)1 May 2024MP12-09 QUALITY OF LIFE AND HEALTH STATE UTILITIES IN BLADDER CANCER PATIENTS ACROSS THE CARE TRAJECTORY Mia Papasideris, Karen E. Bremner, Douglas C. Cheung, Peter E. Black, Wassim Kassouf, William L. Wong, and Girish S. Kulkarni Mia PapasiderisMia Papasideris , Karen E. BremnerKaren E. Bremner , Douglas C. CheungDouglas C. Cheung , Peter E. BlackPeter E. Black , Wassim KassoufWassim Kassouf , William L. WongWilliam L. Wong , and Girish S. KulkarniGirish S. Kulkarni View All Author Informationhttps://doi.org/10.1097/01.JU.0001009376.16371.fb.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Utility is a preference-based measure of health-related quality of life (HRQOL) used in cost-effectiveness and decision models. There are few robust utility data for bladder cancer (BCa) patients, and none span the entire care trajectory. The objective of this study was to measure utilities and HRQOL in BCa patients at all phases of care. METHODS: In this prospective multi-centre study, we identified 15 BCa health states from Diagnosis to Third Line Metastatic disease based on patients' expected pathways (Table 1). Consenting BCa patients attending outpatient urology, medical oncology and palliative care clinics at 3 tertiary care centres in 3 Canadian cities were allocated to a health state based on medical chart review. They were re-evaluated every 1 to 6 months for up to 2 years for transition to a second health state. At baseline and transition, patients completed 3 validated published utility instruments: our internally developed Bladder Utility Symptom Scale (BUSS), EQ-5D-5L, and the Quality of Life Utility-Core 10 Dimensions (QLU-C10D; derived from the EORTC QLQ-C30). We report descriptive statistics across instruments and health states. RESULTS: A total of 371 patients (mean age 69 years, 75% male) completed at least 1 utility instrument, and 358 completed all 3 at least once, with 411 health state observations. Mean utilities were higher at Diagnosis (BUSS: 0.87; EQ-5D-5L: 0.86; QLU-C10D: 0.81) and NMIBC Surveillance (BUSS: 0.91; EQ-5D-5L: 0.86; QLU-C10D: 0.81) than during treatment (Table 1). The lowest mean utilities were with radical cystectomy, at 0.65 (BUSS), 0.76 (EQ-5D-5L), and 0.55 (QLU-C10D) for 34 patients. EORTC QLQ-C30 function and symptom scales mirrored trends in utilities. Fatigue, insomnia, and gastrointestinal symptoms were common during treatment states (Figure 1). CONCLUSIONS: We generated the first reference standard set of utilities for all phases of BCa care. Patients reported large variability in HRQOL outcomes over the care pathway. These utilities can inform cost-effectiveness and comparative effectiveness studies. Download PPT Source of Funding: Canadian Institutes of Health Research Project Grant awards, 390221 (Bridge funding) and PJT 173386 © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e203 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Mia Papasideris More articles by this author Karen E. Bremner More articles by this author Douglas C. Cheung More articles by this author Peter E. Black More articles by this author Wassim Kassouf More articles by this author William L. Wong More articles by this author Girish S. Kulkarni More articles by this author Expand All Advertisement PDF downloadLoading ...
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 | 0,001 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,072 | 0,010 |
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 ».