Quebec Health-Related Quality-of-Life Population Norms Using the Health Utilities Index Mark 3
Notice bibliographique
Résumé
OBJECTIVES: To provide population utility norms from the Health Utilities Index Mark 3 (HUI3) for the province of Quebec, Canada. METHODS: This study used data from the Care Trajectories Enriched Data (TorSaDE) cohort, which combines data from the Canadian Community Health Survey (CCHS) and the Quebec Provincial Insurance Board [Régie de l'assurance maladie du Quebec (RAMQ)]. The CCHS is a multiround health-related survey conducted by Statistics Canada since 2007. For each round spanning over 2 years, respondents were randomly selected and completed an online questionnaire. Quebec data for the HUI3 were available in the CCHS for rounds 2007, 2009, and 2013. The RAMQ database is an administrative database that contains information on health care services use and medical diagnostics. HUI3 scores were stratified by sociodemographic variables, as well as by self-reported health problems in the CCHS and by medical diagnostics from the RAMQ. Medical diagnostics were retrieved for the CCHS completion year and the year before and identifiable with the ICD-9 code in the RAMQ database. RESULTS: A total of 55,656 individuals were considered in this analysis. The mean (95% CI) and the median interquartile range of HUI3 were respectively 0.919 (0.918-0.919) and 0.973 (0.905-1) for the entire population. Individuals with lower scores were females, those aged 75 and over, divorced or widowed, unemployed during the last 12 months, less educated, or with a lower annual household income. Individuals born abroad and with normal weight of body mass index had higher utility scores. HUI3 score decreased with the number of diagnosed diseases from 0.946 (0.946-0946) for individuals without diagnosed disease to 0.682 (0.678-0.686) for individuals diagnosed with up to 18 diseases. Regardless of the number of diagnosed diseases in the RAMQ database, individuals who self-reported suffering from a single health problem presented a significantly lower HUI3 ranging from 0.944 (0.943-0.944) for Asthma to 0.789 (0.782-0.796) for Alzheimer compared with 0.956 (0.956-0.957) for individuals with no reported health problems. The same pattern was observed when considering individuals regardless of the diagnosed and self-reported diseases. CONCLUSION: Utility score norms for HUI3 were produced in the general population of Quebec. Significant differences among various health problems were identified and norms can be used to compare populations in studies that do not have a control group.
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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 | 0,023 | 0,005 |
| 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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».