Use of quality-adjusted life years for the estimation of effectiveness of health care: A systematic literature review
Notice bibliographique
Résumé
OBJECTIVES: The objectives of this study were to identify, in a systematic literature review, published studies having used quality-adjusted life years (QALYs) based on actual measurements of patients' health-related quality of life (HRQoL) and to determine which HRQoL instruments have been used to calculate QALYs. Furthermore, the aims were to characterize studies with regard to medical specialty, intervention studied, results obtained, quality, country of origin, QALY gain observed, and interpretation of results regarding cost-effectiveness. METHODS: Systematic searches of the literature were made using the MEDLINE, Embase, CINAHL, SCI, and Cochrane Library electronic databases. Initial screening of identified articles was based on abstracts read independently by two of the authors; full-text articles were again evaluated by two authors, who made the final decision on which articles should be included. RESULTS: The search identified 3,882 articles; 624 were obtained for closer review. Of the reviewed full-text articles, seventy reported QALYs based on actual before-after measurements using a valid HRQoL instrument. The most frequently used instrument was EuroQol HRQoL instrument (EQ-5D, 47.5 percent). Other instruments used were Health Utilities Index (HUI, 8.8 percent), the Rosser-Kind Index (6.3 percent), Quality of Well-Being (QWB, 6.3 percent), Short Form-6D (SF-6D, 5.0 percent), and 15D (2.5 percent). The rest (23.8 percent) used a direct valuation method: Time Trade-Off (10.0 percent), Standard Gamble (5.0 percent), visual analogue scale (5.0 percent), or rating scale (3.8 percent). The most frequently studied medical specialties were orthopedics (15.5 percent), pulmonary diseases (12.7 percent), and cardiology (9.9 percent). Ninety percent of the studies came from four countries: United Kingdom, United States, Canada, the Netherlands. Approximately half of the papers were methodologically high quality randomized trials. Forty-nine percent of the studied interventions were viewed by the authors of the original studies as being cost-effective; only 13 percent of interventions were deemed not to be cost-effective. CONCLUSIONS: Although QALYs gained are considered an important measure of effectiveness of health care, the number of studies in which QALYs are based on actual measurements of patients' HRQoL is still fairly limited.
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 | 0,027 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,006 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».