Cost of prescribed NSAID‐related gastrointestinal adverse events in elderly patients
Notice bibliographique
Résumé
AIMS: It is well established that nonsteroidal anti-inflammatory drugs (NSAIDs) have gastrointestinal (GI) side-effects. However, the cost of health care resources spent on preventing and managing these side-effects is not clear. The objective of this study was to estimate the direct cost of NSAID-related GI events in an elderly population. METHODS: From the Régie de l'assurance-maladie du Québec (RAMQ) database, we obtained medical, pharmaceutical and demographic records of a 10% random sample (n = 49 033) of seniors who, between January 1, 1993 and December 31, 1997, had a dispensed prescription of a NSAID. Patients who did not have any GI events during the year prior to their first dispensed prescription were included in the cohort. All patients were followed-up for 2 years. The daily direct Canadian dollar costs of GI events that were incurred by these patients while they were on NSAID therapy were compared with those of GI events that were incurred by these same patients while they were not on NSAID therapy. The difference in these daily costs was attributed to NSAIDs. RESULTS: A total of 12 082 new NSAID users were included in the study. Two hundred and seventeen (1.8%) were hospitalized for GI-related problems; of these, 130 (60%) had their GI hospitalization as their first GI event; 3257 (27.0%) used gastroprotective agents (GPAs), and 857 (26.3%) took GPAs without any apparent prior GI symptoms; 801 (6.6%) had GI diagnostic tests; and 661 (5.5%) died. The average direct costs of GI side-effects per patient-day on NSAIDs were 3.5 times higher than those of a patient-day not on NSAIDs. The direct cost of GI side-effects per patient-day on NSAIDs was $1.34, of which more than 70% ($0.94) was attributed to GI events resulting from NSAID treatment. CONCLUSIONS: Approximately one Canadian dollar was added to patient costs for every day he/she was on NSAID therapy. Safer therapies and appropriate patient risk management may potentially reduce NSAID-related health care resource use.
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 | 0,002 | 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».