A Retrospective Analysis of the Outcomes of Smoking Cessation Pharmacotherapy Among Persons With Mental Health and Substance Use Disorders
Notice bibliographique
Résumé
Objectives: It is common practice to individualize smoking cessation pharmacotherapy based on clinical judgment and patient response. However, little has been documented about the use and outcomes of smoking cessation pharmacotherapy in real-world settings. This study examines factors associated with using smoking cessation pharmacotherapy and related outcomes among smokers with psychiatric and/or substance use disorders who completed an intensive tobacco treatment program within mental health and addiction services settings in Vancouver, Canada. Methods: A retrospective analysis was used to examine combined program participation data (N = 889) from two tobacco treatment programs (i.e., the Tobacco Dependence Clinic and the Butt Out group) between September 2007 and July 2013. Changes in smoking cessation pharmacotherapy from the initial to final treatment and seven-day point prevalence of smoking abstinence (verified by expired carbon monoxide) were assessed at the end of treatment. Results: During treatment, 60% of participants remained on the initial pharmacotherapy plan, 30% received adjunctive treatment, and 10% had treatment plans that were switched. Those whose pharmacotherapy was switched had higher cigarette consumption and nicotine dependence at baseline and were less likely to have a psychiatric disorder history. When comparing between pharmacotherapy groups, individuals who switched medications were less likely to achieve abstinence at the end of treatment as compared to those whose medication treatment plans remained the same or who received adjunctive treatment (unchanged = 36.8%, adjunctive = 38.1% vs. switched = 20.9%, χ2 = 9.59, df = 2, p = .008). In multivariate regression analysis, switching pharmacotherapy was associated with lower smoking cessation (OR = .33, 95% CI [.17, .63]) and significantly mediated the effectiveness of pharmacotherapy. As there were differences in medication switching rates at the clinical level, there were limitations in assessing the impact of mental illness or substance use disorder variables. Conclusions: At least 40% of individuals may have their smoking cessation pharmacotherapy plan changed during treatment. Switching pharmacotherapy may indicate a subgroup of smokers characterized by greater challenges in smoking cessation. Our findings may enhance algorithms for using smoking cessation pharmacotherapy in clinical practice and provide directions for future research in treating tobacco use disorder among individuals with mental health and substance use disorders.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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) | 0,000 | 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 ».