Community Pharmacists Assisting in Total Cardiovascular Health (CPATCH): A Cluster‐Randomized, Controlled Trial Testing a Focused Adherence Strategy Involving Community Pharmacies
Notice bibliographique
Résumé
STUDY OBJECTIVE: To test a brief intervention for preventing statin nonadherence among community pharmacy patrons. DESIGN: Prospective, cluster-randomized, controlled trial (the Community Pharmacists Assisting in Total Cardiovascular Health [CPATCH] trial). SETTING: Thirty community pharmacies in Saskatchewan, Canada. PATIENTS: Participating pharmacies were randomized to 15 intervention pharmacies where a brief statin adherence intervention was delivered by pharmacists (intervention group [907 patients]) or 15 usual care pharmacies where no statin adherence intervention was delivered (usual care group [999 patients]) to new users of statins (defined as less than 1 yr of statin therapy). INTERVENTION: Staff (pharmacy managers, staff pharmacists, and technicians) from intervention pharmacies attended a 2.5-hour workshop on the CPATCH program that prepared pharmacists to deal with the adherence barriers most likely associated with statin use (e.g., safety, cost, patient-provider relationship, and tolerability). Intervention pharmacists screened for new statin users and assessed these adherence barriers. Pharmacists were then instructed to tailor their follow-up plan based on the individual patient's situation. Investigators contacted the intervention pharmacies monthly to assess their compliance with the protocol and to offer additional support to motivate ongoing participation. MEASUREMENTS AND MAIN RESULTS: The primary outcome was mean difference in statin adherence between the intervention and usual care groups. Adherence was measured by the proportion of days covered (PDC) between 6 and 12 months following the original prescription fill date. General estimating equations were used to evaluate the difference in mean adherence between groups. Secondary outcomes included the percentage of new statin users exhibiting optimal adherence (defined as PDC of 80% or higher) and the percentage exhibiting nonpersistence (defined as the cessation of all statin dispensations within 3 mo of the first dispensation). Among 1906 eligible patients, no significant differences in mean adherence were observed between those receiving the intervention and those receiving usual care (71.6% vs 70.9%, p=0.64), the percentage of patients achieving optimal adherence (57.3% vs 55.9%, p=0.51), or the percentage exhibiting nonpersistence (9.4% vs 8.3%, p=0.41). However, compliance to the study protocol was extremely low in several intervention pharmacies. In a post hoc analysis, a higher level of protocol compliance among intervention pharmacies was significantly associated with higher adherence (p<0.01 for trend). Pharmacies falling in the highest tertile of compliance to the study protocol exhibited higher mean adherence among their patients compared with those in the usual care group (β = 0.056, 95% confidence interval [CI] 0.010-0.101, p=0.01), and a significantly higher percentage of patients achieving optimal adherence (odds ratio 1.32, 95% CI 1.08-1.61; p<0.01); however, nonpersistence did not significantly differ between the two groups (5.5% vs 8.3%, p=0.27). CONCLUSION: The CPATCH intervention was ineffective for improving patient adherence to statin therapy in community pharmacies. However, poor effectiveness may have resulted from a failure to deliver the protocol consistently in several intervention pharmacies.
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 | 0,003 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».