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Enregistrement W2507422854 · doi:10.1002/phar.1831

Community Pharmacists Assisting in Total Cardiovascular Health (CPATCH): A Cluster‐Randomized, Controlled Trial Testing a Focused Adherence Strategy Involving Community Pharmacies

2016· article· en· W2507422854 sur OpenAlexafffundabout
David Blackburn, Charity Evans, Dean T. Eurich, Kerry Mansell, Derek Jorgenson, Jeff Taylor, William Semchuk, Yvonne Shevchuk, Alfred J. Rémillard, David Tran, Anne Champagne

Notice bibliographique

RevuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueMedication Adherence and Compliance
Établissements canadiensGovernment of SaskatchewanRegina Qu'Appelle Health RegionMinistry of HealthUniversity of AlbertaUniversity of Saskatchewan
Organismes subventionnairesAstraZeneca CanadaGovernment of CanadaMerckUniversity of SaskatchewanPfizer
Mots-clésMedicinePharmacyRandomized controlled trialStatinMedical prescriptionIntervention (counseling)Family medicineMedication therapy managementHealth carePhysical therapyPharmacistNursingInternal medicine

Résumé

récupéré en direct d'OpenAlex

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,023
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,243
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0230,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,118
Tête enseignante GPT0,393
Écart entre enseignants0,275 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations20
Publié2016
Routes d'admission3
Résumé présentoui

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