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    Using Meta-Analysis to Explore the Factors Affecting the Potency of Pharmacists’ Patient Interventions

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    Author
    Chau, Bach-Truc
    Vo, Trang
    Yuan-Lee, Ling
    Lee, Jeannie
    Martin, Jennifer
    Slack, Marion
    Affiliation
    College of Pharmacy, The University of Arizona
    Issue Date
    2014
    Keywords
    meta-analysis
    interventions
    pharmacists’
    Mesh
    MeSH Subjects
    Early Medical Intervention
    Pharmacists
    Advisor
    Lee, Jeannie
    Martin, Jennifer
    Slack, Marion
    
    Metadata
    Show full item record
    Rights
    Copyright © is held by the author.
    Collection Information
    This item is part of the Pharmacy Student Research Projects collection, made available by the College of Pharmacy and the University Libraries at the University of Arizona. For more information about items in this collection, please contact Jennifer Martin, Associate Librarian and Clinical Instructor, Pharmacy Practice and Science, jenmartin@email.arizona.edu.
    Publisher
    The University of Arizona.
    Abstract
    Specific Aims: To identify the factors that affects the potency of pharmacists’ interventions. Methods: Literature search was based on keywords and Mesh terms in eight different databases. The inclusion criteria were evidence of pharmacist involvement in direct patient care, patient-related therapeutic outcomes, studies done in the United States, randomized controlled trials, studies with reported number of subjects in the intervention and control group and reported means and standard deviations of therapeutic outcomes. For the study selection and data extraction, two students independently reviewed each study and met to resolve any discrepancies. In addition, each study was assigned a potency score using the potency tool. Data extraction included: pharmacists’ interventions (technical, behavioral, educational, and affective), patient characteristics, and therapeutic outcomes. The standardized mean difference (SMD) was calculated; studies with SMD ≥ -0.3 formed the low impact group (controls) and studies with SMD  -0.8 formed the high impact group (cases). Main Results: The included randomized control trials (N=11) were conducted in a variety of settings from ambulatory clinics to hospital. The high impact group was favored in the educational category (ES=0.88, p=0.18) while the low impact group was favored in the behavioral category (ES=-0.19, p=0.81). In general, there was a difference between the high impact and low impact (ES=0.82, p=0.37) groups with the high impact group being favored. Conclusion: There is a difference between the low impact and high impact groups, but it is unclear which pharmacist interventions have a significant impact on therapeutic outcomes.
    Description
    Class of 2014 Abstract
    Collections
    Pharmacy Student Research Projects

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