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    Second Generation Antipsychotic Prescribing Patterns in an Acute Inpatient Psychiatric Setting

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    Author
    Lad, Raina
    Maymana, Nisha
    Kuber, Trishna
    Goldstone, Lisa
    Affiliation
    College of Pharmacy, The University of Arizona
    Issue Date
    2016
    Keywords
    Second generation
    antipsychotic
    inpatient
    acute
    prescribing
    MeSH Subjects
    Antipsychotic Agents
    Practice Patterns, Physicians'
    Advisor
    Goldstone, Lisa
    
    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, Librarian and Clinical Instructor, Pharmacy Practice and Science, jenmartin@email.arizona.edu.
    Publisher
    The University of Arizona.
    Abstract
    Objectives: To determine if prescribers took into consideration patients’ metabolic risk factors when prescribing a low, medium or high risk second generation antipsychotic and if non-metabolic risk factors influenced prescribing. Methods: Adults 18 years or older who were admitted to an acute inpatient psychiatry unit and ordered at least one SGA were included in the study. Each patient’s metabolic syndrome risk score was determined using retrospective chart review and they were subsequently divided into low or high-risk groups. Clozapine and olanzapine were categorized as high risk for causing weight gain and diabetes, risperidone and quetiapine were moderate risk, and all others were considered low risk. A chi square test compared the two groups in regard to type of SGA selected, gender, and race, while an independent t-test analyzed the differences in age. Results: 300 patients were analyzed and divided into high (n=57) and low (n=253) risk groups. For the low risk group, 10.7%, 55.1%, and 34.2% were prescribed a low, moderate, or high risk SGA, respectively. For the high-risk group 17.5%, 56.1%, and 26.3% were prescribed a low, moderate, or high risk SGA, respectively. The type of SGA selected was not significantly different between the groups (p=0.262). Equivalence was shown between the two groups in terms of gender and race (p=0.68, p=0.65 respectively). Age was significantly different (p< 0.01). Conclusions: Prescribers may not consider metabolic risk factors when prescribing high risk SGAs such as clozapine and olanzapine.
    Description
    Class of 2016 Abstract
    Collections
    Pharmacy Student Research Projects

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