• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • Pharmacy Student Research Projects
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • Pharmacy Student Research Projects
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Impact of Off Label Medication Use in Pediatric Readmissions

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Author
    Limke, Katie
    Cash, Courtney
    Robertson, Rick
    Phan, Hanna
    Affiliation
    College of Pharmacy, The University of Arizona
    Issue Date
    2016
    Keywords
    Pediatric
    Medication
    off label
    Readmissions
    MeSH Subjects
    Off-Label Use
    Pediatrics
    Patient Readmissions
    Advisor
    Phan, Hanna
    
    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: The specific aims of this study were: 1) describe the frequency of off-label medication use in pediatric discharge medication regimens, 2) compare the frequency of FDA-approved and off-label medication use in pediatric discharge medication regimens, and 3) identify potential patient-specific risk factors, including use off-label use of medications, associated with 90-day readmission. Methods: This was a retrospective chart review of pediatric patients admitted to a tertiary academic medical center during a 6-month period. Inclusion criteria included age less than 18 years of age and admission between January 1, 2014 and June 30, 2014. Exclusion criteria included admission for oncology chemotherapy, admitted < 24 hours, admission to NICU only and patient expiration prior to discharge. Data collection included patient demographics, types and number of medications, and FDA approved and off-label indication of medications. Data analyses were completed on STATA 11.0 (College Station, TX) including student t-test/Mann Whitney U and Chi square/Fisher Exact test with a priori of α= 0.05. Results: A total of 706 admissions were included in the study. There were no significant differences in demographic characteristics between groups (readmitted within 90 days of discharge vs. not readmitted within 90 days of discharge) except sex (males vs. females, 56.3% vs. 44.2%, p=0.034). Length of hospital stay was significantly higher in subjects readmitted within 90 days of discharge compared to those who were not (8.55 ± 12.5 vs. 3.79 ± 4.43 days, p<0.001). Number of medications at discharge (7.31 ± 5.92 vs. 2.91 ± 2.93, p<0.001) and total number of non-FDA approved medications (3.16 ± 3.81 vs. 1.12 ± 1.44, p<0.001) were all significantly higher in subjects readmitted within 90 days of discharge compared to those who were not. The percentages of patients taking medications related to cardiovascular (6.1% vs. 2.4%, p=0.002), electrolytes and nutrition (12.2% vs. 8.5%, p=0.007), and gastrointestinal (19.2% vs. 14.3%, p=0.004) disorders were significantly higher in the subjects readmitted within 90 days of discharge compared to those who were not. Additonally, subjects readmitted within 90 days of discharge (versus those not readmitted within 90 days) demonstrated less use of medications related to neurology (17.7% vs. 25.8%, p<0.001) and respiratory (16.4% vs. 21.4%, p=0.008) disorders. A significantly higher percentage of subjects whose third party payor was Medicaid, were readmitted within 90-days of discharge (69.7% vs. 58.3, p=0.045). Conclusions: In comparing several characteristics of pediatric patients readmitted to a tertiary medical center within 90 days of discharge versus those who were not, it was noted that several factors may be associated with readmission, including: sex, length of initial hospital stay, third-party payor, and the number of medications as well as the types of medication a patient takes. Future research may be warranted to further investigate these potential patient-specific factors in helping identify children at increased risk for readmission and develop more effective approaches to patient education, discharge planning, and continuity of care to reduce preventable readmission.
    Description
    Class of 2016 Abstract
    Collections
    Pharmacy Student Research Projects

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.