• Login
    View Item 
    •   Home
    • UMass Chan Departments, Programs and Centers
    • UMass Center for Clinical and Translational Science
    • UMass Center for Clinical and Translational Science Supported Publications
    • View Item
    •   Home
    • UMass Chan Departments, Programs and Centers
    • UMass Center for Clinical and Translational Science
    • UMass Center for Clinical and Translational Science Supported Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of eScholarship@UMassChanCommunitiesPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsThis CollectionPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywords

    My Account

    LoginRegister

    Help

    AboutSubmission GuidelinesData Deposit PolicySearchingAccessibilityTerms of UseWebsite Migration FAQ

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Digital Pills to Measure Opioid Ingestion Patterns in Emergency Department Patients With Acute Fracture Pain: A Pilot Study

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    fc_xsltGalley_7050_111400_25_PB.pdf
    Size:
    1012.Kb
    Format:
    PDF
    Download
    Authors
    Chai, Peter R.
    Carreiro, Stephanie
    Innes, Brendan J.
    Rosen, Rochelle K.
    O'Cleirigh, Conall
    Mayer, Kenneth
    Boyer, Edward W.
    UMass Chan Affiliations
    School of Medicine
    Division of Medical Toxicology, Department of Emergency Medicine
    Document Type
    Journal Article
    Publication Date
    2017-01-13
    Keywords
    UMCCTS funding
    digital health
    digital pills
    emergency medicine
    medication adherence
    opioid
    pain management
    Emergency Medicine
    Health Information Technology
    Medical Toxicology
    Substance Abuse and Addiction
    Translational Medical Research
    Show allShow less
    
    Metadata
    Show full item record
    Link to Full Text
    https://doi.org/10.2196/jmir.7050
    Abstract
    BACKGROUND: Nonadherence to prescribed regimens for opioid analgesic agents contributes to increasing opioid abuse and overdose death. Opioids are frequently prescribed on an as-needed basis, placing the responsibility to determine opioid dose and frequency with the patient. There is wide variability in physician prescribing patterns because of the lack of data describing how patients actually use as-needed opioid analgesics. Digital pill systems have a radiofrequency emitter that directly measures medication ingestion events, and they provide an opportunity to discover the dose, timing, and duration of opioid therapy. OBJECTIVE: The purpose of this study was to determine the feasibility of a novel digital pill system to measure as-needed opioid ingestion patterns in patients discharged from the emergency department (ED) after an acute bony fracture. METHODS: We used a digital pill with individuals who presented to a teaching hospital ED with an acute extremity fracture. The digital pill consisted of a digital radiofrequency emitter within a standard gelatin capsule that encapsulated an oxycodone tablet. When ingested, the gastric chloride ion gradient activated the digital pill, transmitting a radiofrequency signal that was received by a hip-worn receiver, which then transmitted the ingestion data to a cloud-based server. After a brief, hands-on training session in the ED, study participants were discharged home and used the digital pill system to ingest oxycodone prescribed as needed for pain for one week. We conducted pill counts to verify digital pill data and open-ended interviews with participants at their follow-up appointment with orthopedics or at one week after enrollment in the study to determine the knowledge, attitudes, beliefs, and practices regarding digital pills. We analyzed open-ended interviews using applied thematic analysis. RESULTS: We recruited 10 study participants and recorded 96 ingestion events (87.3%, 96/110 accuracy). Study participants reported being able to operate all aspects of the digital pill system after their training. Two participants stopped using the digital pill, reporting they were in too much pain to focus on the novel technology. The digital pill system detected multiple simultaneous ingestion events by the digital pill system. Participants ingested a mean 8 (SD 5) digital pills during the study period and four participants continued on opioids at the end of the study period. After interacting with the digital pill system in the real world, participants found the system highly acceptable (80%, 8/10) and reported a willingness to continue to use a digital pill to improve medication adherence monitoring (90%, 9/10). CONCLUSIONS: The digital pill is a feasible method to measure real-time opioid ingestion patterns in individuals with acute pain and to develop real-time interventions if opioid abuse is detected. Deploying digital pills is possible through the ED with a short instructional course. Patients who used the digital pill accepted the technology.
    Source
    J Med Internet Res. 2017 Jan 13;19(1):e19. doi: 10.2196/jmir.7050. Link to article on publisher's site
    DOI
    10.2196/jmir.7050
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/50272
    PubMed ID
    28087496
    Related Resources
    Link to Article in PubMed
    Rights
    Copyright © Peter R Chai, Stephanie Carreiro, Brendan J Innes, Rochelle K Rosen, Conall O'Cleirigh, Kenneth H Mayer, Edward W Boyer. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.01.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited.
    ae974a485f413a2113503eed53cd6c53
    10.2196/jmir.7050
    Scopus Count
    Collections
    T.H. Chan School of Medicine Student Publications
    UMass Center for Clinical and Translational Science Supported Publications
    Emergency Medicine Publications

    entitlement

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Lamar Soutter Library, UMass Chan Medical School | 55 Lake Avenue North | Worcester, MA 01655 USA
    Quick Guide | escholarship@umassmed.edu
    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.