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    Which Chart Elements Accurately Identify Emergency Department Visits for Suicidal Ideation or Behavior

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    Authors
    Arias, Sarah A.
    Boudreaux, Edwin D
    Chen, Elizabeth
    Miller, Ivan
    Camargo, Carlos A. Jr.
    Jones, Richard N.
    Uebelacker, Lisa
    UMass Chan Affiliations
    Department of Emergency Medicine
    Document Type
    Journal Article
    Publication Date
    2019-06-11
    Keywords
    suicide
    electronic health records
    chart review
    emergency department
    Emergency Medicine
    Health Information Technology
    Health Services Administration
    Psychiatry
    Psychiatry and Psychology
    
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    Link to Full Text
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320303/
    Abstract
    In an emergency department (ED) sample, we investigated the concordance between identification of suicide-related visits through standardized comprehensive chart review versus a subset of 3 specific chart elements: ICD-9-CM codes, free-text presenting complaints, and free-text physician discharge diagnoses. The method for this study was review of medical records for adults ( > /=18 years) at 8 EDs across the United States. A total of 3,776 charts were reviewed. A combination of the 3 chart elements (ICD-9-CM, presenting complaints, and discharge diagnoses) provided the most robust data with 85% sensitivity, 96% specificity, 92% PPV, and 92% NPV. These findings highlight the use of key discrete fields in the medical record that can be extracted to facilitate identification of whether an ED visit was suicide-related.
    Source

    Arias SA, Boudreaux ED, Chen E, Miller I, Camargo CA Jr, Jones RN, Uebelacker L. Which Chart Elements Accurately Identify Emergency Department Visits for Suicidal Ideation or Behavior? Arch Suicide Res. 2019 Jul-Sep;23(3):382-390. doi: 10.1080/13811118.2018.1472691. Epub 2019 Jun 11. PMID: 29791300; PMCID: PMC6320303. Link to article on publisher's site

    DOI
    10.1080/13811118.2018.1472691
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/29572
    PubMed ID
    29791300
    Related Resources

    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1080/13811118.2018.1472691
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    UMass Chan Faculty and Researcher Publications
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