• Am J Emerg Med · Mar 2022

    Data mining-based clinical profiles of substance use-related emergency department utilizers.

    • Kristina Monti, Keren Bachi, Madeline Gray, Vibhor Mahajan, Gabrielle Sweeney, Anna M Oprescu, Kevin G Munjal, Yasmin L Hurd, and Sabina Lim.
    • Addiction Institute of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    • Am J Emerg Med. 2022 Mar 1; 53: 104111104-111.

    ObjectiveSubstance-use is a prevalent presentation to the emergency department (ED); however, the clinical characterization of patients who are treated and discharged without admission for further treatment is under-investigated. The study aims to define and characterize the clinical profiles of this patient population.MethodsPatients' presentations were examined by clinical data mining (chart review) of ED records of substance use-related events of individuals discharged without admission for further treatment. Records (N = 199) from three major hospitals in New York City from March and June 2017 were randomly sampled with primary diagnosis of alcohol, opioid-related and other psychoactive substance-use presentations. Qualitative thematic coding of clinical presentation with inter-rater reliability was performed. Quantitative distinctive validity tested independence through Pearson's chi-squared and analysis of variance using Fisher's F-test.ResultsSix distinct clinical profiles were identified, including, High Utilizers (chronically intoxicated with comorbid health conditions) (36.7%), Single Episode (20.1%), Service Request (14.1%), Altered Mental Status (13.6%), Overdose (9.0%), and Withdrawal (7.5%). The profiles differed (p < 0.05) in age, housing status, payor, mode of arrival, referral source, index visit time, prescribed treatment, triage acuity level, psychiatric history, and medical history. Differences (p < 0.05) between groups across clinical profiles in age and pain level at triage were observed.ConclusionsThe identified clinical profiles represent the broad spectrum and complex nature of substance use-related ED utilization, highlighting critical factors of psychosocial and mental-health comorbidities. These findings provide a preliminary foundation to support person-centered interventions to decrease substance use-related ED utilization and to increase engagement/linkage of patients to addiction treatment.Copyright © 2022 Elsevier Inc. All rights reserved.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…