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DOI 10.1016/j.ajem.2021.12.059

Медицинская библиотека · The American journal of emergency medicine · 2021

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

Monti Kristina, Bachi Keren, Gray Madeline, Mahajan Vibhor, Sweeney Gabrielle, Oprescu Anna M, Munjal Kevin G, Hurd Yasmin L, Lim Sabina

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Аннотация

OBJECTIVE

Substance-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.

METHODS

Patients' 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.

RESULTS

Six 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.

CONCLUSIONS

The 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.

Для цитирования: Monti Kristina, Bachi Keren, Gray Madeline, Mahajan Vibhor, Sweeney Gabrielle, Oprescu Anna M, Munjal Kevin G, Hurd Yasmin L, Lim Sabina. Data mining-based clinical profiles of substance use-related emergency department utilizers.. The American journal of emergency medicine. 2021. DOI: 10.1016/j.ajem.2021.12.059.

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