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Abstract Background Self-discharge is a risk factor for readmission and excess mortality. We assess the rate of self-discharge from the emergency department (ED) among presentations for acute recreational drug toxicity and identify factors associated with self-discharge. Methods From the Euro-DEN Plus database of presentations to the ED with acute recreational drug toxicity, we extracted data from 11 centres in seven European countries from 2014 to 2017. Self-discharge was defined as taking one’s own discharge or escaping from the ED before being medically cleared. We used multiple logistic regression analyses to look for factors associated with self-discharge. Results Among 15,135 included presentations, 1807 (11.9%) self-discharged. Self-discharge rates varied from 1.7 to 17.1% between centres. Synthetic cannabinoids were associated with self-discharge, adjusted odds ratio 1.44 (95% confidence interval 1.10–1.89), as were heroin, 1.44 (1.26–1.64), agitation, 1.27 (1.10–1.46), and naloxone treatment, 1.27 (1.07–1.51), while sedation protected from self-discharge, 0.38 (0.30–0.48). Conclusion One in eight presentations self-discharged. There was a large variation in self-discharge rates across the participating centres, possibly partly reflecting different discharge procedures and practices. Measures to improve the management of agitation and cautious administration of naloxone to avoid opioid withdrawal symptoms may be approaches worth exploring to reduce self-discharge.

Background: Self-discharge is a risk factor for readmission and excess mortality. We assess the rate of self-discharge from the emergency department (ED) among presentations for acute recreational drug toxicity and identify factors associated with self-discharge. Methods: From the Euro-DEN Plus database of presentations to the ED with acute recreational drug toxicity, we extracted data from 11 centres in seven European countries from 2014 to 2017. Self-discharge was defined as taking one's own discharge or escaping from the ED before being medically cleared. We used multiple logistic regression analyses to look for factors associated with self-discharge. Results: Among 15,135 included presentations, 1807 (11.9%) self-discharged. Self-discharge rates varied from 1.7 to 17.1% between centres. Synthetic cannabinoids were associated with self-discharge, adjusted odds ratio 1.44 (95% confidence interval 1.10–1.89), as were heroin, 1.44 (1.26–1.64), agitation, 1.27 (1.10–1.46), and naloxone treatment, 1.27 (1.07–1.51), while sedation protected from self-discharge, 0.38 (0.30–0.48). Conclusion: One in eight presentations self-discharged. There was a large variation in self-discharge rates across the participating centres, possibly partly reflecting different discharge procedures and practices. Measures to improve the management of agitation and cautious administration of naloxone to avoid opioid withdrawal symptoms may be approaches worth exploring to reduce self-discharge. [ABSTRACT FROM AUTHOR]

Objective: This study identifies reasons and predictors of LWBS and examines outcomes of patients in a model that uses "point-of-service" (POS) collection for low acuity patients.Methods: This was a matched case-control study of all patients who left without being seen from the ED of a tertiary care center in Beirut Lebanon between June 2016 and May 2017. Matching was done for the ESI score, date and time (±2 h). A descriptive analysis and a bivariate analysis were conducted comparing patients who LWBS and those who completed their medical treatment. This was followed by a Logistic regression to identify predictors of LWBS.Results: 133 LWBS cases and 133 matched controls were enrolled in the study. Mean age for LWBS patients was (31.69 ± 15.29). The average reported wait time of LWBS patients was reported as 27.48 min (±25.09). Reasons for LWBS were; non-compensable status (66.9%), financial reasons (12.8%), long waiting times (12.8%), and others (8.3%). The majority of LWBS patients (81.2%) sought medical care after leaving the ED, and 8.3% of the LWBS patients represented to the ED after 48 h. Important predictors of LWBS included male gender, lower than undergraduate education level, waiting room time, non-compensable coverage status and fewer ED visits in the past year.Conclusion: In an ED setting with POS collection for low acuity patients, non-compensable coverage status was the strongest predictor for LWBS. Further studies are needed to assess the outcomes of patients who LWBS in this model of care. [ABSTRACT FROM AUTHOR]