Articles: emergency-services.
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Pediatric emergency care · Aug 2024
Process and Impact of Development of an Adolescent Emergency Psychiatry Unit at a Large Urban Hospital.
Boarding of adolescent patients with mental health concerns requiring ongoing observation and treatment is of increasing concern across US emergency departments. The objective was a proof of concept of developing an adolescent psychiatric emergency unit and assessment of the impact of this unit on lengths of stay (LOS). ⋯ Creation of an adolescent psychiatric emergency unit without allotment of significant additional resources is an option to decrease pediatric emergency department boarding times for adolescent patients requiring ongoing emergent therapy for mental health concerns.
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Opioid use disorder (OUD) is a significant health issue impacting millions in the United States (US). Medications used for OUD (MOUD) (e.g., buprenorphine, methadone, naltrexone) and medications for overdose and symptom management (e.g., naloxone, clonidine) have been shown to be safe and effective tools in clinical management. MOUD therapy in Emergency Departments (EDs) improves patient outcomes and enhances engagement with formal addiction treatment; however, provider factors and institutional barriers have created hurdles to ED-based MOUD treatment and heterogeneity in ED based OUD care. We used a nationally representative dataset, the National Hospital Ambulatory Medical Care Survey (NHAMCS) to characterize MOUD prescribing practices across patient demographics, geographic regions, payers, providers, and comorbidities in EDs. ⋯ Our study findings suggest that MOUD and other medications for opioid overdose are infrequently used in the ED setting. This finding was especially notable in race, geographic region, mode of arrival, and those seen by APP, underscoring the need for further study into the root causes of these disparities. Our study provides a foundational understanding of MOUD patterns, guiding future research as the landscape of OUD treatment continues to shift.
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A machine learning technology for addressing medication-related risk in older, multimorbid patients.
To evaluate the FeelBetter machine learning system's ability to accurately identify older patients with multimorbidity at Brigham and Women's Hospital at highest risk of medication-associated emergency department (ED) visits and hospitalizations, and to assess the system's ability to provide accurate medication recommendations for these patients. ⋯ The FeelBetter system effectively stratifies older patients with multimorbidity at risk of ED use and hospitalizations. Medication recommendations provided by the system are largely accurate and can potentially be beneficial for patient care.
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In the context of polysubstance use and fentanyl detection in non-opioid drugs supplies (e.g., cocaine, methamphetamine), it is important to re-evaluate and expand our understanding of which populations are at high risk for fatal drug overdoses. The primary objective of this pilot study was to gather data from the ED to characterize the population presenting with drug overdose, including demographics, drug use patterns and comorbidities, to inform upstream overdose prevention efforts. ⋯ This study demonstrated high rates of fentanyl exposure on toxicology testing at time of overdose across all participants including study participants without self-reported intentional opioid use. Data gathered in the ED at time of overdose can be used to inform upstream naloxone distribution and public health initiatives.
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Health-related social problems may be conceptualized as the presence of either a social risk (i.e., food insecurity as defined by a screening tool) or a social need (i.e., desire for referral to a food program). Identification of social risks may not correlate with patients' desire to receive help. This study aimed to identify and compare patients and families with social risks versus social needs in a pediatric emergency department. ⋯ Both social risks and self-identified social needs should be considered within social care interventions in the pediatric healthcare setting.