Epidemiology of back pain visits and medication usage among United States emergency departments from 2016 to 2023

Introduction: Low back pain is a common reason for presentation to the Emergency Department (ED). However, there are limited large-scale, recent data on the epidemiology, disposition, and medication administration for this condition. The objective of this was to assess the incidence, admission rates, medication administrations, and discharge prescriptions among ED visits for low back pain in the United States. Methods: This was a cross-sectional study of ED presentations for low back pain from 1/1/2016 to 12/31/2023 using the Epic Cosmos database. All ED visits for adults with low back pain identified by ICD-10 codes were included. Outcomes included admission rates, distribution of opioid, benzodiazepine, (non-benzodiazepine) muscle relaxant, acetaminophen, NSAID, and corticosteroid medications administered in the ED, and distribution of opioid, benzodiazepine, muscle relaxant, and corticosteroid medications given upon discharge. Subgroup analyses were performed by specific medication. Results: Of 207,154,419 ED encounters, 12,241,240 (5.9%) were due to back pain with 1,957,299 of these (16.0%) admitted. The admission rate increased over time from 12.8% to 17.1%. The most common medication given in the ED was opioids (40.7%), followed by acetaminophen (37.8%), NSAIDs (22.6%), muscle relaxants (18.4%) benzodiazepines (12.8%), and corticosteroids (5.5%). The most common medications prescribed upon discharge were muscle relaxants (32.1%), followed by opioids (23.2%), corticosteroids (12.2%), and benzodiazepines (3.0%). Conclusion: Low back pain represents a common reason for presentation to the ED, and admissions have been increasing over time. Opioids remain the most common ED medication, whereas muscle relaxants have arisen as the most common discharge prescription. These findings can help inform health policy decisions, resource allocation, and evidence-based interventions for medication administration. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.