谷歌Chrome浏览器插件
订阅小程序
在清言上使用

Benzodiazepine Discharge Prescriptions from Emergency Departments across the United States between 2012 and 2019: A National Analysis

Journal of Addiction Medicine(2024)

引用 0|浏览3
暂无评分
摘要
Objectives Benzodiazepines are commonly misused medications frequently implicated in overdose deaths. Data show that benzodiazepine prescribing is associated with increased misuse. We sought to determine national trends in benzodiazepine prescribing from the emergency department (ED). Methods This is a retrospective review of the National Hospital Ambulatory Medical Care Survey from 2012 to 2019. Our primary outcome was to evaluate trends in ED visits where a benzodiazepine was prescribed at discharge. Secondarily, we identified commonly prescribed benzodiazepines and assessed trends over time. We examined demographic data and used descriptive statistics and Spearman rho or Pearson correlation coefficient as applicable. Results Between 2012 and 2019, there were 13,848,578 visits where benzodiazepines were prescribed at ED discharge. In 2012 and 2019, there were 1,407,478 visits (1.1% of all ED visits) and 1,361,372 visits (0.9%), respectively, where benzodiazepines were prescribed (mean [SD], 1,731,072 [287,623] [1.26%]), with no trend (P = 0.31). Common benzodiazepines prescribed were diazepam (5,980,279 visits, 43.2% of all prescriptions), alprazolam (3,306,549, 23.9%), and clonazepam (2,105,963, 15.2%), with no changes over time. Fifteen percent of prescriptions were for patients 65 years or older. Conclusion Despite reports of increased misuse, there was no change in ED discharge benzodiazepine prescribing. Concerningly, alprazolam, a benzodiazepine with high misuse potential, was frequently prescribed despite limited ED indications, and there was a large percentage of visits where benzodiazepines were prescribed to older adults despite warnings for adverse effects in this population. Future studies should assess rational prescribing and the role of targeted interventions to curb inappropriate use.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要