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Prescriptions for Schedule II Opioids and Benzodiazepines Increase after the Introduction of Computer‐generated Prescriptions
Author(s) -
McGerald Genevieve,
Dvorkin Ronald,
Levy David,
LovellRose Stephanie,
Sharma Adhi
Publication year - 2009
Publication title -
academic emergency medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.221
H-Index - 124
eISSN - 1553-2712
pISSN - 1069-6563
DOI - 10.1111/j.1553-2712.2009.00398.x
Subject(s) - medicine , medical prescription , confidence interval , emergency department , emergency medicine , odds ratio , controlled substance , psychiatry , pharmacology
Background: Prescriptions for controlled substances decrease when regulatory barriers are put in place. The converse has not been studied. Objectives: The objective was to determine whether a less complicated prescription writing process is associated with a change in the prescribing patterns of controlled substances in the emergency department (ED). Methods: The authors conducted a retrospective nonconcurrent cohort study of all patients seen in an adult ED between April 19, 2005, and April 18, 2007, who were discharged with a prescription. Prior to April 19, 2006, a specialized prescription form stored in a locked cabinet was obtained from the nursing staff to write a prescription for benzodiazepines or Schedule II opioids. After April 19, 2006, New York State mandated that all prescriptions, regardless of schedule classification, be generated on a specialized bar‐coded prescription form. The main outcome of the study was to compare the proportion of Schedule III–V opioids to Schedule II opioids and benzodiazepines prescribed in the ED before and after the introduction of a less cumbersome prescription writing process. Results: Of the 26,638 charts reviewed, 2.1% of the total number of prescriptions generated were for a Schedule II controlled opioid before the new system was implemented compared to 13.6% after (odds ratio [OR] = 7.3, 95% confidence interval [CI] = 6.4 to 8.4). The corresponding percentages for Schedule III–V opioids were 29.9% to 18.1% (OR = 0.52, 95% CI = 0.49 to 0.55) and for benzodiazepines 1.4% to 3.9% (OR = 2.8, 95% CI = 2.4 to 3.4). Conclusions: Patients were more likely to receive a prescription for a Schedule II opioid or a benzodiazepine after a more streamlined computer‐generated prescription writing process was introduced in this ED.