Skip to main content
Western Journal of Emergency Medicine logoLink to Western Journal of Emergency Medicine
. 2015 Jan 6;16(1):62–66. doi: 10.5811/westjem.2014.12.22669

Descriptive Study of Prescriptions for Opioids from a Suburban Academic Emergency Department Before New York’s I-STOP Act

Lyncean Ung *,, Ronald Dvorkin , Steven Sattler *, David Yens ‡,§
PMCID: PMC4307728  PMID: 25671010

Abstract

Introduction

Controlled prescription opioid use is perceived as a national problem attributed to all specialties. Our objective was to provide a descriptive analysis of prescriptions written for controlled opioids from a database of emergency department (ED) visits prior to the enactment of the I-STOP law, which requires New York prescribers to consult the Prescription Monitoring Program (PMP) prior to prescribing Schedule II, III, and IV controlled substances for prescriptions of greater than five days duration.

Methods

We conducted a retrospective medical record review of patients 21 years of age and older, who presented to the ED between July 1, 2011 – June 30, 2012 and were given a prescription for a controlled opioid. Our primary purpose was to characterize each prescription as to the type of controlled substance, the quantity dispensed, and the duration of the prescription. We also looked at outliers, those patients who received prescriptions for longer than five days.

Results

A total of 9,502 prescriptions were written for opioids out of a total 63,143 prescriptions for 69,500 adult patients. Twenty-six (0.27%) of the prescriptions for controlled opioids were written for greater than five days. Most prescriptions were for five days or less (99.7%, 95% CI [99.6 to 99.8%]).

Conclusion

The vast majority of opioid prescriptions in our ED prior to the I-STOP legislature were limited to a five-day or less supply. These new regulations were meant to reduce the ED’s contribution to the rise of opioid related morbidity. This study suggests that the emergency physicians’ usual prescribing practices were negligibly limited by the new restrictive regulations. The ED may not be primarily contributing to the increase in opioid-related overdoses and death. The effect of the I-STOP regulation on future prescribing patterns in the ED remains to be determined.

INTRODUCTION

Pain is one of the most common chief complaints treated in the emergency department (ED), and for many years there has been a strong emphasis on addressing adequate pain control.1 Despite the increased importance placed on providing appropriate analgesia, emergency physicians (EP) continue to provide inadequate pain management.2 This practice may be related to the clinician’s awareness of the significant problems with drug dependence in the United States. There is an increase in the abuse of prescription drugs, specifically oxycodone and hydrocodone, and it far exceeds the increases in abuse of illicit substances, including marijuana, cocaine, and heroin.2

Even with attempts to reduce narcotic abuse and addiction, people continue to exhibit violent behaviors to obtain narcotics. Violent acts led the New York State Legislature to introduce a bill that enhanced the effectiveness of New York’s existing Prescription Monitoring Program (PMP) with the intention of reducing drug diversion.3 “The Internet System for Tracking Over-Prescribing (I-STOP) Act” established an online, real-time controlled substance reporting system that mandates physicians and pharmacists to search for and report certain data at the time a schedule II, III, IV, or V controlled substance prescription is issued and at the time such substance is dispensed.”4 It took effect in August of 2013. In New York, EPs are waived from the mandatory consultation of the PMP for prescriptions written for five days or less.

There is an association between the maximum prescribed daily dose by any physician and opioid overdose-related deaths, with higher opioid doses related to an increased risk of an opioid overdose death.513 Although multiple studies track the number of prescriptions written by EPs over a period of time, our literature search found no articles that examine the quantity of opioids prescribed to each individual patient during one visit. The duration of pain medications were not included in these particular studies.

We designed this descriptive study to assess the prescription patterns of EPs for opioids prior to the enactment of the New York I-STOP act in a single academic community ED on Long Island. Our expectation is that EPs had been prescribing no more than five days of controlled opioids even before the creation of the new legislation.

METHODS

This was a retrospective chart review to analyze the prescriptions for controlled opioids prior to the enactment of the I-STOP law. The study was conducted at a suburban academic community hospital ED with an annual census of approximately 95,000 patients. All patients older than 21 years are seen in an adult ED area (69,500).

The database search included all patients 21 and older who received a prescription for a controlled opioid at discharge between the dates of July 1, 2011 and June 30, 2012. We characterized each prescription as to the type of controlled opioid, the quantity dispensed, and the length of time for the prescription. Medical records with insufficient or inconsistent time stamps and/or other entries and patients who left prior to formal discharge were excluded. The data extracted included the following: hospital account number, age, sex, ethnicity, diagnosis, arrival date, time, and prescriptions written.

We abstracted the data from the electronic medical record (Allscripts ED™ - formerly Healthmatics A4™) for patients discharged from the ED with one or more prescriptions. This computerized patient charting and order entry system enables the collection of standardized information for each patient and integrates that information into a relational database and also has the advantage of generating prescriptions that were included in the medical record. The database was queried by SQL Cognos Impromptu™ (Cognos), which allows the administrator to create reports using criteria filters. Using the inclusion criteria, a report was created with Cognos that queried all patients seen in the ED who fit the criteria for study enrollment. This report was further analyzed by Microsoft Excel 2007. This method has been used and described in other studies.1416

The prescriptions analyzed were those written for opioids including hydrocodone, morphine, hydromorphone, and fentanyl (patches) as seen in Table 1. Tramadol was not analyzed, as it only has been considered a controlled substance in New York since August 27, 2012. We also excluded a cough syrup containing hydrocodone with homatropine in low dose (Hycodan®) because it was never prescribed in amounts of more than 120mL, which was equivalent to the total hydrocodone of 24 pills (a quantity usually of no more than five days as traditionally prescribed), and we could find little evidence for this significantly contributing to the epidemic of prescription drug abuse overdoses or deaths.

Table 1.

Percentage of opioid prescriptions written.

Opioids (n) % (No.) of prescriptions
Oxycodone 84.08% (8040)
Hydrocodone 14.47% (1324)
Morphine 0.02% (2)
Hydromorphone 1.24% (119)
Fentanyl 0.18% (17)

We calculated the number of days prescribed by using the number of doses prescribed, shortest recommended dosing frequency and converting this to the number of days the prescription would last (Figure 1). All patient charts that had a prescription of more than five days were manually reviewed.

Figure 1.

Figure 1

Analysis of prescriptions written in the emergency department.

*The prescriptions that were excluded as listed in the methods section include those written for patients who are less than 21 or have a malignancy and chronic inflammatory disease. Patients who also received Hycodan® were also excluded.

RESULTS

A total of 63,143 prescriptions were written between July 1, 2011 and June 30, 2012. The demographics are listed in Table 2. Of those prescriptions, 9,502 prescriptions were written for opioids. We excluded 71 prescriptions from the study because they were duplicates of the original prescription or lacking information on the prescription to calculate the number of days. Of the 9,502 prescriptions written that were included in our study, 99.7% already complied with the new regulations (95% CI [99.6 to 99.8%]). Twenty-six prescriptions (0.27%) were written for greater than five days as seen in Figure 2. Some were a result of larger intervals between each dose than typically recommended. For example, fentanyl usually is packaged in a box of five patches and each patch is used for three days at a time. The prescriptions written for greater than five days were categorized by diagnosis. A breakdown of the 26 outlying prescriptions and related diagnoses are provided in Figure 2 with their corresponding diagnoses. All written opioid prescriptions were further divided by the number of days they were written for, which is seen in Figure 3.

Table 2.

Demographics of patients receiving opioid versus non-opioid prescriptions.

Opioid All prescription
N 9,502 28,621
Mean age, y (SD) 44.9 (15.2) 44 (16.4)
Male (%) 42.8% 43.2%
White (%) 61.2% 61.5%

Figure 2.

Figure 2

Diagnosis of patients receiving opioid prescriptions for greater than 5 days (n=26).

Figure 3.

Figure 3

Breadkdown of opioid prescriptions into the number of days they were written for.

Our study found that prescriptions for opioids were usually for no more than five days in length and would have almost always complied with the new state regulations.

DISCUSSION

I-STOP made New York the first state in the nation to mandate that physicians consult a database of a patient’s prescription history before prescribing a schedule II, III, or IV controlled substance.17 Studies analyzing the impact of PMPs have been unanimous in regards to decreasing drug dependence and diversion by inhibiting growth in prescription sales for pain relievers. This act may further enhance the PMP’s goal; however, it can be hindering in an emergency setting. There is ongoing concern about EPs undertreating pain and the majority of emergency patients suffering from acute injury.

In the ED, pain management continues to be a significant complaint requiring practitioner attention as seen from the data of this study where approximately one-sixth of all prescriptions written were for opioid analgesics. As seen in numerous studies conducted previously, oxycodone continues to be the most commonly prescribed opioid (84%).15,1820 We were able to illustrate that in a large suburban, community ED, most physicians were prescribing five days or less worth of prescriptions for opioids, with the majority being for three days or less. This pattern could be affected by the presence of an electronic medical record (EMR) that has prebuilt prescriptions for a set number of pills. Even though prescriptions could be typed up individually with varying dosing and number of pills, it might be more efficient for a physician to select a prebuilt prescription.

Of the opioids considered in this study, short-acting oxycodone is still the most commonly prescribed opioid as well as the most commonly prescribed for greater than five days. The small number of patients who received more than five days’ worth of opioids had pain from acute musculoskeletal injuries, chronic low back pain, herniated disc, and diabetic neuropathy.

Giving ED physicians the privilege of providing opioid pain relievers without referring to the PMP permits them to function effectively in their environment. Our study shows that the EP already displays independent responsibility in opioid prescribing patterns. The PMP in theory may add little to reduce the amount of drug overdoses in the ED setting.

Prior to enactment of this legislation, EPs had not been giving prescriptions of opioids that were excessive and therefore not likely to be contributing to the rise of opioid overdoses and deaths in the community. Further regulations requiring the additional step of consulting a database before prescribing controlled opioids may have the potential to inhibit opioid prescriptions for acute pain and promulgate oligoanalgesia.

LIMITATIONS

Our study has several limitations. It was a retrospective study and has all the limitation therein. It was completed at a single suburban academic community hospital ED and therefore might not represent other communities or institutions. It cannot determine if the patient is “doctor-shopping” and visiting other EDs, doctors’ offices, or even the same ED but on subsequent days or weeks. We focused on the duration of opioid prescriptions written rather than the maximum concentration of the opioid all together or total per day. There is increased risk of overdose in patients receiving medically prescribed opioids at higher doses.513

Patients can still “doctor-shop,” and if an EP does not have a clinical suspicion for substance abuse, the small amounts of opioids given can supply an addiction from multiple sources. Furthermore, a patient’s inability to obtain a sufficient quantity of prescription opioids may lead them to solicit street drugs that have unregulated compositions adding to potentially worse adverse outcomes.

The study did not provide any data on the type of pain or response to initial treatment. It was not designed to determine whether pain was adequately treated. The results could be influenced by variations in individual provider practice, and the study did not control for the effect of clustering by individual providers. Providers in this department see patients on a next patient basis and do not choose the next patient to be seen, thus minimizing this type of selection bias.

Whether the implementation of this regulation will change the prescribing practices of physicians is not known and would be an interesting question to pursue.

CONCLUSION

The duration of opioids prescribed from one ED visit in this suburban, community Long Island ED prior to the I-STOP legislature was largely limited to five days or less. This suggests that EPs had been largely abiding with the spirit of the new bill prior to its drafting. Although the PMP might assist with abuse and dependency of opioids in this community, it remains unknown whether this will impact optimal prescribing practices for pain.

Footnotes

Supervising Section Editor: Joel Schofer, MD, MBA

Full text available through open access at http://escholarship.org/uc/uciem_westjem

Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. The authors disclosed none.

REFERENCES

  • 1.Burt CW, McCaig LF. Trends in hospital emergency department utilization: United States, 1992–99. Vital Health Stat. 2001;13(150):1–34. [PubMed] [Google Scholar]
  • 2.Blank FS, Mader TJ, Wolfe J, et al. Adequacy of pain assessment and pain relief and correlation of patient satisfaction in 68 ED fast-track patients. J Emerg Nurs. 2001;27(4):327–34. doi: 10.1067/men.2001.116648. [DOI] [PubMed] [Google Scholar]
  • 3.Zeldin L. In Light Of Medford Shooting, Zeldin Co-sponsors I-STOP Prescription Drug Legislation. [Accessed Nov 10, 2012]. [Google Scholar]
  • 4.Schneiderman E INTERNET SYSTEM for TRACKING OVER-PRESCRIBING (I-STOP) A Proposal Addressing New York’s Prescription Drug Abuse and Drug Diversion Epidemic. [Accessed Nov 10, 2012]. [Google Scholar]
  • 5.Dunn K. Opioid prescriptions for chronic pain and overdose. Ann Intern Med. 2010;152(2):85–92. doi: 10.1059/0003-4819-152-2-201001190-00006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bohnert AS, Valenstein M, Bair MJ, et al. Association between opioid prescribing patterns and opioid overdose-related deaths. JAMA. 2011;305(13):1315–21. doi: 10.1001/jama.2011.370. [DOI] [PubMed] [Google Scholar]
  • 7.Simeone R, Holland L. An evaluation of prescription drug monitoring programs. Simeone Associates, Inc; Albany, NY: [Accessed on Sept 11, 2012]. [Google Scholar]
  • 8.Gugelmann HM, Perrone J. Can prescription drug monitoring programs help limit opioid abuse? JAMA. 2011;306(20):2258–9. doi: 10.1001/jama.2011.1712. [DOI] [PubMed] [Google Scholar]
  • 9.Katz N, Panas L, Kim M, et al. Usefulness of prescription monitoring programs for surveillance—analysis of Schedule II opioid prescription data in Massachusetts, 1996–2006. Pharmacoepidemiol Drug Saf. 2010;19(2):115–23. doi: 10.1002/pds.1878. [DOI] [PubMed] [Google Scholar]
  • 10.Reifler LM, Droz D, Bailey JE, et al. Do prescription monitoring programs impact state trends in opioid abuse/misuse? Pain Med. 2012;13(3):434–42. doi: 10.1111/j.1526-4637.2012.01327.x. [DOI] [PubMed] [Google Scholar]
  • 11.Gomes T, Mamdani MM, Dhalla IA, et al. Opioid dose and drug-related mortality in patients with nonmalignant pain. Arch Intern Med. 2011;171(7):686–91. doi: 10.1001/archinternmed.2011.117. [DOI] [PubMed] [Google Scholar]
  • 12.Morita T, Tsunoda J, Inoue S, et al. Effects of high dose opioids and sedatives on survival in terminally ill cancer patients. J Pain Symptom Manage. 2001;21(4):282–9. [Google Scholar]
  • 13.Okie S. A flood of opioids, a rising tide of deaths. N Engl J Med. 2010;363(21):1981–5. doi: 10.1056/NEJMp1011512. [DOI] [PubMed] [Google Scholar]
  • 14.McGerald G, Dvorkin R, Levy D, et al. Prescriptions for schedule II opioids and benzodiazepines increase after the introduction of computer-generated prescriptions. Acad Emerg Med. 2009;16(6):508–12. doi: 10.1111/j.1553-2712.2009.00398.x. [DOI] [PubMed] [Google Scholar]
  • 15.Sharma AN, Dvorkin R, Tucker V, et al. Medical reconciliation in patients discharged from the emergency department. J Emerg Med. 2012;43(2):366–73. doi: 10.1016/j.jemermed.2011.05.080. [DOI] [PubMed] [Google Scholar]
  • 16.Dvorkin R, Bair J, Patel H, et al. Is Fever treated more promptly than pain in the pediatric emergency department? J Emerg Med. 2014;46(3):327–34. doi: 10.1016/j.jemermed.2013.08.063. [DOI] [PubMed] [Google Scholar]
  • 17.Seiler C. Prescription drug bill I-STOP passes both chambers. [Accessed Nov 10, 2012]. Available at: http://blog.timesunion.com/capitol/archives/135174/prescription-drug-bill-i-stop-passes-both-chambers/
  • 18.Baehren DF, Marco CA, Droz DE, et al. A statewide prescription monitoring program affects emergency department prescribing behaviors. Ann Emerg Med. 2010;56(1):19–23.e1. doi: 10.1016/j.annemergmed.2009.12.011. [DOI] [PubMed] [Google Scholar]
  • 19.Dhalla IA, Mamdani MM, Sivilotti ML, et al. Prescribing of opioid analgesics and related mortality before and after the introduction of long-acting oxycodone. CMAJ. 2009;181(12):891–6. doi: 10.1503/cmaj.090784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hoppe JA, Houghland J, Yaron M, et al. Prescription history of emergency department patients prescribed opioids. West J Emerg Med. 2013;14(3):247–52. doi: 10.5811/westjem.2012.2.6915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.NYACEP. Memo in opposition I-STOP. 2012. Mar 7, [Accessed Nov 10, 2012]. Available at: http://nyacep.org/content/111.
  • 22.Manchikanti L, Manchukonda R, Pampati V, et al. Evaluation of abuse of prescription and illicit drugs in chronic pain patients receiving short-acting (hydrocodone) or long-acting (methadone) opioids. Pain Physician. 2005;8(3):257–61. [PubMed] [Google Scholar]
  • 23.Duran A, Ylldırım O, Ocak T, et al. Respiratory arrest caused by abuse of fentanyl patch: a case report. Natl J Physiol Pharm Pharmacol. 2014;4(1):89–91. [Google Scholar]
  • 24.O’Leary T. McKinney’s Consolidated Laws of New York Annotated. 2014. [Accessed Nov 10, 2014]. [Google Scholar]
  • 25.Dasgupta N, Sanford CK, Albert S, et al. Opioid drug overdoses: a prescription for harm and potential for prevention. Am J Lifestyle Med. 2010;4:32–37. [Google Scholar]

Articles from Western Journal of Emergency Medicine are provided here courtesy of The University of California, Irvine

RESOURCES