Dataset Information

Opioid Prescribing for Opioid-Naive Patients in Emergency Departments and Other Settings: Characteristics of Prescriptions and Association With Long-Term Use.

ABSTRACT: STUDY OBJECTIVE:We explore the emergency department (ED) contribution to prescription opioid use for opioid-naive patients by comparing the guideline concordance of ED prescriptions with those attributed to other settings and the risk of patients' continuing long-term opioid use. METHODS:We used analysis of administrative claims data (OptumLabs Data Warehouse 2009 to 2015) of opioid-naive privately insured and Medicare Advantage (aged and disabled) beneficiaries to compare characteristics of opioid prescriptions attributed to the ED with those attributed to other settings. Concordance with Centers for Disease Control and Prevention (CDC) guidelines and rate of progression to long-term opioid use are reported. RESULTS:We identified 5.2 million opioid prescription fills that met inclusion criteria. Opioid prescriptions from the ED were more likely to adhere to CDC guidelines for dose, days' supply, and formulation than those attributed to non-ED settings. Disabled Medicare beneficiaries were the most likely to progress to long-term use, with 13.4% of their fills resulting in long-term use compared with 6.2% of aged Medicare and 1.8% of commercial beneficiaries' fills. Compared with patients in non-ED settings, commercial beneficiaries receiving opioid prescriptions in the ED were 46% less likely, aged Medicare patients 56% less likely, and disabled Medicare patients 58% less likely to progress to long-term opioid use. CONCLUSION:Compared with non-ED settings, opioid prescriptions provided to opioid-naive patients in the ED were more likely to align with CDC recommendations. They were shorter, written for lower daily doses, and less likely to be for long-acting formulations. Prescriptions from the ED are associated with a lower risk of progression to long-term use.

SUBMITTER: Jeffery MM

PROVIDER: S-EPMC6295192 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Opioid Prescribing for Opioid-Naive Patients in Emergency Departments and Other Settings: Characteristics of Prescriptions and Association With Long-Term Use.

Jeffery Molly Moore MM Hooten W Michael WM Hess Erik P EP Meara Ellen R ER Ross Joseph S JS Henk Henry J HJ Borgundvaag Bjug B Shah Nilay D ND Bellolio M Fernanda MF

Annals of emergency medicine 20170926 3

<h4>Study objective</h4>We explore the emergency department (ED) contribution to prescription opioid use for opioid-naive patients by comparing the guideline concordance of ED prescriptions with those attributed to other settings and the risk of patients' continuing long-term opioid use.<h4>Methods</h4>We used analysis of administrative claims data (OptumLabs Data Warehouse 2009 to 2015) of opioid-naive privately insured and Medicare Advantage (aged and disabled) beneficiaries to compare charact ...[more]

PMID: 28967517

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Project description:Study objectiveOpioid pain reliever prescribing at emergency department (ED) discharge has increased in the past decade but specific prescription details are lacking. Previous ED opioid pain reliever prescribing estimates relied on national survey extrapolation or prescription databases. The main goal of this study is to use a research consortium to analyze the characteristics of patients and opioid prescriptions, using a national sample of ED patients. We also aim to examine the indications for opioid pain reliever prescribing, characteristics of opioids prescribed both in the ED and at discharge, and characteristics of patients who received opioid pain relievers compared with those who did not.MethodsThis observational, multicenter, retrospective, cohort study assessed opioid pain reliever prescribing to consecutive patients presenting to the consortium EDs during 1 week in October 2012. The consortium study sites consisted of 19 EDs representing 1.4 million annual visits, varied geographically, and were predominantly academic centers. Medical records of all patients aged 18 to 90 years and discharged with an opioid pain reliever (excluding tramadol) were individually abstracted by standardized chart review by investigators for detailed analysis. Descriptive statistics were generated.ResultsDuring the study week, 27,516 patient visits were evaluated in the consortium EDs; 19,321 patients (70.2%) were discharged and 3,284 (11.9% of all patients and 17.0% of discharged patients) received an opioid pain reliever prescription. For patients prescribed an opioid pain reliever, mean age was 41 years (SD 14 years) and 1,694 (51.6%) were women. Mean initial pain score was 7.7 (SD 2.4). The most common diagnoses associated with opioid pain reliever prescribing were back pain (10.2%), abdominal pain (10.1%), and extremity fracture (7.1%) or sprain (6.5%). The most common opioid pain relievers prescribed were oxycodone (52.3%), hydrocodone (40.9%), and codeine (4.8%). Greater than 99% of pain relievers were immediate release and 90.0% were combination preparations, and the mean and median number of pills was 16.6 (SD 7.6) and 15 (interquartile range 12 to 20), respectively.ConclusionIn a study of ED patients treated during a single week across the country, 17% of discharged patients were prescribed opioid pain relievers. The majority of the prescriptions had small pill counts and almost exclusively immediate-release formulations.

Project description:BackgroundIncreasing overuse of opioids in the United States may be driven in part by physician prescribing. However, the extent to which individual physicians vary in opioid prescribing and the implications of that variation for long-term opioid use and adverse outcomes in patients are unknown.MethodsWe performed a retrospective analysis involving Medicare beneficiaries who had an index emergency department visit in the period from 2008 through 2011 and had not received prescriptions for opioids within 6 months before that visit. After identifying the emergency physicians within a hospital who cared for the patients, we categorized the physicians as being high-intensity or low-intensity opioid prescribers according to relative quartiles of prescribing rates within the same hospital. We compared rates of long-term opioid use, defined as 6 months of days supplied, in the 12 months after a visit to the emergency department among patients treated by high-intensity or low-intensity prescribers, with adjustment for patient characteristics.ResultsOur sample consisted of 215,678 patients who received treatment from low-intensity prescribers and 161,951 patients who received treatment from high-intensity prescribers. Patient characteristics, including diagnoses in the emergency department, were similar in the two treatment groups. Within individual hospitals, rates of opioid prescribing varied widely between low-intensity and high-intensity prescribers (7.3% vs. 24.1%). Long-term opioid use was significantly higher among patients treated by high-intensity prescribers than among patients treated by low-intensity prescribers (adjusted odds ratio, 1.30; 95% confidence interval, 1.23 to 1.37; P<0.001); these findings were consistent across multiple sensitivity analyses.ConclusionsWide variation in rates of opioid prescribing existed among physicians practicing within the same emergency department, and rates of long-term opioid use were increased among patients who had not previously received opioids and received treatment from high-intensity opioid prescribers. (Funded by the National Institutes of Health.).

Project description:Introduction:We assess trends in opioid administration and prescribing from 2005-2015 in older adults in United States (U.S.) emergency departments (ED). Methods:We analyzed data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) survey from 2005 to 2015. ED visits for painful conditions were selected and stratified by age (18-64, 65-74, 75-84, ? 85 years). We analyzed trends in opioid administration in the ED and prescribing at discharge to encounters ? 65 and assessed predictors of use using survey-weighted chi-square tests and logistic regression. Trends in the use of five commonly prescribed opioids were also explored. Results:Opioid administration in the ED and prescribing at discharge for encounters with patients ? 65 years fell overall, but not significantly. By contrast, opioid administration in the ED and prescribing at discharge significantly declined for adult encounters 18-64 by 20% and 32%, respectively. A similar proportion of adult encounters ? 65 were administered opioids in the ED as 18-64, but adult encounters ? 85 had the lowest rates of administration. A smaller proportion of adult encounters ? 65 years with painful conditions were prescribed opioids at discharge compared to <65. However, this age-related disparity in prescribing narrowed over the study period. There were shifts in the specific types of opioids administered and prescribed in adult encounters ? 65 years over the study period, with the most notable being a 76% increase in hydromorphone administration comparing 2005-06 to 2014-15. Conclusion:From 2005-15, 1 in 4 to 1 in 10 ED patients with painful conditions were administered or prescribed an opioid in U.S. EDs. Opioids prescribing increased from 2005-11 and then declined from 2012-15, more so among visits in the 18-64 age group compared to ? 65 years. Opioid administrating demonstrated a gradual rise and decline in all adult age groups. Age consistently appears to be an important consideration, where opioid prescribing declines with advancing age. Given the nationwide opioid crisis, ED providers should remain vigilant in limiting opioids, particularly in older adults who are at higher risk for adverse effects.

Project description:ImportancePrescription opioids play a significant role in the ongoing opioid crisis. Guidelines and physician education have had mixed success in curbing opioid prescriptions, highlighting the need for other tools that can change prescriber behavior, including nudges based in behavioral economics.ObjectiveTo determine whether and to what extent changes in the default settings in the electronic medical record (EMR) are associated with opioid prescriptions for patients discharged from emergency departments (EDs).Design, setting, and participantsThis quality improvement study randomly altered, during a series of five 4-week blocks, the prepopulated dispense quantities of discharge prescriptions for commonly prescribed opioids at 2 large, urban EDs. These changes were made without announcement, and prescribers were not informed of the study itself. Participants included all health care professionals (physicians, nurse practitioners, and physician assistants) working clinically in either of the 2 EDs. Data were collected from November 28, 2016, through July 9, 2017, and analyzed from July 16, 2017, through May 14, 2018.InterventionsDefault quantities for opioids were changed from status quo quantities of 12 and 20 tablets to null, 5, 10, and 15 tablets according to a block randomization scheme. Regardless of the default quantity, each health care professional decided for whom to prescribe opioids and could modify the quantity prescribed without restriction.Main outcomes and measuresThe primary outcome was the number of tablets of opioid-containing medications prescribed under each default setting.ResultsA total of 104 health care professionals wrote 4320 prescriptions for opioids during the study period. Using linear regression, an increase of 0.19 tablets prescribed (95% CI, 0.15-0.22) was found for each tablet increase in default quantity. When evaluating each of the 15 pairwise comparisons of default quantities (eg, 5 vs 15 tablets), a lower default was associated with a lower number of pills prescribed in more than half (8 of the 15) of the pairwise comparisons; there was a higher quantity in 1 and no difference in 6 comparisons.Conclusions and relevanceThese findings suggest that default settings in the EMR may influence the quantity of opioids prescribed by health care professionals. This low-cost, easily implementable, EMR-based intervention could have far-reaching implications for opioid prescribing and could be used as a tool to help combat the opioid epidemic.Trial registrationClinicalTrials.gov identifier: NCT04155229.

Project description:BackgroundLong-term efficacy of opioids for non-cancer pain is unproven, but risks argue for cautious prescribing. Few data suggest how long or how much opioid can be prescribed for opioid-naïve patients without inadvertently promoting long-term use.ObjectiveTo examine the association between initial opioid prescribing patterns and likelihood of long-term use among opioid-naïve patients.DesignRetrospective cohort study; data from Oregon resident prescriptions linked to death certificates and hospital discharges.ParticipantsPatients filling opioid prescriptions between October 1, 2012, and September 30, 2013, with no opioid fills for the previous 365 days. Subgroup analyses examined patients under age 45 who did not die in the follow-up year, excluding most cancer or palliative care patients.Main measuresExposure: Numbers of prescription fills and cumulative morphine milligram equivalents (MMEs) dispensed during 30 days following opioid initiation ("initiation month").OutcomeProportion of patients with six or more opioid fills during the subsequent year ("long-term users").Key resultsThere were 536,767 opioid-naïve patients who filled an opioid prescription. Of these, 26,785 (5.0 %) became long-term users. Numbers of fills and cumulative MMEs during the initiation month were associated with long-term use. Among patients under age 45 using short-acting opioids who did not die in the follow-up year, the adjusted odds ratio (OR) for long-term use among those receiving two fills versus one was 2.25 (95 % CI: 2.17, 2.33). Compared to those who received?<?120 total MMEs, those who received between 400 and 799 had an OR of 2.96 (95 % CI: 2.81, 3.11). Patients initiating with long-acting opioids had a higher risk of long-term use than those initiating with short-acting drugs.ConclusionsEarly opioid prescribing patterns are associated with long-term use. While patient characteristics are important, clinicians have greater control over initial prescribing. Our findings may help minimize the risk of inadvertently initiating long-term opioid use.

Project description:IntroductionThe COVID-19 pandemic was superimposed upon an ongoing epidemic of opioid use disorder and overdose deaths. Although the trend of opioid prescription patterns (OPP) had decreased in response to public health efforts before the pandemic, little is known about the OPP from emergency department (ED) clinicians during the COVID-19 pandemic.MethodsWe conducted a pre-post study of adult patients who were discharged from 13 EDs and one urgent care within our academic medical system between 01/01/2019 and 09/30/2020 using an interrupted time series (ITS) approach. Patient characteristics and prescription data were extracted from the single unified electronic medical record across all study sites. Prescriptions of opioids were converted into morphine equivalent dose (MED). We compared the "Covid-19 Pandemic" period (C19, 03/29/2020-9/30/2020) and the "Pre-Pandemic" period (PP, 1/19/2020-03/28/2020). We used a multivariate logistic regression to assess clinical factors associated with opioid prescriptions.ResultsWe analyzed 361,794 ED visits by adult patients, including 259,242 (72%) PP and 102,552 (28%) C19 visits. Demographic information and percentages of patients receiving opioid prescriptions were similar in both groups. The median [IQR] MED per prescription was higher for C19 patients (70 [56-90]) than for PP patients (60 [60-90], P < 0.001). ITS demonstrated a significant trend toward higher MED prescription per ED visit during the pandemic (coefficient 0.11, 95% CI 0.05-0.16, P = 0.002). A few factors, that were associated with lower likelihood of opioid prescriptions before the pandemic, became non-significant during the pandemic.ConclusionOur study demonstrated that emergency clinicians increased the prescribed amount of opioids per prescription during the COVID-19 pandemic compared to the pre-pandemic period. Etiologies for this finding could include lack of access to primary care and other specialties during the pandemic, or lower volumes allowing for emergency clinicians to identify who is safe to be prescribed opioids.

Project description:BackgroundTreatment by high-opioid prescribing physicians in the emergency department (ED) is associated with higher rates of long-term opioid use among Medicare beneficiaries. However, it is unclear if this result is true in other high-risk populations such as Veterans.ObjectiveTo estimate the effect of exposure to high-opioid prescribing physicians on long-term opioid use for opioid-naïve Veterans.DesignObservational study using Veterans Health Administration (VA) encounter and prescription data.Setting and participantsVeterans with an index ED visit at any VA facility in 2012 and without opioid prescriptions in the prior 6 months in the VA system ("opioid naïve").MeasurementsWe assigned patients to emergency physicians and categorized physicians into within-hospital quartiles based on their opioid prescribing rates. Our primary outcome was long-term opioid use, defined as 6 months of days supplied in the 12 months subsequent to the ED visit. We compared rates of long-term opioid use among patients treated by high versus low quartile prescribers, adjusting for patient demographic, clinical characteristics, and ED diagnoses.ResultsWe identified 57,738 and 86,393 opioid-naïve Veterans managed by 362 and 440 low and high quartile prescribers, respectively. Patient characteristics were similar across groups. ED opioid prescribing rates varied more than threefold between the low and high quartile prescribers within hospitals (6.4% vs. 20.8%, p < 0.001). The frequency of long-term opioid use was higher among Veterans treated by high versus low quartile prescribers, though above the threshold for statistical significance (1.39% vs. 1.26%; adjusted OR 1.11, 95% CI 0.997-1.24, p = 0.056). In subgroup analyses, there were significant associations for patients with back pain (adjusted OR 1.25, 95% CI 1.01-1.55, p = 0.04) and for those with a history of depression (adjusted OR 1.28, 95% CI 1.08-1.51, p = 0.004).ConclusionsED physician opioid prescribing varied by over 300% within facility, with a statistically non-significant increased rate of long-term use among opioid-naïve Veterans exposed to the highest intensity prescribers.

Dataset Information

Opioid Prescribing for Opioid-Naive Patients in Emergency Departments and Other Settings: Characteristics of Prescriptions and Association With Long-Term Use.

Publications

Opioid Prescribing for Opioid-Naive Patients in Emergency Departments and Other Settings: Characteristics of Prescriptions and Association With Long-Term Use.

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