Characteristics of Emergency Department “Doctor Shoppers”

Impact of clinical decision support on controlled substance prescribing

BACKGROUND

Prescription drug overdose and misuse has reached alarming numbers. A persistent problem in clinical care is lack of easy, immediate access to all relevant information at the actionable time. Prescribers must digest an overwhelming amount of information from each patient's record as well as remain up-to-date with current evidence to provide optimal care. This study aimed to describe prescriber response to a prospective clinical decision support intervention designed to identify patients at risk of adverse events associated with misuse of prescription opioids/benzodiazepines and promote adherence to clinical practice guidelines.

METHODS

This study was conducted at a large multi-center healthcare system, using data from the electronic health record. A prospective observational study was performed as clinical decision support (CDS) interventions were sequentially launched (January 2016-July 2019). All data were captured from the medical record prospectively via the CDS tools implemented. A consecutive series of all patient encounters including an opioid/benzodiazepine prescription were included in this study (n = 61,124,172 encounters; n = 674,785 patients). Physician response to the CDS interventions was the primary outcome, and it was assessed over time using control charts.

RESULTS

An alert was triggered in 23.5% of encounters with a prescription (n = 555,626). The prescriber decision was influenced in 18.1% of these encounters (n = 100,301). As the number of risk factors increased, the rate of decision being influenced also increased (p = 0.0001). The effect of the alert differed by drug, risk factor, specialty, and facility.

CONCLUSION

The delivery of evidence-based, patient-specific information had an influence on the final prescription in nearly 1 in 5 encounters. Our intervention was sustained with minimal prescriber fatigue over many years in a large and diverse health system.

Labeled as "drug-seeking": nurses use harm reduction philosophy to reflect on mending mutual distrust between healthcare workers and people who use drugs

Introduction

Over 50 years of approaching drug use from the "War on Drugs" has led to ignoring the systemic structural and social determinants of health, enforced drug use stigma, and damaging stereotypes of people who use drugs or are labeled as "drug-seeking," and sorely failed to support those needing assistance.

On philosophy of harm reduction and power

People who use drugs are often disenfranchised and pathologized by being labeled as "a drug addict," which then serves as a rationalization for mistreatment by healthcare providers. This is in opposition to a harm-reduction approach. Harm reduction philosophy is an epistemic valuation necessary for drug use stigma and our moral obligation to reduce harm from interlocking systems of power that perpetuate harm.

On drug-seeking mistrust and human rights

We have encountered many clients who use drugs that report harmful interactions with healthcare providers. Harm reduction is an issue of health equity, social justice, and fundamental human rights. This paper presents three vignettes, the author's experiences of being labeled as-and advocating for family members labeled as "drug-seeking."

Discussion

To better serve as healthcare providers, workers must be equipped to work with people who use drugs and reinforce the social justice commitment against medical stigma, neglect, racism, and inadequate pain coverage and withdrawal treatment. Nurses and our epistemic lens can meet the challenge of complex intersectional issues affecting our use of power to develop more just and equitable health systems and advance our rebuilding of a trusting relationship with the people we serve.

Efficacy of oxycodone for postoperative dental pain: A systematic review and meta-analysis

OBJECTIVES

Dental pain is a commonly managed presentation in medicine and dentistry, where oxycodone is often prescribed. The aim of this systematic review and meta-analysis was to determine and quantify the effectiveness of oxycodone for acute dental pain.

DATA

Randomised controlled trials, controlled trials and comparative studies were included involving patients >12 years, where oxycodone was trialled for dental pain.

SOURCES

Three databases were searched: Medline Ovid, Embase Ovid and Web of Science. Two authors independently screened title and abstracts for relevance, extracted data and performed bias assessments.

STUDY SELECTION

Of 148 potentially relevant studies, 13 articles met the inclusion criteria for the systematic review and of the 13, nine studies were included in the meta-analysis. All studies were single-dose analgesia for surgical third molar extractions.

CONCLUSIONS

Oxycodone produced more effective analgesia in combination with paracetamol. In the meta-analysis, monotherapy etoricoxib and rofecoxib showed significant pain relief compared to combination oxycodone/paracetamol (SPID6 mean difference=-2.13, CI=-3.29, -0.98; TOTPAR6 mean difference=-2.98, CI=-4.90, -1.06). Non-steroidal anti-inflammatory drugs (NSAIDs) were more effective than oxycodone/paracetamol combinations, however, the evidence would become weak in a future study with a similar patient setting due to substantial statistical heterogeneity (SPID6 and TOTPAR6 prediction interval -4.471, 0.207 and -7.28, 1.32 respectively).

CLINICAL SIGNIFICANCE

Non-steroidal anti-inflammatory drugs were superior than oxycodone/paracetamol combinations, although some patient populations may experience similar effects to the combined oxycodone/paracetamol combination.

Defining "Doctor shopping" with Dispensing Data: A Scoping Review

BACKGROUND

"Doctor shopping" typically refers to patients that seek controlled substance prescriptions from multiple providers with the presumed intent to obtain these medications for non-medical use and/or diversion. The purpose of this scoping review is to document and examine the criteria used to identify "doctor shopping" from dispensing data in the United States.

METHODS

A scoping review was conducted on "doctor shopping" or analogous terminology from January 1, 2000 through December 31, 2020 using the Web of Science Core Collection (7 citation indices). Our search was limited to U.S. only, English-language, peer-reviewed and U.S. federal government studies. Studies without explicit "doctor shopping" criteria were excluded. Key components of these criteria included the number of prescribers and dispensers, dispensing period, and drug class (e.g., opioids).

RESULTS

Of 9,845 records identified, 95 articles met the inclusion criteria and our pool of studies ranged from years 2003 to 2020. The most common threshold-based or count definition was [≥4 Prescribers (P) AND ≥4 Dispensers (D)] (n = 12). Thirty-three studies used a 365-day detection window. Opioids alone were studied most commonly (n = 69), followed by benzodiazepines and stimulants (n = 5 and n = 2, respectively). Only 39 (41%) studies provided specific drug lists with active ingredients.

CONCLUSION

Relatively simple P × D criteria for identifying "doctor shopping" are still the dominant paradigm with the need for on-going validation. The value of P × D criteria may change through time with more diverse methods applied to dispensing data emerging.

Prevalence of Prescription Opioids for Nonoperative Treatment of Rotator Cuff Disease Is High

Purpose

To quantify the prevalence of opioid and benzodiazepine prescriptions for patients with rotator cuff disease across a large health care system and to describe evidence-based risk factors for opioid use within this population.

Methods

We conducted a retrospective cohort study at a major health care system of all patients with qualifying diagnostic codes. Emergency department, urgent care, and outpatient encounters between January and December 2016 for an acute rotator cuff tear, listed as the primary diagnosis, were included. Encounters with prescriptions for opioids or benzodiazepines were identified using the Prescription Reporting With Immediate Medication Utilization Mapping (PRIMUM) system. Descriptive statistics and the rate of controlled-substance prescribing were calculated for the population as a whole and among subgroups.

Results

We identified 9,376 encounters meeting the inclusion criteria. Of these encounters, 1,559 (16.6%) resulted in 1 or more prescriptions for an opioid or benzodiazepine that were issued during the visit. A total of 2,007 opioid and/or benzodiazepine prescriptions were issued for the 1,559 encounters (rate of 1.29 prescriptions per prescribing encounter). This represented 5,310 patients, of whom 1,096 (20.6%) received a prescription for an opioid or benzodiazepine during at least 1 of their encounters. Of patients who received a prescription, 20.9% had at least 1 risk factor for prescription misuse; 3.6% of patients had more than 1 risk factor. There were no demographic differences between patients with risk factors and patients without them.

Conclusions

The prescribing of opioids for the treatment of pain in patients with rotator cuff disease remains high across multiple locations and specialties within a large health care system. Using alternative pain management pathways as primary prevention for opioid misuse and abuse in high opioid-prescribing locations-and especially for patients identified as having a high risk of opioid misuse-is an important practice to continue in our shift away from opioid use as a health care system.

Level of Evidence

Level IV, case series.

Dental opioid prescribing rates after the up-scheduling of codeine in Australia

The misuse of pharmaceutical opioids is a major public health issue. In Australia, codeine was re-scheduled on 1 February 2018 to restrict access; it is now only available on prescription. The aim of this study was to measure the change in dental opioid prescriptions, one year before and after the codeine re-scheduling in Australia and to assess dental prescribing rates of opioids for 2018 by population and by clinician. Data was extracted for dental opioids for the year immediately prior and after the codeine up-schedule (1 February 2017-31 January 2019) from the publicly-available national prescription database (Pharmaceutical Benefits Scheme). Descriptive statistics, T-tests and odds ratios were used to identify significant prescribing differences. Codeine, codeine/paracetamol, oxycodone and tramadol use increased significantly the year after the codeine restriction than the previous year (13.8–101.1%). Australian dentists prescribed 8.6 prescriptions/1,000 population in 2018, with codeine/paracetamol accounting for most prescriptions (96%). The significant increase in opioid prescribing highlights that Australian dentists may be contributing to the misuse of pharmaceutical opioids. Educational efforts should be targeted at the appropriate use of opioids and patient selection. Dentists should be added to the prescription monitoring system SafeScript so they can make informed decisions for patients who are potentially misusing opioids.

Opioid prescribing rates from the emergency department: Down but not out

INTRODUCTION

To examine opioid prescribing rates following emergency department (ED) discharge stratified by patient's clinical and demographic characteristics over an 11-year period.

MATERIAL AND METHODS

We used 3.9 million ED visits from commercially insured enrollees and 15.2 million ED visits from Medicaid enrollees aged 12 to 64 over 2005-2016 from the IBM® MarketScan® Research Databases. We calculated rates of opioid prescribing at discharge from the ED and the average number of pills per opioid prescription filled.

RESULTS

Approximately 15-20% of ED visits resulted in opioid prescriptions filled. Rates increased from 2005 into late 2009 and 2010 and then declined steadily through 2016. Prescribing rates were similar for commercially insured and Medicaid enrollees. Being aged 25-54 years was associated with the highest rates of opioid prescriptions being filled. Hydrocodone was the most commonly prescribed opioid, but rates for hydrocodone prescription filling also fell the most. Rates for oxycodone were stable, and rates for tramadol increased. The average number of pills dispensed from prescriptions filled remained steady over the study period at 18-20.

DISCUSSION

Opioid prescribing rates from the ED have declined steadily since 2010 in reversal of earlier trends; however, about 15% of ED patients still received opioid prescriptions in 2016 amidst a national opioid crisis.

CONCLUSIONS

Efforts to reduce opioid prescribing could consider focusing on the pain types, age groups, and regions with high prescription rates identified in this study.

Does Prescription Opioid Shopping Increase Overdose Rates in Medicaid Beneficiaries?

STUDY OBJECTIVE

The link between prescription opioid shopping and overdose events is poorly understood. We test the hypothesis that a history of prescription opioid shopping is associated with increased risk of overdose events.

METHODS

This is a secondary analysis of a linked claims and controlled substance dispense database. We studied adult Medicaid beneficiaries in 2014 with prescription opioid use in the 6 months before an ambulatory care or emergency department visit with a pain-related diagnosis. The primary outcome was a nonfatal overdose event within 6 months of the cohort entry date. The exposure of interest (opioid shopping) was defined as having opioid prescriptions by different prescribers with greater than or equal to 1-day overlap and filled at 3 or more pharmacies in the 6 months before cohort entry. We used a propensity score to match shoppers with nonshoppers in a 1:1 ratio. We calculated the absolute difference in outcome rates between shoppers and nonshoppers.

RESULTS

We studied 66,328 patients, including 2,571 opioid shoppers (3.9%). There were 290 patients (0.4%) in the overall cohort who experienced a nonfatal overdose. In unadjusted analyses, shoppers had higher event rates than nonshoppers (rate difference of 4.4 events per 1,000; 95% confidence interval 0.8 to 7.9). After propensity score matching, there were no outcome differences between shoppers and nonshoppers (rate difference of 0.4 events per 1,000; 95% confidence interval -4.7 to 5.5). These findings were robust to various definitions of opioid shoppers and look-back periods.

CONCLUSION

Prescription opioid shopping is not independently associated with increased risk of overdose events.

Nonmedical opioid use among electronic dance music party attendees in New York City

BACKGROUND

Nonmedical opioid use remains an epidemic in the United States. Electronic dance music (EDM) party attendees have been found to be at high risk for the use of drugs such as ecstasy, but little is known about nonmedical opioid use in this population.

METHODS

Using time-space sampling, we surveyed 954 individuals (ages 18-40) attending randomly selected EDM parties in New York City in 2017. Participants were asked about the use of 18 different opioids and about willingness to use if offered by a friend in the next 30 days. We estimated the prevalence of use in this population and examined correlates of past-year and past-month use.

RESULTS

Almost a quarter (23.9%) of EDM party attendees are estimated to have used opioids non-medically in their lifetime, and one out of ten (9.8%) in the past year. 5% are estimated to be current users (reporting past-month use), and 16.4% are willing to use opioids non-medically if offered by a friend in the next 30 days. Past-year nonmedical benzodiazepine users were at high odds for reporting current nonmedical opioid use (aOR = 10.11, p < 0.001) and, on average, report using more different opioid drugs in the past year than non-past-year-users (p = 0.012). Nearly three-quarters (73.6%) of those who have used in the past year indicated that they would use again if offered by a friend in the next 30 days.

CONCLUSION

Nonmedical opioid use is prevalent in the EDM scene and many attendees are willing to use if offered. Prevention efforts are needed in this high-risk population.

Past-year Prescription Drug Monitoring Program Opioid Prescriptions and Self-reported Opioid Use in an Emergency Department Population With Opioid Use Disorder

BACKGROUND

Despite increasing reliance on prescription drug monitoring programs (PDMPs) as a response to the opioid epidemic, the relationship between aberrant drug-related behaviors captured by the PDMP and opioid use disorder is incompletely understood. How PDMP data should guide emergency department (ED) assessment has not been studied.

OBJECTIVES

The objective was to evaluate a relationship between PDMP opioid prescription records and self-reported nonmedical opioid use of prescription opioids in a cohort of opioid-dependent ED patients enrolled in a treatment trial.

METHODS

PDMP opioid prescription records during 1 year prior to study enrollment on 329 adults meeting Diagnostic and Statistical Manual IV criteria for opioid dependence entering a randomized clinical trial in a large, urban ED were cross-tabulated with data on 30-day nonmedical prescription opioid use self-report. The association among these two types of data was assessed by the Goodman and Kruskal's gamma; a logistic regression was used to explore characteristics of participants who had PDMP record of opioid prescriptions.

RESULTS

During 1 year prior to study enrollment, 118 of 329 (36%) patients had at least one opioid prescription (range = 1-51) in our states' PDMP. Patients who reported ≥15 of 30 days of nonmedical prescription opioid use were more likely to have at least four PDMP opioid prescriptions (20/38; 53%) than patients reporting 1 to 14 days (14/38, 37%) or zero days of nonmedical prescription opioid use (4/38, 11%; p = 0.002). Female sex and having health insurance were significantly more represented in the PDMP (p < 0.05 for both).

CONCLUSION

PDMPs may be helpful in identifying patients with certain aberrant drug-related behavior, but are unable to detect many patients with opioid use disorder. The majority of ED patients with opioid use disorder were not captured by the PDMP, highlighting the importance of using additional methods such as screening and clinical history to identify opioid use disorders in ED patients and the limitations of PDMPs to detect opioid use disorders.

Part 2. Current prescribing trends of dental non-antibacterial medicines in Australia from 2013 to 2016

BACKGROUND

There is limited literature regarding dental prescribing preferences for medicines other than antibiotics. This study aimed to describe the prescribing trends of dispensed prescription medicines by dentists in Australia from 2013 and 2016 and assess adherence to current guidelines.

METHODS

Data were accessed from the Department of Health of all dental prescriptions dispensed under the Pharmaceutical Benefits Scheme (PBS) from 2013 to 2016 and prescribing patterns were analysed. The prescribing rates were standardized to the dose and population.

RESULTS

There was an overall increase in the standardized use of opioid analgesics by almost 30% over the time frame, with the combination paracetamol 500 mg plus codeine 30 mg tablet accounting for the majority of dispensed opioid prescriptions (96.2% in 2016). Dispensed benzodiazepine prescriptions increased by 14.6%.

CONCLUSIONS

The increase in the consumption of opioids is concerning, suggesting that continuing education is required for dentists to better understand their limited role in managing dental pain and potential for abuse. The substantial increase in the dispensed use of benzodiazepines also requires further investigation and there were some drugs prescribed inappropriately and not in accordance with guidelines. Consideration could also be given to reviewing the drugs listed on the PBS for dental prescribing.

Impact of Hospital "Best Practice" Mandates on Prescription Opioid Dispensing After an Emergency Department Visit

OBJECTIVE

Washington State mandated seven hospital "best practices" in July 2012, several of which may affect emergency department (ED) opioid prescribing and provide a policy template for addressing the opioid prescription epidemic. We tested the hypothesis that the mandates would reduce opioid dispensing after an ED visit. We further assessed for a selective effect in patients with prior risky or chronic opioid use.

METHODS

We performed a retrospective, observational analysis of ED visits by Medicaid fee-for-service beneficiaries in Washington State, between July 1, 2011, and June 30, 2013. We used an interrupted time-series design to control for temporal trends and patient characteristics. The primary outcome was any opioid dispensing within 3 days after an ED visit. The secondary outcome was total morphine milligram equivalents (MMEs) dispensed within 3 days.

RESULTS

We analyzed 266,614 ED visits. Mandates were associated with a small reduction in opioid dispensing after an ED visit (-1.5%, 95% confidence interval [CI] = -2.8% to -0.15%). The mandates were associated with decreased opioid dispensing in 42,496 ED visits by patients with prior risky opioid use behavior (-4.7%, 95% CI = -7.1% to -2.3%) and in 20,238 visits by patients with chronic opioid use (-3.6%, 95% CI = -5.6% to -1.7%). Mandates were not associated with reductions in MMEs per dispense in the overall cohort or in either subgroup.

CONCLUSIONS

Washington State best practice mandates were associated with small but nonselective reductions in opioid prescribing rates. States should focus on alternative policies to further reduce opioid dispensing in subgroups of high-risk and chronic users.

An investigation of completion times on the Screener and Opioid Assessment for Patients with Pain - revised (SOAPP-R)

Background

Respondents’ scores to the Screener and Opioid Assessment for Patients with Pain – revised (SOAPP-R) have been shown to be predictive of aberrant drug-related behavior (ADB). However, research is lacking on whether an individual’s completion time (the amount of time that he/she takes to finish the screener) has utility in predicting ADB, despite the fact that response speed has been useful in predicting behavior in other fields. The purpose of this study was to evaluate the degree to which SOAPP-R completion time is predictive of ADB.

Materials and methods

This retrospective study analyzed completion-time data from 82 adult emergency department patients who completed the SOAPP-R on a tablet computer. The utility of SOAPP-R completion times in predicting ADB was assessed via logistic regression and the area under the curve (AUC) statistic. An external measure of ADB using Prescription Drug Monitoring Program data defined ADB to have occurred in individuals with at least four opioid prescriptions and at least four prescribers in 12 months.

Results

Although there was a slight trend for individuals with greater completion times to have greater odds of ADB (odds ratio 1.004 in simple logistic regression), the association between SOAPP-R completion time and ADB was not statistically significant in either simple logistic regression (P=0.307) or multiple logistic regression adjusting for SOAPP-R score (P=0.419). AUC values for the prediction of ADB using completion time alone, SOAPP-R score alone, and both completion time and SOAPP-R score were 0.63, 0.64, and 0.65, respectively.

Conclusion

There was no significant evidence that SOAPP-R completion times were predictive of ADB among emergency department patients. However, the AUC value for completion times was only slightly less than that for SOAPP-R total scores.

Discordant reporting of nonmedical opioid use in a nationally representative sample of US high school seniors

BACKGROUND

Nonmedical opioid use has become a major public health concern due to increases in treatment admissions, overdoses, and deaths. Use has also been linked to heroin initiation. Reliable data on nonmedical opioid use are needed to continue to inform prevention.

OBJECTIVE

To determine the prevalence and correlates of discordant self-report of nonmedical use of opioids in a national sample.

METHODS

Utilizing a nationally representative sample of 31,149 American high school seniors in the Monitoring the Future study (2009-2013), discordant responses between self-reported 12-month nonmedical opioid use and self-reported 12-month nonmedical Vicodin and OxyContin use (reporting Vicodin/OxyContin use, but not reporting "opioid" use) were assessed. We also used multivariable logistic regression to determine the characteristics of students who were most likely to provide a discordant response.

RESULTS

37.1% of those reporting nonmedical Vicodin use and 28.2% of those reporting nonmedical OxyContin use did not report overall nonmedical opioid use. Prevalence of nonmedical opioid use (8.3%) would increase when factoring in Vicodin, OxyContin, or both, by 2.8%, 1.3%, and 3.3%, respectively. Females were more likely to provide a discordant response to Vicodin and highly religious students were more likely to provide a discordant response regarding OxyContin use. Those who reported cocaine or nonmedical tranquilizer use were at consistently low odds for discordant responses. Nonmedical amphetamine users were at low odds for providing a discordant Vicodin response.

CONCLUSION

Prevalence of nonmedical opioid use may be underreported on some surveys, particularly among specific subpopulations. Further research on the effect of question order and skip-patterns (e.g., "gate" questions) is needed. Reliable data on nonmedical opioid use are needed to continue to accurately inform prevention.

Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing

BACKGROUND

Prescription narcotic overdoses and abuse have reached alarming numbers. To address this epidemic, integrated clinical decision support within the electronic medical record (EMR) to impact prescribing behavior was developed and tested.

METHODS

A multidisciplinary Expert Panel identified risk factors for misuse, abuse, or diversion of opioids or benzodiazepines through literature reviews and consensus building for inclusion in a rule within the EMR. We ran the rule "silently" to test the rule and collect baseline data.

RESULTS

Five criteria were programmed to trigger the alert; based on data collected during a "silent" phase, thresholds for triggers were modified. The alert would have fired in 21.75 % of prescribing encounters (1.30 % of all encounters; n = 9998), suggesting the alert will have a low prescriber burden yet capture a significant number of at-risk patients.

CONCLUSIONS

While the use of the EMR to provide clinical decision support is not new, utilizing it to develop and test an intervention is novel. We successfully built an alert system to address narcotic prescribing by providing critical, objective information at the point of care. The silent phase data were useful to appropriately tune the alert and obtain support for widespread implementation. Future healthcare initiatives can utilize similar methodology to collect data prospectively via the electronic medical record to inform the development, delivery, and evaluation of interventions.

Racial-Ethnic Disparities in Opioid Prescriptions at Emergency Department Visits for Conditions Commonly Associated with Prescription Drug Abuse

Prescription drug abuse is a growing problem nationally. In an effort to curb this problem, emergency physicians might rely on subjective cues such as race-ethnicity, often unknowingly, when prescribing opioids for pain-related complaints, especially for conditions that are often associated with drug-seeking behavior. Previous studies that examined racial-ethnic disparities in opioid dispensing at emergency departments (EDs) did not differentiate between prescriptions at discharge and drug administration in the ED. We examined racial-ethnic disparities in opioid prescription at ED visits for pain-related complaints often associated with drug-seeking behavior and contrasted them with conditions objectively associated with pain. We hypothesized a priori that racial-ethnic disparities will be present among opioid prescriptions for conditions associated with non-medical use, but not for objective pain-related conditions. Using data from the National Hospital Ambulatory Medical Care Survey for 5 years (2007-2011), the odds of opioid prescription during ED visits made by non-elderly adults aged 18-65 for 'non-definitive' conditions (toothache, back pain and abdominal pain) or 'definitive' conditions (long-bone fracture and kidney stones) were modeled. Opioid prescription at discharge and opioid administration at the ED were the primary outcomes. We found significant racial-ethnic disparities, with non-Hispanic Blacks being less likely (adjusted odds ratio ranging from 0.56-0.67, p-value < 0.05) to receive opioid prescription at discharge during ED visits for back pain and abdominal pain, but not for toothache, fractures and kidney stones, compared to non-Hispanic whites after adjusting for other covariates. Differential prescription of opioids by race-ethnicity could lead to widening of existing disparities in health, and may have implications for disproportionate burden of opioid abuse among whites. The findings have important implications for medical provider education to include sensitization exercises towards their inherent biases, to enable them to consciously avoid these biases from defining their practice behavior.

Use and Misuse of Opioids in Maine: Results From Pharmacists, the Prescription Monitoring, and the Diversion Alert Programs

OBJECTIVE

Although opioids have substantial efficacy for acute pain management, escalation to opioid misuse and abuse is a persistent concern. This report assesses the current status of the opioid epidemic in Maine using three complementary data sets.

METHOD

A representative sample of pharmacists (N = 275) completed an online survey regarding the extent that opioids affected their practice. A county-level analysis of opioid prescriptions (N = 1.22 million) reported to the Maine Prescription Monitoring Program (M-PMP) in 2014 and the agents implicated in arrests as reported to the Maine Diversion Alert Program (DAP, N = 2,700) in 2014/15 also was completed.

RESULTS

A significantly greater number of pharmacists agreed that opioid misuse (85.9%), rather than diversion (76.8%) or access (54.2%), was a concern. Only half (56.2%) reported use of the M-PMP. Opioids were dispensed to 22.4% of residents (37.7% of women in their 80s). This was enough to supply everyone in Maine with a 16.1-day supply. Buprenorphine accounted for almost half of opioid prescriptions to young adults (46.3% women, 49.3% men). Arrests increased by 13.3% from 2014 to 2015, and the proportion of arrests that involved prescription opioids decreased while those involving stimulants and heroin were elevated.

CONCLUSIONS

Pharmacists are very aware of the potential for opioid misuse, but many do not consistently use the M-PMP. There continues to be substantial legitimate use, as well as criminal activity, involving oxycodone and other prescription opioids. Continued vigilance and use of tools like the PMP and DAP are necessary to minimize nonmedical use of opioids in Maine.

A comparison of an opioid abuse screening tool and prescription drug monitoring data in the emergency department

OBJECTIVES

This study aimed to: (a) determine the percentage of ED patients receiving prescriptions for opioid pain medications that meet the criteria for "high-risk for abuse potential" on the Screener and Opioid Assessment for Patients with Pain (SOAPP(®)-R), (b) determine the percentage of patients with high-risk behavior on the state prescription drug monitoring program (PDMP) database, (c) compare the SOAPP-R with data from the PDMP, and (d) determine psychometric properties of SOAPP-R for ED patients

METHODS

Convenience sample of ED patients who were being considered for discharge with a prescription for an opioid pain medication. Subjects completed SOAPP-R on an electronic tablet and PDMP data was obtained. Scores on SOAPP-R ≥ 18 were defined as "at-risk", and PDMP data showing both ≥ 4 opioid prescriptions and ≥ 4 providers in 12 months was considered the criterion standard for high-risk behavior.

RESULTS

82 patients (88.2%) provided consent. 32.9% (n=27) were determined to be "at-risk" (score ≥ 18) by SOAPP-R. 15.9% (n=13) subjects met PDMP criteria and 53.9% (n=7) of those had SOAPP-R scores ≥ 18 (sensitivity 54%, specificity 71%, positive predictive value 26%, negative predictive value 89%). The association of an at-risk SOAPP-R score and PDMP high-risk criteria was an adjusted odds ratio of 1.39 (95% confidence interval 0.73-3.68).

CONCLUSIONS

In our population, about one-third of patients being considered for discharge with an opioid prescription scored "at-risk" on SOAPP-R and 15.9% met the PDMP high-risk criteria. The high negative predictive value of SOAPP-R indicates it may be a useful screening tool for the ED patient population.

Nonmedical opioid use and heroin use in a nationally representative sample of us high school seniors

BACKGROUND

Nonmedical use of opioids has become increasingly problematic in recent years with increases in overdoses, treatment admissions, and deaths. Use also appears to be contributing to heroin initiation, which has increased in recent years. Further research is needed to examine which adolescents are at highest risk for nonmedical use of opioids and heroin and to explore potential links between nonmedical opioid use and heroin use.

METHODS

Data were analyzed from a nationally representative sample of American high school seniors in the Monitoring the Future study (2009-2013, Weighted N=67,822). We examined associations between frequency and recency of nonmedical use of opioids and heroin. Sociodemographic correlates of use of each drug were also examined.

RESULTS

12.4% of students reported lifetime nonmedical opioid use and 1.2% reported lifetime heroin use. As frequency of lifetime nonmedical opioid use increased, so too did the odds for reporting heroin use, with over three-quarters (77.3%) of heroin users reporting lifetime nonmedical opioid use. Recent (30-day) nonmedical opioid use was a robust risk factor for heroin use and almost a quarter (23.2%) of students who reported using opioids ≥40 times reported lifetime heroin use. Black and Hispanic students were less likely to report nonmedical opioid or heroin use than white students, but they were more likely to report heroin use in absence of nonmedical opioid use.

DISCUSSION

Recent and frequent nonmedical opioid use are risk factors for heroin use among adolescents. Prevention needs to be targeted to those at highest risk.

Prescription of opioid analgesics for nontraumatic dental conditions in emergency departments

BACKGROUND

Opioid analgesics prescribed for nontraumatic dental conditions (NTDCs) by emergency physicians continue to receive attention because of the associated potential for misuse, abuse and addiction. This study examined rates of prescription of opioid analgesics and types of opioid analgesics prescribed for NTDC visits in U.S. emergency departments.

METHODS

Data from the National Hospital Ambulatory Medical Care Survey from 2007 to 2010 were analyzed. Descriptive statistics and logistic regression analysis were performed and adjusted for the survey design.

RESULTS

NTDCs made up 1.7% of all ED visits from 2007 to 2010. The prescription of opioid analgesics was 50.3% for NTDC and 14.8% for non-NTDC visits. The overall rate of opioid analgesics prescribed for NTDCs remained fairly stable from 2007 through 2010. Prescription of opioids was highest among patients aged 19-33 years (56.8%), self-paying (57.1%), and non-Hispanic Whites (53.2%). The probability of being prescribed hydrocodone was highest among uninsured patients (68.7%) and for oxycodone, it was highest among private insurance patients (33.6%). Compared to 34-52 year olds, children 0-4 years were significantly more likely to be prescribed codeine and less likely to be prescribed oxycodone. Compared to non-Hispanic Whites, non-Hispanic Blacks had significantly higher odds of been prescribed codeine and somewhat lower odds of been prescribed oxycodone, but it was not statistically significant.

CONCLUSIONS

There was no significant change in the rates of opioid analgesics prescribed over time for NTDC visits to EDs. Age, payer type and race/ethnicity were significant predictors for the prescription of different opioid analgesics by emergency physicians for NTDC visits.