Using prescription monitoring program data to characterize out-of-pocket payments for opioid prescriptions in a state Medicaid program

Development of a potential opioid misuse measure from administrative dispensing data and contrasting opioid misuse among individuals on long-term tramadol, long-term short-acting hydrocodone or long-term short-acting oxycodone therapy in Arkansas

OBJECTIVE

This study sought to: (1) construct and validate a composite potential opioid misuse score; and (2) compare potential opioid misuse among individuals prescribed long-term therapy on tramadol, short-acting hydrocodone or short-acting oxycodone.

METHODS

A retrospective cohort study was conducted using Arkansas All-Payer Claims Database (APCD; 2013-2018) linked to Arkansas Prescription Drug Monitoring Program (PDMP; 2014-2017) and state death certificate data (2013-2018). The study subjects were ambulatory, cancer-free adults with incident long-term therapy on tramadol, short-acting hydrocodone or short-acting oxycodone. The number of opioid prescribers/pharmacies, cash payment for opioid prescriptions, overlapping prescribers/pharmacies and a composite misuse score (derived from opioid prescribers/pharmacies and cash payment) were assessed in two 180 day windows as potential measures of misuse. The composite score was developed based on associations observed with opioid overdose and opioid-related injuries.

RESULTS

A total of 17,816 (tramadol), 23,660 (hydrocodone) and 4799 (oxycodone) persons were included. The composite score had modest discrimination for overdose (c-index = 0.65). In the first 180 day period, the average composite misuse scores were 1.28 (tramadol), 1.93 (hydrocodone) and 2.18 (oxycodone). Compared to long-term hydrocodone, long-term tramadol had lower misuse (IRR [95% CI]: 0.75 [0.73-0.76]), and long-term oxycodone had higher misuse (1.09 [1.07-1.11]) in adjusted analyses. Qualitatively similar associations were observed for nearly all individual component measures of misuse.

CONCLUSION

A composite measure of potential opioid misuse had modest levels of discrimination in detecting overdose. In comparison to long-term hydrocodone therapy, long-term oxycodone had higher and tramadol had lower risk of potential opioid misuse.

Patient outcomes after opioid dose reduction among patients with chronic opioid therapy

ABSTRACT

The net effects of prescribing initiatives that encourage dose reductions are uncertain. We examined whether rapid dose reduction after high-dose chronic opioid therapy (COT) associates with suicide, overdose, or other opioid-related adverse events. This retrospective cohort study included Oregon Medicaid recipients with high-dose COT. Claims were linked with prescription data from the prescription drug monitoring program and death data from vital statistics, 2014 to 2017. Participants were placed into 4 mutually exclusive dose trajectory groups after the high-dose COT period, and Cox proportional hazard models were used to examine the effect of dose changes on patient outcomes in the following year. Of the 14,596 high-dose COT patients, 4191 (28.7%) abruptly discontinued opioid prescriptions, 1648 (11.3%) reduced opioid dose before discontinuing, 6480 (44.4%) had a dose reduction but never discontinued, and 2277 (15.6%) had a stable or increasing dose. Discontinuation, whether abrupt (adjusted hazard ratio [aHR] 3.63; 95% confidence interval [CI] 1.42-9.25) or with dose reduction (aHR 4.47, 95% CI 1.68-11.88) significantly increased risk of suicide compared with those with stable or increasing dose. By contrast, discontinuation or dose reduction reduced the risk of overdose compared with those with a stable or increasing dose (aHR 0.36-0.62, 95% CI 0.20-0.94). Patients with an abrupt discontinuation were more likely to overdose on heroin (vs. prescription opioids) than patients in other groups (P < 0.0001). Our study suggests that patients on COT require careful risk assessment and supportive interventions when considering opioid discontinuation or continuation at a high dose.

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.

Characteristics and health care events of patients admitted to treatment for both heroin and methamphetamine compared to patients admitted for heroin only

INTRODUCTION

Co-occurring heroin and methamphetamine use is a growing public health problem. This study assessed the characteristics of Medicaid patients admitted to substance use disorder (SUD) treatment programs for heroin and methamphetamine use compared with patients admitted for heroin only.

METHODS

The study identified patients who entered treatment for heroin and methamphetamine and those admitted for heroin only between 2014 and 2017 from the Oregon Treatment Episode Data Set linked with Medicaid enrollment, and medical and pharmacy claims. We used a cross-sectional design to compare demographics, type of treatment, and substance use characteristics between the two groups. We used logistic regression models to assess differences in the odds of opioid-related and all-cause adverse events.

RESULTS

Among the 3802 study sample, 2004 (53%) were admitted for both heroin and methamphetamine use. The heroin and methamphetamine group were more likely to be younger, female, White or American Indian/Alaska Native; and had more comorbidities than patients admitted for heroin only. Patients admitted for heroin and methamphetamine treatment were less likely to receive any medication for opioid use disorder (MOUD) (56% vs 75%, p < 0.001) and received fewer days of MOUD treatment (mean 188 vs. 265 days, p < 0.001) compared to the heroin only group. The heroin and methamphetamine group were more likely to receive buprenorphine (28.1% vs 24.2%) and less likely to receive methadone (39.9% vs 62.5%). The heroin and methamphetamine group began use at a younger age, used and injected more frequently than those admitted for heroin only. Patients treated for heroin and methamphetamine had 17% lower odds of OUD-related adverse events (aOR 0.83; 95% CI 0.70-0.99) and 52% higher odds of all-cause adverse events (aOR 1.52; 95% CI 1.14-2.03) relative to the heroin only group.

CONCLUSION

Patients admitted for both heroin and methamphetamine reported greater addiction severity (more frequent use, earlier onset of use, and injection use), yet less commonly received MOUD compared to those who were admitted for heroin only. These findings indicate substantial missed opportunities for MOUD treatment even among people who successfully engage with the SUD treatment system.

Do Injured Workers Receive Opioid Prescriptions Outside the Workers' Compensation System?: The Case of Private Group Health Insurances

OBJECTIVES

We explored the impact of workplace injury on receiving opioid prescriptions from employer-sponsored private group health insurances (GHI) and how long injured workers receive opioid prescriptions after injury.

METHODS

We used a difference-in-differences method and MarketScan databases for the years 2013 to 2015.

RESULTS

Estimated odds for injured workers relative to noninjured workers to receive opioid prescriptions from the GHI within 60 and 180 days from the index date of injury were 4.9 and 1.5, respectively. In addition, the number of opioid prescriptions received within 60 days of injury was 2.5 times higher.

CONCLUSION

Workplace injury could be a risk factor for both short and long-term prescription opioid use. Studies that use only workers' compensation medical claim data likely underestimate the magnitude of the impact of workplace injuries on opioid prescriptions.

Inappropriate Opioid Prescribing in Oregon's Coordinated Care Organizations

OBJECTIVES

The objective of this study is to identify demographic and clinical characteristics of patients with a pain diagnosis who fill potentially inappropriate opioid prescriptions within the Oregon Medicaid population.

METHODS

Using de-identified Oregon Medicaid claims data (2010-2014), a series of logistic regression models was estimated to identify factors associated with receipt of potential inappropriate opioid prescriptions among patients with acute or chronic pain. Analyses included a total of 204,364 records, representing 118,671 unique patients.

RESULTS

The percentage of patients with a pain diagnosis filling at least 1 inappropriate opioid prescription decreased over the study period, falling from 32.5% in 2010 to 22.3% in 2014. Multivariate logistic regression results indicated that white and older enrollees were more likely to fill an inappropriate prescription over the study period. The odds of filling an inappropriate opioid prescription were also greater for patients with chronic health conditions, psychiatric disorders, and substance use disorder. Results were similar for patients diagnosed with either acute or chronic pain, chronic pain only, or acute pain only.

CONCLUSIONS

Inappropriate opioid prescribing for patients with pain diagnoses decreased over the study period, which stands in stark contrast to other state Medicaid programs. However, in 2014, almost 23% of patients in the Oregon Medicaid program filled at least 1 inappropriate opioid prescription, suggesting additional strategies are needed to further reduce potential inappropriate prescribing. Medicaid programs may consider adopting enhanced prescription drug monitoring program features, enacting pain clinic legislation, and implementing additional prior authorization policies to reduce inappropriate prescribing of opioids.

Patterns of Prescription Opioid Use Prior to Self-reported Heroin Initiation

OBJECTIVES

To determine the association between self-reported heroin initiation and patterns of prescription opioid use.

METHODS

Using linked Oregon Medicaid, prescription drug monitoring program, and Treatment Episodes Data Set data, we conducted a case-control study of individuals reporting heroin initiation between 2015 and 2017 during treatment intake. Prescription drug monitoring program data provided prescription opioid use patterns, including long-term prescription opioid therapy, in the year before self-reported heroin initiation. Four controls were matched to each case on aggregate prescription opioid use and demographics.

RESULTS

About half (49%) of individuals who reported heroin initiation filled an opioid in the year before initiation. Individuals who initiated heroin (n = 306) were more likely to receive prescriptions from multiple prescribers (24% vs 18%, P = 0.007) and pharmacies (12% vs 5%, P < 0.001) compared with matched controls (n = 1224). Long-term opioid therapy (13% vs 14%, P = 0.74) was uncommon and did not differ between groups.

CONCLUSIONS

Although prescription opioid use commonly preceded self-reported heroin initiation, long-term opioid therapy was not common. Although this study did not find an association between opioid discontinuation and heroin initiation, sample size and follow-up limitations preclude definitive conclusions. Efforts to limit prescription opioids should continue to evaluate for unintended harms.

Identifying opioid dose reductions and discontinuation among patients with chronic opioid therapy

PURPOSE

To identify and systematically categorize opioid dose reductions and discontinuations in large administrative datasets.

METHODS

Using a dataset of Oregon Medicaid beneficiaries linked with prescription drug monitoring program (PDMP) data between 2014 and 2017, we identified patients with high-dose chronic opioid therapy (COT), ≥84 consecutive days with an average daily MME of ≥50 on each of those days. We categorized patients into four mutually exclusive groups based on the trajectory of opioid use in the year after COT: abrupt discontinuation, dose reduction and discontinuation, dose reduction without discontinuation, and stable or increasing dose. Finally, we examined prescription patterns in each category.

RESULTS

Among individuals with high-dose COT, 7636 (37.1%) had an abrupt discontinuation, 2577 (12.5%) had a dose reduction and discontinuation, 7739 (37.6%) had a dose reduction without discontinuation, and 2623 (12.8%) had a stable or increasing dose in the year following the COT episode. Among those who discontinued opioid use (n = 10 213, 49.6%), three in four (74.8%) did so without evidence of tapering. Patients who discontinued opioid use were younger, had higher daily MME during COT, and were more likely to have filled a benzodiazepine or had a multiple provider or multiple pharmacy episode compared to patients who did not discontinue opioid use.

CONCLUSIONS

Dose reductions and discontinuations after a COT episode can be identified in large administrative datasets. Those with a discontinuation were more likely to have riskier prescription profiles during their COT episode.

Prescription Opioid Dispensing Patterns Prior to Heroin Overdose in a State Medicaid Program: a Case-Control Study

BACKGROUND

A large proportion of individuals who use heroin report initiating opioid use with prescription opioids. However, patterns of prescription opioid use preceding heroin-related overdose have not been described.

OBJECTIVE

To describe prescription opioid use in the year preceding heroin overdose.

DESIGN

Case-control study comparing prescription opioid use with a heroin-involved overdose, non-heroin-involved opioid overdose, and non-overdose controls from 2015 to 2017.

PARTICIPANTS

Oregon Medicaid beneficiaries with linked administrative claims, vital statistics, and prescription drug monitoring program data.

MAIN MEASURES

Opioid, benzodiazepine, and other central nervous system depressant prescriptions preceding overdose; among individuals with one or more opioid prescription, we assessed morphine milligram equivalents per day, overlapping prescriptions, prescriptions from multiple prescribers, long-term use, and discontinuation of long-term use.

KEY RESULTS

We identified 1458 heroin-involved overdoses (191 fatal) and 2050 non-heroin-involved opioid overdoses (266 fatal). In the 365 days prior to their overdose, 45% of individuals with a heroin-involved overdose received at least one prescribed opioid compared with 78% of individuals who experienced a non-heroin-involved opioid overdose (p < 0.001). For both heroin- and non-heroin-involved overdose cases, the likelihood of receiving an opioid increased with age. Among heroin overdose cases with an opioid dispensed, the rate of multiple pharmacy use was the only high-risk opioid pattern that was greater than non-overdose controls (adjusted odds ratio 3.2; 95% confidence interval 1.48 to 6.95). Discontinuation of long-term opioid use was not common prior to heroin overdose and not higher than discontinuation rates among non-overdose controls.

CONCLUSIONS

Although individuals with a heroin-involved overdose were less likely to receive prescribed opioids in the year preceding their overdose relative to non-heroin opioid overdose cases, prescription opioid use was relatively common and increased with age. Discontinuation of long-term prescription opioid use was not associated with heroin-involved overdose.

A comparison of trends in opioid dispensing patterns between Medicaid pharmacy claims and prescription drug monitoring program data

PURPOSE

Public and private payers have implemented benefit limitations to reduce high-risk opioid prescriptions. The effect of these policies on the increase of out-pocket payment is unclear. To understand this gap, we compared the discrepancies in trends between opioid prescription fills vs claims among Medicaid beneficiaries.

METHODS

Data from the Oregon Prescription Drug Monitoring Program (PDMP) and Oregon Medicaid administrative claims were used to identify Medicaid beneficiaries 18 years and older enrolled at least one full month from 2015 to 2017. Generalized linear models assessed the trends in the monthly rates of opioid PDMP prescription fills and pharmacy claims per 1000 eligible members. Rates by morphine equivalent dose (MED) tier (<50, 50-89, 90-120, >120 MED) and co-prescribed opioid and benzodiazepine were also assessed.

RESULTS

During the study period, an average of 495 355 Medicaid members had 2 797 054 opioid PDMP fills and 2 472 155 opioid Medicaid pharmacy claims. Study participants had 15.4 (95% confidence interval [CI] 13.6 to 17.0; P < .001) more prescriptions per 1000 member per month in the PDMP data (114.1 [SD 7.4]) compared with the Medicaid claims data (98.7 [SD 7.9]). Similarly, there were 1.9 more co-occurring opioid/benzodiazepine prescriptions per 1000 members per month observed in the PDMP data than the Medicaid claims data (95% CI 1.7 to 2.1; P < .001). At each MED tier, the PDMP fills were consistently higher than the claims (P < .001).

CONCLUSIONS

Higher rate of fills in the PDMP compared to pharmacy claims suggests that there may be an increasing trend of out-of-pocket payment among Medicaid beneficiaries.

Strengths and weaknesses of existing data sources to support research to address the opioids crisis

Better opioid prescribing practices, promoting effective opioid use disorder treatment, improving naloxone access, and enhancing public health surveillance are strategies central to reducing opioid-related morbidity and mortality. Successfully advancing and evaluating these strategies requires leveraging and linking existing secondary data sources. We conducted a scoping study in Fall 2017 at RAND, including a literature search (updated in December 2018) complemented by semi-structured interviews with policymakers and researchers, to identify data sources and linking strategies commonly used in opioid studies, describe data source strengths and limitations, and highlight opportunities to use data to address high-priority public health research questions. We identified 306 articles, published between 2005 and 2018, that conducted secondary analyses of existing data to examine one or more public health strategies. Multiple secondary data sources, available at national, state, and local levels, support such research, with substantial breadth in data availability, data contents, and the data's ability to support multi-level analyses over time. Interviewees identified opportunities to expand existing capabilities through systematic enhancements, including greater support to states for creating and facilitating data use, as well as key data challenges, such as data availability lags and difficulties matching individual-level data over time or across datasets. Multiple secondary data sources exist that can be used to examine the impact of public health approaches to addressing the opioid crisis. Greater data access, improved usability for research purposes, and data element standardization can enhance their value, as can improved data availability timeliness and better data comparability across jurisdictions.

Factors Influencing Judgments to Consult Prescription Monitoring Programs: A Factorial Survey Experiment

BACKGROUND

Prescription monitoring programs (PMPs) can provide health care professionals with valuable information. However, few studies have explored providers' decision making for accessing PMPs.

AIMS

This study aimed to identify provider characteristics and situational factors most influencing perceived importance of consulting the PMP for patients in a simulated context.

DESIGN

The study used a cross-sectional factorial survey.

SETTINGS

The survey was administered electronically.

PARTICIPANTS/SUBJECTS

Community pharmacists, advanced practice registered nurses (APRNs), and physicians in Iowa.

METHODS

Participants were recruited by mail which included a link to the online survey. The survey consisted of demographic questions, eight randomly generated vignettes, and one ranked item. The vignettes described a hypothetical prescription using eight experimental variables whose levels were randomly varied. Respondents evaluated each vignette for importance to access the PMP. Analyses used linear mixed-effects models in R (Version 3.5.0).

RESULTS

A total of 138 responses were available for multilevel analysis. Women, physicians, and APRNs rated it more important to consult the PMP for a given prescription compared with men and pharmacists. Accessing a PMP was perceived as more important with cash payments, quantity dispensed, suspicion for misuse, hydromorphone and oxycodone prescriptions, and headache. Advancing age, postoperative pain, and anxiety or sleep indications were associated with less importance.

CONCLUSIONS

Age, indication for prescribing, misuse, and payment mode each independently had greater importance to providers in accessing the PMP. This was the first study to isolate the influence of different controlled substances on how important it was to consult the PMP.

Effect of Controlled Substance Use Management on Prescribing Patterns and Health Outcomes Among High-Risk Users

BACKGROUND

The misuse of prescription drugs is a serious public health problem. Although controlled substance (CS) prescribing, in particular, opioid analgesics, has recently declined, the volume of prescriptions in 2015 was still 3 times higher than in 1999. To curb the high volume of CS prescribing, a national health plan has implemented a controlled substance utilization management (CSUM) program, a prescriber-focused educational intervention regarding patients at risk for CS misuse.

OBJECTIVE

To characterize the effect of the CSUM program on CS prescribing volumes, number of prescribers and other health outcomes (opioid overdoses, all-cause emergency department visits, and all-cause hospitalizations).

METHODS

The CSUM program identified patients who received ≥10 CS prescriptions within any 3-month window for noncancer pain as being high risk for CS misuse and mailed patient medication profiles to their CS prescribers. This retrospective study was conducted on patients whose prescribers were contacted by the CSUM program from January 2014 to December 2015. The reference group included patients with carved-out pharmacy benefits who were 1:1 propensity score matched to the program group. CS prescribing volumes, number of CS prescribers, and other health care utilization measures were assessed in the 6-month pre-intervention (baseline) period and 6-month post-intervention (follow-up) period using difference-in-difference (DID) analysis.

RESULTS

After matching, each group had 17,295 patients, and there were no differences in baseline demographic and clinical characteristics. During the follow-up period, the CSUM group had 1.1 fewer prescriptions for CS (mean difference [MD] within group -3.2 vs. -2.1 prescriptions), 21 fewer days of supply (MD -27 vs. -6 days), and 0.2 fewer number of CS prescribers (MD -0.8 vs. -0.6 prescribers) per patient when compared with the reference group; all P values were < 0.001. The reductions in CS prescribing volumes and number of prescribers within the CSUM group were mainly driven by opioid analgesics, with minimal differences in benzodiazepines and stimulants between the 2 groups. The CSUM program had no significant effect on the opioid dosage strength but was associated with a lower rate of all-cause emergency department visits.

CONCLUSIONS

The CSUM program had a moderate positive effect on reducing CS prescribing volumes and number of CS prescribers compared with a reference group. Beside the focus on patients who have already received 10+ CS prescriptions, there remains a need for more intensive approaches for accelerating targeted declines in CS in general and opioids in particular.

DISCLOSURES

Funding for this study was provided by Anthem, which had no role in study design, data interpretation, manuscript development, or the decision to publish. Chen, Ma, Barron, DeVries, and Agiro are employees of HealthCore, a wholly owned subsidiary of Anthem. Horn is an employee of Anthem.

Sociodemographic factors, prescription history and opioid overdose deaths: a statewide analysis using linked PDMP and mortality data

BACKGROUND

Opioid overdose deaths have continued to rise in Tennessee (TN) with fentanyl emerging as a major contributor. Current data are needed to identify at-risk populations to guide prevention strategies. We conducted a large statewide observational study among TN adult decedents (2013-2016) to evaluate the association of sociodemographic factors and prescribing patterns with opioid overdose deaths.

METHODS

Among drug overdose decedents identified using death certificate data (n = 5483), we used logistic regression to estimate adjusted odds ratios and 95% confidence intervals for characteristics associated with prescription opioid (PO) (excluding fentanyl), fentanyl, and heroin alone overdoses. Among decedents linked to TN's Prescription Drug Monitoring Database using deterministic algorithms, we obtained prescription history in the year before death (n = 3971), which was evaluated by type of overdose using descriptive statistics.

RESULTS

Younger, non-White decedents had lower odds of PO overdose, while females and benzodiazepines as a contributing cause were associated with increased odds of PO overdose. Younger age, Non-Hispanic Black race/ethnicity, greater than high school education, and cocaine/other stimulants as a contributing cause were associated with increased odds of fentanyl or heroin overdoses. Over 55% of PO, 39.2% of fentanyl, and 20.7% of heroin overdoses had an active opioid prescription at death. For PO, fentanyl, and heroin decedents, respectively, 46.0%, 30.5%, and 26.2% had an active prescription for benzodiazepines at death.

CONCLUSIONS

Prescription opioid overdose deaths were associated with different sociodemographic profiles and prescribing history compared to fentanyl and heroin overdose deaths in TN. Data can guide prevention strategies to reduce opioid overdose mortality.

Prevalence of and Factors Associated With Long-term Concurrent Use of Stimulants and Opioids Among Adults With Attention-Deficit/Hyperactivity Disorder

IMPORTANCE

There exist limited data on the long-term concurrent use of stimulants and opioids among adults with attention-deficit/hyperactivity disorder (ADHD), a population at risk for prescription drug abuse.

OBJECTIVE

To assess the prevalence and secular trends of and the factors associated with long-term concurrent use of stimulants and opioids among adults with ADHD.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study assessed Medicaid Analytic eXtract data from 29 states between 1999 and 2010. Medicaid fee-for-service enrollees aged 20 to 64 years with ADHD who were continuously enrolled for more than 12 months after receiving an ADHD diagnosis were included. One 12-month continuous enrollment period was randomly selected as an observation unit for each enrollee. Multivariable regression models were used to determine secular trends in the prevalence of and the potential risk factors associated with long-term concurrent stimulant-opioid use. Analyses were conducted between January 1 and December 31, 2017.

EXPOSURES

Risk factors measured during the first half of the 12-month observation unit.

MAIN OUTCOMES AND MEASURES

Prevalence of long-term use of stimulants and opioids overlapping for at least 30 consecutive days was measured during the second half of the randomly selected 12-month observation unit.

RESULTS

Of the 66 406 Medicaid-enrolled adults with ADHD who were identified as eligible, 35 670 (53.7%) were 20 to 30 years old, 37 155 (56.0%) were women, and 52 551 (79.1%) were non-Hispanic white individuals. Of these 66 406 adults with ADHD, 21 723 (32.7%) used stimulants, and 3590 (5.4%) were long-term users of stimulants and opioids. Long-term opioid use was more common among adults with ADHD who used stimulants (3590 of 21 723 [16.5%]) than among those with ADHD who did not use stimulants (5826 of 44 683 [13.0%]). Long-term concurrent stimulant-opioid use increased between 1999 and 2010 (adjusted prevalence relative ratio [PRR], 1.12; 95% CI, 1.10-1.14). Compared with patients aged 20 to 30 years, the prevalence of long-term concurrent stimulant-opioid use was higher among patients in their 30s (PRR, 1.07; 95% CI, 1.07-1.08) and was further increased among patients in their 40s (PRR, 1.14; 95% CI, 1.12-1.15) and 50s (PRR, 1.17; 95% CI, 1.16-1.19). Other strongly associated risk factors included being non-Hispanic white (black PRR, 0.93; 95% CI, 0.92-0.93; other PRR, 0.97; 95% CI, 0.97-0.98; vs white), living in the southern United States (Midwest PRR, 0.98; 95% CI, 0.97-0.98; Northeast PRR, 0.94; 95% CI, 0.93-0.94; West PRR, 0.95; 95% CI, 0.94-0.96; vs South), and receiving a diagnosis of substance abuse disorder (PRR, 1.04; 95% CI, 1.03-1.05), depression (PRR, 1.02; 95% CI, 1.01-1.03), anxiety disorder (PRR, 1.05; 95% CI, 1.04-1.07), chronic pain (PRR, 1.10; 95% CI, 1.07-1.13), chronic obstructive pulmonary disease (PRR, 1.05; 95% CI, 1.04-1.07), or cardiovascular disease (PRR, 1.02; 95% CI, 1.01-1.03).

CONCLUSIONS AND RELEVANCE

Long-term concurrent use of stimulants and opioids among adults with ADHD is common. This study suggests that clinical and research priorities should be made toward understanding the benefits and risks of long-term coadministration of stimulants and opioids in the management of ADHD and co-occurring pain conditions.

National Variation in Opioid Prescribing and Risk of Prolonged Use for Opioid-Naive Patients Treated in the Emergency Department for Ankle Sprains

STUDY OBJECTIVE

To inform opioid stewardship efforts, we describe the variation in emergency department (ED) opioid prescribing for a common minor injury, ankle sprain, and determine the association between initial opioid prescription intensity and transition to prolonged opioid use.

METHODS

We analyzed 2011 to 2015 US private insurance claims (Optum Clinformatics DataMart) for ED-treated ankle sprains among opioid-naive patients older than 18 years. We determined the patient- and state-level variation in the opioid prescription rate and characteristics, and the risk-adjusted association between total morphine milligram equivalents (MMEs) of the prescription and transition to prolonged use (filling 4 or more opioid prescriptions 30 to 180 days after the index visit).

RESULTS

A total of 30,832 patients met inclusion criteria. Of these patients, 25.1% received an opioid prescription with a median total MME of 100 (interquartile range 75 to 113), tablet quantity of 15 (interquartile range 12 to 20), and days supplied of 3 (interquartile range 2 to 4). State-level prescribing rates ranged from 2.8% in North Dakota to 40.0% in Arkansas. Among patients who received a total MME of greater than 225 (equivalent to >30 tabs of oxycodone 5 mg), the adjusted rate of prolonged opioid use was 4.9% (95% CI 1.8% to 8.1%) compared with 1.1% (95% CI 0.7% to 1.5%) among those who received at total MME of 75 and 0.5% (95% CI 0.4% to 0.6%) among those who did not fill an opioid prescription.

CONCLUSION

Opioid prescribing for ED patients treated for ankle sprains is common and highly variable. Although infrequent in this population, prescriptions greater than 225 MME were associated with higher rates of prolonged opioid use. This is concerning because these prescriptions could still fall within 5- or 7-day supply limit policies aimed at promoting safer opioid prescribing.

Overview of Prescription Opioid Deaths in the Oklahoma State Medicaid Population, 2012-2016

BACKGROUND

Medicaid members are predisposed to unintentional prescription opioid overdose. However, little is known about their individual risk factors.

OBJECTIVES

To describe demographic and clinical characteristics, medical utilization, opioid use, concurrent use of benzodiazepines, risk factors, and substances involved in death for Oklahoma's Medicaid members who died of unintentional prescription opioid poisoning.

SUBJECTS

Decedents who were Medicaid eligible in Oklahoma during the year of death, had an opioid recorded in cause of death, and had ≥1 opioid prescription claim between January 1, 2011 and June 30, 2016 were cases. Controls were living Medicaid members and were matched 3:1 to cases through propensity score matching.

MEASURES

Demographics, clinical characteristics, and medical/pharmacy utilization were examined in the 12 months before the index date.

RESULTS

Of 639 members with fatal unintentional prescription opioid overdoses, 321 had ≥1 opioid prescription claim in the year before death; these were matched to 963 controls. Compared with controls, decedents had significantly greater proportions of nonopioid substance use disorders, opioid abuse/dependence, hepatitis, gastrointestinal bleeding, trauma not involving motor vehicle accidents, nonopioid poisonings, and mental illness disorders. Decedents had significantly higher daily morphine milligram equivalent doses (67.2±74.4 vs. 47.2±50.9 mg) and greater opioid/benzodiazepine overlap (70.4% vs. 35.9%). Benzodiazepines were involved in 29.3% of deaths.

CONCLUSIONS

Several comorbidities indicative of opioid use disorder and greater exposure to opioids and concomitant benzodiazepines were associated with unintentional prescription opioid overdose fatalities. Prescribers and state agencies should be aware of these addressable patient-level factors among the Medicaid population. Targeting these factors with appropriate policy interventions and education may prevent future deaths.

Effects of a prior authorization policy for extended-release/long-acting opioids on utilization and outcomes in a state Medicaid program

BACKGROUND AND AIMS

In response to the opioid overdose epidemic, US state Medicaid programs have adopted restrictive policies for opioid analgesics, yet effects on prescribing patterns and health outcomes are uncertain. This study aimed to examine effects of a prior authorization policy for extended-release/long-acting (ER/LA) opioids on opioid use in the Oklahoma, USA state Medicaid program.

DESIGN

Retrospective difference-in-differences design study comparing changes in opioid use in Oklahoma Medicaid to control (Oregon Medicaid).

SETTING

Oklahoma and Oregon, USA.

PARTICIPANTS

Medicaid beneficiaries in the Oklahoma and Oregon fee-for-service Medicaid programs between July 2007 and June 2009 (33 724 in Oklahoma and 13 520 in Oregon) MEASUREMENTS: The primary outcome was incident opioid-naive ER/LA opioid use. Secondary outcomes included other opioid and non-opioid pain medication use. We also examined indicators of high-risk prescribing (e.g. high-dosage opioid use) and opioid-related hospitalizations or emergency department (ED) visits.

FINDINGS

The prior authorization policy was associated with a 0.7 percentage point reduction in the likelihood of incident opioid-naive ER/LA opioid use [95% confidence interval (CI) = -1.16 to -0.33 percentage points; 70% pre-policy mean reduction, a 1.4 percentage point decrease in likelihood of any new ER/LA opioid prescriptions (95% CI = -2.1 to -0.7 percentage points; 33% pre-policy mean reduction) and a decline of 0.16 in total ER/LA opioid prescriptions per enrollee (PPE) (95% CI = -0.29 to -0.04 PPE)]. There was a significant increase in the number of short-acting opioids filled after the policy (0.36; 95% CI = 0.22-0.50 PPE), increases in likelihood of having overlapping opioids and benzodiazepines, but significant reductions in likelihood of having overlapping opioids. No significant changes in opioid-related hospitalizations or ED visits were observed.

CONCLUSIONS

In Oklahoma, USA's July 2008 prior authorization policy for extended-release/long-acting opioids appears to have reduced the number of opioid-naive patients initiating extended-release/long-acting opioid use by more than half, but may also have increased short-acting opioid prescriptions by 7%.