Prescription Drug Monitoring Programs and Death Rates from Drug Overdose

Examining Racial/Ethnic Differences in Patterns of Opioid Prescribing: Results from an Urban Safety-Net Healthcare System

Prescription opioids still account for a large proportion of overdose deaths and contribute to opioid use dependence (OUD). Studies earlier in the epidemic suggest clinicians were less likely to prescribe opioids to racial/ethnic minorities. As OUD-related deaths have increased disproportionately amongst minority populations, it is essential to understand racial/ethnic differences in opioid prescribing patterns to inform culturally sensitive mitigation efforts. The purpose of this study is to estimate racial/ethnic differences in opioid medication use among patients prescribed opioids. Using electronic health records and a retrospective cohort study design, we estimated multivariable hazard models and generalized linear models, assessing racial/ethnic differences in OUD diagnosis, number of opioid prescriptions, receiving only one opioid prescription, and receiving ≥18 opioid prescriptions. Study population (N=22,201) consisted of adult patients (≥18years), with ≥3 primary care visits (ensuring healthcare system linkage), ≥1 opioid prescription, who did not have an OUD diagnoses prior to the first opioid prescription during the 32-month study period. Relative to racial/ethnic minority patients, White patients, in both unadjusted and adjusted analyses, had a greater number of opioid prescriptions filled, a higher proportion received ≥18 opioid prescriptions, and a greater hazard of having an OUD diagnosis subsequent to receiving an opioid prescription (all groups p<0.001). Although opioid prescribing rates have declined nationally, our findings suggest White patients still experience a high volume of opioid prescriptions and greater risk of OUD diagnosis. Racial/ethnic minorities are less likely to receive follow-up pain medications, which may signal low care quality. Identifying provider bias in pain management of racial/ethnic minorities could inform interventions seeking balance between adequate pain treatment and risk of opioid misuse/abuse.

Discrepancies Between the Electronic Medical Record and Website Access to the Prescription Drug Monitoring Program

The US opioid crisis has affected many patients across the age spectrum. Yet little has been reported on the effects of this crisis on cancer patients. Prescription drug monitoring programs have emerged as potential tools to mitigate risks of opioid prescribing, but they are not without limitations. We present a case of missing opioid prescriptions on EMR integrated PDMP versus the web based PDMP. A full review of PDMP integration is needed to identify gaps as these pose a significant patient safety issue.

Efficacy of interventions targeted at physician prescribers of opioids for chronic non-cancer pain: an overview of systematic reviews

BACKGROUND

To combat the opioid crisis, interventions targeting the opioid prescribing behaviour of physicians involved in the management of patients with chronic non-cancer pain (CNCP) have been introduced in clinical settings. An integrative synthesis of systematic review evidence is required to better understand the effects of these interventions. Our objective was to synthesize the systematic review evidence on the effect of interventions targeting the behaviours of physician opioid prescribers for CNCP among adults on patient and population health and prescriber behaviour.

METHODS

We searched MEDLINE, Embase, and PsycInfo via Ovid; the Cochrane Database of Systematic Reviews; and Epistemonikos. We included systematic reviews that evaluate any type of intervention aimed at impacting opioid prescriber behaviour for adult CNCP in an outpatient setting.

RESULTS

We identified three full texts for our review that contained 68 unique primary studies. The main interventions we evaluated were structured prescriber education (one review) and prescription drug monitoring programmes (PDMPs) (two reviews). Due to the paucity of data available, we could not determine with certainty that education interventions improved outcomes in deprescribing. There is some evidence that PDMPs decrease the number of adverse opioid-related events, increase communication among healthcare workers and patients, modify healthcare practitioners' approach towards their opioid prescribed patients, and offer more chances for education and counselling.

CONCLUSIONS

Our overview explores the possibility of PDMPs as an opioid deprescribing intervention and highlights the need for more high-quality primary research on this topic.

Effects of Opioid-Limiting Legislation in the State of Ohio on Opioid Prescriptions After Shoulder Arthroscopy

Background

Recent studies have shown that legislation regulating opioid prescriptions in the United States has been successful in reducing the morphine milligram equivalent (MME) prescribed after certain orthopaedic procedures.

Purpose

To (1) determine the effect of Ohio's legislation limiting opioid prescriptions after shoulder arthroscopy and (2) identify risk factors associated with prolonged opioid use and increased postoperative opioid dosing.

Study Design

Cohort study; Level of evidence, 3.

Methods

We reviewed the data of patients who underwent shoulder arthroscopy between January 1, 2016, and March 31, 2020. Patients were classified according to the date of legislation passage (August 31, 2017) as before legislation (PRE) or on/after legislation (POST). Patients were also classified based on the number of opioid prescriptions filled within 30 days of surgery as opioid-tolerant (at least 1 prescription) or opioid-naïve (zero prescriptions). We recorded patient characteristics, medical comorbidities, and surgical details, as well as the number of opioid prescriptions, MME per prescription from 30 days preoperatively to 90 days postoperatively, and the number of gamma-aminobutyric acid (GABA) analogues and benzodiazepine prescriptions from 30 days preoperatively to the date of surgery. Differences between cohorts were compared with the Fisher exact test and Wilcoxon test. A covariate-adjusted regression analysis was used to evaluate risk factors associated with increased postoperative opioid dosing.

Results

Overall, 279 patients (n = 97 PRE; n = 182 POST; n = 42 opioid-tolerant; n = 237 opioid-naïve) were included in the final analysis. There was a significant reduction in the cumulative MME prescribed in the immediate (0-7 days) postoperative period (PRE, 450 MME vs POST, 315 MME), the first 30 postoperative days (PRE, 590 MME vs POST, 375 MME), and the first 90 postoperative days (PRE, 600 MME vs POST, 420 MME) (P < .001 for all). The opioid-tolerant cohort had higher MME at every time point in the postoperative period (P < .001). Consumption of preoperative opioid (β = 1682.5; P < .001), benzodiazepine (β = 468.09; P < .001), and GABA analogue (β = 251.37; P = .04) was associated with an increase in the cumulative MME prescribed.

Conclusion

Opioid prescription-limiting legislation in Ohio significantly reduced the cumulative MME prescribed in the first 30 days postoperatively for both opioid-naïve and opioid-tolerant patients after shoulder arthroscopy. Consumption of opioids, benzodiazepines, and GABA analogues preoperatively was associated with increased postoperative opioid dosage.

The prescription drug monitoring program in a multifactorial approach to the opioid crisis: PDMP data, Pennsylvania, 2016-2020

BACKGROUND

Prescription opioids remain an important contributor to the United States opioid crisis and to the development of opioid use disorder for opioid-naïve individuals. Recent legislative actions, such as the implementation of state prescription drug monitoring programs (PDMPs), aim to reduce opioid morbidity and mortality through enhanced tracking and reporting of prescription data. The primary objective of our study was to describe the opioid prescribing trends in the state of Pennsylvania (PA) as recorded by the PA PDMP following legislative changes in reporting guidelines, and discuss the PDMP's role in a multifactorial approach to opioid harm reduction.

METHODS

State-level opioid prescription data summaries recorded by the PA PDMP for each calendar quarter from August 2016 through March 2020 were collected from the PA Department of Health. Data for oxycodone, hydrocodone, and morphine were analyzed by quarter for total prescription numbers and refills. Prescription lengths, pill quantities, and average morphine milliequivalents (MMEs) were analyzed by quarter for all 14 opioid prescription variants recorded by the PA PDMP. Linear regression was conducted for each group of variables to identify significant differences in prescribing trends.

RESULTS

For total prescriptions dispensed, the number of oxycodone, hydrocodone, and morphine prescriptions decreased by 34.4, 44.6, and 22.3% respectively (p < 0.0001). Refills fluctuated less consistently with general peaks in Q3 of 2017 and Q3 of 2018 (p = 0.2878). The rate of prescribing for all opioid prescription lengths decreased, ranging in frequency from 22 to 30 days (47.5% of prescriptions) to 31+ days of opioids (0.8% of prescriptions) (p < 0.0001). Similarly, decreased prescribing was observed for all prescription amounts, ranging in frequency from 22 to 60 pills (36.6% of prescriptions) to 60-90 pills (14.2% of prescriptions) (p < 0.0001). Overall, the average MME per opioid prescription decreased by 18.9%.

CONCLUSIONS

Per the PA PDMP database, opioid prescribing has decreased significantly in PA from 2016 to 2020. The PDMP database is an important tool for tracking opioid prescribing trends in PA, and PDMPs structured similarly in other states may enhance our ability to understand and influence the trajectory of the U.S. opioid crisis. Further research is needed to determine optimal PDMP policies and practices nationwide.

Association of Prescription Drug Monitoring Programs With Opioid Prescribing and Overdose in Adolescents and Young Adults

STUDY OBJECTIVE

Prescription opioid use is associated with substance-related adverse outcomes among adolescents and young adults through a pathway of prescribing, diversion and misuse, and addiction and overdose. Assessing the effect of current prescription drug monitoring programs (PDMPs) on opioid prescribing and overdoses will further inform strategies to reduce opioid-related harms.

METHODS

We performed interrupted time series analyses to measure the association between state-level implementation of PDMPs with annual opioid prescribing and opioid-related overdoses in adolescents (13 to 18 years) and young adults (19 to 25 years) between 2008 and 2019. We focused on PDMPs that included mandatory reviews by providers. Data were obtained from a commercial insurance company.

RESULTS

Among 9,344,504 adolescents and young adults, 1,405,382 (15.0%) had a dispensed opioid prescription, and 6,262 (0.1%) received treatment for an opioid-related overdose. Mandated PDMP review was associated with a 4.2% (95% CI, 1.9% to 6.4%) reduction in annual opioid dispensations among adolescents and a 7.8% (95% CI, 4.7% to 10.9%) annual reduction among young adults. For opioid-related overdoses, mandated PDMP review was associated with a 16.1% (95% CI, 3.8 to 26.7) and 15.9% (95% CI, 7.6 to 23.4) reduction in annual opioid overdoses for adolescents and young adults, respectively.

CONCLUSION

PDMPs were associated with sustained reductions in opioid prescribing and overdoses in adolescents and young adults. Although these findings support the value of mandated PDMPs as part of ongoing strategies to reduce opioid overdoses, further studies with prospective study designs are needed to characterize the effect of these programs fully.

Opioid prescription trends among American Head and Neck Society fellowship graduates

BACKGROUND

Opioids are commonly used to manage the pain of head and neck (HN) cancer patients.

METHODS

Retrospective cohort of graduates from American Head and Neck Society accredited fellowships from 1997 to 2018. The Center for Medicare and Medicaid Services Part D Provider Utilization and Payment database 2014-2019 was cross-referenced with provider names to identify opioid prescription trends.

RESULTS

From 2014 to 2019, there was no significant difference in the average number of opioid beneficiaries per provider (18.02 vs. 18.10, p = 0.586) or opioid claims per provider (28.06 vs. 26.73, p = 0.708). The average total opioid day supply per beneficiary declined from 11.09 to 7.05 days from 2014 to 2019 (p < 0.001). In 2019, providers in the Northeast had the lowest prescribed opioid day supply (3.67 days) compared to those from the South who had the highest (10.32 days).

CONCLUSIONS

Opioid prescription length has significantly declined among HN surgeons, with variations across geographic regions.

National Estimates and Physician-Reported Impacts of Prescription Drug Monitoring Program Use

BACKGROUND

Despite widespread adoption of state prescription drug monitoring programs (PDMPs), it is unclear how often PDMPs are accessed through an electronic health record system (EHR-PDMP integration), or whether efforts to make PDMPs easier to access and use have improved their utility.

OBJECTIVE

To produce national-level estimates on the use of PDMPs among office-based physicians and benefits associated with their use.

DESIGN

We use nationally representative survey data to produce descriptive statistics on PDMP use and associated benefits among office-based physicians in the USA.

PARTICIPANTS

1398 office-based physicians who prescribe controlled substances.

MAIN MEASURES

We examined physician-reported ease and frequency of PDMP use, and how EHR-PDMP integration affects frequency and ease of use. Multivariate models were used to assess whether characteristics of PDMP use were related to physician-reported benefits such as reduced prescribing of controlled substances and perceived improvements in clinical decision-making.

KEY RESULTS

In 2019, two-thirds of office-based physicians in the USA reported frequent use of their state PDMP and over three-quarters reported they were easy to use. Both frequency and ease of use were positively correlated with PDMP integration status. Respondents who frequently checked their state's PDMP were 8.7 percentage points (95% CI -.4 to 17.8) more likely to report perceived benefits and reported 2.2 (95% CI 1.54 to 2.83) more benefits. Respondents who indicated their PDMP was easy to use were 12.7 percentage points (95% CI .040 to .214) more likely to report perceived benefits and reported 0.94 (95% CI 0.26 to 1.61) more benefits.

CONCLUSIONS

Our findings suggest efforts to make PDMPs easier to access and use aided physicians in making informed clinical decisions that may not be captured by reduced prescribing alone. Efforts to further increase frequency and ease of use-including advancing a standards-based approach to PDMP and EHR data interoperability-may further increase the benefit of PDMPs.

"1,000 conversations I'd rather have than that one:" A qualitative study of prescriber experiences with opioids and the impact of a prescription drug monitoring program

BACKGROUND

Prescription Drug Monitoring Programs (PDMPs) have shown impacts on a number of opioid-related outcomes but their role in clinician emotional experience of opioid prescribing has not been studied.

OBJECTIVES

This study explores the impact of PDMPs on clinician attitudes toward and comfort with opioid prescribing, their satisfaction with patient interactions involving discussion of opioid prescriptions, and their recognition of opioid use disorder (OUD) and ability to refer patients to treatment.

METHODS

Researchers conducted semi-structured interviews with five physicians and two nurse practitioners from a variety of specialties and practice environments.

RESULTS

Many participants reported negative emotions surrounding opioid-related patient encounters, with decreased anxiety related to PDMP availability. These effects were less pronounced with clinicians who had greater opioid prescribing experience (either longer careers or higher-volume pain practices). Many participants felt uncomfortable around opioid prescribing. Data from the PDMP often changed prescribing practices, sometimes leading to greater comfort writing a prescription that might have felt riskier without PDMP data. Clinicians easily recognized patient behaviors, symptoms, and prescription requests suggesting that opioid-related adverse events were accumulating, but did not usually apply a label of OUD to these situations. PDMP findings occasionally contributed to a diagnosis and treatment referral for OUD.

CONCLUSIONS

PDMP data is part of a nuanced approach to prescribing opioids. The objectivity of the data may be helpful in mitigating clinician negative emotions that are common around opioid therapy.

Harm Reduction: Not Dirty Words Any More

Although many of the tenets of harm reduction have been around for centuries and more traditional harm reduction services such as syringe services programs have been in existence for decades, there has been a recent increase in interest and acceptance of harm reduction as an essential component of a public health approach to substance use. This article provides an overview of harm reduction and its application to alcohol, tobacco, and drug use. It discusses the importance of integrating harm reduction principles and services with traditional psychiatric, medical, and addiction treatment programs.

Methodological considerations for estimating policy effects in the context of co-occurring policies

Understanding how best to estimate state-level policy effects is important, and several unanswered questions remain, particularly about the ability of statistical models to disentangle the effects of concurrently enacted policies. In practice, many policy evaluation studies do not attempt to control for effects of co-occurring policies, and this issue has not received extensive attention in the methodological literature to date. In this study, we utilized Monte Carlo simulations to assess the impact of co-occurring policies on the performance of commonly-used statistical models in state policy evaluations. Simulation conditions varied effect sizes of the co-occurring policies and length of time between policy enactment dates, among other factors. Outcome data (annual state-specific opioid mortality rate per 100,000) were obtained from 1999 to 2016 National Vital Statistics System (NVSS) Multiple Cause of Death mortality files, thus yielding longitudinal annual state-level data over 18 years from 50 states. When co-occurring policies are ignored (i.e., omitted from the analytic model), our results demonstrated that high relative bias (> 82%) arises, particularly when policies are enacted in rapid succession. Moreover, as expected, controlling for all co-occurring policies will effectively mitigate the threat of confounding bias; however, effect estimates may be relatively imprecise (i.e., larger variance) when policies are enacted in near succession. Our findings highlight several key methodological issues regarding co-occurring policies in the context of opioid-policy research yet also generalize more broadly to evaluation of other state-level policies, such as policies related to firearms or COVID-19, showcasing the need to think critically about co-occurring policies that are likely to influence the outcome when specifying analytic models.

Stigma by Association: To what Extent is the Attitude Toward Naloxone Affected by the Stigma of Opioid Use Disorder?

The United States opioid epidemic is fueled by illicit opioid abuse and prescription opioid misuse and abuse. Consequently, cases of opioid use disorder (OUD, opioid addiction), opioid overdose, and related deaths have increased since the year 2000. Naloxone is an opioid antagonist that rapidly reverses opioid intoxication to prevent death from overdose. It is one of the major risk mitigation strategies recommended in the 2016 Centers for Disease Control and Prevention Guideline for Prescribing Opioids for Chronic Pain. However, despite the exponential increase in dispensing and distribution of naloxone, opioid overdose and related deaths have continued to increase; suggesting that the increased naloxone supply still lags the need. This discordance is attributed at least in part to the negative attitude toward naloxone, which is based on the belief that naloxone is only meant for "addicts" and "abusers" (OUD patients). This negative attitude or so-called naloxone stigma is therefore considered a major barrier for naloxone distribution and consequently, overdose-death prevention efforts. This article presents evidence that challenges common assertions about OUD stigma being the sole and direct driving force behind naloxone stigma, and the purported magnitude of the barrier that naloxone stigma constitutes for naloxone distribution programs among the stakeholders (patients, pharmacists, and prescribers). The case was then made to operationalize and quantify the construct among the stakeholders to determine the extent to which OUD stigma drives naloxone stigma, and the relative impact of naloxone stigma as a barrier for naloxone distribution efforts.

The Impact of a PDMP-EHR Data Integration Combined With Clinical Decision Support on Opioid and Benzodiazepine Prescribing Across Clinicians in a Metropolitan Area

INTRODUCTION

Despite inconclusive evidence that prescription drug monitoring programs (PDMP) reduce opioid-related mortality, guidelines recommend PDMP review with opioid prescribing. Some reported barriers to use include time-consuming processes to obtain data and workflow disruptions.

METHODS

We provided access to a PMDP-electronic health record (EHR) integrated program to 123 clinicians in one healthcare system. Remaining clinicians within the healthcare system and metropolitan area did not receive PDMP-EHR integration program access. We identified changes in opioid prescribing by linking prescription data available in the state PMDP database to individual clinicians. The primary outcome was change in receipt of high dose opioid prescriptions (>90 mg morphine equivalents) by Colorado residents before and after program integration. Secondary outcomes included changes in long-acting opioid receipt and overlapping opioid and benzodiazepine prescription days. Next, we surveyed clinicians to assess their perspectives on PDMP data acquisition before and after PDMP-EHR integration program access.

RESULTS

High-dose opioid receipt decreased significantly across all 3 clinician groups [PDMP-EHR integration program access (27.6%, to 6.9%, P < 0.001); no program access in the same healthcare system (4.8% to 2.9%, P < 0.001), and no program access across the metropolitan area (13.5% to 6.1%, P < 0.001)]. Clinicians reported improved access to PDMP data using the PDMP-EHR integrated program compared to the state PDMP website (98.6%).

CONCLUSIONS

Further study of PDMP-EHR integration programs on patient and clinician outcomes may illuminate the role of this technology in public health and in clinical practice.

Effects of opioid-limiting legislation on postoperative opioid use in shoulder arthroplasty in an epidemic epicenter

BACKGROUND

The current opioid epidemic in the United States has become a public health crisis with an estimated 150 daily deaths and nearly 47,000 opioid-related deaths in the United States in 2017 alone. Sensible prescriber practice changes have been a focus of policymakers to decrease the total number of narcotic pain medications in circulation. In the state of Ohio, opioid prescription limits for acute pain were enacted in August 2017. However, given the association of acute opioid exposure with long-term use and lack of assessment of these policies, there is an unmet need to evaluate the effects of similar legislation in Ohio on postoperative opioid dosing after shoulder arthroplasty. This study evaluates the effects of opioid prescription-limiting legislation in Ohio on postoperative opioid dosing in shoulder arthroplasty and assesses risk factors related to long-term opioid use.

METHODS

All patients undergoing primary and revision shoulder arthroplasty over a 5-year period performed by a single surgeon were included. The pre-legislation (PRE) and post-legislation (POST) groups were defined as patients undergoing shoulder arthroplasty before August 31, 2017 and on or after August 31, 2017, respectively. The Ohio Automated Rx Reporting System was queried for controlled-substance prescriptions from 30 days preoperatively to 90 days postoperatively. Patients were designated as opioid tolerant if they had filled an opioid prescription within 30 days of surgery. A binary logistic regression analysis was applied to assess factors related to long-term opioid use.

RESULTS

A total of 334 patients were categorized into 2 cohorts: PRE (n = 99) and POST (n = 235). Accounting for legislative effects, we observed significant reductions in cumulative morphine milligram equivalent (MME) dosing in the opioid-naive patients in the 7-day and 30-day postoperative periods (450.0 MMEs in PRE group vs. 210.0 MMEs in POST group, P < .001) and in the opioid-tolerant patients in the 7-day postoperative period (450.0 MMEs in PRE group vs. 250.0 MMEs in POST group, P = .001). Among the opioid-naive patients, the POST group had a significant MME reduction in the 90-day postoperative period relative to the PRE cohort (P < .001). Preoperative opioid tolerance and benzodiazepine tolerance were independent risk factors for increased MME dosing at 90 days postoperatively (P < .001 and P = .02, respectively).

CONCLUSION

Opioid prescription-limiting legislation for acute pain in the state of Ohio is associated with a notable reduction in opioid MME dosing in the 90-day postoperative period after shoulder arthroplasty, particularly in opioid-naive patients in the first 30 days postoperatively. Preoperative opioid tolerance is correlated with significantly higher MME dosing postoperatively after shoulder arthroplasty.

The effect of state policies on rates of high-risk prescribing of an initial opioid analgesic

BACKGROUND

Multiple state policies, such as prescription drug monitoring programs (PDMPs) and duration limits, have been implemented to decrease high-risk opioid prescribing. Studies demonstrate that many policies decrease certain opioid prescribing behaviors, but few examine their intended effects on the targeted high-risk prescribing practices, nor disentangle the effects of concurrent state or federal policies likely to influence those practices.

METHODS

Forty-one million initial prescriptions for new opioid episodes from 2007 to 2018 were identified using national pharmacy claims. We identified high-risk initial prescriptions, defined as >7 days' supply, average daily MME >90, or concurrent with benzodiazepines and estimated three multivariable logistic regression models to assess the association between policies and outcomes controlling for patient, prescriber, and county characteristics.

RESULTS

Initial prescriptions for >7 days declined from 23.8% in 2007 to 14.9% in 2018, associated with mandatory and interoperable PDMPs and prescription duration limits but not other policies examined. Initial prescriptions with daily MME > 90 declined from 13.2% to 1.9%, associated with pain management clinic laws but not consistently with other policies. Initial prescriptions concurrent with benzodiazepines declined only modestly from 6.9% to 6.5%, associated with pain management clinic laws but not other policies examined.

CONCLUSIONS

The opioid policy environment has changed rapidly with a range of different policies being implemented addressing high-risk prescribing. PDMP laws mandating prescriber use and pain clinic laws both appear efficacious but decrease different types of high-risk opioid prescribing. New policies should be considered in light of the prevalence of the problem being addressed.

Moving beyond the classic difference-in-differences model: a simulation study comparing statistical methods for estimating effectiveness of state-level policies

BACKGROUND

Reliable evaluations of state-level policies are essential for identifying effective policies and informing policymakers' decisions. State-level policy evaluations commonly use a difference-in-differences (DID) study design; yet within this framework, statistical model specification varies notably across studies. More guidance is needed about which set of statistical models perform best when estimating how state-level policies affect outcomes.

METHODS

Motivated by applied state-level opioid policy evaluations, we implemented an extensive simulation study to compare the statistical performance of multiple variations of the two-way fixed effect models traditionally used for DID under a range of simulation conditions. We also explored the performance of autoregressive (AR) and GEE models. We simulated policy effects on annual state-level opioid mortality rates and assessed statistical performance using various metrics, including directional bias, magnitude bias, and root mean squared error. We also reported Type I error rates and the rate of correctly rejecting the null hypothesis (e.g., power), given the prevalence of frequentist null hypothesis significance testing in the applied literature.

RESULTS

Most linear models resulted in minimal bias. However, non-linear models and population-weighted versions of classic linear two-way fixed effect and linear GEE models yielded considerable bias (60 to 160%). Further, root mean square error was minimized by linear AR models when we examined crude mortality rates and by negative binomial models when we examined raw death counts. In the context of frequentist hypothesis testing, many models yielded high Type I error rates and very low rates of correctly rejecting the null hypothesis (< 10%), raising concerns of spurious conclusions about policy effectiveness in the opioid literature. When considering performance across models, the linear AR models were optimal in terms of directional bias, root mean squared error, Type I error, and correct rejection rates.

CONCLUSIONS

The findings highlight notable limitations of commonly used statistical models for DID designs, which are widely used in opioid policy studies and in state policy evaluations more broadly. In contrast, the optimal model we identified--the AR model--is rarely used in state policy evaluation. We urge applied researchers to move beyond the classic DID paradigm and adopt use of AR models.

Spatiotemporal Analysis of the Association Between Pain Management Clinic Laws and Opioid Prescribing and Overdose Deaths

Pain management clinic (PMC) laws were enacted by 12 states to promote appropriate opioid prescribing, but their impact is inadequately understood. We analyzed county-level opioid overdose deaths (National Vital Statistics System) and patients filling long-duration (≥30 day) or high-dose (≥90 morphine milligram equivalents per day) opioid prescriptions (IQVIA, Inc.) in the United States in 2010-2018. We fitted Besag-York-Mollié spatiotemporal models to estimate annual relative rates (RRs) of overdose and prevalence ratios (PRs) of high-risk prescribing associated with any PMC law and 3 provisions: payment restrictions, site inspections, and criminal penalties. Laws with criminal penalties were significantly associated with reduced PRs of long-duration and high-dose opioid prescriptions (adjusted PR = 0.82, 95% credible interval (CrI): 0.82, 0.82, and adjusted PR = 0.73, 95% CI: 0.73, 0.74 respectively) and reduced RRs of total and natural/semisynthetic opioid overdoses (adjusted RR = 0.86, 95% CrI: 0.80, 0.92, and adjusted RR = 0.84, and 95% CrI: 0.77, 0.92, respectively). Conversely, PMC laws were associated with increased relative rates of synthetic opioid and heroin overdose deaths, especially criminal penalties (adjusted RR = 1.83, 95% CrI: 1.59, 2.11, and adjusted RR = 2.59, 95% CrI: 2.22, 3.02, respectively). Findings suggest that laws with criminal penalties were associated with intended reductions in high-risk opioid prescribing and some opioid overdoses but raise concerns regarding unintended consequences on heroin/synthetic overdoses.

Changing the default option in electronic medical records reduced postoperative opioid prescriptions after cardiac surgery

Objective

Overprescribing of opioids has contributed to the opioid epidemic. Electronic medical records systems can auto-populate a default number of opioid pills that are prescribed at time of discharge. The aim of this study was to examine the association between lowered default pill counts with changed prescribing practices after cardiac surgery.

Methods

On May 18, 2017, the default number of pills prescribers see in electronic medical records in the Yale New Haven Health System was lowered from 30 to 12. Patients undergoing coronary artery grafts, valve surgeries, and thoracic aortic aneurysm surgeries were included in this study. Data were gathered and stratified into 2 groups: 1 year before and 1 year following the default change. The amount of opioid prescribed was compared between the 2 groups.

Results

A total of 1741 patient charts were reviewed, 832 before the change and 909 after the change. Significant changes were seen in prescribing practices, where the average amount of opioid prescribed was about 25% lower after the change. This amounted to about 15 fewer pills of 5 mg morphine for each patient. A linear regression model adjusting for other factors determined a prescribing difference of 75.2 morphine milligram equivalents per prescription (P < .01). In addition, a significant decrease in opioids prescribed was found for each type of procedure.

Conclusions

Lowering the default opioid pill count in electronic medical record systems is a simple intervention that may modify prescribing behavior to promote judicious prescribing of opioids after cardiac surgery.

Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test

BACKGROUND

Prescription drug monitoring programs (PDMPs) are critical for pharmacists to identify risky opioid medication use. We performed an independent evaluation of the PDMP-based Narcotic Score (NS) metric.

METHODS

This study was a one-time, cross-sectional health assessment within 19 pharmacies from a national chain among adults picking-up opioid medications. The NS metric is a 3-digit composite indicator. The WHO Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was the gold-standard to which the NS metric was compared. Machine learning determined optimal risk thresholds; Receiver Operating Characteristic curves and Spearman (P) and Kappa (K) coefficients analyzed concurrent validity. Regression analyses evaluated participant characteristics associated with misclassification.

RESULTS

The NS metric showed fair concurrent validity (area under the curve≥0.70; K=0.35; P = 0.37, p < 0.001). The ASSIST and NS metric categorized 37% of participants as low-risk (i.e., not needing screening/intervention) and 32.3% as moderate/high-risk (i.e., needing screening/intervention). Further, 17.2% were categorized as low ASSIST risk but moderate/high NS metric risk, termed false positives. These reported disability (OR=3.12), poor general health (OR=0.66), and/or greater pain severity/interference (OR=1.12/1.09; all p < 0.05; i.e., needing unmanaged-pain screening/intervention). A total of 13.4% were categorized as moderate/high ASSIST risk but low NS metric risk, termed false negatives. These reported greater overdose history (OR=1.24) and/or substance use (OR=1.81-12.66; all p < 0.05).

CONCLUSIONS

The NS metric could serve as a useful initial universal prescription opioid-risk screener given its: 1) low-burden (i.e., no direct assessment); 2) high accuracy (86.5%) of actionable data identifying low-risk patients and those needing opioid use/unmanaged pain screening/intervention; and 3) broad availability.

Tie Decay and Dissolution: Contentious Prescribing Practices in the Prescription Drug Epidemic

Although a substantial body of work has investigated drivers of tie formation, there is growing interest in understanding why relationships decay or dissolve altogether. The networks literature has tended to conceptualize tie decay as driven by processes similar to those underlying tie formation. Yet information that is revealed through ongoing interactions can exert different effects on tie formation and tie decay. This paper investigates how tie decay and tie formation processes differ by focusing on contentious practices. To the extent that information about dissimilarities in contentious practices is learned through ongoing interactions, it can exert diverging effects on tie formation and tie decay. Using a longitudinal data set of 141,543 physician dyads, we find that differences in contentious prescribing led ties to weaken or dissolve altogether but did not affect tie formation. The more contentious the practice and the more information available about the practice, the stronger the effect on tie decay and dissolution. Collectively, these findings contribute to a more nuanced understanding of relationship evolution as an unfolding process through which deeper-level differences are revealed and shape the outcome of the tie.

Can electronic prescribing mandates reduce opioid-related overdoses?

As the opioid crisis has escalated, states have enacted numerous policies targeting opioid access and monitoring possible misuse. Recently, the majority of states have passed electronic prescribing mandates for controlled substances. These mandates require that controlled substances be prescribed electronically directly to the pharmacy. The electronic system maintains a rich patient history that prescribers will observe when issuing a prescription while also reducing opportunities for fraud. The first enforced mandate was implemented in New York in March 2016; thus empirical evidence about the effects of such mandates is limited. We study how adoption of the New York e-prescribing mandate affected opioid supply and opioid-related overdoses. We estimate that the mandate reduced the rate of overdoses involving natural and semi-synthetic opioids by 22 %. We find little evidence of any corresponding changes in overdose rates involving illicit opioids.

American Rhinologic Society expert practice statement: Postoperative pain management and opioid use after sinonasal surgery

The goal of this American Rhinologic Society expert practice statement (EPS) is to provide clinically applicable, evidence-based recommendations regarding pain management in sinonasal surgery. This EPS was developed following the recommended methodology and approval process as previously outlined. The topics of interest included preoperative counseling, local anesthesia, use of opioids for postoperative pain, use of nonopioid medication for postoperative pain, nonsteroidal anti-inflammatory drugs and bleeding, and use of gabapentin for pain control. Following a modified Delphi approach, 6 statements were developed, 5 of which reached consensus and 1 that did not. These statements and accompanying evidence are summarized along with an assessment of future needs.

Commercial Fishing as an Occupational Determinant of Opioid Overdoses and Deaths of Despair in Two Massachusetts Fishing Ports, 2000-2014

The opioid epidemic has had disproportionate effects across various sectors of the population, differentially impacting various occupations. Commercial fishing has among the highest rates of occupational fatalities in the United States. This study used death certificate data from two Massachusetts fishing ports to calculate proportionate mortality ratios of fatal opioid overdose as a cause of death in commercial fishing. Statistically significant proportionate mortality ratios revealed that commercial fishermen were greater than four times more likely to die from opioid poisoning than nonfishermen living in the same fishing ports. These important quantitative findings suggest opioid overdoses, and deaths to diseases of despair in general, deserve further study in prevention, particularly among those employed in commercial fishing.

Query mandates in prescription drug monitoring programs reduce opioid use among commercially insured patients with cancer

BACKGROUND

Prescription drug monitoring programs (PDMPs) have been shown to reduce opioid use in the general and noncancer populations. However, evidence of PDMP impacts on patients with cancer remains limited.

OBJECTIVE

The aim of the study was to examine the impact of PDMP mandates on individual-level opioid use among patients with cancer.

METHODS

This is a retrospective cohort study of patients with newly diagnosed cancer aged 18-65 years in the IQVIA PharMetrics Plus database (IQVIA Inc; nationally representative data of the U.S. commercially insured population in 49 states) between 2013 and 2015. The primary exposure was PDMP rigor (ranked from highest to lowest rigor): provider query + registration, query only, registration only, and unexposed. The study outcomes included (1) prevalent use among all individuals; and among opioid users (2) total days supplied, (3) daily morphine equivalent dose (MED), and (4) cumulative MED.

RESULTS

Of the eligible cohort (n=28,353), 37.5% (10,656) received opioids after a cancer diagnosis. The individuals exposed to these mandates were as follows: query + registration: 3899 (13.8%); query only: 3459 (12.2%); registration only: 2764 (9.7%); and no mandates: 18,231 (64.3%). The PDMP mandates had no effect on prevalent opioid use. Compared with unexposed patients, those subject to query mandates-alone or with registration mandates-experienced 12 fewer opioid days supplied and a lower mean cumulative MED (-662 mg and -702 mg, respectively), P < 0.01. Registration-only mandates were associated with 21 days more (P < 0.01) total days supplied and lower daily MED (1.1 mg; P < 0.05) but had no statistically significant effect on cumulative MED (-46 mg, P > 0.05).

CONCLUSION

Query mandates are a stronger PDMP tool than registration mandates in reducing opioid days supplied and cumulative MED. Initiatives should target PDMP mandates toward intended patient groups to reduce high-risk opioid use without compromising adequate pain treatment.

Prescription Drug Monitoring Programs and Opioid Prescriptions for Disability Conditions

BACKGROUND

There are variants of prescription drug monitoring programs (PDMPs) and different groups of patients who are prescribed opioids. Patients with disabilities and those with chronic conditions might have different experiences in physician prescribing practices for opioids, when compared to a comparison group without these conditions.

OBJECTIVE

To determine differences in opioid prescriptions related to PDMPs for people without cancer-related pain and with disability conditions compared to other adult opioid users without cancer, using a national database.

METHOD

Opioid users were identified from the US Medical Expenditure Panel Survey. Disability groups were defined by diagnosis codes related to longstanding physical disability and inflammatory conditions. Our analyses used an event study framework and a difference-in-differences approach.

RESULTS

During a two-year panel period, PDMPs did not reduce opioid prescriptions for individuals with disabilities who use opioids. Our data show that individuals with disabilities who use opioids, on average, have a higher incidence of continuous opioid use and significantly greater amounts prescribed compared to other adults who have opioid prescriptions.

CONCLUSION

PDMPs do not appear to affect prescribers' initial or ongoing use of opioids for individuals with longstanding physical disabilities and those with inflammatory conditions. Thus, these adults have greater exposure to opioids, compared to other adults who were prescribed opioids.

Measuring Relationships Between Proactive Reporting State-level Prescription Drug Monitoring Programs and County-level Fatal Prescription Opioid Overdoses

BACKGROUND

Prescription drug monitoring programs (PDMPs) that collect and distribute information on dispensed controlled substances have been adopted by nearly all US states. We know little about program characteristics that modify PDMP impact on prescription opioid (PO) overdose deaths.

METHODS

We measured associations between adoption of any PDMP and changes in fatal PO overdoses in 2002-2016 across 3109 counties in 49 states and D.C. We then measured changes related to the adoption of "proactive PDMPs," which report outlying prescribing/dispensing patterns and provide broader access to PDMP data by law enforcement. Comparisons were made within 3 time intervals that broadly represent the evolution of PDMPs (2002-2004, 2005-2009, and 2010-2016). We modeled overdoses using Bayesian space-time models.

RESULTS

Adoption of electronic PDMP access was associated with 9% lower rates of fatal PO overdoses after three years (rate ratio [RR] = 0.91, 95% credible interval [CI]: 0.88-0.93) with well-supported effects for methadone (RR = 0.86,95% CI: 0.82-0.90) and other synthetic opioids (RR = 0.82, 95% CI: 0.77-0.86). Compared with states with no/weak PDMPs, proactive PDMPs were associated with fewer deaths attributed to natural/semi-synthetic opioids (2002-2004: RR = 0.72 [0.66-0.78]; 2005-2009: RR = 0.93 [0.90-0.97]; 2010-2016: 0.89 [0.86-0.92]) and methadone (2002-2004: RR = 0.77 [0.69-0.85]; 2010-2016: RR = 0.90 [0.86-0.94]). Unintended effects were observed for synthetic opioids other than methadone (2005-2009: RR = 1.29 [1.21-1.38]; 2010-2016: RR = 1.22 [1.16-1.29]).

CONCLUSIONS

State adoption of PDMPs was associated with fewer PO deaths overall while proactive PDMPs alone were associated with fewer deaths related to natural/semisynthetic opioids and methadone, the specific targets of these programs. See video abstract at, http://links.lww.com/EDE/B619.

Implications of county-level variation in U.S. opioid distribution

BACKGROUND

Prescription opioids accounted for the majority of opioid-related deaths in the United States prior to 2010, and continue to contribute to opioid misuse and mortality. We used a novel dataset to investigate the distributional patterns of prescription opioids, whether opioid pill volume was associated with opioid-related mortality, and whether early state Medicaid expansions were associated with either pill volume or opioid-related mortality.

METHODS

Data on opioid shipments to retail pharmacies for 2006-2013 were obtained from the U.S. Drug Enforcement Administration, and opioid-related deaths (ORDs) were obtained from the Centers for Disease Control and Prevention. We first compared characteristics of counties in the highest and lowest quartiles for per capita pill volume (PCPV). We used adjusted difference-in-differences regression models to identify factors associated with PCPV or ORDs, and whether early state Medicaid expansions were associated with either outcome. All models were estimated as linear regressions with standard errors clustered by county, and weighted by county population.

RESULTS

We found large geographic variations in opioid distribution, and this variation appears to be driven by differences in demographics, healthcare access, and healthcare supply. In adjusted models, a one-pill increase in PCPV was associated with a 0.20 increase in ORDs per 100,000 population (95 % CI 0.11-0.30). Early Medicaid expansions were associated with lower PCPV (-2.20, 95 % CI -2.97 to -1.43).

CONCLUSIONS

Our findings validate the relationship between PCPV and ORDs, identify important environmental drivers of the opioid epidemic, and suggest early state Medicaid expansions were beneficial in reducing opioid pill volume.

Systematic Evaluation of State Policy Interventions Targeting the US Opioid Epidemic, 2007-2018

Importance

In response to the increase in opioid overdose deaths in the United States, many states recently have implemented supply-controlling and harm-reduction policy measures. To date, an updated policy evaluation that considers the full policy landscape has not been conducted.

Objective

To evaluate 6 US state-level drug policies to ascertain whether they are associated with a reduction in indicators of prescription opioid abuse, the prevalence of opioid use disorder and overdose, the prescription of medication-assisted treatment (MAT), and drug overdose deaths.

Design, Setting, and Participants

This cross-sectional study used drug overdose mortality data from 50 states obtained from the National Vital Statistics System and claims data from 23 million commercially insured patients in the US between 2007 and 2018. Difference-in-differences analysis using panel matching was conducted to evaluate the prevalence of indicators of prescription opioid abuse, opioid use disorder and overdose diagnosis, the prescription of MAT, and drug overdose deaths before and after implementation of 6 state-level policies targeting the opioid epidemic. A random-effects meta-analysis model was used to summarize associations over time for each policy and outcome pair. The data analysis was conducted July 12, 2020.

Exposures

State-level drug policy changes to address the increase of opioid-related overdose deaths included prescription drug monitoring program (PDMP) access, mandatory PDMPs, pain clinic laws, prescription limit laws, naloxone access laws, and Good Samaritan laws.

Main Outcomes and Measures

The outcomes of interests were quarterly state-level mortality from drug overdoses, known indicators for prescription opioid abuse and doctor shopping, MAT, and prevalence of drug overdose and opioid use disorder.

Results

This cross-sectional study of drug overdose mortality data and insurance claims data from 23 million commercially insured patients (12 582 378 female patients [55.1%]; mean [SD] age, 45.9 [19.9] years) in the US between 2007 and 2018 found that mandatory PDMPs were associated with decreases in the proportion of patients taking opioids (-0.729%; 95% CI, -1.011% to -0.447%), with overlapping opioid claims (-0.027%; 95% CI, -0.038% to -0.017%), with daily morphine milligram equivalent greater than 90 (-0.095%; 95% CI, -0.150% to -0.041%), and who engaged in drug seeking (-0.002%; 95% CI, -0.003% to -0.001%). The proportion of patients receiving MAT increased after the enactment of mandatory PDMPs (0.015%; 95% CI, 0.002% to 0.028%), pain clinic laws (0.013%, 95% CI, 0.005%-0.021%), and prescription limit laws (0.034%, 95% CI, 0.020% to 0.049%). Mandatory PDMPs were associated with a decrease in the number of overdose deaths due to natural opioids (-518.5 [95% CI, -728.5 to -308.5] per 300 million people) and methadone (-122.7 [95% CI, -207.5 to -37.8] per 300 million people). Prescription drug monitoring program access policies showed similar results, although these policies were also associated with increases in overdose deaths due to synthetic opioids (380.3 [95% CI, 149.6-610.8] per 300 million people) and cocaine (103.7 [95% CI, 28.0-179.5] per 300 million people). Except for the negative association between prescription limit laws and synthetic opioid deaths (-723.9 [95% CI, -1419.7 to -28.1] per 300 million people), other policies were associated with increasing overdose deaths, especially those attributed to non-prescription opioids such as synthetic opioids and heroin. This includes a positive association between naloxone access laws and the number of deaths attributed to synthetic opioids (1338.2 [95% CI, 662.5 to 2014.0] per 300 million people).

Conclusions and Relevance

Although this study found that existing state policies were associated with reduced misuse of prescription opioids, they may have the unintended consequence of motivating those with opioid use disorders to access the illicit drug market, potentially increasing overdose mortality. This finding suggests that there is no easy policy solution to reverse the epidemic of opioid dependence and mortality in the US.

Causes of death among U.S. Veterans with a prior nonfatal opioid overdose

BACKGROUND

For over a decade, there has been a surge in opioid-related morbidity and mortality among Veterans. To better understand the impact of the growing epidemic, it is important to identify the cause-specific mortality rates among Veterans with a prior nonfatal opioid overdose.

METHODS

We followed 8370 Veterans who received medical care for a nonfatal opioid overdose between 2011 through 2015.Mortality records were linked to clinical records from the Veterans Health Administration (VHA). We compared the mortality rates among those with a nonfatal opioid overdose to a 5 % stratified random sample of patients accessing services during the same time period. SMRs were calculated using age-adjusted cause-specific mortality rates for the l U.S. population obtained from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER).

RESULTS

The crude mortality for Veterans with a history of a nonfatal overdose was 370.6 per 10,000 person years. Those with a prior nonfatal overdose had a higher risk of substance-related mortality (aHR [adjusted Hazard Ratio] 5.0), including a higher risk of death from drugs (aHR 6.9) and alcohol (aHR 2.7). Similarly, cause-specific mortalities assessed between Veterans and the U.S. population, SMRs were also highest for deaths associated with substances (114.0).

CONCLUSION

Veterans with a prior nonfatal overdose experienced substantially higher mortality rates compared to other Veterans or the general U.S.

POPULATION

Causes of death related to substance use and mental health were significantly higher than other causes of death, highlighting the importance of integrated treatment and substance use services.

Buprenorphine Treatment Intake and Critical Encounters following a Nonfatal Opioid Overdose

BACKGROUND

Individuals with prior opioid-related overdose events have an increased risk for opioid-related mortality. Buprenorphine is a partial agonist that has shown to be an effective medication for opioid use disorder (MOUD). Yet, few studies have investigated whether buprenorphine reduces the risk of opioid-related mortality following a nonfatal opioid-related overdose.

METHODS

A retrospective study was conducted on all overdose cases in Indiana between January 1, 2017 and December 31, 2017. Data were linked from multiple administrative sources. Cases were linked to vital records to assess mortality. Bivariate analyses were conducted to assess group differences between survivors and decedents. A series of multiple logistic regression models were used to determine main and interaction effects of opioid-related mortality.

RESULTS

Among the 10,195 nonfatal overdoses, 2.4% (247) resulted in a subsequent fatal overdose. Overdose decedents were on average 36.4 years-old, 66.8% male, 91.1% White, and 83.8% did not receive a buprenorphine dispensation. Incremental increases in the number of buprenorphine dispensations decreased the likelihood of fatal overdose by 94% (95% CI = 0.88-0.98, p = .001). Incremental increases in arrest encounters were found to significantly increase the likelihood of a fatal overdose (AOR = 2.16; 95% CI = 1.13-3.55). Arrest encounters were a significant moderator of the relationship between buprenorphine uptake effectiveness and drug-related mortality.

CONCLUSIONS

Analysis of linked data provided details of risk and protective factors of fatal overdose. Buprenorphine reduced the risk of death; however, criminal justice involvement remains an area of attention for diversion and overdose death prevention interventions.

Fourth Amendment Protections of Prescription Drug Monitoring Programs: Patient Privacy in the Opioid Crisis

The opioid crisis is one of the largest public health problems in the history of the United States. Prescription drug monitoring programs ("PDMPs")-state databases containing the records of all prescriptions for controlled substances written in the state-have emerged as a means to track opioid prescribing and use. While PDMPs are typically used as a tool for physicians to inform their prescribing practices, many states also permit law enforcement to access PDMPs when investigating controlled substance distribution, often without prior judicial approval. Such law enforcement use of PDMPs raises serious questions of patient privacy. The Fourth Amendment protects individuals from unreasonable searches and seizures where they have a reasonable expectation of privacy and has been interpreted to require law enforcement have probable cause and a search warrant before infringing upon an individual's reasonable expectation of privacy. Several courts have held that patients have no reasonable expectation of privacy, or a severely diminished expectation of privacy, in their prescription drug records held in PDMPs. As support, courts rely on the third-party doctrine because the information is disclosed to physicians and then held by the state; the highly regulated nature of the prescription drug industry; and the statutory framework of the Controlled Substances Act. Such analysis disregards patients' expectation of privacy in their personal health information, the confidentiality in the physician-patient relationship, and the resulting patient incentives not to seek care. Therefore, this Article argues that law enforcement must have probable cause and a search warrant to access PDMPs because the exceptions to the Fourth Amendment's probable cause and warrant requirements do not apply.

Alternatives to Opioid Education and a Prescription Drug Monitoring Program Cumulatively Decreased Outpatient Opioid Prescriptions

Introduction

Deaths have increased, and prescription medications are involved in a significant percentage of deaths. Emergency department (ED) changes to managing acute pain and prescription drug monitoring programs (PDMPs) can impact the potential for abuse.

Methods

We analyzed the impact of a series of quality improvement initiatives on the opioid prescribing habits of emergency department physicians and advanced practice providers. We compared historical prescribing patterns with those after three interventions: 1) the implementation of a PDMP, 2) clinician education on alternatives to opioids (ALTOs), and 3) electronic health record (EHR) process changes.

Results

There was a 61.8% decrease in the percentage of opioid-eligible ED discharges that received a prescription for an opioid from 19.4% during the baseline period to 7.4% during the final intervention period. Among these discharges, the cumulative effect of the interventions resulted in a 17.3% decrease in the amount of morphine milligram equivalents (MME) prescribed per discharge from a mean of 104.9 MME/discharge during the baseline period to 86.8 MME/discharge. In addition, the average amount of MME prescribed per discharge became aligned with recommended guidelines over the intervention periods.

Conclusions

Initiating a PDMP and instituting an aggressive ALTO program along with EHR-modified process flows have cumulative benefits in decreasing MME prescribed in an acute ED setting.

Opioid Prescription Filling Trends Among Children with Sickle Cell Disease After the Release of State-Issued Guidelines on Pain Management

OBJECTIVE

To assess the impact of Ohio's 2012, 2013, and 2016 opioid prescribing guidelines on opioid and nonsteroidal anti-inflammatory drug (NSAID) prescription filling and health care utilization for pain among children with sickle cell disease (SCD).

DESIGN

Quasi-experimental retrospective cohort study.

SETTING

Ohio Medicaid claims data from August 2011 to August 2016.

SUBJECTS

Medicaid beneficiaries under age 19 years with SCD.

METHODS

Interrupted time series analyses comparing population-level rates of opioids and NSAID prescriptions filled, standardized amounts of opioids dispensed, and acute health care utilization for pain before and after release of each guideline.

RESULTS

In our cohort of 1,505 children with SCD, there was a temporary but significant decrease in the opioid filling rate (-2.96 prescriptions per 100 children, P = 0.01) and in the amount of opioids dispensed (-31.39 milligram morphine equivalents per filled prescription, P < 0.001) after the 2013 guideline but a temporary but significant increase in the opioid filling rate (7.44 prescriptions per 100 children, P < 0.001) and in the amount of opioids dispensed (72.73 mg morphine equivalents per filled prescription, P < 0.001) after the 2016 guideline. The NSAID filling rate did not significantly change after any of the guidelines. Acute health care utilization rates for pain after the 2016 guideline were similar to those before the 2013 guideline (rate ratio = 1.04, P = 0.63).

CONCLUSIONS

Our results suggest that Ohio's 2013 and 2016 guidelines were associated with significant but nonsustained changes in opioid prescription filling among children with SCD. Additional studies are needed to confirm that opioid guidelines have a sustained impact on excessive opioid prescribing, filling, and misuse.

How well do doctors know their patients? Evidence from a mandatory access prescription drug monitoring program

Many opioid control policies target the prescribing behavior of health care providers. In this paper, we study the first comprehensive state-level policy requiring providers to access patients' opioid history before making prescribing decisions. We compare prescribers in Kentucky, which implemented this policy in 2012, to those in a control state, Indiana. Our main difference-in-differences analysis uses the universe of prescriptions filled in the two states to assess how the information provided affected prescribing behavior. We find that a significant share of low-volume providers stopped prescribing opioids altogether after the policy was implemented, though this change accounted for a small share of the reduction in total volume. The most important margin of response was to prescribe opioids to fewer patients. Although providers disproportionately discontinued treating patients whose opioid histories showed the use of multiple providers, there were also economically meaningful reductions for patients without multiple providers and single-use acute patients.

State Policies for Prescription Drug Monitoring Programs and Adverse Opioid-related Hospital Events

BACKGROUND

State policies to optimize prescriber use of Prescription Drug Monitoring Programs (PDMPs) have proliferated in recent years. Prominent policies include comprehensive mandates for prescriber use of PDMP, laws allowing delegation of PDMP access to office staff, and interstate PDMP data sharing. Evidence is limited regarding the effects of these policies on adverse opioid-related hospital events.

OBJECTIVE

The objective of this study was to assess the effects of 3 PDMP policies on adverse opioid-related hospital events among patients with prescription opioid use.

RESEARCH DESIGN

We examined 2011-2015 data from a large national commercial insurance database of privately insured and Medicare Advantage patients from 28 states with fully operating PDMPs by the end of 2010. We used a difference-in-differences framework to assess the probabilities of opioid-related hospital events and association with the implementation of PDMP policies. The analysis was conducted for adult patients with any prescription opioid use, a subsample of patients with long-term prescription opioid use, and stratified by older (65+) versus younger patients.

RESULTS

Comprehensive use mandates were associated with a relative reduction in the probability of opioid-related hospital events by 28% among patients with any opioid and 21% among patients with long-term opioid use. Such reduction was greater (in relative terms) among older patients despite the lower rate of these events among older than younger patients. Delegate laws and interstate data sharing were associated with limited change in the outcome.

CONCLUSION

Comprehensive PDMP use mandates were associated with meaningful reductions in opioid-related hospital events among privately insured and Medicare Advantage adults with prescription opioid use.

A History of Prescription Drug Monitoring Programs in the United States: Political Appeal and Public Health Efficacy

Prescription drug monitoring programs (PDMPs) have become a widely embraced policy to address the US opioid crisis. Despite mixed scientific evidence on their effectiveness at improving health and reducing overdose deaths, 49 states and Washington, DC have adopted PDMPs, and they have received strong bipartisan legislative support. This article explores the history of PDMPs, tracking their evolution from paper-based administrative databases in the early 1900s to modern-day electronic systems that intervene at the point of care. We focus on two questions: how did PDMPs become so widely adopted in the United States, and how did they gain popularity as an intervention in the contemporary opioid crisis? Through this historical approach, we evaluate what PDMPs reflect about national drug policy and broader cultural understandings of substance use disorder in the United States today. (Am J Public Health. 2020;110:1191-1197. 10.2105/AJPH.2020.305696).

Prescription drug monitoring programs in the US: A systematic literature review on its strength and weakness

Prescription Drug Monitoring Program (PDMP) is an electronic database that tracks the prescriptions of controlled drugs with its aims to combat the incidence of drug abuse. Although the establishment of PDMP in the US was since 2003, evidence of the impact of PDMP's strength and weakness towards its implementation is still scarce. A systematic literature review according to Preferred Reporting Items for Systematic Review (PRISMA) standard was conducted to investigate the influence of PDMP's strength in combating the incidence of drug abuse and also to review the weaknesses of PDMP that prohibit its implementation. Results from this study reveal that the implementation of PDMP has mitigated the issue of drug abuse and has increased work efficiency among healthcare practitioners. However, the implementation rate of this system is low due to its weaknesses such as limited internet access and limited access to the PDMP system. Therefore, efforts to overcome the weaknesses of PDMP need to be instituted to ensure the healthcare system could fully optimize PDMP's benefits.

Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review

Background

Advances in technology engender the investigation of technological solutions to opioid use disorder (OUD). However, in comparison to chronic disease management, the application of mobile health (mHealth) to OUD has been limited.

Objective

The overarching aim of our research was to design OUD management technologies that utilize wearable sensors to provide continuous monitoring capabilities. The objectives of this study were to (1) document the currently available opioid-related mHealth apps, (2) review past and existing technology solutions that address OUD, and (3) discuss opportunities for technological withdrawal management solutions.

Methods

We used a two-phase parallel search approach: (1) an app search to determine the availability of opioid-related mHealth apps and (2) a scoping review of relevant literature to identify relevant technologies and mHealth apps used to address OUD.

Results

The app search revealed a steady rise in app development, with most apps being clinician-facing. Most of the apps were designed to aid in opioid dose conversion. Despite the availability of these apps, the scoping review found no study that investigated the efficacy of mHealth apps to address OUD.

Conclusions

Our findings highlight a general gap in technological solutions of OUD management and the potential for mHealth apps and wearable sensors to address OUD.

Effect of State Policy Changes in Florida on Opioid-Related Overdoses

INTRODUCTION

With a rapid increase in prescription opioid overdose deaths and a proliferation of pain clinics in the mid-2000s, Florida emerged as an epicenter of the opioid overdose epidemic. In response, Florida implemented pain clinic laws and operationalized its Prescription Drug Monitoring Program. This study examines the effect of these policies on rates of inpatient stays and emergency department visits for opioid-related overdoses.

METHODS

Using data from the 2008-2015 State Emergency Department Databases and State Inpatient Databases, quarterly rates of inpatient stays and emergency department visits for prescription opioid-related overdoses and heroin-related overdoses were computed. A comparative interrupted time series analysis examined the effect of these policies on opioid overdose rates. North Carolina served as a control state because it did not implement similar policies during the study period. The data were analyzed in 2019.

RESULTS

Compared with North Carolina, Florida's polices were associated with reductions in the rates of prescription opioid-related overdose inpatient stays and emergency department visits, a level reduction of 2.31 per 100,000 and a reduction in the trend of 0.16 per 100,000 population each quarter. The policies were associated with a reduction of 13,532 inpatient stays and emergency department visits for prescription opioid-related overdoses during the study period. No statistically significant association was found between the policies and heroin-related overdose inpatient stays and emergency department visits.

CONCLUSIONS

To address the opioid overdose epidemic, states have implemented policies such as Prescription Drug Monitoring Programs and pain clinic laws designed to reduce inappropriate opioid prescribing. Such laws may be effective in reducing prescription opioid-related overdoses.

Prescription Drug Monitoring Programs and Prescription Opioid-Related Outcomes in the United States

Prescription drug monitoring programs (PDMPs) are a crucial component of federal and state governments' response to the opioid epidemic. Evidence about the effectiveness of PDMPs in reducing prescription opioid-related adverse outcomes is mixed. We conducted a systematic review to examine whether PDMP implementation within the United States is associated with changes in 4 prescription opioid-related outcome domains: opioid prescribing behaviors, opioid diversion and supply, opioid-related morbidity and substance-use disorders, and opioid-related deaths. We searched for eligible publications in Embase, Google Scholar, MEDLINE, and Web of Science. A total of 29 studies, published between 2009 and 2019, met the inclusion criteria. Of the 16 studies examining PDMPs and prescribing behaviors, 11 found that implementing PDMPs reduced prescribing behaviors. All 3 studies on opioid diversion and supply reported reductions in the examined outcomes. In the opioid-related morbidity and substance-use disorders domain, 7 of 8 studies found associations with prescription opioid-related outcomes. Four of 8 studies in the opioid-related deaths domain reported reduced mortality rates. Despite the mixed findings, emerging evidence supports that the implementation of state PDMPs reduces opioid prescriptions, opioid diversion and supply, and opioid-related morbidity and substance-use disorder outcomes. When PDMP characteristics were examined, mandatory access provisions were associated with reductions in prescribing behaviors, diversion outcomes, hospital admissions, substance-use disorders, and mortality rates. Inconsistencies in the evidence base across outcome domains are due to analytical approaches across studies and, to some extent, heterogeneities in PDMP policies implemented across states and over time.

Cost-Effectiveness of Intranasal Naloxone Distribution to High-Risk Prescription Opioid Users

OBJECTIVES

To determine the cost-effectiveness of pharmacy-based intranasal naloxone distribution to high-risk prescription opioid (RxO) users.

METHODS

We developed a Markov model with an attached tree for pharmacy-based naloxone distribution to high-risk RxO users using 2 approaches: one-time and biannual follow-up distribution. The Markov structure had 6 health states: high-risk RxO use, low-risk RxO use, no RxO use, illicit opioid use, no illicit opioid use, and death. The tree modeled the probability of an overdose happening, the overdose being witnessed, naloxone being available, and the overdose resulting in death. High-risk RxO users were defined as individuals with prescription opioid doses greater than or equal to 90 morphine milligram equivalents (MME) per day. We used a monthly cycle length, lifetime horizon, and US healthcare perspective. Costs (2018) and quality-adjusted life-years (QALYs) were discounted 3% annually. Microsimulation was performed with 100 000 individual trials. Deterministic and probabilistic sensitivity analyses were conducted.

RESULTS

One-time distribution of naloxone prevented 14 additional overdose deaths per 100 000 persons, with an incremental cost-effectiveness ratio (ICER) of $56 699 per QALY. Biannual follow-up distribution led to 107 additional lives being saved with an ICER of $84 799 per QALY compared with one-time distribution. Probabilistic sensitivity analyses showed that a biannual follow-up approach would be cost-effective 50% of the time at a willingness-to-pay (WTP) threshold of $100 000 per QALY. Naloxone effectiveness and proportion of overdoses witnessed were the 2 most influential parameters for biannual distribution.

CONCLUSION

Both one-time and biannual follow-up naloxone distribution in community pharmacies would modestly reduce opioid overdose deaths and be cost-effective at a WTP of $100 000 per QALY.

Building capacity for collaborative research on opioid and other substance use disorders through the Clinical and Translational Science Award Program

The opioid crisis in the USA requires immediate action through clinical and translational research. Already built network infrastructure through funding by the National Institute on Drug Abuse (NIDA) and National Center for Advancing Translational Sciences (NCATS) provides a major advantage to implement opioid-focused research which together could address this crisis. NIDA supports training grants and clinical trial networks; NCATS funds the Clinical and Translational Science Award (CTSA) Program with over 50 NCATS academic research hubs for regional clinical and translational research. Together, there is unique capacity for clinical research, bioinformatics, data science, community engagement, regulatory science, institutional partnerships, training and career development, and other key translational elements. The CTSA hubs provide unprecedented and timely response to local, regional, and national health crises to address research gaps [Clinical and Translational Science Awards Program, Center for Leading Innovation and Collaboration, Synergy paper request for applications]. This paper describes opportunities for collaborative opioid research at CTSA hubs and NIDA-NCATS opportunities that build capacity for best practices as this crisis evolves. Results of a Landscape Survey (among 63 hubs) are provided with descriptions of best practices and ideas for collaborations, with research conducted by hubs also involved in premier NIDA initiatives. Such collaborations could provide a rapid response to the opioid epidemic while advancing science in multiple disciplinary areas.

Escalating Opioid Dose Is Associated With Mortality: A Comparison of Patients With and Without Opioid Use Disorder

OBJECTIVE

Prescription Drug Monitoring Programs (PDMPs) are intended to help reduce prescription drug misuse and opioid overdose, yet little is known about the longitudinal patterns of opioid prescribing that may be associated with mortality. This study investigated longitudinal opioid prescribing patterns among patients with opioid use disorder (OUD) and without OUD in relation to mortality using PDMP data.

METHODS

Growth modeling was used to examine opioid prescription data from the California PDMP for a 4-year period before death or a comparable period ending in 2014 for those remaining from a sample of 7728 patients (2576 with OUD, and 5152 matched non-OUD controls) treated in a large healthcare system.

RESULTS

Compared to controls, individuals with OUD (alive and deceased) had received significantly more opioid prescriptions, greater number of days' supply, and steeper increases of opioid dosages over time. For morphine equivalents (ME, in grams), the interaction of OUD and mortality was significant at both intercept (β = 10.4, SE = 4.4, P < 0.05) and slope (β = 6.0, SE = 1.1, P < 0.001); deceased OUD patients demonstrated the sharpest increase (ie, an average yearly increment of 7.84 grams over alive patients without OUD) and ended with the highest level of opioids prescribed before they died (ie, 20.2 grams higher). Older age, public health insurance, cancer, and chronic pain were associated with higher number and dose of opioid prescriptions.

CONCLUSIONS

Besides the amount of prescriptions, clinicians must be alert to patterns of opioid prescription such as escalating dosage as critical warning signals for heightened mortality risks, particularly among patients with OUD.

How Are Real-time Opioid Prescribing Cognitions by Emergency Providers Influenced by Reviewing the State Prescription Drug Monitoring Program?

OBJECTIVE

To understand how real-time opioid prescribing cognitions by emergency medicine (EM) providers are influenced by review of the state prescription drug monitoring program (PDMP).

METHODS

We collected prospective data from a convenience sample of 103 patient encounters for pain from 23 unique EM providers. After seeing the patient, before and immediately after reviewing the PDMP, EM providers answered how much they thought "the patient need[ed] an opioid to help manage their pain?", how concerned they were "about drug abuse and/or diversion?", and whether they planned to prescribe an opioid (yes/no). If they changed their decision to prescribe after querying the PDMP, they were asked to provide comments. We categorized encounters by opioid prescribing plan before/after PDMP review (e.g., O+/O- means plan changed from "yes" to "no") and examined changes in cognitions across categories.

RESULTS

Ninety-two of 103 (89.3%) encounters resulted in no change in opioid prescribing plan (61/92 [66.3%] O+/O+; 31/92 [33.7%] O-/O-). For the four O+/O- encounters, perceived patient opioid need decreased 75% of the time and concern for opioid abuse and/or diversion increased 75% of time. For the seven O-/O+ encounters, providers reported increased perceived patient opioid need 28.6% of the time and decreased concern for opioid abuse and/or diversion 14.3% of time.

CONCLUSIONS

PDMP data rarely alter plans to prescribe an opioid among emergency providers. When changes in opioid prescribing plan were made, this was reflected by changes in cognitions. Findings support the need for a properly powered study to identify how specific PDMP findings alter prescribing cognitions.

The Association of State Opioid Misuse Prevention Policies With Patient- and Provider-Related Outcomes: A Scoping Review

Policy Points This scoping review reveals a growing literature on the effects of certain state opioid misuse prevention policies, but persistent gaps in evidence on other prevalent state policies remain. Policymakers interested in reducing the volume and dosage of opioids prescribed and dispensed can consider adopting robust prescription drug monitoring programs with mandatory access provisions and drug supply management policies, such as prior authorization policies for high-risk prescription opioids. Further research should concentrate on potential unintended consequences of opioid misuse prevention policies, differential policy effects across populations, interventions that have not received sufficient evaluation (eg, Good Samaritan laws, naloxone access laws), and patient-related outcomes.

CONTEXT

In the midst of an opioid crisis in the United States, an influx of state opioid misuse prevention policies has provided new opportunities to generate evidence of policy effectiveness that can inform policy decisions. We conducted a scoping review to synthesize the available evidence on the effectiveness of US state interventions to improve patient and provider outcomes related to opioid misuse and addiction.

METHODS

We searched six online databases to identify evaluations of state opioid policies. Eligible studies examined legislative and administrative policy interventions that evaluated (a) prescribing and dispensing, (b) patient behavior, or (c) patient health.

FINDINGS

Seventy-one articles met our inclusion criteria, including 41 studies published between 2016 and 2018. These articles evaluated nine types of state policies targeting opioid misuse. While prescription drug monitoring programs (PDMPs) have received considerable attention in the literature, far fewer studies addressed other types of state policy. Overall, evidence quality is very low for the majority of policies due to a small number of evaluations. Of interventions that have been the subject of considerable research, promising means of reducing the volume and dosages of opioids prescribed and dispensed include drug supply management policies and robust PDMPs. Due to low study number and quality, evidence is insufficient to draw conclusions regarding interventions targeting patient behavior and health outcomes, including naloxone access laws and Good Samaritan laws.

CONCLUSIONS

Recent research has improved the evidence base on several state interventions targeting opioid misuse. Specifically, moderate evidence suggests that drug supply management policies and robust PDMPs reduce opioid prescribing. Despite the increase in rigorous evaluations, evidence remains limited for the majority of policies, particularly those targeting patient health-related outcomes.

An Unintended Consequence of a New Opioid Legislation

BACKGROUND

The Controlled Substance Act was enacted in efforts to reduce the abuse and misuse of opioid pain relievers. However, the effects of this regulation on the prescribing patterns of providers has yet to be realized.

OBJECTIVE

We sought to identify the changes in opioid-prescribing patterns of an elective colorectal surgical practice as a result of this legislative change.

DESIGN

This is a retrospective study of patients undergoing elective colorectal surgery. Patients were intentionally grouped into group A (January 1, 2012 to October 5, 2014) and group B (October 6, 2014 to December 31, 2016) to capture the period surrounding the new legislation.

SETTINGS

We evaluated patients undergoing elective colorectal surgery at a single academic center over a 5-year period.

PATIENTS

There were 443 patients undergoing elective colorectal surgery between 2012 and 2016.

MAIN OUTCOME MEASURES

The primary outcome was total milligram morphine equivalent of pain medication prescribed at discharge. Secondary outcomes included total number of pills prescribed, total milligram morphine equivalent of pain medication at subsequent prescriptions, and numeric postoperative pain scores.

RESULTS

Patients in group B were found to have a greater mean total milligram morphine equivalent prescribed at discharge (719 (SD 593) vs 660 (SD 548), p = 0.03), mean total quantity of pills prescribed at discharge (98 (SD 106) vs 87 (SD 63), p = 0.05), and mean total quantity of pills prescribed as subsequent prescriptions (77 (SD 117) vs 68 (SD 83), p = 0.05) compared with group A. On multivariable analysis, group B was a significant predictor of greater total milligram morphine equivalents prescribed at discharge compared with group A (p = 0.01).

LIMITATIONS

This study is limited by analysis from a single institution.

CONCLUSIONS

Efforts to minimize opioid prescriptions after surgery through legislation could result in unintended consequences. Recognition of this result is important to effectively reduce opioid prescriptions after surgery. See Video Abstract at http://links.lww.com/DCR/B96. UNA CONSECUENCIA NO DESEADA DE UNA NUEVA LEGISLACIÓN DE OPIOIDES: La Ley de Sustancias Controladas se promulgó con el fin de reducir el abuso y el uso indebido de analgésicos opioides. Sin embargo, los efectos de esta regulación en los patrones de prescripción de los proveedores aún no se han realizado.Se intento identificar los cambios en los patrones de prescripción de opioides de una práctica quirúrgica colorrectal electiva como resultado de este cambio legislativo.Este es un estudio retrospectivo de pacientes sometidos a cirugía colorrectal electiva. Los pacientes fueron agrupados intencionalmente en el Grupo A (1 de enero de 2012 al 5 de octubre de 2014) y el Grupo B (6 de octubre de 2014 al 31 de diciembre de 2016) para capturar el período que rodea la nueva legislación.Se evaluaron a los pacientes sometidos a cirugía colorrectal electiva en un solo centro académico durante un período de 5 años.Hubo 443 pacientes que se sometieron a cirugía colorrectal electiva entre 2012-2016.La medida de resultado primaria fue el equivalente de miligramos de morfina total de los analgésicos prescritos al momento del alta. Las medidas de resultado secundarias incluyeron el número total de píldoras prescritas, el equivalente total de miligramos de morfina de la medicación para el dolor en las prescripciones posteriores y las puntuaciones numéricas de dolor postoperatorio.Se encontró que los pacientes en el Grupo B tenían un equivalente de miligramos de morfina total total mayor prescrito al alta (719 [DE 593] v. 660 [DE 548], p = 0.03), cantidad total promedio de píldoras prescritas al alta (98 [SD 106] v. 87 [SD 63], p = 0.05), y la cantidad total promedio de píldoras recetadas como recetas posteriores (77 [SD 117] v. 68 [SD 83], p = 0.05) en comparación con el Grupo A. En análisis multivariable, el Grupo B fue un predictor significativo de mayores equivalentes de morfina en miligramos totales prescritos al alta en comparación con el grupo A (p = 0.01).Este estudio está limitado por el análisis de una sola instituciónLos esfuerzos para minimizar las recetas de opioides después de la cirugía a través de la legislación podrían tener consecuencias no deseadas. El reconocimiento de este resultado es importante para reducir eficazmente las recetas de opioides después de la cirugía. Consulte Video Resumen en http://links.lww.com/DCR/B96.

Respiratory events associated with concomitant opioid and sedative use among Medicare beneficiaries with chronic obstructive pulmonary disease

BACKGROUND

Opioids and sedatives are commonly prescribed in chronic obstructive pulmonary disease (COPD) patients for symptoms of dyspnoea, pain, insomnia, depression and anxiety. Older adults are advised to avoid these medications due to increased adverse events, including respiratory events. This study examines respiratory event risks associated with concomitant opioid and sedative use compared with opioid use alone in older adults with COPD.

METHODS

A 5% nationally representative sample of Medicare beneficiaries with COPD and opioid use between 2009 and 2013 was used for this retrospective cohort study. Current and past concomitant use were identified using drug dispensed within 7 days from the censored date: at respiratory event, at death, or at 12 months post index. Concomitant opioid and sedative use were categorised into no overlap (opioid only), 1 to 10, 11 to 30, 31 to 60 and >60 days of total overlap. The primary outcome was hospitalisation or emergency department (ED) visits for respiratory events (COPD exacerbations or respiratory depression). Propensity score matching was implemented and semi-competing risk models were used to address competing risk by death.

RESULTS

Among 48 120 eligible beneficiaries, 1810 (16.7%) concomitant users were matched with 9050 (83.3%) opioid only users. Current concomitant use of 1 to 10, 11 to 30 and 31 to 60 days was associated with increased respiratory events (HRs (95% CI): 2.8 (1.2 to 7.3), 9.3 (4.9 to 18.2) and 5.7 (2.5 to 12.5), respectively), compared with opioid only use. Current concomitant use of >60 days or past concomitant use of ≤60 days was not significantly associated with respiratory events. Consistent findings were found in sensitivity analyses, including in subgroup analysis of non-benzodiazepine sedatives. Additionally, current concomitant use significantly increased risk of death.

CONCLUSION

Short-term and medium-term current concomitant opioid and sedative use significantly increased risk of respiratory events and death in older COPD Medicare beneficiaries. Long-term past concomitant users, however, demonstrated lower risks of these outcomes, possibly reflecting a healthy user effect or developed tolerance to the effects of these agents.

Impact of Iowa's Prescription Monitoring Program on Opioid Pain Reliever Prescribing Patterns: An Interrupted Time Series Study 2003-2014

OBJECTIVE

To evaluate the impact of Iowa's prescription monitoring program (PMP), implemented in 2009, on opioid pain reliever (OPR) prescribing patterns.

METHODS

We conducted interrupted time series analyses using 2003-2014 health insurance claims from a private health insurer in Iowa. OPR prescriptions for all beneficiaries were included. Another data set included only OPR prescription for new opioid users required to have six months of insurance coverage. We evaluate four OPR prescribing patterns: 1) average daily dosage in morphine milligrams equivalents (MME), 2) MME per prescription, 3) average days' supply per prescription, and 4) prescription rate per 1,000 insured person-years. We examined confounding and effect measure modification of the relationship between PMP and prescribing patterns by age and sex.

RESULTS

During the 12 years of follow-up, 1,512,388 insured Iowans contributed 6,169,634.92 person-years of follow-up. Of these, 505,274 patients filled 2,401,818 OPR prescriptions and 360,688 new OPR users filled as many first OPR prescriptions. The increasing trend of OPR prescription rates from 2003 to 2009 declined post-PMP. Similarly, there was a large decline in MME per day and MME per prescription. The OPR days' supply kept increasing post-PMP implementation, albeit at a slightly slower rate than pre-PMP implementation. There was no confounding by age and sex; however, we observed heterogeneity by age and sex; patients aged ≥50 years and females received higher doses and more prescriptions pre-PMP and experienced the greatest declines post-PMP.

CONCLUSIONS

Our study suggests that Iowa PMP implementation may have resulted in declines in OPR prescribing, and this impact varies by patient age and sex.