Prescription Drug Monitoring Programs Produce a Limited Impact on Painkiller Prescribing in Medicare Part D

The role of prescription opioid and cannabis supply policies on opioid overdose deaths

Mandatory prescription drug monitoring programs and cannabis legalization have been hypothesized to reduce overdose deaths. We examined associations between prescription monitoring programs with access mandates (must-query PDMPs), legalization of medical and recreational cannabis supply, and opioid overdose deaths in United States counties in 2013-2020. Using data on overdose deaths from the National Vital Statistics System, we fit Bayesian spatiotemporal models to estimate risk differences and 95% credible intervals (CrIs) in county-level opioid overdose deaths associated with enactment of these state policies. Must-query PDMPs were independently associated with on average 0.8 (95% CrI, 0.5-1.0) additional opioid-involved overdose deaths per 100 000 person-years. Legal cannabis supply was not independently associated with opioid overdose deaths in this time period. Must-query PDMPs enacted in the presence of legal (medical or recreational) cannabis supply were associated with 0.7 (95% CrI, 0.4-0.9) more opioid-involved deaths relative to must-query PDMPs without any legal cannabis supply. In a time when overdoses are driven mostly by nonprescribed opioids, stricter opioid prescribing policies and more expansive cannabis legalization were not associated with reduced overdose death rates. This article is part of a Special Collection on Mental Health.

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.

Provider beliefs about the ideal design of an opioid deprescribing and substitution intervention for older adults

PURPOSE

Opportunities exist to meaningfully reduce suboptimal prescription opioid use among older adults. Deprescribing is one possible approach to reducing suboptimal use. Appropriate interventions should outline how to carefully taper opioids, closely monitor adverse events, substitute viable alternative and affordable nonopioid pain treatments, and initiate medications for opioid use disorder to properly manage use disorders, as needed. We sought to document and understand provider perceptions to begin developing effective and safe opioid deprescribing interventions.

METHODS

We conducted 3 semistructured focus groups that covered topics such as participant perspectives on opioid deprescribing in older adults, how to design an ideal intervention, and how to identify potential barriers or facilitators in implementing an intervention. Focus group transcripts were double coded and qualitatively analyzed to identify overarching themes.

RESULTS

Healthcare providers (n = 17), including physicians, pharmacists, nurses, social workers, and administrative staff, participated in 3 focus groups. We identified 4 key themes: (1) involve pharmacists in deprescribing and empower them as leaders of an opioid deprescribing service; (2) ensure tight integration and close collaboration throughout the deprescribing process from the inpatient to outpatient settings; (3) more expansive inclusion criteria than age alone; and (4) provision of access to alternative pharmacological and nonpharmacological pain management modalities to patients.

CONCLUSION

Our findings, which highlight various healthcare provider beliefs about opioid deprescribing interventions, are expected to serve as a framework for other organizations to develop and implement interventions. Future studies should incorporate patients' and family caregivers' perspectives.

Association of State-Imposed Restrictions on Gabapentin with Changes in Prescribing in Medicare

BACKGROUND

Between August 2016 and July 2018, three states classified gabapentin as a Schedule V drug and nine states implemented prescription drug monitoring program (PDMP) regulation for gabapentin. It is highly unusual for states to take drug regulation into their own hands. The impact of these changes on gabapentin prescribing is unclear.

OBJECTIVE

To determine the effect of state-imposed regulation on gabapentin prescribing for Medicare Part D enrollees from 2013 to 2018.

DESIGN

Population-based difference-in-difference(DID) analysis study utilizing the Medicare Part D Prescriber Public Use File.

PARTICIPANTS

All eligible Medicare Part D prescribers excluding those outside of the fifty states and the District of Columbia were included in our analysis. Prescriber data and key sociodemographic variables were organized by state and year. States with a gabapentin schedule change or PDMP regulation enacted before 2019 were included in the intervention group. For the Schedule V DID analysis, a control group of the ten highest opioid-prescribing states was used.

INTERVENTIONS

States with gabapentin schedule changes or PDMP regulation before January 1, 2019, were included and compared to control states that did not implement these policies.

MAIN MEASURES

Total days' supply of gabapentin per enrollee per year was the primary outcome variable.

KEY RESULTS

The mean total days' supply of gabapentin per enrollee increased 41% from 19.71 to 27.81 total days' supply per enrollee per year between 2013 and 2018. After adjustment, Schedule V gabapentin regulation resulted in a reduction of 8.37 total days of gabapentin prescribed per enrollee (95% confidence interval of - 10.34 to - 6.39). In contrast, PDMP regulation resulted in a reduction of 1.01 total days of gabapentin prescribed per enrollee (95% confidence interval of - 1.74 to - 0.29).

CONCLUSIONS

Classifying gabapentin as a Schedule V drug results in substantial reduction in total days prescribed whereas PDMP regulation results in modest reduction.

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.

Mapping the research addressing prescription drug monitoring programs: A scoping review

ISSUES

Prescription drug monitoring programs are a harm minimisation intervention and clinical decision support tool that address the public health concern surrounding prescription drug misuse. Given the large number of studies published to date and the ongoing implementation of these programs, it is important to map the literature and identify areas for further research to improve practice.

APPROACH

A scoping review was undertaken to identify the research on prescription drug monitoring programs published between January 2015 and April 2021.

KEY FINDINGS

A total of 153 citations were included in this scoping review. The majority of the studies originated from the USA and were quantitative. Results on program effectiveness are mixed and mainly examine their association with opioid-related outcomes. Unintended consequences are revealed in the literature and this review also highlights barriers to program use.

IMPLICATIONS

Overall, findings are mixed despite the large number of studies published to date. Mapping the literature identifies priority areas for further research that can advise policymakers and clinicians on practice improvement.

CONCLUSION

Results on prescription drug monitoring program effectiveness are mixed and mainly examine their association with opioid-related outcomes. This review highlights barriers to prescription drug monitoring program effectiveness related to program use and system integration. Further research is needed in these areas to improve prescription drug monitoring program use and patient outcomes.

Flipping the script: The effects of opioid prescription monitoring on specialty-specific provider behavior

Mandatory access Prescription Drug Monitoring Programs (MA-PDMPs) aim to curb the epidemic at a common point of initiation of use, the prescription. However, there is recent concern about whether opioid policies have been too restrictive and reduced appropriate access to patients with the most need for opioid pharmaceuticals. We assess MA-PDMP's effect on specialty-specific opioid prescribing behavior of Medicare providers. Our findings suggest that requiring providers to query a PDMP differentially affects opioid prescribing across provider specialties. We find a three to four percent decrease in prescribing for Primary Care and Internal Medicine providers. This result is driven by healthcare providers at the lower end of the prescribing distribution. There is also suggestive evidence of an increase in opioid use disorder treatment drugs prescribed by these same providers. We also find no evidence for the hypothesis that MA-PDMPs restrict prescribing by providers who treat patients with potentially high levels of pain, few drug substitutes, or urgency for pain treatment (e.g., Oncology/Palliative care). This result is not dependent on whether a state provides exemptions for these providers. Our results indicate that MA-PDMPs may help close provider-patient informational gaps while retaining a provider's ability to supply these drugs to patients with a need for opioids.

Association of prescription drug monitoring program laws with bedridden and missed work days

OBJECTIVE

To examine the relationship between optional and must-use prescription drug monitoring programs (PDMPs) and markers of disability.

DATA SOURCES

Nationwide data from the National Health Interview Survey for 2006-2015.

STUDY DESIGN

Generalized difference-in-difference models with state-specific time trends were used to assess the relationship between PDMPs and two outcomes: missed days of work and bedridden days.

DATA COLLECTION/EXTRACTION METHODS

All respondents above the age of 18 years with complete data on key measures were included. A subpopulation of respondents who had a recent surgery or injury was identified.

PRINCIPAL FINDINGS

We found an increase of 3.3 and 5.9 bedridden days associated with optional and must-use PDMPs, respectively, for respondents reporting a recent injury or surgery (p-values <0.05; unadjusted population average 12.2 bedridden days). Increases in days of missed work were not statistically significant.

CONCLUSIONS

Implementation of PDMPs was associated with negative unintended consequences in the injury/surgery subpopulation. The association between bedridden days and PDMPs suggests a gap between clinical trials showing equivalence of opioids and nonopioids for pain treatment and real-world results. As increasingly tighter opioid restrictions proliferate, evidence-based strategies to address pain without opioids in the acute pain population likely need to be more widely disseminated.

Davis C, Rudolph KE, Keyes KM, Hasin DS, Cerdá M. Prescription Opioid Laws and Opioid Dispensing in US Counties: Identifying Salient Law Provisions With Machine Learning

BACKGROUND

Hundreds of laws aimed at reducing inappropriate prescription opioid dispensing have been implemented in the United States, yet heterogeneity in provisions and their simultaneous implementation have complicated evaluation of impacts. We apply a hypothesis-generating, multistage, machine-learning approach to identify salient law provisions and combinations associated with dispensing rates to test in future research.

METHODS

Using 162 prescription opioid law provisions capturing prescription drug monitoring program (PDMP) access, reporting and administration features, pain management clinic provisions, and prescription opioid limits, we used regularization approaches and random forest models to identify laws most predictive of county-level and high-dose dispensing. We stratified analyses by overdose epidemic phases-the prescription opioid phase (2006-2009), heroin phase (2010-2012), and fentanyl phase (2013-2016)-to further explore pattern shifts over time.

RESULTS

PDMP patient data access provisions most consistently predicted high-dispensing and high-dose dispensing counties. Pain management clinic-related provisions did not generally predict dispensing measures in the prescription opioid phase but became more discriminant of high dispensing and high-dose dispensing counties over time, especially in the fentanyl period. Predictive performance across models was poor, suggesting prescription opioid laws alone do not strongly predict dispensing.

CONCLUSIONS

Our systematic analysis of 162 law provisions identified patient data access and several pain management clinic provisions as predictive of county prescription opioid dispensing patterns. Future research employing other types of study designs is needed to test these provisions' causal relationships with inappropriate dispensing and to examine potential interactions between PDMP access and pain management clinic provisions. See video abstract at, http://links.lww.com/EDE/B861.

Health Care Provider Utilization of Prescription Monitoring Programs: A Systematic Review and Meta-Analysis

OBJECTIVE

To synthesize the literature on the proportion of health care providers who access and use prescription monitoring program data in their practice, as well as associated barriers to the use of such data.

DESIGN

We performed a systematic review using a standard systematic review method with meta-analysis and qualitative meta-summary. We included full-published peer-reviewed reports of study data, as well as theses and dissertations.

METHODS

We identified relevant quantitative and qualitative studies. We synthesized outcomes related to prescription monitoring program data use (i.e., ever used, frequency of use). We pooled the proportion of health care providers who had ever used prescription monitoring program data by using random effects models, and we used meta-summary methodology to identify prescription monitoring program use barriers.

RESULTS

Fifty-three studies were included in our review, all from the United States. Of these, 46 reported on prescription monitoring program use and 32 reported on barriers. The pooled proportion of health care providers who had ever used prescription monitoring program data was 0.57 (95% confidence interval: 0.48-0.66). Common barriers to prescription monitoring program data use included time constraints and administrative burdens, low perceived value of prescription monitoring program data, and problems with prescription monitoring program system usability.

CONCLUSIONS

Our study found that health care providers underutilize prescription monitoring program data and that many barriers exist to prescription monitoring program data use.

The use of an integrated opioid and medical marijuana prescription drug monitoring program

OBJECTIVES

To (1) identify the reasons for which pharmacists in Connecticut use the CPMRS when dispensing opioid medications and medical marijuana products, (2) determine pharmacists' perceived value of the CPMRS when dispensing opioids or medical marijuana, and (3) compare practices and the perceived value of the CPMRS among community-based pharmacists (CBPs) and medical marijuana dispensary pharmacists (MMDPs).

METHODS

An online survey was administered from May 2019 to June 2019 to CBPs (n = 178) and MMDPs (n = 12). The survey included items about background, use, and attitudes about current and future use of the CPMRS.

RESULTS

Both pharmacist groups indicated that opioid use information was the most useful aspect of the CPMRS. Ninety percent of both groups checked patients' use of opioids using the CPMRS, and 81.2% of the MMDPs compared with 38.4% of the CBPs indicated that they checked for patients' use of medical marijuana. A greater percentage of MMDPs than CBPs felt that access to the marijuana use information was useful and needed for counseling. Several pharmacists recommended improvements in marijuana use information in the CPMRS and greater efficiencies for users of the system.

CONCLUSION

Access to both marijuana and opioid use information can allow pharmacists to make specific recommendations on the basis of potential drug interactions and dose adjustments. The results from the present study highlight how integrated systems of opioid and marijuana dispensing information can be further enhanced by resolving existing pharmacy barriers involving technology, workflow, and need for systems with more detailed marijuana product information.

Impact of a Mandatory Prescription Drug Monitoring Program Check on Emergency Department Opioid Prescribing Rates

BACKGROUND

Prescription drug monitoring programs (PDMPs) exist in 49 states to guide opioid prescribing. In 40 states, clinicians must check the PDMP prior to prescribing an opioid. Data on mandated PDMP checks show mixed results on opioid prescribing.

OBJECTIVES

This study sought to examine the impact of the Massachusetts mandatory PDMP check on opioid prescribing for discharges from an urban tertiary emergency department (ED).

METHODS

This was a retrospective cohort study of discharges from one ED from 7/1/2010-10/15/2018. The primary outcome was the monthly percentage of patients discharged from the ED with an opioid prescription. The intervention was Massachusetts mandating a PDMP check for all opioid prescriptions. Prescribing was compared pre- and post-mandate. Interrupted time series (ITS) analysis accounted for known declining trends in opioid prescribing.

RESULTS

Of 273,512 ED discharges, 35,050 (12.8%) received opioid prescriptions. Mean monthly opioid prescribing decreased post-intervention from 15.1% (SD ± 3.5%) to 5.1% (SD ± 0.9%; p < 0.001). ITS showed equal pre and post-intervention slopes (-0.002, p = 0.819). A small immediate decrease occurred in prescribing around the mandated check: a 3-month level effect decrease of 0.018 (p = 0.039), 6-month level effect 0.019 (p = 0.023), and a 12-month level effect of 0.020 (p = 0.019). The 24-month level effect was not decreased.

CONCLUSION

Prior to the mandated PDMP check, ED opioid prescribing was declining. The mandate did not change the rate of decline but was associated with a non-sustained drop in opioid prescribing immediately following enactment.

Impact of Electronic Prescribing of Controlled Substances on Opioid Prescribing: Evidence From I-STOP Program in New York

New York's Internet System for Tracking Over-Prescribing (I-STOP) Act, requires prescribers in the state to electronically prescribe controlled substances (EPCS). We examine the effects of this mandate on prescribing patterns of opioids for Medicare Part D beneficiaries. Using 2014-2017 CMS Medicare Part D Prescriber Data, we apply a lagged dependent variable regression approach to identify the impact of I-STOP on the prescription of opioids. In the first year of implementation, the number of opioid prescriptions per prescriber decreased by 5.7 per year. The policy had a larger effect on the prescription of short-acting opioids and on prescribers prescribing medication for predominantly younger beneficiaries. Overall, I-STOP resulted in a reduction in the number of beneficiaries being prescribed opioids and in the number of opioid claims in the state of New York, suggesting positive implications for other states intending to curtail opioid overprescribing and misuse through the use of EPCS.

Barriers and facilitators to PDMP IS Success in the US: A systematic review

INTRODUCTION

Prescription Drug Monitoring Programs (PDMP) help prevent prescription drug misuse and promote appropriate pain management. Despite these benefits and PDMP mandates in most states, PDMPs face challenges that hinder their success. This paper uses the Delone and McLean Information Success (IS) Model to review the current literature for barriers and facilitators to PDMP quality, use, intention to use and user satisfaction in the United States (U.S.).

MATERIAL AND METHODS

Scopus, PubMed and Embase databases were searched due to their relevance to information technology, education and research.

RESULTS

There were 142 and 183 barriers and facilitators, respectively, found in 44 peer reviewed articles. Barriers to PDMP quality, use and user satisfaction include lack of interstate data sharing, access difficulties, lack of time, inability to delegate access, lack of knowledge or awareness of the PMDP, and lack of EHR integration. Facilitators to PDMP quality, use and user satisfaction include interstate data connections, real-time data updates, EHR integration, and access delegation.

DISCUSSION

Interstate data sharing, EHR integration and expanding access to delegates were common themes found. Some results were found to be contradictory such as mandating use.

CONCLUSION

PDMP users can use these findings to assess current barriers to PDMP success in the U.S. and draw possible solutions from the list of facilitators. Practitioners should consider the context of their state and organization when determining which facilitators would most promote PDMP IS success. Combining facilitators may be the best route to PDMP IS success in certain situations.

Medicaid Expansion and Availability of Opioid Medications in the Specialty Substance Use Disorder Treatment System

OBJECTIVE

Research has examined the effect of Medicaid expansion on access to physicians with buprenorphine waivers, but less attention has been paid to Medicaid's impact on opioid use disorder medication availability within the specialty substance use disorder treatment system. To address this gap in the literature, this study examined the impact of Medicaid expansion on availability of opioid medications in specialty programs.

METHODS

This study used data from the National Survey of the Substance Abuse Treatment Services (2002-2017), containing all known substance use disorder treatment programs in the United States, to examine the effect of Medicaid expansion on the availability of opioid use disorder medications by treatment program ownership type (publicly owned, private for profit, and private nonprofit) among opioid treatment programs (OTPs) and non-OTPs.

RESULTS

The effects of Medicaid expansion were limited to nonprofit and for-profit OTPs. Medicaid expansion was associated with 135.1% and 57.5% increases in the number of nonprofit and for-profit OTPs offering injectable naltrexone, respectively, and with a 64.4% increase in the number of nonprofit OTPs offering buprenorphine. Nonprofit and for-profit OTPs compose <10% of the treatment system, indicating that improvements in opioid use disorder treatment associated with Medicaid expansion were limited to a small share of the specialty system.

CONCLUSIONS

The limited impact of Medicaid expansion on the specialty treatment system may perpetuate disparities in the accessibility and quality of opioid use disorder treatment for Medicaid enrollees and fail to alleviate high rates of opioid use disorder and opioid overdose deaths in this vulnerable population.

Modeling dynamics of fatal opioid overdose by state and across time

Opioid overdose fatalities include deaths from natural opioids (morphine and codeine), semi-synthetic opioids (oxycodone, hydrocodone), synthetic opioids (prescription and illicit fentanyl, tramadol), methadone, and heroin. From 1999 to 2017, there were 702,568 drug overdose deaths in the U.S., with 399,230 attributed to opioids. This study aimed to assess the dynamics of opioid related fatalities throughout the U.S. from 2006-2016. This study is a secondary analysis of data obtained through the Kaiser Family Foundation's analysis of Centers for Disease Control and Prevention data, 1999-2016. The data obtained were from all 50 states and the District of Columbia. A total of 272,130 individuals were included in the analysis. This represents the number of opioid overdose deaths in the United States from 2006-2016. Descriptive analysis of overall rates was conducted and mapped for visualization. Novel predictive models of increase for each drug overdose category were developed and used to calculate rate changes. Finally, the elasticity of change in rate for each drug category was calculated annually for the past 11 years. The highest rate of opioid overdose-related death occurred in West Virginia (40.03 per 100,000). In our secondary analysis, we explored the change in the rate of opioid-related deaths from 2015 to 2016. The changing dynamics of fatal opioid overdose at the state level is critical to guiding policy makers in addressing this crisis. Rates of fatal opioid overdose vary across the states, but we identify some trends. Regional differences are identified in states with the highest overdose rates from all opioids combined.

A Rapid Review of the Impact of Systems-Level Policies and Interventions on Population-Level Outcomes Related to the Opioid Epidemic, United States and Canada, 2014-2018

OBJECTIVES

In the United States, rising rates of overdose deaths and recent outbreaks of hepatitis C virus and HIV infection are associated with injection drug use. We updated a 2014 review of systems-level opioid policy interventions by focusing on evidence published during 2014-2018 and new and expanded opioid policies.

METHODS

We searched the MEDLINE database, consistent with the 2014 review. We included articles that provided original empirical evidence on the effects of systems-level interventions on opioid use, overdose, or death; were from the United States or Canada; had a clear comparison group; and were published from January 1, 2014, through July 19, 2018. Two raters screened articles and extracted full-text data for qualitative synthesis of consistent or contradictory findings across studies. Given the rapidly evolving field, the review was supplemented with a search of additional articles through November 17, 2019, to assess consistency of more recent findings.

RESULTS

The keyword search yielded 535 studies, 66 of which met inclusion criteria. The most studied interventions were prescription drug monitoring programs (PDMPs) (59.1%), and the least studied interventions were clinical guideline changes (7.6%). The most common outcome was opioid use (77.3%). Few articles evaluated combination interventions (18.2%). Study findings included the following: PDMP effectiveness depends on policy design, with robust PDMPs needed for impact; health insurer and pharmacy benefit management strategies, pill-mill laws, pain clinic regulations, and patient/health care provider educational interventions reduced inappropriate prescribing; and marijuana laws led to a decrease in adverse opioid-related outcomes. Naloxone distribution programs were understudied, and evidence of their effectiveness was mixed. In the evidence published after our search's 4-year window, findings on opioid guidelines and education were consistent and findings for other policies differed.

CONCLUSIONS

Although robust PDMPs and marijuana laws are promising, they do not target all outcomes, and multipronged interventions are needed. Future research should address marijuana laws, harm-reduction interventions, health insurer policies, patient/health care provider education, and the effects of simultaneous interventions on opioid-related outcomes.

Transitioning from pharmaceutical opioids: A discrete-time survival analysis of heroin initiation in suburban/exurban communities

INTRODUCTION

Research identifying pathways to heroin use has typically been conducted among urban populations. This study examined heroin initiation following pharmaceutical opioid use in three suburban/exurban Southern California counties.

METHODS

Interviewer-administered surveys collected data among 330 participants (65.9 % male; 63.9 % non-Hispanic white) whose initial use of any opioid was a pharmaceutical opioid. Retrospective discrete-time survival analysis identified predictors of heroin initiation, measured as self-reported age of first heroin use.

RESULTS

Median age of first pharmaceutical opioid use was 17 years; 50.6 % initially acquired pharmaceutical opioids from an illicit source, 56.7 % first used pharmaceutical opioids for recreational purposes, and 86 % initiated heroin use. Average time from first pharmaceutical opioid use to first heroin use was 8.2 years. Drug/alcohol treatment (adjusted Hazard Ratio [aHR]: 0.67, 95 % CI: 0.50, 0.88) was associated with delayed time to heroin initiation. Obtaining opioids from non-medical sources (aHR: 2.21, 95 % CI: 1.55, 3.14) was associated with accelerated time to heroin initiation. Reporting supply problems with obtaining pharmaceutical opioids (e.g., unable to acquire pharmaceutical opioids) was associated with accelerated time to heroin initiation, but the magnitude of this effect was dependent on one's history of methamphetamine use (p < 0.05).

CONCLUSIONS

Time to heroin initiation following pharmaceutical opioid use was accelerated among those reporting supply problems and delayed among those with exposure to substance use treatment. Interventions interrupting supply of opioids might benefit from coordination with evidence-based medication-assisted treatment to minimize the risk of transitioning to heroin use, particularly among those with a long history of non-prescribed pharmaceutical opioid use.

Improving Access to Evidence-Based Medical Treatment for Opioid Use Disorder: Strategies to Address Key Barriers within the Treatment System

Even though evidence-based treatment for opioid use disorders (OUD) is effective, almost four in five Americans with OUD do not receive any form of treatment. The gap in access to evidence-based care, including treatment with medications for OUD, stems in part from barriers to change within the health care system. This paper includes nine key barriers that prevent access to evidence-based care, including stigma; inadequate clinical training; a dearth of addiction specialists; lack of integration of MOUD provision in practice; regulatory, statutory, and data sharing restrictions; and financial barriers. Action from a number of actors is urgently needed to address this crisis.

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.

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.

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.

Prescription drug monitoring programs and drug overdose deaths involving benzodiazepines and prescription opioids

BACKGROUND AND AIMS

In the US, benzodiazepine overdose deaths increased at an alarming rate in the past two decades. Benzodiazepines were also the most common drugs involved in prescription opioid overdose deaths. Benzodiazepine prescribing has been monitored by Prescription Drug Monitoring Programs (PDMPs), but little was known about whether PDMPs reduced drug overdose deaths involving benzodiazepines.

DESIGN AND METHODS

This study used a difference-in-difference design with state-quarter aggregate data on drug overdose deaths. The primary data source was Mortality Multiple Cause Files in 1999-2016. Three age-adjusted rates of drug overdose deaths were examined, including those involving benzodiazepines, those involving prescription opioids, and those involving both benzodiazepines and prescription opioids. The policy variables included PDMP data access for benzodiazepines and mandatory use of PDMP data for benzodiazepines. Linear multivariable regressions were used to assess the associations of PDMP policies specific to benzodiazepines with drug overdose death rates, controlling for other state-level policy and socioeconomic factors, state and time fixed effects, and state-specific time trends.

RESULTS

No significant associations were found between PDMP data access for benzodiazepines and changes in drug overdose death rates involving benzodiazepines and/or prescription opioids. Similarly, no significant associations were found between mandatory use of PDMP data for benzodiazepines and changes in drug overdose death outcomes.

DISCUSSION AND CONCLUSIONS

This study suggested no evidence that PDMP policies specific to benzodiazepines were associated with reduction in benzodiazepine overdose death rates. Future research is warranted to examine detailed features of PDMPs and continuously monitor the impacts of PDMP policies on benzodiazepine-related consequences.

Relationship of County Opioid Epidemic Severity to Changes in Access to Substance Use Disorder Treatment, 2009-2017

OBJECTIVE

The study measured the association between local opioid problem severity and changes in the availability of substance use disorder treatment programs, including the distance required for travel to treatment.

METHODS

A two-part, multivariable regression estimated the number of treatment facilities in the county (per 100,000 residents) and the number of miles to the nearest program (for all treatment programs, programs offering opioid use disorder medication, and programs accepting Medicaid) using data from the 2009-2017 National Directory of Drug and Alcohol Abuse Treatment Facilities. The unit of analysis was the county-year (N=28,270).

RESULTS

The probability of having at least one treatment program meeting the established criteria was greater in counties with a high-severity opioid problem than in counties with a low-severity problem, and the probability improved over time. In counties with a high-severity problem, the probability of having a treatment program offering buprenorphine, methadone, or both was 60.3% higher than in counties with low-severity problems. Between 2009 and 2017, the likelihood of having a treatment program that accepts Medicaid grew by 25.3%. For counties without treatment programs, the distance to the nearest program improved markedly over time, but there were no differences between distance to treatment in high-, moderate-, and low-severity status counties.

CONCLUSIONS

The treatment system has reduced structural barriers to treatment where it is most needed. However, these findings do not imply that the treatment system has sufficient capacity to address the present scope of the opioid crisis. Policy makers should leverage this responsiveness to incentivize additional improvements in access.

Evidence for state, community and systems-level prevention strategies to address the opioid crisis

BACKGROUND

Practitioners and policy makers need evidence to facilitate the selection of effective prevention interventions that can address the ongoing opioid overdose epidemic in the United States.

METHODS

We conducted a systematic review of publications reporting on rigorous evaluations of systems-level interventions to address provider and patient/public behavior and prevent prescription and illicit opioid overdose. A total of 251 studies were reviewed. Interventions studied included 1) state legislation and regulation, 2) prescription drug monitoring programs (PDMPs), 3) insurance strategies, 4) clinical guideline implementation, 5) provider education, 6) health system interventions, 7) naloxone education and distribution, 8) safe storage and disposal, 9) public education, 10) community coalitions, and 11) interventions employing public safety and public health collaborations.

RESULTS

The quality of evidence supporting selected interventions was low to moderate. Interventions with the strongest evidence include PDMP and pain clinic legislation, insurance strategies, motivational interviewing in clinical settings, feedback to providers on opioid prescribing behavior, intensive school and family-based programs, and patient education in the clinical setting.

CONCLUSIONS

Although evidence is growing, further high-quality research is needed. Investigators should aim to identify strategies that can prevent overdose, as well as influence public, patient, and provider behavior. Identifying which strategies are most effective at addressing prescription compared to illicit opioid misuse and overdose could be fruitful, as well as investigating synergistic effects and unintended consequences.

Evidence for state, community and systems-level prevention strategies to address the opioid crisis

BACKGROUND

Practitioners and policy makers need evidence to facilitate the selection of effective prevention interventions that can address the ongoing opioid overdose epidemic in the United States.

METHODS

We conducted a systematic review of publications reporting on rigorous evaluations of systems-level interventions to address provider and patient/public behavior and prevent prescription and illicit opioid overdose. A total of 251 studies were reviewed. Interventions studied included 1) state legislation and regulation, 2) prescription drug monitoring programs (PDMPs), 3) insurance strategies, 4) clinical guideline implementation, 5) provider education, 6) health system interventions, 7) naloxone education and distribution, 8) safe storage and disposal, 9) public education, 10) community coalitions, and 11) interventions employing public safety and public health collaborations.

RESULTS

The quality of evidence supporting selected interventions was low to moderate. Interventions with the strongest evidence include PDMP and pain clinic legislation, insurance strategies, motivational interviewing in clinical settings, feedback to providers on opioid prescribing behavior, intensive school and family-based programs, and patient education in the clinical setting.

CONCLUSIONS

Although evidence is growing, further high-quality research is needed. Investigators should aim to identify strategies that can prevent overdose, as well as influence public, patient, and provider behavior. Identifying which strategies are most effective at addressing prescription compared to illicit opioid misuse and overdose could be fruitful, as well as investigating synergistic effects and unintended consequences.

Prescription drug monitoring programs: Assessing the association between "best practices" and opioid use in Medicare

OBJECTIVE

To estimate the impact of implementing prescription drug monitoring program (PDMP) best practices on prescription opioid use.

DATA SOURCES

2007-2012 Medicare claims for noncancer pain patients, and PDMP attributes from the Prescription Drug Abuse Policy System.

STUDY DESIGN

We derived PDMP composite scores using the number of best practices adopted by states (range: 0-14), classifying states as either no PDMP, low strength (0 < score < median), or high strength (score ≥ median). Using generalized linear models, we quantified the association between the PDMP score category and opioid use measures-overall and stratified by disability/age. Sensitivity analyses assessed the general Medicare sample regardless of pain diagnoses, individual PDMP characteristics, and compared GEE model findings to models with state fixed effects.

PRINCIPAL FINDINGS

Compared to non-PDMP states, strong PDMP states had lower opioid cumulative doses (-296 mg; 95% CI: -512, -132), days supplied (-7.84; 95% CI: -10.6, -5.04), prescription fill rates (0.97; 95% CI: 0.95, 0.98), and mean daily doses (-2.31 mg; 95% CI: -3.14, -1.48) but greater prevalence of high opioid doses in disabled adults, whereas there was little or no change in older adults. Findings in states with weak PDMPs were substantively similar to those of strong PDMPs. Results from sensitivity analyses were mostly consistent with main findings except there was a null relationship with mean daily doses and high doses in models with state fixed effects.

CONCLUSIONS

Comprehensive or minimal adoption of PDMP best practices was associated with mostly comparable effects on Medicare beneficiaries' opioid use; however, these effects were concentrated among nonelderly disabled adults.

Clinical Practice Guidelines for Pain Management in Acute Musculoskeletal Injury

PURPOSE

We aimed to produce comprehensive guidelines and recommendations that can be utilized by orthopaedic practices as well as other specialties to improve the management of acute pain following musculoskeletal injury.

METHODS

A panel of 15 members with expertise in orthopaedic trauma, pain management, or both was convened to review the literature and develop recommendations on acute musculoskeletal pain management. The methods described by the Grading of Recommendations Assessment, Development, and Evaluation Working Group were applied to each recommendation. The guideline was submitted to the Orthopaedic Trauma Association (OTA) for review and was approved on October 16, 2018.

RESULTS

We present evidence-based best practice recommendations and pain medication recommendations with the hope that they can be utilized by orthopaedic practices as well as other specialties to improve the management of acute pain following musculoskeletal injury. Recommendations are presented regarding pain management, cognitive strategies, physical strategies, strategies for patients on long term opioids at presentation, and system implementation strategies. We recommend the use of multimodal analgesia, prescribing the lowest effective immediate-release opioid for the shortest period possible, and considering regional anesthesia. We also recommend connecting patients to psychosocial interventions as indicated and considering anxiety reduction strategies such as aromatherapy. Finally, we also recommend physical strategies including ice, elevation, and transcutaneous electrical stimulation. Prescribing for patients on long term opioids at presentation should be limited to one prescriber. Both pain and sedation should be assessed regularly for inpatients with short, validated tools. Finally, the group supports querying the relevant regional and state prescription drug monitoring program, development of clinical decision support, opioid education efforts for prescribers and patients, and implementing a department or organization pain medication prescribing strategy or policy.

CONCLUSIONS

Balancing comfort and patient safety following acute musculoskeletal injury is possible when utilizing a true multimodal approach including cognitive, physical, and pharmaceutical strategies. In this guideline, we attempt to provide practical, evidence-based guidance for clinicians in both the operative and non-operative settings to address acute pain from musculoskeletal injury. We also organized and graded the evidence to both support recommendations and identify gap areas for future research.

Good Samaritan harm reduction policy and drug overdose deaths

OBJECTIVE

To examine the effects of a harm reduction policy, specifically Good Samaritan (GS) policy, on overdose deaths.

DATA SOURCES/STUDY SETTING

Secondary data from multiple cause of death, mortality records paired with state harm reduction and substance use prevention policy.

STUDY DESIGN

We estimate fixed effects Poisson count models to model the effect of GS policy on overdose deaths for all, prescription, and illicit drugs, controlled substances, and opioids, while controlling for other harm reduction and substance use prevention policies.

DATA COLLECTION/EXTRACTION METHODS

We merge secondary data sources by state and year between 1999 and 2016.

PRINCIPAL FINDINGS

We fail to identify a statistically significant effect of GS policy in reducing overdose deaths broadly.

CONCLUSIONS

While we are unable to identify an effect of GS policy on overdose deaths, GS policy may have important effects on first-stage outcomes not investigated in this paper. Given recent state policy changes and rapid increase in many categories of overdose deaths, additional research should continue to examine the implementation and effects of harm reduction policy specifically and substance use prevention policy broadly.

Prevention of Prescription Opioid Misuse and Projected Overdose Deaths in the United States

IMPORTANCE

Deaths due to opioid overdose have tripled in the last decade. Efforts to curb this trend have focused on restricting the prescription opioid supply; however, the near-term effects of such efforts are unknown.

OBJECTIVE

To project effects of interventions to lower prescription opioid misuse on opioid overdose deaths from 2016 to 2025.

DESIGN, SETTING, AND PARTICIPANTS

This system dynamics (mathematical) model of the US opioid epidemic projected outcomes of simulated individuals who engage in nonmedical prescription or illicit opioid use from 2016 to 2025. The analysis was performed in 2018 by retrospectively calibrating the model from 2002 to 2015 data from the National Survey on Drug Use and Health and the Centers for Disease Control and Prevention.

INTERVENTIONS

Comparison of interventions that would lower the incidence of prescription opioid misuse from 2016 to 2025 based on historical trends (a 7.5% reduction per year) and 50% faster than historical trends (an 11.3% reduction per year), vs a circumstance in which the incidence of misuse remained constant after 2015.

MAIN OUTCOMES AND MEASURES

Opioid overdose deaths from prescription and illicit opioids from 2016 to 2025 under each intervention.

RESULTS

Under the status quo, the annual number of opioid overdose deaths is projected to increase from 33 100 in 2015 to 81 700 (95% uncertainty interval [UI], 63 600-101 700) in 2025 (a 147% increase from 2015). From 2016 to 2025, 700 400 (95% UI, 590 200-817 100) individuals in the United States are projected to die from opioid overdose, with 80% of the deaths attributable to illicit opioids. The number of individuals using illicit opioids is projected to increase by 61%-from 0.93 million (95% UI, 0.83-1.03 million) in 2015 to 1.50 million (95% UI, 0.98-2.22 million) by 2025. Across all interventions tested, further lowering the incidence of prescription opioid misuse from 2015 levels is projected to decrease overdose deaths by only 3.0% to 5.3%.

CONCLUSIONS AND RELEVANCE

This study's findings suggest that interventions targeting prescription opioid misuse such as prescription monitoring programs may have a modest effect, at best, on the number of opioid overdose deaths in the near future. Additional policy interventions are urgently needed to change the course of the epidemic.

Systematic Literature Review of Prescription Drug Monitoring Programs

Prescription opioid abuse has become a serious national problem. To respond to the opioid epidemic, states have implemented prescription drug monitoring programs (PDMPs) to monitor and reduce opioid abuse. We conducted a systematic literature review to better understand the PDMP impact on reducing opioid abuse, improving prescriber practices, and how EHR integration has impacted PDMP usability. Lessons learned can help guide federal and state-based efforts to better respond to the opioid crisis.

Variations in prescription drug monitoring program use by prescriber specialty

BACKGROUND

Although prescription drug monitoring programs (PDMPs) have been widely implemented to potentially reduce abuse of prescription opioids, there is limited data on variations in PDMP use by prescriber specialty. Such knowledge may guide targeted interventions to improve PDMP use.

METHODS

Using data from Washington state Medicaid program, we performed a retrospective cohort study of opioid prescribers and their PDMP queries between Nov 1, 2013 and Oct 31, 2014. PDMP registration was mandatory for emergency physicians, but not for other providers. The unit of analysis was the prescriber. The primary outcome was any prescriber queries of the PDMP. We used multivariate regression models to identify variations in PDMP queries by prescriber specialty, as well as to explore explanatory pathways for observed variations.

RESULTS

We studied 17,390 providers who prescribed opioids, including 8718 (50%) who were not registered with PDMP, 4767 (27%) who were registered but had no recorded use of the PDMP, and 3905 (23%) PDMP users (queries/user: median 18, IQR 5-64). Compared to general medicine physicians, PDMP use was higher for emergency physicians (OR 1.4, 95%CI: 1.2-1.7), and lower for surgical specialists (OR 0.1, 95%CI: 0.08-0.1), obstetrician-gynecologists (OR 0.2, 95%CI: 0.1-0.2) and dentists (OR 0.4, 95%CI: 0.4-0.5). Higher use by emergency physicians appeared to be mediated by higher registration rates, rather than by provider level predilection to use the PDMP.

CONCLUSIONS

A minority of opioid prescribers to Medicaid beneficiaries used the PDMP. We identified variations in PDMP use by prescriber specialty. Interventions to increase PDMP queries should target both PDMP registration and PDMP use after registration, as well as specialties with current low use rates.

Community pharmacies as access points for addiction treatment

BACKGROUND

There is growing interest in utilizing community pharmacies to support opioid abuse prevention and addiction treatment efforts. However, it is unknown whether the placement of community pharmacies is conducive to taking on such a role.

OBJECTIVE

To examine the distribution of community pharmacies in Wisconsin and its relationship with the location of addiction treatment facilities and opioid-related overdose events in rural and urban areas.

METHODS

The total number of opioid-related overdose deaths and crude death rates per 100,000 population were determined for each county in Wisconsin. Substance abuse treatment facilities were identified in each county to estimate access to formal addiction treatment. A list of pharmacies in the state was screened to identify community pharmacies in each county. Descriptive statistics and Pearson correlation coefficients were used to describe the distribution of and relationships between county-level opioid-related overdose death rates and the number of treatment facilities and community pharmacies in the state.

RESULTS

Wisconsin has 72 counties, of which 45 (62.5%) are classified as rural. Although the number of opioid-related overdose deaths was highly concentrated in urban areas, crude death rates per 100,000 population were similar in urban and rural areas. Rural counties were significantly less likely to have formal substance abuse treatment facilities (r = -.42, P = .00) or community pharmacies (r = -.44, P = .00) compared to urban counties. However, community pharmacies were more prevalent and more likely to be located in rural counties with higher rates of opioid-related overdose deaths than substance abuse treatment facilities. All but 1 of the 14 counties without a formal substance abuse treatment facility had access to 1 or more community pharmacies.

CONCLUSIONS

Community pharmacies are ideally located in areas that could be used to support medication-assisted addiction treatment efforts, particularly in rural areas lacking formal substance abuse treatment facilities.

Four States With Robust Prescription Drug Monitoring Programs Reduced Opioid Dosages

State prescription drug monitoring programs (PDMPs) aim to reduce risky controlled-substance prescribing, but early programs had limited impact. Several states implemented robust features in 2012-13, such as mandates that prescribers register with the program and regularly check its registry database. Some states allow prescribers to fulfill the latter requirement by designating delegates to check the registry. The effects of robust PDMP features have not been fully assessed. We used commercial claims data to examine the effects of implementing robust PDMPs in four states on overall and high-risk opioid prescribing, comparing those results to trends in similar states without robust PDMPs. By the end of 2014 the absolute mean morphine-equivalent dosages that providers dispensed declined in a range of 6-77 mg per person per quarter in the four states, relative to comparison states. Only in one of the four states, Kentucky, did the percentage of people who filled opioid prescriptions decline versus its comparator state, with an absolute reduction of 1.6 percent by the end of 2014. Robust PDMPs may be able to significantly reduce opioid dosages dispensed, percentages of patients receiving opioids, and high-risk prescribing.

Effect of Automated Prescription Drug Monitoring Program Queries on Emergency Department Opioid Prescribing

STUDY OBJECTIVE

We assess whether an automated prescription drug monitoring program intervention in emergency department (ED) settings is associated with reductions in opioid prescribing and quantities.

METHODS

We performed a retrospective cohort study of ED visits by Medicaid beneficiaries. We assessed the staggered implementation (pre-post) of automated prescription drug monitoring program queries at 86 EDs in Washington State from January 1, 2013, to September 30, 2015. The outcomes included any opioid prescribed within 1 day of the index ED visit and total dispensed morphine milligram equivalents. The exposure was the automated prescription drug monitoring program query intervention. We assessed program effects stratified by previous high-risk opioid use. We performed multiple sensitivity analyses, including restriction to pain-related visits, restriction to visits with a confirmed prescription drug monitoring program query, and assessment of 6 specific opioid high-risk indicators.

RESULTS

The study included 1,187,237 qualifying ED visits (898,162 preintervention; 289,075 postintervention). Compared with the preintervention period, automated prescription drug monitoring program queries were not significantly associated with reductions in the proportion of visits with opioid prescribing (5.8 per 1,000 encounters; 95% confidence interval [CI] -0.11 to 11.8) or the amount of prescribed morphine milligram equivalents (difference 2.66; 95% CI -0.15 to 5.48). There was no evidence of selective reduction in patients with previous high-risk opioid use (1.2 per 1,000 encounters, 95% CI -9.5 to 12.0; morphine milligram equivalents 1.22, 95% CI -3.39 to 5.82). The lack of a selective reduction in high-risk patients was robust to all sensitivity analyses.

CONCLUSION

An automated prescription drug monitoring program query intervention was not associated with reductions in ED opioid prescribing or quantities, even in patients with previous high-risk opioid use.

Impact of prescription drug monitoring programs (PDMPs) on opioid utilization among Medicare beneficiaries in 10 US States

BACKGROUND AND AIMS

Prescription Drug Monitoring Programs (PDMPs) are a principal strategy used in the United States to address prescription drug abuse. We (1) compared opioid use pre- and post-PDMP implementation and (2) estimated differences of PDMP impact by reason for Medicare eligibility and plan type.

DESIGN

Analysis of opioid prescription claims in US states that implemented PDMPs relative to non-PDMP states during 2007-12.

SETTING

Florida, Louisiana, Nebraska, New Jersey, Vermont, Georgia, Wisconsin, Maryland, New Hampshire and Arkansas, USA.

PARTICIPANTS

A total of 310 105 disabled and older adult Medicare enrolees.

MEASUREMENTS

Primary outcomes were monthly total opioid volume, mean daily morphine milligram equivalent (MME) dose per prescription and number of opioid prescriptions dispensed. The key predictors were PDMP status and time. Tests for moderation examined PDMP impact by Medicare eligibility (disability versus age) and drug plan [privately provided Medicare Advantage (MAPD) versus fee-for-service (PDP)].

FINDINGS

Overall, PDMP implementation was associated with reduced opioid volume [-2.36 kg/month, 95% confidence interval (CI) = -3.44, -1.28] and no changes in mean MMEs or opioid prescriptions 12 months after implementation compared with non-PDMP states. We found evidence of strong moderation effects. In PDMP states, estimated monthly opioid volumes decreased 1.67 kg (95% CI = -2.38, -0.96) and 0.75 kg (95% CI = -1.32, -0.18) among disabled and older adults, respectively, and 1.2 kg, regardless of plan type. MME reductions were 3.73 mg/prescription (95% CI = -6.22, -1.24) in disabled and 3.02 mg/prescription (95% CI = -3.86, -2.18) in MAPD beneficiaries, but there were no changes in older adults and PDP beneficiaries. Dispensed prescriptions increased 259/month (95% CI = 39, 479) among the disabled and decreased 610/month (95% CI = -953, -257) among MAPD beneficiaries.

CONCLUSIONS

Prescription drug monitoring programs (PDMPs) are associated with reductions in opioid use, measured by volume, among disabled and older adult Medicare beneficiaries in the United States compared with states that do not have PDMPs. PDMP impact on daily doses and daily prescriptions varied by reason for eligibility and plan type. These findings cannot be generalized beyond the 10 US states studied.