An Interrupted Time-series Evaluation of the Association Between State Laws Mandating Prescriber Use of Prescription Drug Monitoring Programs and Discontinuation of Chronic Opioid Therapy in US Veterans.

BACKGROUND: Most states have recently passed laws requiring prescribers to use prescription drug monitoring programs (PDMPs) before prescribing opioid medications. The impact of these mandates on discontinuing chronic opioid therapy among Veterans managed in the Veterans Health Administration (VA) is unknown. We assess the association between the earliest of these laws and discontinuation of chronic opioid therapy in Veterans receiving VA health care. METHODS: We conducted a comparative interrupted time-series study in the 5 states mandating PDMP use before August 2013 (Ohio, West Virginia, Kentucky, New Mexico, and Tennessee), adjusting for trends in the 17 neighboring control states without such mandates. We modeled 25 months of prescribing for each state centered on the month the mandate became effective. We included Veterans prescribed long-term outpatient opioid therapy (305 of the preceding 365 d). Our outcomes were discontinuation of chronic opioid therapy (primary outcome) and the average daily quantity of opioids per Veteran over the following 6 months (secondary outcome). RESULTS: We included 250 monthly cohorts with 225,665 unique Veterans and 3.4 million Veteran-months. Baseline discontinuation rates before the PDMP mandates were 0.4%-2.7% per month. Kentucky saw a discontinuation increase of 1 absolute percentage point following its PDMP mandate which decreased over time. The other 4 states had no significant association between their mandates and change in opioid discontinuation. There was no evidence of decreasing opioid quantities following PDMP mandates. CONCLUSION: We did not find consistent evidence that state laws mandating provider PDMP use were associated with the discontinuation of chronic opioid therapy within the VA for the time period studied.

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.

Trends in Office Visits During Which Opioids Were Prescribed for Adults With Arthritis in the US, 2006-2015.

OBJECTIVE: To analyze trends for visits to office-based physicians at which opioids were prescribed among adults with arthritis in the US, from 2006 to 2015. METHODS: We analyzed nationally representative data on patient visits to office-based physicians from 2006 to 2015 from the National Ambulatory Medical Care Survey (NAMCS). Visit percentages for first- and any-listed diagnosis of arthritis by age groups and sex were reported. Time points were grouped into 2-year intervals to increase the reliability of estimates. Annual percentage point change and 95% confidence intervals (95% CIs) were reported from linear regression models. RESULTS: From 2006 to 2015, the percentage of visits to office-based physicians by adults with a first-listed diagnosis of arthritis increased from 4.1% (95% CI 3.5%, 4.7%) in 2006-2007 to 5.1% (95% CI 3.9%, 6.6%) in 2014-2015 (P = 0.033). Among these visits, the percentage of visits with opioids prescribed increased from 16.5% (95% CI 13.1%, 20.5%) in 2006-2007 to 25.6% (95% CI 17.9%, 34.6%) in 2014-2015 (P = 0.017). The percentage of visits with any-listed diagnosis of arthritis increased from 6.6% (95% CI 5.9%, 7.4%) in 2006-2007 to 8.4% (95% CI 7.0%, 10.0%) in 2014-2015 (P = 0.001). Among these visits, the percentage of visits with opioids prescribed increased from 17.4% (95% CI 14.6%, 20.4%) in 2006-2007 to 25.0% (95% CI 19.7%, 30.8%) in 2014-2015 (P = 0.004). CONCLUSION: From 2006 to 2015, the percentage of visits to office-based physicians by adults with arthritis increased and the percentage of opioids prescribed at these visits also increased. NAMCS data will allow continued monitoring of these trends after the implementation of the 2016 Centers for Disease Control and Prevention Guideline for prescribing opioids for chronic pain.

Adherence to buprenorphine: An analysis of prescription drug monitoring program data.

BACKGROUND: Although buprenorphine is an evidence-based treatment for opioid use disorder (OUD), many individuals discontinue treatment soon after starting. This study assesses predictors of buprenorphine adherence using Prescription Drug Monitoring Program (PDMP) data. METHODS: PDMP data for Philadelphia, Pennsylvania were used to measure 180-day adherence to buprenorphine among new initiates. Adherence was classified using percent days covered (PDC), and new initiates with PDC ≥ 0.80 were classified as adherent. Multivariable logistic regression was conducted to determine factors associated with buprenorphine adherence. RESULTS: Between January 2017 and December 2018, 10,669 Philadelphia residents initiated buprenorphine and 26.6 % remained adherent after 180 days. Demographic factors associated with greater odds of adherence included age category and female sex (aOR: 1.37; 95 % CI: 1.25-1.50). Those filling an opioid prescription, other than buprenorphine, during the follow-up period had lower odds of adherence than those who did not fill an opioid prescription (aOR: 0.62; 95 % CI: 0.50-0.77). Odds of adherence was greater for those on the film formulation (aOR: 1.37; 95 % CI: 1.25-1.50) than the tablet formulation. Those filling medium (aOR: 1.76; 95 % CI: 1.55-2.00) and high dose (aOR: 5.11; 95 % CI: 4.30-6.17) buprenorphine prescriptions had higher odds of adherence than those filling low dose prescriptions. CONCLUSIONS: Individual demographics, receipt of an opioid prescription, buprenorphine formulation, and buprenorphine dose were all associated with adherence to buprenorphine. Ongoing strategies to address OUD need to prioritize increasing retention in long-term evidence-based buprenorphine treatment while also encouraging providers to regularly consult the PDMP to ensure patient compliance.

State-level prescription drug monitoring program mandates and adolescent injection drug use in the United States, 1995-2017: A difference-in-differences analysis.

BACKGROUND: Prescription opioid misuse is an ongoing crisis and a risk factor for injection drug use (IDU). Few studies have evaluated strategies for preventing opioid or IDU initiation among adolescents. We evaluated changes in the proportion of adolescents reporting IDU before and after prescription drug monitoring program (PDMP) mandates were implemented in 18 states compared to 29 states without such mandates. METHODS AND FINDINGS: This difference-in-differences analysis used biannual Youth Risk Behavioral Surveillance System (YRBSS) data representative of adolescents 17 to 18 years old across 47 states from 1995 to 2017. We compared changes in adolescent IDU in 18 states with and 29 states without PDMP mandates. Among 331,025 adolescents, 51.7% identified as male, 62.1% as non-Hispanic white, 17.4% as non-Hispanic black, and 14.6% as Hispanic. Overall, 3.5% reported IDU during the 2 years prior to PDMP mandates. In the final multivariable difference-in-differences model, we included individual age, sex, and race/ethnicity, as well as state and year as covariates from the YRBSS. We also included state- and year-specific poverty rates based on US Census Bureau data. Additionally, we controlled for state implementation of (non-mandated) PDMPs before states subsequently implemented mandates and pill mill laws. We conducted several sensitivity analyses, including repeating our main analysis using a logistic, rather than linear, model, and with a lead indicator on PDMP mandate implementation, a lag indicator, and alternative policy implementation dates. PDMP mandates were associated with a 1.5 percentage point reduction (95% CI -2.3 to -0.6 percentage points; p = 0.001) in adolescent IDU, on average over the years following mandate implementation, a relative reduction of 42.9% (95% CI -65.7% to -17.1%). The association of PDMP mandates with this reduction persisted at least 4 years beyond implementation. Sensitivity analyses were consistent with the main results. Limitations include the multi-stepped causal pathway from PDMP mandate implementation to changes in IDU and the potential for omitted state-level time-varying confounders. CONCLUSIONS: Our analysis indicated that PDMP mandates were associated with a reduction in adolescent IDU, providing empirical evidence that such mandates may prevent adolescents from initiating IDU. Policymakers might consider PDMP mandates as a potential strategy for preventing adolescent IDU.

Opioid-Prescribing Metrics in Washington State: Trends and Challenges.

CONTEXT: Analyses of prescribing trends using prescription drug monitoring programs (PDMP) are impacted by changes in reporting requirements and in the scheduling of medications by the Drug Enforcement Administration. In 2014, the Drug Enforcement Administration changed the status of tramadol from an unscheduled to a scheduled medication. The addition of tramadol to the PDMP may affect the prevalence of opioid-prescribing metrics and the interpretation of prescribing trends. OBJECTIVE: The objectives were to (1) examine trends in opioid prescribing in Washington State between 2012 and 2017, (2) assess the potential impact of adding tramadol to PDMP on these trends, and (3) describe challenges in defining and implementing opioid-prescribing metrics. DESIGN: Analysis of quarterly summary statistics of opioid prescribing. SETTING: Washington State. PARTICIPANTS: Washington State residents. MAIN OUTCOME MEASURES: The metrics include measures of opioid prescribing overall and by age group, chronic opioid prescribing, high-dose prescribing among those on chronic opioid therapy, prescribing of concurrent opioids and sedatives, days' supply of new opioid prescriptions, and transition from short-term to long-term use of opioids. RESULTS: In Washington, the prevalence of any opioid prescribing, chronic opioid prescribing, high-dose opioid prescribing, and prescribing of concurrent opioids and sedatives declined between 2012 and 2017. The prevalence of opioid prescribing was higher in older than in younger age groups. The addition of tramadol to the Washington PDMP in 2014 affected the observed prevalence of all opioid metrics and of all opioid-prescribing trends. Conclusions about trends in opioid prescribing differ substantially depending on whether tramadol is included or not, particularly in 2014 and 2015. CONCLUSIONS: The development of opioid-prescribing metrics is relatively new. There is likely much benefit of standard definitions of opioid metrics at the state and national levels to track important trends and compare progress from state to state.

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.

Substance Use Stigma, Primary Care, and the New York State Prescription Drug Monitoring Program.

Prescription drug monitoring programs (PDMPs) are databases that track controlled substances at the provider, patient, and pharmacy levels. While these databases are widely available at the state level throughout the United States, several jurisdictions in recent years have mandated the use of these systems by health care providers. This study explores the implementation of mandatory PDMP technology in primary care practice and the effects on treatment of people with possible substance use disorders. Findings are based on 53 in-depth interviews with primary care providers in New York City, collected shortly following the passage of legislation mandating use of a PDMP by health care providers in New York State. Findings suggest that use of the PDMP highlighted tensions between provider stigma toward substance use disorders and the clinical care of people who use drugs, challenging their stereotypes and biases. The parallel clinical and law enforcement purposes of PDMP technology placed providers in dual roles as clinicians and enforcers and encouraged the punitive treatment of patients. Finally, PDMP technology standardized the clinical assessment process toward a "diagnosis first" approach, consistent with prior scholarship on the implementation of emerging medical technologies.

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

BACKGROUND: Prescription monitoring programs (PMPs) can provide health care professionals with valuable information. However, few studies have explored providers' decision making for accessing PMPs. AIMS: This study aimed to identify provider characteristics and situational factors most influencing perceived importance of consulting the PMP for patients in a simulated context. DESIGN: The study used a cross-sectional factorial survey. SETTINGS: The survey was administered electronically. PARTICIPANTS/SUBJECTS: Community pharmacists, advanced practice registered nurses (APRNs), and physicians in Iowa. METHODS: Participants were recruited by mail which included a link to the online survey. The survey consisted of demographic questions, eight randomly generated vignettes, and one ranked item. The vignettes described a hypothetical prescription using eight experimental variables whose levels were randomly varied. Respondents evaluated each vignette for importance to access the PMP. Analyses used linear mixed-effects models in R (Version 3.5.0). RESULTS: A total of 138 responses were available for multilevel analysis. Women, physicians, and APRNs rated it more important to consult the PMP for a given prescription compared with men and pharmacists. Accessing a PMP was perceived as more important with cash payments, quantity dispensed, suspicion for misuse, hydromorphone and oxycodone prescriptions, and headache. Advancing age, postoperative pain, and anxiety or sleep indications were associated with less importance. CONCLUSIONS: Age, indication for prescribing, misuse, and payment mode each independently had greater importance to providers in accessing the PMP. This was the first study to isolate the influence of different controlled substances on how important it was to consult the PMP.

Comparing Changes in Controlled Substance Prescribing Trends by Provider Type.

BACKGROUND AND OBJECTIVES: Forty-nine out of 50 states have implemented Prescription Drug Monitoring Programs (PDMPs) to monitor controlled substance (CS) prescribing. PDMPs change health care provider behavior, but few studies have examined changes in CS prescription by health care provider type. METHODS: Aggregated yearly data, including number of CS prescriptions, doses, and doses per prescription by health care provider type (physician, advanced practice registered nurse [APRN], and dentist) for each year from 2011 to 2017 was provided by the state PDMP, Kentucky All Schedule Prescription Electronic Reporting System (KASPER). In aggregate, this data set included 64,578,307 total prescriptions and 3,982,130,994 total doses of Schedule II-V medications. RESULTS: Physicians and dentists showed a trend of decreasing prescriptions and doses for Schedule II opioids from 2012 to 2017 (27-32% reduction in 2017 compared to 2011). APRNs showed a substantive increase in the number of doses and prescriptions (121-204% increase in 2017 compared to 2011), with increases remaining when controlling for number of providers. Physicians increased doses and prescriptions of Schedule II stimulants (37% increase for both doses and prescriptions), but by a smaller magnitude than APRN increases in stimulants (334-360% increase). Dentists showed decreases in Schedule II stimulants prescribed (69-80% reduction). Similar trends, but more modest in magnitude, were observed for Schedule III-IV. DISCUSSION AND CONCLUSIONS: Although monitoring and continuing education requirements are similar across all providers in Kentucky, differences in prescription trends for Schedule II opioids and stimulants were noted for physicians, APRNs, and dentists. SCIENTIFIC SIGNIFICANCE: Changes in prescribing following introduction of mandatory use of KASPER markedly differed based on provider type, with increases observed for APRNs compared with physicians and dentists. These findings advance prior research by providing a detailed examination of prescribing trends by provider type subsequent to a PDMPs mandatory use law. (Am J Addict 2019;00:00-00).

The association between pain clinic laws and prescription opioid exposures: New evidence from multi-state comparisons.

OBJECTIVES: States in the US are controlling opioid prescribing to combat the opioid epidemic. Prescription Drug Monitoring Programs (PDMPs) were widely adopted, whereas less attention was given to pain clinic laws. This study examined the associations of mandatory use of PDMPs and pain clinic laws with prescription opioid exposures. METHODS: State-level quarterly prescription opioid exposures reported to the National Poison Data System during 2010-2017 were analyzed. The primary outcome was age-adjusted rates of prescription opioid exposures per 1,000,000 population. The primary policy variables included the implementation of mandatory use of PDMPs alone, the implementation of pain clinic laws alone, and the implementation of both mandatory use of PDMPs and pain clinic laws. Linear regressions were used to examine the associations, controlling for other opioid policies, marijuana policies, socioeconomic factors, state fixed effects, time fixed effects, and state-specific time trends. RESULTS: Requiring mandatory use of PDMPs alone was not associated with significant changes in prescription opioid exposures. The implementation of pain clinic laws with or without concurrent mandatory use of PDMPs was associated with 5 fewer prescription opioid exposures per 1,000,000 population or a 9 % reduction compared to the pre-policy period (p < 0.01). Further analysis revealed that the reduction associated with pain clinic laws was pronounced in exposures reported by healthcare facilities. CONCLUSIONS: This multi-state study provided new evidence that the implementation of pain clinic laws was associated with a significant reduction in prescription opioid exposures. Pain clinic laws may deserve further evaluation and consideration.

Overlapping prescriptions of opioids, benzodiazepines, and carisoprodol: "Holy Trinity" prescribing in the state of Florida.

BACKGROUND: High-risk combinations of controlled medications, such as those involving opioid analgesics, are under increased scrutiny because of their contribution to the opioid epidemic in the United States. Responsible prescribing guidelines indicate that the triple drug combination--opioids, benzodiazepines and skeletal muscle relaxants, especially carisoprodol--should not be concurrently prescribed. METHODS: This pharmacoepidemiologic study was designed to primarily examine the characteristics of patients receiving this triple combination compared to the group receiving only opioids and benzodiazepines. RESULTS: Results show that, while the number of exposed patients has declined since 2012, approximately 17,000 Floridians were prescribed this combination in 2017 alone. Demographically, recipients of these prescriptions were younger, more likely to be female, and geographically-localized. Furthermore, these patients were more frequently associated with a prescriber in the top 1% of opioid and/or benzodiazepine prescribing, have more multiple provider episodes ("doctor shopping"), and receive higher mean daily opioid dosages. CONCLUSIONS: These findings raise important questions as to how frequently prescribers are checking prescription drug monitoring programs, following US Centers for Disease Control and Prevention opioid prescribing guidelines, and/or handling the clinical challenges associated with pharmaceutical management of patients with complex, painful health conditions.

Advanced visualizations to interpret prescription drug monitoring program information.

OBJECTIVES: Prescription drug monitoring programs (PDMPs) are state-based databases that contain information about controlled substance prescriptions dispensed by pharmacies. Many states now mandate PDMP use by prescribers, despite unclear effectiveness. We hypothesize that it is possible to improve the interpretability, and hence effectiveness, of PDMPs by enhancing them. METHODS: This was a real-time simulation of an enhanced PDMP. Fifty practicing physicians (25 primary care, 25 emergency medicine) were randomized to see three cases with a standard profile or an enhanced profile that included graphical representation of prescriptions and identified risky prescribing patterns. After a two-month washout period, participants were placed in the opposite group. RESULTS: Physicians presented with the enhanced profile were more likely to correctly identify patients with multiple providers (97.0% vs. 85.8%, p = 0.002), overlapping opioid and benzodiazepine prescriptions (94.7% vs. 87.5%, p = 0.03), overlapping opioid prescriptions (89.5% vs. 70.8%, p < 0.01), high daily dosages of opioids (99.2% vs. 25.0%, p = 0.02), and traveling to distant pharmacies (79.7% vs. 2.5%, p < 0.01). There was no difference in interpretation time for the three cases (standard profile 657.3 s vs. enhanced profile 686.3 s, p = 0.31). CONCLUSIONS: A simulated PDMP with graphical displays and interpretation of findings was, for this cohort of emergency physicians and primary care physicians, associated with an increased ability to determine high-risk features on PDMP profiles.

Trending gabapentin exposures in Kentucky after legislation requiring use of the state prescription drug monitoring program for all opioid prescriptions.

OBJECTIVE: Gabapentin is a gamma-aminobutyric acid (GABA) analog approved by the Food and Drug Administration (FDA) for partial seizures and post-herpetic neuralgia. Due to its wide therapeutic window and minimal adverse effects, it is frequently prescribed for additional off-label uses. The purpose of this study was to characterize the number, exposure reason, medical outcomes, and disposition of gabapentin exposures reported to one regional poison control center (PCC). METHODS: A retrospective cross-sectional review of exposures reported to one regional PCC was performed from January 1, 2012 to December 31, 2015. The primary outcomes were the number of gabapentin-only exposures and multi-agent exposures including gabapentin reported. Exposure reason, medical outcome, and disposition were identified for each exposure. RESULTS: There were 424 gabapentin-only exposures during the study period. The number of exposures increased each year, from 39 in 2012 to 160 in 2015. There were 1321 multi-agent exposures that included gabapentin. These exposures increased from 165 in 2012 to 440 in 2015. Comparatively, total human exposures reported to the regional PCC decreased during the study period. The majority of gabapentin-only and multi-agent exposures was intentional versus unintentional. Nine patients (2%) had a major medical outcome and three patients (1%) died in the gabapentin-only group. Comparatively, 76 patients (6%) had a major medical outcome and 12 patients (1%) died in the multi-agent group. Almost half of the multi-agent exposures required admission to the intensive care unit (ICU). CONCLUSIONS: Both gabapentin-only and multi-agent exposures increased significantly from 2012 to 2015, with the majority of cases intentional ingestion, specifically suspected suicide. The increased number of gabapentin exposures coincided with Kentucky's implementation of prescription opioid reform legislation. Providers are encouraged to call their local PCC, regardless of exposure type, to effectively monitor and evaluate exposure trends.

Trajectories of dispensed prescription opioids among beneficiaries enrolled in a Medicaid controlled substance "lock-in" program.

PURPOSE: "Lock-in" programs (LIPs) are used by health insurers to address potential substance (eg, opioid) misuse among beneficiaries. We sought to (1) examine heterogeneity in trajectories of dispensed opioids (in average daily morphine milligram equivalents (MMEs)) over time: prior to, during, and following release from a LIP, and (2) assess associations between trajectory patterns and beneficiary characteristics. METHODS: Medicaid claims were linked to Prescription Drug Monitoring Program records for a cohort of beneficiaries enrolled in the North Carolina Medicaid LIP (n = 2701). Using latent class growth analyses, we estimated trajectories of average daily MMEs of opioids dispensed to beneficiaries across specific time periods of interest. RESULTS: Five trajectory patterns appeared to sufficiently describe underlying heterogeneity. Starting values and slopes varied across the 5 trajectory groups, which followed these overall patterns: (1) start at a high level of MMEs, end at a high level of MMEs (13.1% of cohort); (2) start medium, end medium (13.2%); (3) start medium, end low (21.5%); (4) start low, end medium (22.6%); and (5) start low, end low (29.6%). We observed strong associations between patterns and beneficiaries' demographics, substance use-related characteristics, comorbid conditions, and healthcare utilization. CONCLUSIONS: In its current form, the Medicaid LIP appeared to have limited impact on beneficiaries' opioid trajectories. However, strong associations between trajectory patterns and beneficiary characteristics provide insight into potential LIP design modifications that might improve program impact (eg, LIP integration of substance use disorder assessment and referral to treatment, assessment and support for alternate pain therapies).

A typology of prescription drug monitoring programs: a latent transition analysis of the evolution of programs from 1999 to 2016.

BACKGROUND AND AIMS: Prescription drug monitoring programs (PDMP), defined as state-level databases used in the United States that collect prescribing information when controlled substances are dispensed, have varied substantially between states and over time. Little is known about the combinations of PDMP features that, collectively, may produce the greatest impact on prescribing and overdose. We aimed to (1) identify the types of PDMP models that have developed from 1999 to 2016, (2) estimate whether states have transitioned across PDMP models over time and (3) examine whether states have adopted different types of PDMP models in response to the burden of opioid overdose. METHODS: A latent transition analysis of PDMP models based on an adaptation of nine PDMP characteristics classified by prescription opioid policy experts as potentially important determinants of prescribing practices and prescription opioid overdose events. RESULTS: We divided the time-period into three intervals (1999-2004, 2005-09, 2010-16), and found three distinct PDMP classes in each interval. The classes in the first and second interval can be characterized as 'no/weak', 'proactive' and 'reactive' types of PDMPs, and in the third interval as 'weak', 'cooperative' and 'proactive'. The meaning of these classes changed over time: until 2009, states in the 'no/weak' class had no active PDMP, whereas states in the 'proactive' class were more likely to proactively provide unsolicited information to PDMP users, provide open access to law enforcement, and require more frequent data reporting than states in the 'reactive' class. In 2010-16, the 'weak' class resembled the 'reactive' class in previous intervals. States in the 'cooperative' class in 2010-16 were less likely than states in the 'proactive' class to provide unsolicited reports proactively or to provide open access to law enforcement; however, they were more likely than those in the 'proactive' class to share PDMP data with other states and to report more federal drug schedules. CONCLUSIONS: Since 1999, US states have tended to transition to more robust classes of prescription drug monitoring programs. Opioid overdose deaths in prior years predicted the state's prescription drug monitoring program class but did not predict transitions between prescription drug monitoring program classes over time.

Estimating the Direct Costs of Outpatient Opioid Prescriptions: A Retrospective Analysis of Data from the Rhode Island Prescription Drug Monitoring Program.

BACKGROUND: Overuse and misuse of prescription opioids is associated with increased morbidity and mortality and places a significant cost burden on health systems. OBJECTIVE: To estimate annual statewide spending for prescription opioids in Rhode Island. METHODS: A cross-sectional study of opioids dispensed from retail pharmacies using data from the Rhode Island Prescription Drug Monitoring Program (PDMP) was performed. The study sample consisted of 651,227 opioid prescriptions dispensed to 197,062 patients between January 1, 2015, and December 31, 2015. The mean, median, and total cost of opioid use was estimated using prescription dispensings and patients as units of analysis. A generalized linear model with gamma distribution with an identity link function, and separately with a log link function, was used to estimate the absolute and relative differences in per-patient annual adjusted average opioid prescription cost, respectively, by potential predictors. RESULTS: The estimated 2015 annual expenditure for opioid prescriptions in Rhode Island was $44,271,827. The average and median costs of an opioid prescription were $67.98 (SD $210.91) and $21.08 (quartile 1 to quartile 3 = $7.65-$47.51), respectively. Prescriptions for branded opioid products accounted for $17,380,279.05, which was approximately 39.3% of overall spending, although only 6% of all opioids dispensed were for branded drugs. On average, patients aged 45-54 years and 55-64 years had overall adjusted spending for opioids that were 1.53 (95% CI = 1.49-1.57) and 1.75 (95% CI = 1.71-1.80) times higher than patients aged 65 years and older, respectively. Per patient Medicaid and Medicare average annual spending for opioid prescriptions were 1.19 (95% CI = 1.16-1.22) and 2.01 (95% CI = 1.96-2.06) times higher than commercial insurance spending, respectively. Annual opioid prescription spending was 2.01 (95% CI = 1.98-2.04) and 1.50 (95% CI = 1.45-1.55) times higher among patients who also had at least 1 dispensing of a benzodiazepine or sympathomimetic stimulant, respectively. Average total spending for prescription opioids per patient increased with the average daily dosage: from 3-fold for patients using 50-90 morphine milligrams equivalent (MME) daily to 22-fold for those receiving 90 or more MME daily compared with those receiving less than 50 MME daily. CONCLUSIONS: This study provides the first estimate of the statewide direct cost burden of prescription opioid use using PDMP data and standardized pricing benchmarks. Total annual cost increased with age up to 65 years, mean daily dose, and concurrent use of benzodiazepines or stimulants. Commercial insurance bore the majority of the cost of prescription opioid use, but cost per patient was highest among Medicare beneficiaries. In addition to reducing harms associated with opioid overuse and misuse, substantial cost savings could be realized by reducing unnecessary opioid use, especially among middle-aged adults. DISCLOSURES: This study was funded by the Rhode Island Department of Health. Aroke and Kogut report grants from the Rhode Island Department of Health during this study. Kogut is partially supported by Institutional Development Award Number U54GM115677 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds Advance Clinical and Translational Research (Advance-CTR). Koziol reports grants from the Centers for Disease Control and Prevention during this study. The other authors have nothing to disclose. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Study concept and design were contributed by Koziol, Ragosta, and Kogut, along with Aroke. Koziol, Ragosta, Aroke, and Kogut collected the data, and data interpretation was performed by Aroke, Buchanan, Wen, and Kogut. The manuscript was primarily written by Aroke, along with Buchanan and Kogut, and revised by Aroke, Buchanan, Wen, and Kogut.

Medical prescriptions falsified by the patients: a 12-year national monitoring to assess prescription drug diversion.

Diversion of prescription drugs is difficult to assess in quality and quantity. This study aimed to characterize diversion of prescription drugs in France through a comparative analysis of falsified prescriptions collected during three periods from 2001 to 2012. The data recorded in a national program which records all falsified prescriptions presented to community pharmacies were studied. Included data regarded: subjects, prescription forms, and drugs. Description of the dataset in three periods (2001-2004, 2005-2008, and 2009-2012) was completed with clustering analyses to characterize profiles of prescriptions and subjects associated with the most reported drugs. The 4469 falsified prescriptions concerned most often females (51.6%). Average age was 46.5 years. Zolpidem, bromazepam, and buprenorphine were the most frequent drugs. Alone, 13 drugs (1.7%, 13/772) represented more than 40% of the total reports (3055/7272). They were associated with three diversion profiles: (i) buprenorphine, flunitrazepam, and morphine were mentioned on overlapping secure prescription forms presented by young men; (ii) alprazolam, bromazepam, zolpidem, codeine/acetaminophen were mentioned on simple prescription forms presented by experienced women; and (iii) acetaminophen and lorazepam were mentioned on modified prescription forms presented by elderly subjects. Clonazepam, clorazepate, dextropropoxyphene, zopiclone moved between those profiles. The patterns of falsified prescriptions provided in this study contribute to enhance the scientific knowledge on the most diverted prescription drugs. The latter follow distinct trajectories across time depending on their pharmacology (including their abuse/addiction potential) and on their regulation's history. The close and continuous analysis of falsified prescriptions is an excellent way to monitor prescription drug diversion.