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Background: Prescription drug monitoring programs (PDMPs) are state-level databases that track and inform prescribing practices to reduce prescription drug diversion and misuse. To our knowledge, only three studies have examined the impact of PDMPs on opioid-related outcomes among adolescents, and none have focused on prescription pain medication misuse among adolescents., Methods: This study leveraged data from the 2019 National Youth Risk Behavior Survey (YRBS) to explore the associations between five categories of PDMP dimensions and the prevalence of self-reported prescription pain medication misuse. Demographic factors' associations with self-reported prescription pain medication misuse were also examined., Results: In 2019, none of the PDMP dimensions were associated with self-reported prescription pain medication misuse among U.S. high school students, adjusting for gender, grade, race/ethnicity, and sexual orientation., Conclusions: None of the five PDMP dimensions were associated with lower prescription pain medication misuse, however further research is needed, especially as new YRBS data become available., (© 2024. The Author(s).)

Objective: To evaluate the impact of PDMP integration in the EHR on provider query rates within twelve primary care clinics in one academic medical center. Methods: Using linked data from the EHR and state PDMP program, we evaluated changes in PDMP query rates using a stepped-wedge observational design where integration was implemented in three waves (four clinics per wave) over a five-month period (May, July, September 2019). Multivariable negative binomial general estimating equations (GEE) models assessed changes in PDMP query rates, overall and across several provider and clinic-level subgroups. Results: Among 206 providers in PDMP integrated clinics, the average number of queries per provider per month increased significantly from 1.43 (95% CI 1.07 - 1.91) pre-integration to 3.94 (95% CI 2.96 - 5.24) post-integration, a 2.74-fold increase (95% CI 2.11 to 3.59; p < .0001). Those in the lowest quartile of PDMP use pre-integration increased 36.8-fold (95% CI 16.91 - 79.95) after integration, significantly more than other pre-integration PDMP use quartiles. Conclusions: Integration of the PDMP in the EHR significantly increased the use of the PDMP overall and across all studied subgroups. PDMP use increased to a greater degree among providers with lower PDMP use pre-integration., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Importance: Limiting opioid overprescribing in the emergency department (ED) may be associated with decreases in diversion and misuse., Objective: To review and analyze interventions designed to reduce the rate of opioid prescriptions or the quantity prescribed for pain in adults discharged from the ED., Data Sources: MEDLINE, Embase, CINAHL, PsycINFO, and Cochrane Controlled Register of Trials databases and the gray literature were searched from inception to May 15, 2020, with an updated search performed March 6, 2021., Study Selection: Intervention studies aimed at reducing opioid prescribing at ED discharge were first screened using titles and abstracts. The full text of the remaining citations was then evaluated against inclusion and exclusion criteria by 2 independent reviewers., Data Extraction and Synthesis: Data were extracted independently by 2 reviewers who also assessed the risk of bias. Authors were contacted for missing data. The main meta-analysis was accompanied by intervention category subgroup analyses. All meta-analyses used random-effects models, and heterogeneity was quantified using I2 values., Main Outcomes and Measures: The primary outcome was the variation in opioid prescription rate and/or prescribed quantity associated with the interventions. Effect sizes were computed separately for interrupted time series (ITS) studies., Results: Sixty-three unique studies were included in the review, and 45 studies had sufficient data to be included in the meta-analysis. A statistically significant reduction in the opioid prescription rate was observed for both ITS (6-month step change, -22.61%; 95% CI, -30.70% to -14.52%) and other (odds ratio, 0.56; 95% CI, 0.45-0.70) study designs. No statistically significant reduction in prescribed opioid quantities was observed for ITS studies (6-month step change, -8.64%; 95% CI, -17.48% to 0.20%), but a small, statistically significant reduction was observed for other study designs (standardized mean difference, -0.30; 95% CI, -0.51 to -0.09). For ITS studies, education, policies, and guideline interventions (6-month step change, -33.31%; 95% CI, -39.67% to -26.94%) were better at reducing the opioid prescription rate compared with prescription drug monitoring programs and laws (6-month step change, -11.18%; 95% CI, -22.34% to -0.03%). Most intervention categories did not reduce prescribed opioid quantities. Insufficient data were available on patient-centered outcomes such as pain relief or patients' satisfaction., Conclusions and Relevance: This systematic review and meta-analysis found that most interventions reduced the opioid prescription rate but not the prescribed opioid quantity for ED-discharged patients. More studies on patient-centered outcomes and using novel approaches to reduce the opioid quantity per prescription are needed., Trial Registration: PROSPERO Identifier: CRD42020187251.

Purpose: Determine whether opioid prescribing patterns have changed as a result of implementation of a prescription drug monitoring program (PDMP) in the state of Massachusetts., Materials and Methods: A multicentered retrospective study was performed including patients who received tonsillectomy, parotidectomy, thyroidectomy or direct laryngoscopy and biopsy with or without rigid esophagoscopy and/or rigid bronchoscopy at Lahey Hospital and Medical Center (Burlington, MA) or Boston Medical Center (Boston, MA). Opioid prescribing patterns were compared for the 12 months prior to implementation of the Massachusetts Prescription Awareness Tool (MassPAT) to 36 months of prescribing patterns post implementation. Quantity of opioids prescribed was based on morphine milligram equivalents (MME). Continuous variables were compared using analysis of variance (ANOVA) while categorical variables were compared using chi-squared test or Fisher's exact test. Multivariate analysis was performed using linear regression., Results: A total of 2281 patients were included in the study. There was a significant association in mean overall MME prescribed comparing pre-MassPAT and post-MassPAT data [tonsillectomy: 635.9 ± 175.6 vs 463.3 ± 177.7 (p < 0.0001), parotidectomy: 250.4 ± 71.33 vs 169.8 ± 79.26 (p < 0.0001), thyroidectomy: 186.2 ± 81.14 vs 118.3 ± 88.79 (p < 0.0001), direct laryngoscopy with biopsy: 308.3 ± 246.9 vs 308.3 ± 246.9 (p = 0.0201)]. There was also a significant association between length of opioid prescription (days) and implementation of MassPAT, but there was no significant difference in the percent of patients requiring refills pre- MassPAT and post-MassPAT., Conclusion: This study demonstrates that prescribers have been able to significantly decrease the amount of opioids prescribed for tonsillectomy, parotidectomy, thyroidectomy, and direct laryngoscopy and biopsy and patients have not required additional opioid refills., (Copyright © 2021 Elsevier Inc. All rights reserved.)

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., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

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., (© 2021 Health Research and Educational Trust.)

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.

Background: The term "doctor and pharmacy shopping" colloquially describes patients with high multiple provider episodes (MPEs)-a threshold count of distinct prescribers and/or pharmacies involved in prescription fulfillment. Opioid-related MPEs are implicated in the global opioid crisis and heavily monitored by government databases such as U.S. state prescription drug monitoring programs (PDMPs). We applied a widely-used MPE definition to examine U.S. trends from a large, commercially-insured population from 2010 to 2017. Further, we examined the proportion of enrollees identified as "doctor shoppers" with evidence of a cancer diagnosis to examine the risk of false positives., Methods: Using a large, commercially-insured population, we identified patients with opioid-related MPEs: opioid prescriptions (Schedule II-V, no buprenorphine) filled from ≥5 prescribers AND ≥ 5 pharmacies within the past 90 days ("5x5x90d"). Quarterly rates per 100,000 enrollees (two specifications) were calculated between 2010 and 2017. We examined the trend in a recently published all-payer, 7 state cohort from the U.S. Centers for Disease Control and Prevention for comparison. Cancer-related ICD-9/10-CM codes were used., Results: Quarterly MPE rates declined by approximately 73 % from 18.2-4.9 per 100,000 enrollee population with controlled substance prescriptions. In 2017, nearly one fifth of these commercially-insured enrollees identified by the 5x5x90d algorithm were diagnosed with cancer. Approximately 8% of this sample included patients with ≥ 1 buprenorphine prescriptions., Conclusions: Opioid "shopping" flags are a long-standing but rapidly fading PDMP signal. To avoid unintended consequences, such as identifying legitimate medical encounters requiring high healthcare utilization or opioid treatment, while maintaining vigilance, more nuanced and sophisticated approaches are needed., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: The opioid overdose epidemic has been declared a public health emergency. Women are more likely than men to be prescribed opioid medications. Some states have adopted policies to improve opioid prescribing, including prescription drug monitoring programs (PDMPs) and pain clinic laws., Objective: Among reproductive-aged women, we examined the association of mandatory use laws for PDMPs in Kentucky (concurrent with a pain clinic law) and New York with overdose involving prescription opioids or heroin and opioid use disorder (OUD)., Study Design, Subjects, and Outcome Measures: We conducted interrupted time series analyses estimating outcome changes after policy implementation in Kentucky and New York, compared with geographically close states without these policies (comparison states), using 2010-2014 State Inpatient and State Emergency Department Databases. Outcomes included rates of inpatient discharges and emergency department visits for overdoses involving prescription opioids or heroin and OUD among reproductive-aged women., Results: Relative to comparison states, following Kentucky's policy change, we found an immediate postpolicy decrease and a decreasing trend in the rate of overdoses involving prescription opioids, an immediate postpolicy increase in the rate of overdoses involving heroin, and a decreasing trend in the OUD rate (P<0.01); New York's policy change was not associated with the assessed outcomes., Conclusions: PDMPs and pain clinic laws, such as those implemented in Kentucky, may be promising strategies to reduce the adverse impacts of high-risk opioid prescribing among reproductive-aged women. As states continue efforts to improve inappropriate opioid prescribing, similar strategies as those adopted in Kentucky merit consideration., Competing Interests: The authors declare no conflict of interest., (Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose: Public and private payers have implemented benefit limitations to reduce high-risk opioid prescriptions. The effect of these policies on the increase of out-pocket payment is unclear. To understand this gap, we compared the discrepancies in trends between opioid prescription fills vs claims among Medicaid beneficiaries., Methods: Data from the Oregon Prescription Drug Monitoring Program (PDMP) and Oregon Medicaid administrative claims were used to identify Medicaid beneficiaries 18 years and older enrolled at least one full month from 2015 to 2017. Generalized linear models assessed the trends in the monthly rates of opioid PDMP prescription fills and pharmacy claims per 1000 eligible members. Rates by morphine equivalent dose (MED) tier (<50, 50-89, 90-120, >120 MED) and co-prescribed opioid and benzodiazepine were also assessed., Results: During the study period, an average of 495 355 Medicaid members had 2 797 054 opioid PDMP fills and 2 472 155 opioid Medicaid pharmacy claims. Study participants had 15.4 (95% confidence interval [CI] 13.6 to 17.0; P < .001) more prescriptions per 1000 member per month in the PDMP data (114.1 [SD 7.4]) compared with the Medicaid claims data (98.7 [SD 7.9]). Similarly, there were 1.9 more co-occurring opioid/benzodiazepine prescriptions per 1000 members per month observed in the PDMP data than the Medicaid claims data (95% CI 1.7 to 2.1; P < .001). At each MED tier, the PDMP fills were consistently higher than the claims (P < .001)., Conclusions: Higher rate of fills in the PDMP compared to pharmacy claims suggests that there may be an increasing trend of out-of-pocket payment among Medicaid beneficiaries., (© 2020 John Wiley & Sons Ltd.)

Objective: To evaluate the effect of a 2016 South Carolina payor mandate to query the state prescription drug monitoring program (PDMP) before prescribing controlled substances on the rate of opioid prescribers in South Carolina., Methods: South Carolina PDMP datasets from 2010-2017 were evaluated using interrupted time series regression to compare changes in the rate of opioid prescribers before and after the 2016 mandate. The rate of opioid prescribers was defined as the number of prescribers who prescribed class II to IV opioids on any one prescription in each quarter divided by the total number of South Carolina prescribers who prescribed any one class II to IV medication. The rate of high-dose opioid prescribers was defined as the number of prescribers who prescribed ≥90-morphine milligram equivalent per day on any one prescription in each quarter divided by all of the prescribers who prescribed an opioid analgesic prescription., Results: The rates of South Carolina opioid prescribers decreased from 75% in 2010 to 60% in 2017, with no significant change in slope ( P = 0.24) after the 2016 payor mandates. The rates of South Carolina high-dose opioid prescribers decreased from 40% in 2010 to 32% in 2017, with a significant decrease in slope ( P < 0.001) after the payor mandate., Conclusions: The slope of the South Carolina high-dose opioid prescriber rate significantly decreased after the 2016 South Carolina payor mandate, while the slope of the South Carolina opioid prescriber rate did not. The long-term outcomes related to the change in opioid prescriber rates are unknown and warrant further study.

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.

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.

Context: To address risks associated with prescription opioid medications, guidelines recommend lower dose, shorter duration of use, and avoidance of concurrent sedatives. Monitoring opioid-prescribing practices is critical for assessing guideline impact, comparing populations, and targeting interventions to reduce risks., Objective: To describe development of Washington (WA) State opioid-prescribing metrics, provide purpose and definitions, and apply metrics to prescription data for WA health care organizations., Design: We describe the development and testing of opioid-prescribing metrics by the WA State Bree Collaborative opioid work group., Setting: Washington State., Participants: Kaiser Permanente of Washington (KPW) Integrated Group Practice, KPW-contracted care providers, and WA Medicaid., Main Outcome Measures: Set of 6 strategic metrics tested across 3 different health systems adopted by WA State in 2017 for uniform tracking of opioid-prescribing guidelines and state policies. These metrics include (1) overall prevalence of any opioid use, (2) chronic use, (3) high-dose chronic use, (4) concurrent chronic sedative use, (5) days' supply of new prescriptions, and (6) transition from acute to chronic use., Results: In the first quarter of 2010, 10% to 12% of KPW and 14% of Medicaid patients received at least 1 opioid prescription. Among opioid users, 22% to 24% of KPW and 36% of Medicaid patients received chronic opioids. Among patients receiving chronic opioids, 16% to 22% of KPW and 32% of Medicaid patients received high doses (≥90 morphine-equivalent dose per day) and 20% to 23% of KPW and 33% of Medicaid patients received concurrent chronic sedatives. Five percent of Medicaid and 2% to 3% of KPW patients receiving new opioid prescriptions transitioned to chronic opioid use., Conclusions: The metrics are relatively easy to calculate from electronic health care data and yield meaningful comparisons between populations or health plans. These metrics can be used to display trends over time and to evaluate the impact of opioid-prescribing policy interventions.

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)., (Copyright © 2019 American Academy of Addiction Psychiatry.)

Introduction: Prescription Drug Monitoring Program data can provide insights into a patient's likelihood of an opioid overdose, yet clinicians and public health officials lack indicators to identify individuals at highest risk accurately. A predictive model was developed and validated using Prescription Drug Monitoring Program prescription histories to identify those at risk for fatal overdose because of any opioid or illicit opioids., Methods: From December 2018 to July 2019, a retrospective cohort analysis was performed on Maryland residents aged 18-80 years with a filled opioid prescription (n=565,175) from January to June 2016. Fatal opioid overdoses were identified from the Office of the Chief Medical Examiner and were linked at the person-level with Prescription Drug Monitoring Program data. Split-half technique was used to develop and validate a multivariate logistic regression with a 6-month lookback period and assessed model calibration and discrimination., Results: Predictors of any opioid-related fatal overdose included male sex, age 65-80 years, Medicaid, Medicare, 1 or more long-acting opioid fills, 1 or more buprenorphine fills, 2 to 3 and 4 or more short-acting schedule II opioid fills, opioid days' supply ≥91 days, average morphine milligram equivalent daily dose, 2 or more benzodiazepine fills, and 1 or more muscle relaxant fills. Model discrimination for the validation cohort was good (area under the curve: any, 0.81; illicit, 0.77)., Conclusions: A model for predicting fatal opioid overdoses was developed using Prescription Drug Monitoring Program data. Given the recent national epidemic of deaths involving heroin and fentanyl, it is noteworthy that the model performed equally well in identifying those at risk for overdose deaths from both illicit and prescription opioids., (Copyright © 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Presurgical controlled substance use predicts postoperative complications, increased readmissions, and mortality. We aimed to examine if a Prescription Drug Monitoring Program (PDMP) would detect underreported controlled substance use in patients undergoing liver transplant evaluation. We performed a retrospective cohort study at a tertiary referral center of patients undergoing liver transplant evaluation in 2017. PDMP reviews were performed on all 360 patients and urine drug screen (UDS) results were reviewed when available to evaluate dispensed controlled substances. These results were compared to the patient's self-reported medication list at evaluation to identify any underreporting. The primary outcome was the number of self-reported controlled substance discrepancies on the medication list identified by PDMP and UDS at the time of evaluation. Among the 360 patients, 87 (24%) had a discrepancy where PDMP revealed a controlled substance prescription that the patient did not report on their medication list. Seventy-seven (67/87) of these discrepancies involved opiates. Of the 360 patients, 219 (61%) had a negative UDS, but 70 (32%) of these patients had at least one controlled substance listed on PDMP. PDMP is a promising screening tool when used in conjunction with the UDS for detecting underreported controlled substance use in liver transplant candidates., (© 2019 The American Society of Transplantation and the American Society of Transplant Surgeons.)

Timely access to patient data is critical in patient care. The utilization of health information exchange and prescription drug monitoring programs can make pertinent data readily accessible for emergency department providers to coordinate care. A quasi-experimental preintervention-postintervention design, with 62 providers and 53 554 emergency department visits linked to a health information exchange and prescription drug monitoring program, was used to evaluate rates for utilization, laboratory/imaging orders, narcotic prescribing and readmission. Health information exchange utilization increased significantly after the drug monitoring program was implemented (mean = 119.33 to mean = 231.33, t2 = -15.79, P < .001). There was no significant effect postprescription drug monitoring program for laboratory/imaging orders or narcotics at discharge, although narcotic orders during emergency visits increased (F1,23 = 7.953, P = .010), which may suggest the data confirmed the immediate need to control acute or chronic conditions. In addition, readmission rates decreased from 14.64% to 12.58%. Through streamlining processes, health information exchange and prescription drug monitoring program usage were increased, which can improve care. As organizations promote interoperability of health information, the nurse informaticist plays a significant role in managing access to systems that can assist all providers in coordinating care.

Background: The continued rise in fatalities from opioid analgesics despite a steady decline in the number of individual prescriptions directing ≥ 90 morphine milligram equivalents (MME)/day may be explained by patient exposures to redundant prescriptions from multiple prescribers., Objectives: We evaluated prescribers' specialty and social network characteristics associated with high-risk opioid exposures resulting from single-prescriber high-daily dose prescriptions or multi-prescriber discoordination., Design: Retrospective cohort study., Participants: A cohort of prescribers with opioid analgesic prescription claims for non-cancer chronic opioid users in an Illinois Medicaid managed care program in 2015-2016., Main Measures: Per prescriber rates of single-prescriber high-daily-dose prescriptions or multi-prescriber discoordination., Key Results: For 2280 beneficiaries, 36,798 opioid prescription claims were submitted by 3532 prescribers. Compared to 3% of prescriptions (involving 6% of prescribers and 7% of beneficiaries) that directed ≥ 90 MME/day, discoordination accounted for a greater share of high-risk exposures-13% of prescriptions (involving 23% of prescribers and 24% of beneficiaries). The following specialties were at highest risk of discoordinated prescribing compared to internal medicine: dental (incident rate ratio (95% confidence interval) 5.9 (4.6, 7.5)), emergency medicine (4.7 (3.8, 5.8)), and surgical subspecialties (4.2 (3.0, 5.8)). Social network analysis identified 2 small interconnected prescriber communities of high-volume pain management specialists, and 3 sparsely connected groups of predominantly low-volume primary care or emergency medicine clinicians. Using multivariate models, we found that the sparsely connected sociometric positions were a risk factor for high-risk exposures., Conclusion: Low-volume prescribers in the social network's periphery were at greater risk of intended or discoordinated prescribing than interconnected high-volume prescribers. Interventions addressing discoordination among low-volume opioid prescribers in non-integrated practices should be a priority. Demands for enhanced functionality and integration of Prescription Drug Monitoring Programs or referrals to specialized multidisciplinary pain management centers are potential policy implications.

Introduction: Concurrent prescribing of opioids and benzodiazepines is discouraged by evidence-based clinical guidelines because of the known risks of taking these medications in combination., Methods: This study analyzed concurrent opioid and benzodiazepine prescribing in 9 states using the 2015 Prescription Behavior Surveillance System, a multistate database of de-identified prescription drug monitoring program data. Concurrent prescribing rates were examined among individuals with both an opioid and a benzodiazepine prescription. Among patients with concurrent prescribing, total days of opioid supply, daily dosage of opioids, and total days of concurrent prescriptions were examined. Analyses were stratified by whether concurrent prescribing was from a single prescriber or multiple prescribers. Opioid prescribing and concurrent opioid and benzodiazepine prescribing rates were examined by age and sex. Analyses were conducted in 2018., Results: Among 19,977,642 patients that were prescribed an opioid, 21.6% (4,324,092) were also prescribed a benzodiazepine, of which 54.9% (2,375,219) had concurrent prescriptions. More than half of patients with concurrent opioids and benzodiazepines received prescriptions from 2 or more distinct prescribers. Mean total opioid days, daily opioid dosage, and days of concurrent prescribing were higher among patients when multiple prescribers were involved compared with concurrent prescriptions from the same prescriber. Concurrent prescribing was more common among adults aged ≥50 years and female patients., Conclusions: Public health interventions are needed to reduce concurrent prescribing of opioids and benzodiazepines. Evidence-based guidelines can help reduce concurrent prescribing when one prescriber is involved, and utilization of prescription drug monitoring programs and improved care coordination could help address concurrent prescribing when multiple prescribers are involved., (Published by Elsevier Inc.)

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., (© Health Research and Educational Trust.)

Objectives: To explore pharmacists' perspectives on practice, availability, and barriers related to opioids., Methods: This cross-sectional study evaluated pharmacists' perspectives on practice, availability, and barriers related to opioids. Electronic surveys were distributed to pharmacists practicing in Georgia via Survey Monkey. The χ 2 or Fisher Exact test was used to test differences in practice, availability, and barriers with respect to type of pharmacy and location of pharmacy., Results: Most participating pharmacists practiced in an independent (47%) or community chain pharmacies (37%). The majority checked the Prescription Drug-Monitoring Program (PDMP) on a regular basis (73%), and about a third reported contacting the prescriber prior to dispensing. The most common barrier included concerns about diversion (82%) and illicit use (90%). About two-thirds reported experiencing a shortage of opioids. Significant differences ( P < .05) were found between types of pharmacy in dispensing practices, availability, and barriers. No significant differences were found with respect to pharmacy location., Conclusion: Findings suggest that pharmacists are facing challenges in availability of opioids and are employing stewardship approaches to optimize dispensing practices. This research provides insight regarding broken links in the "pain relief chain" and identifies opportunities to improve the accessibility of opioids when medically indicated. Pharmacists can play an important role in addressing the opioid crisis as well as providing quality care to patients with cancer seeking pain relief.

We examined annual outpatient antibiotic dispensings within a health insurance plan covering ∼970,000 members per year during 2000-2016. The proportion of members with antibiotic dispensings decreased from 33.3% in 2000 to 25.9% in 2016. This trend was consistent in all stratifications of age, race/ethnicity, sex, and comorbidities.

The present study aimed to investigate the incidence of agranulocytosis and leukopenia and its associated factors in Thai schizophrenia patients treated with clozapine and the rate of hematologic adverse events monitored in clinical practice. Data were collected from the medical records of 641 outpatients at two hospitals. The results showed no cases of agranulocytosis and 20 cases of leukopenia (3.1%), 85% of which were observed after 1 year of prescription. The associated factors were female (p = 0.019) and duration of clozapine prescription (p = 0.026). According to the guideline for safety monitoring, 23.6% of cases had neutrophils count monitoring., (Copyright © 2019 Elsevier B.V. All rights reserved.)

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)., (© 2018 John Wiley & Sons, Ltd.)

All fifty states have implemented prescription drug monitoring programs (PDMPs) to reduce misuse and diversion of controlled drugs. Interstate PDMP data sharing has been called for by clinical practitioners, but evidence to support the effectiveness of PDMP data sharing is lacking. This study examined whether PDMP interstate data sharing with bordering states was associated with prescriptions of opioids. This was a cross-sectional study that included patients with non-cancer chronic pain from the 2014 National Ambulatory Medical Care Survey (weighted N = 66,198,751; unweighted N = 2846). Multinomial logistic regression was performed to examine the association between PDMP interstate data sharing status and patients' being prescribed opioids for pain treatment, controlling for covariates guided by the Eisenberg's model of physician decision-making. Findings indicated that patients residing in states with interstate PDMP data sharing with all or partial bordering states were not less likely to be prescribed opioids compared to those living in states without interstate data sharing. Other factors such as patient age, health insurance type, new patient status, and physician adoption of electronic medical records were associated with the likelihood of patients' being prescribed opioids. This study concluded that current practice of interstate PDMP data sharing with bordering states was not associated with patients' being prescribed opioids for non-cancer chronic pain treatment. Future studies and policy efforts that unravel technological, legal, and political barriers to reciprocal and equal interstate data sharing with bordering states should be warranted to inform PDMP redesign and in turn, augment overall PDMP effectiveness in reducing misuse of prescription opioids., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Despite the significant cost of prescription (Rx) drug abuse and calls from policymakers for effective interventions, there is limited research on the effects of policies intended to limit such abuse. This study estimates the effects of prescription drug monitoring (PDMP) programs, which constitute a key policy targeting access to non-medical use of Rx drugs. Based on objective indicators of abuse as measured by substance abuse treatment admissions and mortality related to Rx drugs, estimates do not suggest any substantial effects of instituting an operational PDMP. We find, however, that mandatory-access provisions, which raised PDMP utilization rates by actually requiring providers to query the PDMP prior to prescribing a controlled drug, are significantly associated with a reduction in Rx drug abuse. The effects are driven primarily by a reduction in opioid abuse, generally strongest among young adults (ages 18 to 24), and underscore important dynamics in the policy response. Robustness checks are consistent with a causal interpretation of these effects. We also assess potential spillovers of mandatory PDMPs on the use of other illicit drugs and find a complementary reduction in admissions related to cocaine and marijuana abuse.

Objective: Prescription Drug Monitoring Programs (PDMPs) are intended to help reduce prescription drug misuse and opioid overdose, yet little is known about the longitudinal patterns of opioid prescribing that may be associated with mortality. This study investigated longitudinal opioid prescribing patterns among patients with opioid use disorder (OUD) and without OUD in relation to mortality using PDMP data., Methods: Growth modeling was used to examine opioid prescription data from the California PDMP for a 4-year period before death or a comparable period ending in 2014 for those remaining from a sample of 7728 patients (2576 with OUD, and 5152 matched non-OUD controls) treated in a large healthcare system., Results: Compared to controls, individuals with OUD (alive and deceased) had received significantly more opioid prescriptions, greater number of days' supply, and steeper increases of opioid dosages over time. For morphine equivalents (ME, in grams), the interaction of OUD and mortality was significant at both intercept (β = 10.4, SE = 4.4, P < 0.05) and slope (β = 6.0, SE = 1.1, P < 0.001); deceased OUD patients demonstrated the sharpest increase (ie, an average yearly increment of 7.84 grams over alive patients without OUD) and ended with the highest level of opioids prescribed before they died (ie, 20.2 grams higher). Older age, public health insurance, cancer, and chronic pain were associated with higher number and dose of opioid prescriptions., Conclusions: Besides the amount of prescriptions, clinicians must be alert to patterns of opioid prescription such as escalating dosage as critical warning signals for heightened mortality risks, particularly among patients with OUD.

Objective: To examine the prevalence of concurrent Veterans Health Administration (VA) and non-VA prescriptions for opioids and sedative-hypnotic medications among post-9/11 veterans in Oregon., Data Sources: VA health care and prescription data were probabilistically linked with Oregon Prescription Drug Monitoring Program (PDMP) data., Study Design: This retrospective cohort study examined concurrent prescriptions among n = 19,959 post-9/11 veterans, by year (2014-2016) and by patient demographic and clinical characteristics. Veterans were included in the cohort for years in which they received VA outpatient care; those receiving hospice or palliative care were excluded. Concurrent prescriptions were defined as ≥1 days of overlap between outpatient prescriptions for opioids and/or sedative-hypnotics (categorized as benzodiazepines vs. non-benzodiazepines)., Principal Findings: Among 5,882 veterans who filled opioid or sedative-hypnotic prescriptions at VA pharmacies, 1,036 (17.6 percent) filled concurrent prescriptions from non-VA pharmacies. Within drug class, 15.1, 8.8, and 4.6 percent received concurrent VA and non-VA opioids, benzodiazepines, and non-benzodiazepines, respectively. Veteran demographics and clinical diagnoses were associated with the likelihood of concurrent prescriptions, as was enrollment in the Veterans Choice Program., Conclusions: A considerable proportion of post-9/11 veterans receiving VA care in Oregon filled concurrent prescriptions for opioids and sedative-hypnotics. Fragmentation of care may contribute to prescription drug overdose risk among veterans., (© Health Research and Educational Trust.)

Importance: Most states have adopted the routine use of a prescription drug monitoring program (PDMP) to curb overprescribing of opioids. The American College of Surgeons promotes the use of these programs as a "guiding principle to curb the opioid epidemic." However, there is a paucity of data on the effects of the use of these programs for surgical patient populations., Objective: To determine the association of the mandatory use of a PDMP with the opioid prescribing practices for patients undergoing general surgery., Design, Setting, and Participants: A prospective observational cohort study was conducted at an academic hospital in New Hampshire among 1057 patients undergoing representative elective general surgical procedures from July 1, 2016, to June 30, 2017., Exposures: New state legislation mandated the use of a PDMP and opioid risk-assessment tool for all patients receiving an outpatient opioid prescription in New Hampshire beginning January 1, 2017. The electronic medical prescribing system was modified to facilitate and support compliance with the new requirements., Main Outcomes and Measures: Change in opioid prescribing practices after January 1, 2017, and time to complete PDMP requirements., Results: Among the 1057 patients (569 women [53.8%] and 488 men [46.2%]; mean [SD] age, 56.8 [15.4] years), the percentage of patients prescribed opioids after surgery did not decrease significantly (429 of 536 [80.0%] before the new requirements vs 401 of 521 [77.0%] after the requirements; P = .29). The mean number of opioid pills prescribed decreased from 30.8 to 24.0 (22.1%) in the 6 months prior to the mandatory PDMP requirement; the rate of decrease was actually less (from 22.8 to 21.9 pills [3.9%]) in the 6 months after the legislation. These new requirements did not identify any high-risk patients who subsequently were not prescribed opioids. The query and opioid abuse risk calculator together took a median time of 7 minutes (range, 2-17 minutes) to complete., Conclusions and Relevance: A mandatory PDMP query requirement was not significantly associated with the overall rate of opioid prescribing or the mean number of pills prescribed for patients undergoing general surgical procedures. In no cases was a high-risk patient identified, leading to avoidance of an opioid prescription. A PDMP can be a useful adjunct in certain settings, but this study found that it did not have the intended effect in a population undergoing elective surgical procedures. Legislative efforts to mandate PDMP use should be targeted to populations in which benefit can be demonstrated.

Objectives: To estimate the effect of California's prescription drug monitoring program's (PDMP) registration mandate on use of the PDMP., Methods: We evaluated the effect of California's mandatory PDMP registration law by fitting time series models on the percentage of clinicians registered for California's PDMP and the percentage of clinicians who were active PDMP users (users who created ≥ 1 patient prescription reports in a given month) from 2010 through 2017. We also compared PDMP use among early PDMP adopters (clinicians who registered > 8 months before the mandatory registration deadline) versus late adopters (clinicians who registered ≤ 8 months before the deadline)., Results: Mandatory registration was associated with increases in active PDMP users: 53.5% increase for prescribers and 17.9% for pharmacists. Early adopters were 4 times more likely to be active PDMP users than were late adopters., Conclusions: Mandatory registration was associated with increases in PDMP registration and use, but most new registrants did not become active users. Public Health Implications. Mandatory PDMP registration increases PDMP use but does not result in widespread PDMP usage by all clinicians prescribing controlled substances.

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., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Introduction: Several models of differentiated care for stable HIV patients on antiretroviral therapy (ART) in Malawi have been introduced to ensure that care is efficient and patient-centered. Three models have been prioritized by the government for a deeper and broader understanding: adjusted appointment spacing through multi-month scripting (MMS); fast-track drug refills (FTRs) on alternating visits; and community ART groups (CAGs) where rotating group members collect medications at the facility for all members. This qualitative study aimed to understand the challenges and successes of implementing these models of care and of the process of patient differentiation., Methods: A qualitative study was conducted as a part of a broader process evaluation in 30 purposefully selected ART facilities between February and May 2016. Semi-structured, in-depth interviews with 32 health workers that managed and coordinated ART clinics and 30 focus groups were held with 216 ART patients. Interviews and focus groups were audio recorded, transcribed, and coded thematically., Results: Participants reported that the models of differentiated care have yielded key benefits, including: reduced patients' travel and visit time, decongestion of facilities, and enhanced social support. Participants suggested that these benefits could lead to improved HIV treatment outcomes for patients. At the same time, some challenges were reported, such as inconsistent stocks of drugs, which can inhibit implementation of MMS. For CAGs, the group-based nature of the model presented some unique problems, such as conflicts within groups or concerns about privacy. Health workers also described some of the reasons why eligible patients may not receive the models or conversely why ineligible patients sometimes get the models., Conclusions: Documenting patient and health worker perspectives on models of differentiated care is critical to understanding and improving these models. While these models can offer important benefits, the models may not be appropriate for all sites or patients, and patient status and needs may change over time. Key challenges should be recognized and addressed for optimal utilization of the models., Competing Interests: The authors have declared that no competing interests exist.

Introduction: The purpose of this study is to extend prior research on barriers to use of a prescription drug monitoring program by examining psychosocial correlates of intended use among physicians and pharmacists., Methods: Overall, 1,904 California physicians and pharmacists responded to a statewide survey (24.1% response rate) from August 2016 to January 2017. Participants completed an online survey examining attitudes toward prescription drug misuse and abuse, prescribing practices, prescription drug monitoring program design and ease of use, professional obligations, and normative beliefs regarding prescription drug monitoring program use. Data were analyzed in 2017., Results: Perceived prescription drug monitoring program usefulness and normative beliefs fully mediated the relationship between concern about prescription drug abuse and intentions to use the prescription drug monitoring program. Clinicians' sense of professional and moral obligation to use the prescription drug monitoring program was unrelated to intention to use the prescription drug monitoring program despite a positive relationship with concern about misuse and abuse. Compared with physicians, pharmacists reported greater concern about prescription drug misuse, greater professional and moral obligation to use prescription drug monitoring program, and greater rating of prescription drug monitoring program usefulness., Conclusions: Interventions that target normative beliefs surrounding prescription drug monitoring program use and how to use prescription drug monitoring programs effectively are likely to be more effective than those that target professional obligations or moralize to the medical community., (Published by Elsevier Inc.)

Objective: To measure the impact of prescription drug monitoring programs (PDMPs) on prescribing of opioid and nonopioid painkillers., Data Source: 2010-2013 physician-level Medicare Part D prescribing data released by the Centers for Medicare and Medicaid Services and Propublica., Study Design: Using difference-in-differences models with physician-level fixed effects, the study compares prescribing in states with and without PDMPs for opioid and nonopioid analgesics, oxycodone, hydrocodone, and opioids by controlled substances Schedules II-IV., Principal Findings: Prescription drug monitoring programs were associated with a 5.2 percent decrease in days supply prescribed per physician for oxycodone in addition to smaller reductions for hydrocodone and opioids overall (2.8 percent and 2 percent, respectively) and a small increase in prescribing for Schedule IV opioids. PDMPs were not associated with changes for nonopioid analgesics or other opioids in Schedules II and III. The effects of PDMPs were negated in states where statutes explicitly did not require use of the PDMP., Conclusions: Prescription drug monitoring programs have a modest effect targeted at the high-profile drug oxycodone among the Medicare Part D population and an even smaller effect for hydrocodone and opioids in general. The findings suggest some substitution toward lower schedule opioids. Substantially addressing the widespread opioid abuse problem will require enhancing existing PDMPs or implementing new policies., (© Health Research and Educational Trust.)

Purpose: We quantified the effects of Florida's prescription drug monitoring program and pill mill law on high-risk patients., Methods: We used QuintilesIMS LRx Lifelink data to identify patients receiving prescription opioids in Florida (intervention state, N: 1.13 million) and Georgia (control state, N: 0.54 million). The preintervention, intervention, and postintervention periods were July 2010 to June 2011, July 2011 to September 2011, and October 2011 to September 2012. We identified 3 types of high-risk patients: (1) concomitant users: patients with concomitant use of benzodiazepines and opioids; (2) chronic users: long-term, high-dose, opioid users; and (3) opioid shoppers: patients receiving opioids from multiple sources. We compared changes in opioid prescriptions between Florida and Georgia before and after policy implementation among high-risk/low-risk patients. Our monthly measures included (1) average morphine milligram equivalent per transaction, (2) total opioid volume across all prescriptions, (3) average days supplied per transaction, and (4) total number of opioid prescriptions dispensed., Results: Among opioid-receiving individuals in Florida, 6.62% were concomitant users, 1.96% were chronic users, and 0.46% were opioid shoppers. Following policy implementation, Florida's high-risk patients experienced relative reductions in morphine milligram equivalent (opioid shoppers: -1.08 mg/month, 95% confidence interval [CI] -1.62 to -0.54), total opioid volume (chronic users: -4.58 kg/month, CI -5.41 to -3.76), and number of dispensed opioid prescriptions (concomitant users: -640 prescriptions/month, CI -950 to -340). Low-risk patients generally did not experience statistically significantly relative reductions., Conclusions: Compared with Georgia, Florida's prescription drug monitoring program and pill mill law were associated with large relative reductions in prescription opioid utilization among high-risk patients., (Copyright © 2018 John Wiley & Sons, Ltd.)

Background: Prescription drug abuse has become a major issue in the United States in recent years. Prescription drug monitoring programs (PDMPs) are designed to help health care providers to prevent such abuses. There may be unintended effects of these programs. Specifically, PDMPs may move prescription opioid users to begin use of heroin., Objectives: This article aims to evaluate the impact of PDMPs on heroin abuse across several different states through use of treatment admissions records obtained from the Treatment Episode Data Set., Methods: Operational dates and other characteristics of state PDMPs were obtained from the Prescription Drug Monitoring Program Training and Technical Assistance Center. Data for the dependent variable were collected from the Treatment Episodes Data Set from 1992 to 2012. Interrupted time-series analyses using autoregressive integrated moving average modeling were used to estimate the effect of presence of an operational PDMP on the number of admissions reporting heroin as their primary drug being used., Results: The relationship between heroin admissions and prescription opioid admissions was significant for the average data (β = 0.41, p = 0.0017) and the 5-year data (β = 0.5, p = 0.036), both showing positive associations between heroin and prescription drug admissions in states in the post PDMP implementation period. Conclusions/Importance: The study found a positive relationship that between heroin and prescription opioid admissions post PDMP implementation. Future research should attempt to identify what this relationship means and how this information can be used to improve opioid policy.

The opioid epidemic is the most significant modern-day, public health crisis. Physicians and lawmakers have developed methods and practices to curb opioid use. This article describes one method, prescription drug monitoring programs (PDMP), through the lens of how to optimize use for emergency departments (ED). EDs have rapidly become a central location to combat opioid abuse and drug diversion. PDMPs can provide emergency physicians with comprehensive prescribing information to improve clinical decisions around opioids. However, PDMPs vary tremendously in their accessibility and usability in the ED, which limits their effectiveness at the point of care. Problems are complicated by varying state-to-state requirements for data availability and accessibility. Several potential solutions to improving the utility of PDMPs in EDs include integrating PDMPs with electronic health records, implementing unsolicited reporting and prescription context, improving PDMP accessibility, data analytics, and expanding the scope of PDMPs. These improvements may help improve clinical decision-making for emergency physicians through better data, data presentation, and accessibility., Competing Interests: Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. No author has professional or financial relationships with any companies that are relevant to this study. There are no conflicts of interest or sources of funding to declare.

The decision to authorize a patient for continued enrollment in a state-sanctioned medical cannabis program is difficult in part due to the uncertainty in the accuracy of patient symptom reporting and health functioning including any possible effects on other medication use. We conducted a pragmatic convenience study comparing patient reporting of previous and current prescription opioid usage to the opioid prescription records in the Prescription Monitoring Program (PMP) among 131 chronic pain patients (mean age = 54; 54% male) seeking the first annual renewal of their New Mexico Medical Cannabis Program (NMMCP) license. Seventy-six percent of the patients reported using prescription opioids prior to enrollment in the NMMCP, however, the PMP records showed that only 49% of the patients were actually prescribed opioids in the six months prior to enrollment. Of the 64 patients with verifiable opioid prescriptions prior to NMMCP enrollment, 35 (55%) patients reported having eliminated the use of prescription opioids by the time of license renewal. PMP records showed that 26 patients (63% of patients claiming to have eliminated the use of opioid prescriptions and 41% of all patients with verifiable preenrollment opioid use) showed no prescription opioid activity at their first annual NMMCP renewal visit.

Objective: State-level prescription drug monitoring programs (PDMPs) have been implemented in most states. PDMPs enable registered prescribers to obtain real-time information on patients' prescription history to reduce non-medical use of controlled drugs. This study examined whether PDMP implementation and different levels of PDMP requirements were associated with physicians' patterns of prescribing opioid analgesics for patients with non-cancer chronic pain., Methods: This is a secondary analysis study using cross-sectional national data. Patients with non-cancer chronic pain from the 2012 National Ambulatory Medical Care Survey were included (weighted N=81,018,131; unweighted N=3295). Heckman two-step selection procedure employing two logistic regressions was used to explore the associations between PDMP requirements and physicians' prescribing behaviors, controlling for physician characteristics, patient characteristics, physician-healthcare system interaction, and physician-patient relationship, guided by the Eisenberg's model of physician decision making., Results: State PDMP implementation status and requirement levels were not associated with physician opioid prescribing for non-cancer chronic pain treatment (p's ranged 0.30-0.32). Patients with Medicare coverage were more likely to be prescribed opioid analgesics than those with private health insurance (OR=1.55, p<0.01). Hispanic patients were less likely to be prescribed opioid analgesics than non-Hispanic white patients (OR=0.61, p<0.05)., Conclusions: Findings indicated that the effectiveness of PDMPs on physicians' opioid prescribing tendency for non-cancer chronic pain treatment could not be supported. Policy makers should be aware of the need for redesigning PDMPs regarding requirements and enforcement for prescribers and related stakeholders. Future studies also are needed to identify characteristics contributing to PDMP effectiveness in reducing non-medical use of prescription opioids., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Background and Purpose: Prescription drug monitoring programs (PDMPs) have begun to demonstrate themselves as useful tools in enhancing safe and responsible prescription of controlled substances. The purpose of this project was to describe current practice, beliefs, and barriers of Alaska nurse practitioners (NPs) regarding the Alaska PDMP., Methods: A questionnaire was sent to 635 Alaskan NPs with a 33% return rate. The data depicted prescribing habits, barriers to use, barriers to registering, and opinions on how to make the PDMP more clinically useful., Conclusions: More attention is needed to maximize PDMP exposure and incorporation into daily workflow if it is to achieve full potential. Registered users should be able to delegate PDMP authority to select staff members to reduce time commitments and increase usage. Many providers felt that assigning unique patient identifiers could prevent consumers from filling prescriptions under aliases. Finally, an overwhelming majority of users wanted faster data entry and proactive reports., Implications for Practice: This project explored the differences between PDMP users and nonusers and outlined NP suggestions for process improvement. A better understanding of PDMP use will aid providers in safe prescribing while curbing the prescription drug epidemic and ultimately reducing abuse, misuse, and death from overdose.

Background: DATA 2000 enabled physicians with approved training to be waivered to prescribe buprenorphine for the treatment of opioid use disorders (OUD) for a limited number of patients. A rule change in 2016 increased the patient limit for certain buprenorphine waivered physicians from 100 to 275. This study examines the prescribing patterns of buprenorphine prescribers by waiver limit status (30- or 100-patient limit)., Methods: Prescription Monitoring Program (PMP) data from Ohio, California, and Maine were used to identify prescriptions for buprenorphine for OUD from January 2010 to April 2015. Analysis of prescribing patterns by prescriber waiver status included monthly patient censuses and treatment episode duration by state, year, and the frequency with which prescribers were near their respective patient limits., Results: In the three states, 8638 physicians initiated 468,148 buprenorphine episodes. The adjusted mean monthly patient census was 42.9 for 100-patient waivered prescribers, 13.6 patients for 30-patient waivered prescribers, and 7.6 patients for prescribers unassociated with a waiver. Half (48.5%) of episodes were associated with 100-patient waivered prescribers, 26.9% with 30-patient waivered prescribers, and 24.4% with non-waivered prescribers. 30-patient waivered physicians were more likely to have no buprenorphine treatment episodes in a given month than 100-patient waivered prescribers., Conclusions: Most buprenorphine prescribers practice well under their current patient limit and have numerous months with no patient episodes. For the few high prescribers, increasing the maximum patient limit beyond 100 has the potential to improve access but alone may not have widespread impact unless integrated into complementary approaches toward increasing prescriber capacity., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Introduction: Prescription opioid use is becoming increasingly common; consequently, opioid overdose deaths are increasing at an alarming rate. Hydrocodone, one of the most commonly abused opioids, was changed from a schedule III controlled substance to the more stringent schedule II to decrease abuse and diversion, effective Oct. 6, 2014. The objective of this study was to examine the impact of the hydrocodone schedule change on opioid prescribing in South Dakota., Methods: Opioid prescription patterns were examined in the following six-month phases: the baseline phase before the change, the transition phase when existing hydrocodone prescriptions could still be refilled, and the final phase. The South Dakota Board of Pharmacy Prescription Drug Monitoring Program provided aggregate monthly data for South Dakota opioid prescriptions (i.e., total number of prescriptions and days supplied), including urban and rural stratification. T-tests were performed on the monthly values for each phase to determine the significance of differences in prescription features between phases., Results: The number of hydrocodone prescriptions significantly decreased 14 percent from baseline to final phase, while the days supplied per prescription significantly increased 7.4 percent. These changes were greater in rural areas than in urban areas. Conversely, the number of other opioid prescriptions significantly increased by 6.5 percent over this timeframe., Conclusions: The number of hydrocodone prescriptions decreased, while the days supplied per prescription increased. These changes were greater in rural areas than in urban areas. In addition, the number of other opioid prescriptions increased. These trends may reflect some unintended effects of the schedule change.

Background and Aims: In the United States, overdose deaths attributed to opioid pain relievers (OPR) have quadrupled since 1999, prompting many states to adopt Prescription Drug Monitoring Programs (PMP). This study aimed to: (1) estimate the relationship of PMP strength with OPR overdose deaths across states and over time; (2) measure what threshold in PMP strength is associated with the greatest reduction in OPR overdose; and (3) assess the relationship of medical marijuana dispensaries with OPR overdose deaths., Design: Panel data from the Centers for Disease Control and Prevention's (CDC's) Wide-ranging Online Data for Epidemiologic Research database (WONDER) were analyzed using fixed effects to regress state-year death rates on an index variable compiled from the Prescription Drug Abuse Policy System (PDAPS) while controlling for PMP administration, demographic factors and laws that might affect OPR overdose., Setting and Participants: Age-adjusted opioid overdose death rates for all 50 states and the District of Columbia between 1999 and 2014 for a total of 816 observations., Measurements: PMP strength was calculated using legal data compiled by the Prescription Drug Abuse Policy System (PDAPS). In addition to demographic controls, other covariates included laws that regulate pain clinics, access to naloxone, use of emergency services (Good Samaritan Laws) and medical marijuana., Findings: PMP strength was associated negatively with OPR overdose deaths. Every 1-point increase in PMP strength was associated with a 1% [95% confidence interval (CI) = 0.2-2%] reduction in overdose deaths. When collapsed into quartiles, PMPs in the third quartile were associated with an approximately 18% (95% CI = 1.6-29%) reduction in OPR overdose death rates compared with states without a PMP. States with medical marijuana dispensaries reported a 16% (95% CI = 1-30%) reduction in OPR overdoses., Conclusions: US states that have more robust prescription drug monitoring programs have fewer prescription opioid overdose deaths than states with weaker PMPs. States with medical marijuana dispensaries also report fewer opioid overdose deaths than states without these., (© 2016 Society for the Study of Addiction.)

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., (© 2017 Society for the Study of Addiction.)

Objective: Effective use of state prescription drug monitoring programs (PDMPs) to track controlled substance prescribing and dispensing may help mitigate the current opioid crisis. Our objective was to examine trends in registration for and use of Florida's PDMP by physicians and pharmacists, from 2013 to 2016. We discuss implications for PDMP uptake and policy., Design: Key measures, such as cumulative number of registrants per license type and monthly utilization intensity, are presented. A time series forecasting approach was used to (1) model the monthly count of new PDMP registrants and users from January 2013 to December 2016 and (2) estimate cumulative registration totals after 1 year., Setting: Florida., Results: As of November 2016, there were 16,498 physicians (representing 31 percent of Drug Enforcement Administration licensees) and 17,241 pharmacists registered with the PDMP, representing 21 and 57 percent of professional licensees, respectively. Of note, the PDMP's designation as a "specialized registry" for electronic medical record "meaningful use" criteria led to a nearly sevenfold increase in physician registrations in a single month. In November 2016, pharmacists displayed a higher past-month PDMP utilization rate (52.2 percent vs 30.1 percent), while physicians displayed a higher past-month PDMP utilization intensity (58.1 vs. 36.1 queries per user). Approximately 25,000 physicians and 31,000 pharmacists must register by the end of 2017 to meet national policy goals., Conclusion: PDMP registration among physicians and pharmacists is limited, and the use of the PDMP among registrants is more limited still. Our findings suggest that Florida will not meet national policy goals for registrants by the end of 2017, although new initiatives may alter this trend. Allowing the PDMP to help prescribers meet other professional needs, such as "meaningful use" or similar efforts, may be effective in increasing PDMP use.