Assessing The Impact Of State Policies For Prescription Drug Monitoring Programs On High-Risk Opioid Prescriptions

State-level factors associated with implementation of prescription drug monitoring program integration and mandatory use policies, United States, 2009-2020

BACKGROUND

Prescription drug monitoring programs (PDMPs) have been widely adopted as a tool to address the prescription opioid epidemic in the United States. PDMP integration and mandatory use policies are 2 approaches states have implemented to increase use of PDMPs by prescribers. While the effectiveness of these approaches is mixed, it is unclear what factors motivated states to implement them. This study examines whether opioid dispensing, adverse health outcomes, or other non-health-related factors motivated implementation of these PDMP approaches.

METHODS

Time-to-event analysis was performed using lagged state-year covariates to reflect values from the year prior. Extended Cox regression estimated the association of states' rates of opioid dispensing, prescription opioid overdose deaths, and neonatal opioid withdrawal syndrome with implementation of PDMP integration and mandatory use policies from 2009 to 2020, controlling for demographic and economic factors, state government and political factors, and prior opioid policies.

RESULTS

In our main model, prior opioid dispensing (HR 2.31, 95% CI 1.17, 4.57), neonatal opioid withdrawal syndrome hospitalizations (HR 1.55, 95% CI 1.09, 2.19), and number of prior opioid policies (HR 2.13, 95% CI 1.13, 4.00) were associated with mandatory use policies. Prior prescription opioid overdose deaths (HR 1.21, 95% CI 1.08, 1.35) were also associated with mandatory use policies in a model that did not include opioid dispensing or neonatal opioid withdrawal syndrome. No study variables were associated with implementation of PDMP integration.

CONCLUSION

Understanding state-level factors associated with implementing PDMP approaches can provide insights into factors that motivate the adoption of future public health interventions.

Cannabis Laws and Utilization of Medications for the Treatment of Mental Health Disorders

Importance

Mental health disorders are prevalent yet undertreated health conditions in the US. Given perceptions about the potential effect of cannabis on individuals with mental health disorders, there is a need to understand the association of cannabis laws with psychotropic use.

Objective

To investigate the association of medical and recreational cannabis laws and dispensary openings with the dispensing of psychotropic medications used to treat mental health disorders in the US.

Design, Setting, and Participants

This cross-sectional study of 10 013 948 commercially insured patients used a synthetic control method to examine the association of cannabis policies with prescribing. Data on all patients dispensed prescriptions for each of the 5 classes of psychotropic medications from January 1, 2007, to December 31, 2020, were extracted from Optum's deidentified Clinformatics Data Mart Database. Statistical analysis was performed from September 2022 to November 2023.

Exposures

The 4 exposure variables measured were whether medical or recreational cannabis laws were in effect and whether medical or recreational cannabis dispensaries were open in each state and calendar quarter.

Main Outcome and Measures

One measure of the extensive margins of dispensing and 2 measures of the intensive margins of dispensing were constructed for 5 medication classes (benzodiazepines, antidepressants, antipsychotics, barbiturates, and sleep medications).

Results

The primary sample (the benzodiazepine sample) included 3 848 721 patients (mean [SD] age, 46.1 [11.4] years; 65.4% women; 53.7% aged 35-54 years). Medical cannabis laws were associated with a 12.4% reduction in the benzodiazepine fill rate (average treatment effect on the treated [ATT], -27.4; 95% CI, -14.7 to 12.0; P = .001), recreational cannabis laws were associated with a 15.2% reduction in the fill rate (ATT, -32.5; 95% CI, -24.4 to 20.1; P = .02), and medical cannabis laws were associated with a 1.3% reduction in the mean number of benzodiazepine fills per patient (ATT, -0.02; 95% CI, -0.02 to 0.02; P = .04). Medical dispensaries were associated with a 3.9% reduction in mean days' supply per benzodiazepine fill (ATT, -1.7; 95% CI, -0.8 to 0.6; P = .001), while recreational dispensaries were associated with a 6.2% reduction (ATT, -2.4; 95% CI, -1.0 to 0.9; P < .001). Medical cannabis laws were associated with a 3.8% increase in antidepressant fills (ATT, 27.2; 95% CI, -33.5 to 26.9; P = .048), and medical dispensaries were associated with an 8.8% increase (ATT, 50.7; 95% CI, -32.3 to 28.4; P = .004). The mean number of antipsychotic medication fills per patient increased by 2.5% (ATT, 0.06; 95% CI, -0.04 to 0.05; P = .02) after medical cannabis laws and by 2.5% (ATT, 0.06; 95% CI, -0.04 to 0.04; P = .02) after medical dispensary openings. Findings for the other drug classes showed substantial heterogeneity by state and direction of association.

Conclusions and Relevance

This cross-sectional study of commercially insured patients suggests that there may have been meaningful heterogeneous associations between cannabis policy and state and between cannabis policy and drug class (eg, decreases in dispensing of benzodiazepines but increases in dispensing of antidepressants and antipsychotics). This finding suggests additional clinical research is needed to understand the association between cannabis use and mental health. The results have implications for patient substance use and mental health-related outcomes.

Estimation of the prevalence of opioid misuse in New York State counties, 2007-2018: a bayesian spatiotemporal abundance model approach

An important challenge to addressing the opioid overdose crisis is the lack of information on the size of the population of people who misuse opioids (PWMO) in local areas. This estimate is needed for better resource allocation, estimation of treatment and overdose outcome rates using appropriate denominators (ie, the population at risk), and proper evaluation of intervention effects. In this study, we used a bayesian hierarchical spatiotemporal integrated abundance model that integrates multiple types of county-level surveillance outcome data, state-level information on opioid misuse, and covariates to estimate the latent (hidden) numbers of PWMO and latent prevalence of opioid misuse across New York State counties (2007-2018). The model assumes that each opioid-related outcome reflects a partial count of the number of PWMO, and it leverages these multiple sources of data to circumvent limitations of parameter estimation associated with other types of abundance models. Model estimates showed a reduction in the prevalence of PWMO during the study period, with important spatial and temporal variability. The model also provided county-level estimates of rates of treatment and opioid overdose using the numbers of PWMO as denominators. This modeling approach can identify the sizes of hidden populations to guide public health efforts in confronting the opioid overdose crisis across local areas. This article is part of a Special Collection on Mental Health.

Dangerous Variation or Patient-Centered Care? Palliative Care and Pain Providers' Comfort, Experiences, and Approaches when Treating Cancer Pain With Coexisting Aberrant Behaviors

BACKGROUND

Patients with cancer-related pain are at high risk for aberrant drug use behaviors (ADB), including self-escalation, diversion and concurrent illicit substance or opioid misuse; however, limited evidence is available to guide opioid prescribing for patients with life-limiting illness and concurrent or suspected ADB. We sought to characterize how specialists evaluate for and manage these high-risk behaviors in patients with cancer-related pain.

METHODS

We conducted telephonic semi-structured interviews with palliative care and pain medicine providers. Participants discussed their own comfort and experience level with identifying and managing ADB in patients with life-limiting illness. They were subsequently presented with a series of standardized scenarios and asked to describe their concerns and management strategies.

RESULTS

95 interdisciplinary pain and palliative care specialists were contacted; 37 agreed to participate (38.9%). Analysis of interview contents revealed several central themes: (1) widespread discomfort and anxiety regarding safe and compassionate opioid prescribing for high-risk patients, (2) belief that widely used risk-mitigation tools such as opioid contracts and urine drug screens provided inadequate support for decision-making, and (3) lack of institutional and organizational support and guidance for safe prescribing strategies. Most clinicians reported self-education regarding addiction and alternative prescribing/pain management strategies. Providers varied widely in their willingness to discontinue opioid prescribing in a patient with aberrant behavior and pain associated with life-limiting illness.

CONCLUSION

Providers caring for patients demonstrating ADB and cancer-related pain struggle to balance safe prescribing with symptom management. Increased guidance is needed regarding opioid prescribing, monitoring, and discontinuation in high-risk patients.

Effect of integration of prescription drug monitoring program data in the electronic health record on queries by primary care providers

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.

Prevalence of opioid use in adults with spinal cord injury: A systematic review and meta-analysis

OBJECTIVE

To determine the prevalence, reported harms and factors associated with opioid use among adults with spinal cord injury (SCI) living in the community.

STUDY DESIGN

Systematic review and meta-analysis.

METHODS

Comprehensive literature searches were conducted in PubMed (MEDLINE), EMBASE, CINAHL, Web of Science and Scopus for articles published between 2000 and 2023. Risk of bias was assessed using a prevalence-specific tool. Random-effects meta-analyses were conducted to pool prevalence data for any context of opioids. Sensitivity and subgroup analyses were also performed. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed, and the study protocol was registered via Prospero (CRD42022350768).

RESULTS

Of the 4969 potential studies, 38 were included in the review. Fifty-three percent of studies had a low risk of bias, with a high risk of bias in 5% of studies. The pooled prevalence for the 38 studies included in the meta-analysis (total cohort size of 50,473) across any opioid context was 39% (95% confidence interval [CI], 32-47). High heterogeneity was evident, with a prediction interval twice as wide as the 95% CI (prediction interval, 7-84%). Mean or median opioid dose was unreported in 95% of studies. Opioid dose and factors related to opioids were also rarely explored in the SCI populations.

CONCLUSIONS

Results should be interpreted with caution based on the high heterogeneity and imprecise pooled prevalence of opioids. Contextual details including pain, cohort-specific injury characteristics and opioid dosage were inconsistently reported, indicating a clear need for additional studies in a population at greater risk of experiencing opioid-related adverse effects.

The Drivers of Persistent Opioid Use and Its Impact on Healthcare Utilization After Elective Spine Surgery

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

The aim of this study was to determine the incidence of and risk factors for persistent opioid use after elective cervical and lumbar spine procedures and to quantify postoperative healthcare utilization in this patient population.

METHODS

Patients were retrospectively identified who underwent elective spine surgery for either cervical or lumbar degenerative pathology between November 1, 2013, and September 30, 2018, at a single academic center. Patients were split into 2 cohorts, including patients with and without opioid use at 180-days postoperatively. Baseline patient demographics, underlying comorbidities, surgical variables, and preoperative/postoperative opioid use were assessed. Health resource utilization metrics within 1 year postoperatively (ie, imaging studies, emergency and urgent care visits, hospital readmissions, opioid prescriptions, etc.) were compared between these 2 groups.

RESULTS

583 patients met inclusion criteria, of which 16.6% had opioid persistence after surgery. Opioid persistence was associated with ASA score ≥3 (P = .004), diabetes (P = .019), class I obesity (P = .012), and an opioid prescription in the 60 days prior to surgery (P = .006). Independent risk factors for opioid persistence assessed via multivariate regression included multi-level lumbar fusion (RR = 2.957), cervical central stenosis (RR = 2.761), and pre-operative opioid use (RR = 2.668). Opioid persistence was associated with higher rates of health care utilization, including more radiographs (P < .001), computed tomography (CT) scans (.007), magnetic resonance imaging (MRI) studies (P = .014), emergency department (ED) visits (.009), pain medicine referrals (P < .001), and spinal injections (P = .003).

CONCLUSIONS

Opioid persistence is associated with higher rates of health care utilization within 1 year after elective spine surgery.

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

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

Trajectories of opioid prescribing by general dentists, specialists, and oral and maxillofacial surgeons in the United States, 2015-2019

BACKGROUND

Despite decreases in opioid prescribing from 2016 through 2019, some dentists (general, specialists, oral and maxillofacial surgeons) in the United States continue to prescribe opioids at high rates. The authors' objective was to define dentists' trajectories of opioid prescribing.

METHODS

The authors identified actively prescribing dentists from the IQVIA Longitudinal Prescription data set, from 2015 through 2019. Group-based trajectory modeling identified opioid prescribing trajectories on the basis of dentists' annual prescribing rates for the overall sample (model 1) and for high prescribers (model 2). The authors used χ2 or Mann-Whitney U tests to characterize the model 2 trajectory groups.

RESULTS

In model 1 (n = 199,145 prescribers), group-based trajectory modeling identified 8 trajectories that were grouped into 5 categories. A total of 14.8% were nonprescribers who composed less than 1% of all prescriptions, low prescribers (3 groups; 46.0%) prescribed at low rates (2015: 5.5%-16.9%; 2019: 1.5%-11.9%), decliners (7.3%) decreased prescribing rapidly (2015: 29.4%; 2019: 5.1%), moderately high prescribers (2 groups; 28.5%) prescribed moderately (2015: 28.7% and 39.2%; 2019: 18.1% and 28.8%), and consistently high prescribers (3.4%) prescribed at high rates (2015: 54.6%; 2019: 44.7%). In model 2, from consistently high prescribers (n = 6,845), 4 trajectories were identified. Of these 4 groups, 1 group (7.5%) declined prescribing rapidly. The groups did not differ meaningfully; however, the rapid decliners included fewer oral and maxillofacial surgeons (13.0% vs 18.4%), saw more Medicaid patients (2.5% vs 1.0%), and had higher opioid prescribing rates in 2015 (95.5% vs 91.6%) (P < .001 for all).

CONCLUSIONS

The authors identified variations in dentists' opioid prescribing rates. Although 60% of dentists decreased prescribing rates by 30% through 83%, 3.4% of dentists consistently prescribed at high rates.

PRACTICAL IMPLICATIONS

Some dentists continue to prescribe opioids at high levels, indicating that additional information is needed to better inform policy and clinical decision making.

Urine drug testing in the context of opioid analgesic prescribing for chronic pain: a content analysis of U.S. state laws in 2022

BACKGROUND

In response to the opioid crisis, U.S. states have passed laws requiring urine drug testing (UDT) when opioid analgesics are prescribed for chronic pain. We sought to identify state law UDT requirements.

METHODS

We searched NexisUni legal database using terms related to UDT, chronic pain, and opioids. We included laws effective during spring 2022 that required UDT when opioids were prescribed for chronic pain. We performed deductive content analysis, coding laws for mandated UDT frequency, type of clinician and type of payer to whom the law applied, and circumstances under which UDT was mandated.

RESULTS

We found 32 laws across 13 states that met our inclusion criteria. UDT requirements varied substantially by state, including with regard to the type of clinician to whom the law applied, the mandated frequency of UDT (eg, at initiation/assessment, at least annually, more than once per year), and the circumstances in which UDT was mandated (eg, patient had substance use disorder; dosage/day threshold).

DISCUSSION

Relatively few states have UDT mandates associated with prescribing opioids as chronic pain treatment. When developing policy indicators for empirical studies, researchers evaluating how UDT policy affects health outcomes must consider the complexity and lack of uniformity of UDT requirements. In addition, even if states mandate UDT, it is unclear whether clinicians understand the best way to use the test results.

Tracking changes in opioid prescriptions dispensed following the enactment of a prescription drug monitoring program use mandate

BACKGROUND

Prescription drug monitoring programs (PDMPs) are state-based surveillance tools used to track controlled substances dispensed to patients and identify patients at-risk of misuse. Starting April 2017, Wisconsin required all prescribers access PDMP to review patient information before issuing a controlled substance prescription order for more than a 3-day supply. A primary goal of PDMP use mandates is to reduce avoidable prescribing and mitigate opioid related mortality and morbidity. Current literature has not evaluated the existence of a time point post-policy implementation, at which the trend in opioid dispensing changes, reflecting normalization/maintenance of opioid prescribing.

OBJECTIVE

We sought to evaluate the impact of the PDMP use mandate on trends in opioid prescriptions dispensed and test a hypothesis that a change or inflection in opioid prescriptions dispensed occurred post-mandate implementation.

METHODS

Interrupted Time Series Analysis (ITSA) design was used to examine whether the level (immediate impact) and trend in opioid prescribing changed significantly after the PDMP use mandate was implemented. We used a novel Change Point Analysis (CPA) approach to test the hypothesis i.e., identify if and when a change or inflection in opioid dispensing trend occurred after implementation of the PDMP use mandate.

RESULTS

ITSA model results showed a significant drop in opioid prescriptions dispensed (p < 0.05) immediately after the mandate implementation (i.e., April 2017). Results of the CPA identified a significant inflection in opioid prescriptions dispensed starting January 2019 (21-months post-policy implementation). An ITSA model using the inflection point as an interruption showed that the trend in opioid prescriptions dispensed became flatter after the inflection point, suggesting normalization.

CONCLUSION

Using a novel CPA approach, the findings showed an inflection in the trend in opioid prescriptions dispensed post-PDMP use mandate implementation, implying that most of the avoidable prescribing likely was curtailed. The results suggest that the patient information presumably accessed from the WI PDMP interface was useful in helping prescribers to make an informed clinical decision about opioid prescribing.

Leveraging the Full Continuum of Care to Prevent Opioid Use Disorder

Substance use disorder prevention programs are most effective when matched appropriately to the baseline risk of the population. Individuals who misuse opioids often have unique risk profiles different from those who use other substances such as alcohol or cannabis. However, most substance use prevention programs are geared toward universal audiences, neglecting key inflection points along the continuum of care. The HEAL Prevention Cooperative (HPC) is a unique cohort of research projects that represents a continuum of care, from community-level universal prevention to indicated prevention among older adolescents and young adults who are currently misusing opioids or other substances. This paper describes the theoretical basis for addressing opioid misuse and opioid use disorder across the prevention continuum, using examples from research projects in the HPC.

Competitive effects of federal and state opioid restrictions: Evidence from the controlled substance laws

A significant concern in the policy landscape of the U.S. opioid crisis is whether supply-side controls can reduce opioid prescribing without harmful substitution. We consider an unstudied policy: the federal Controlled Substance Act (CSA) restrictions placed in August 2014 on tramadol, the second most popular opioid medication. This was followed seven weeks later by CSA restrictions for hydrocodone combination products, the leading opioids on the market. Using regression discontinuity design (RDD) models, based on the timing of the (up-)scheduling changes, to explore spillover effects, we find that tightening prescribing restrictions on one opioid reduces its use, but increases prescribing of close competitors, leading to no reduction in total opioid prescriptions.This suggests that supply restrictions are not effective in reducing opioid prescribing the presence of close substitutes that remain unrestricted.

Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study

The misuse and abuse of opioids has become a serious public health threat in the United States. The state of California has been hit particularly hard by the opioid epidemic, with a noticeable increase in opioid-related fatalities and hospitalizations. This brief report paper aims to contribute to the growing literature by conducting a geospatial analysis of opioid dispensing patterns in California in 2021. The primary objective was to identify areas characterized by high-risk opioid dispending patterns and explore possible contributing factors. This retrospective study analyzed data from over 7 million records of opioid and benzodiazepine prescriptions dispensed by outpatient pharmacies in California in 2021. A series of generalized linear regression models was employed to assess the impact of neighborhood characteristics on opioid recipients and high-risk opioid dispensing. The study defined high-risk opioid dispensing behavior as: (1) multiple provider episodes, (2) overlapping opioid prescriptions for seven or more days, (3) overlapping opioid and benzodiazepine prescriptions for seven or more days, and (4) a high standardized dosage of opioid prescriptions per month. The study identified variables associated with high-risk opioid dispensing behaviors, including age, population density, income, and housing-related variables, as well as marital status and family-related variables. The study uncovered that there are noticeable disparities in opioid dispensing among different racial and ethnic groups within California. The findings indicated a correlation of high-risk dispensing indicators with certain demographic and socioeconomic factors. There was a substantial regional variation in opioid dispensing practices, with certain rural areas having higher rates of opioid prescriptions than urban areas.

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

BACKGROUND

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

OBJECTIVE

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

DESIGN

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

PARTICIPANTS

1398 office-based physicians who prescribe controlled substances.

MAIN MEASURES

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

KEY RESULTS

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

CONCLUSIONS

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

A population-based study on the risk of prescription opioid abuse in patients with chronic opioid use and cost-effectiveness of prescription drug monitoring program using a patient simulation model in South Korea

BACKGROUND

Concerns regarding the burden of inappropriate opioid use are growing. We examined the association between prescription opioid abuse and patient characteristics and estimated the cost-effectiveness of the prescription drug monitoring program (PDMP) implemented in South Korea, considering patient-level information.

METHODS

A retrospective cohort study was conducted to explore the association between opioid abuse and patient characteristics using the National Health Insurance Service-National Sample Cohort (NHIS-NSC) database. We selected non-cancer patients with chronic opioid use and investigated the incidence of opioid abuse between 2010 and 2015. The association between opioid abuse and patient characteristics was assessed using the Cox proportional hazards model. The cost-effectiveness of the PDMP was assessed using discrete event simulation (DES) with a time horizon of 30 years from a societal perspective. Time-to-event data and event costs were obtained from the NHIS-NSC database. The abuse rate was adjusted for each patient based on the baseline characteristics and history of abuse experienced in the model. Program effectiveness, program costs, and health-state utilities were obtained from the published literature. The incremental cost-utility ratio (ICUR) was estimated at a discount rate of 5% for both costs and quality-adjusted life-years (QALYs).

RESULTS

We identified 22,524 patients with chronic opioid use in the NHIS-NSC database. Every one-year increase in age (hazard ratio: 1.002 [95% CI: 1.000-1.003]), medical aid program (1.130 [95% CI: 1.072-1.191]), high Charlson Comorbidity Index (1.054 [95% CI: 1.044-1.065]), and history of opioid abuse (1.501 [95% CI: 1.391-1.620] and 3.005 [95% CI: 2.387-3.783] for 1-2 and ≥3 abuse events, respectively) significantly increased the risk of opioid abuse. In the DES, the PDMP was cost-effective, with an estimated ICUR of $2,227/QALY, which was most affected by the program's effectiveness.

CONCLUSION

Patient characteristics and history of opioid abuse affected the risk of opioid abuse. Considering patient-level information, the PDMP implemented in South Korea is likely to be cost-effective.

Mandatory prescription drug monitoring programs and overlapping prescriptions of opioids and benzodiazepines: Evidence from Kentucky

BACKGROUND

In response to the opioid epidemic, many states implemented mandates requiring providers to check prescription drug monitoring programs (PDMPs) before prescribing opioids. We examine how overlapping benzodiazepine and opioid prescriptions changed after Kentucky implemented a PDMP mandate in July 2012.

METHODS

We conducted an interrupted time series analysis using monthly data from Kentucky's PDMP from 2010 to 2016. Separate analyses were conducted for overlapping prescriptions from a single provider or multiple providers, and by sex and age group. We also conducted an individual-level longitudinal analysis that compared changes in utilization patterns after the mandate went into effect to changes in earlier periods during which the mandate was not in effect.

RESULTS

Kentucky's PDMP mandate was associated with an immediate 7.5 % decline in the rate of overlapping benzodiazepine and opioid prescriptions and a significant change in the trend from increasing to decreasing. Approximately half of the immediate effect in level terms was explained by decreases in overlapping prescriptions written by a single provider. Our longitudinal analysis suggests that over one year the mandate reduced initiation of overlapping prescriptions by 29.3 % and reduced continuation of overlapping prescriptions by 9.4 %. The effects of the policy were largest for women and men aged 36-50.

CONCLUSIONS

Though not the main rationale for the policy, Kentucky's PDMP mandate reduced overlapping prescriptions of benzodiazepines and opioids. Further efforts to reduce overlapping prescriptions should consider the effects on populations such as women over 50, who have high rates of overlapping prescriptions.

Medical Marijuana Legalization and Opioid- and Pain-Related Outcomes Among Patients Newly Diagnosed With Cancer Receiving Anticancer Treatment

Importance

The past decade saw rapid declines in opioids dispensed to patients with active cancer, with a concurrent increase in marijuana use among cancer survivors possibly associated with state medical marijuana legalization.

Objective

To assess the associations between medical marijuana legalization and opioid-related and pain-related outcomes for adult patients receiving cancer treatment.

Design, Setting, and Participants

This cross-sectional study used 2012 to 2017 national commercial claims data and a difference-in-differences design to estimate the associations of interest for patients residing in 34 states without medical marijuana legalization by January 1, 2012. Secondary analysis differentiated between medical marijuana legalization with and without legal allowances for retail dispensaries. Data analysis was conducted between December 2021 and August 2022. Study samples included privately insured patients aged 18 to 64 years who received anticancer treatment during the 6 months after a new breast (in women), colorectal, or lung cancer diagnosis.

Exposures

State medical marijuana legalization that took effect between 2012 and 2017.

Main Outcomes and Measures

Having 1 or more days of opioids, 1 or more days of long-acting opioids, total morphine milligram equivalents of any opioid dispensed to patients with 1 or more opioid days, and 1 or more pain-related emergency department visits or hospitalizations (hereafter, hospital events) during the 6 months after a new cancer diagnosis. Interaction terms were included between each policy indicator and an indicator of recent opioids, defined as having 1 or more opioid prescriptions during the 12 months before the new cancer diagnosis. Logistic models were estimated for dichotomous outcomes, and generalized linear models were estimated for morphine milligram equivalents.

Results

The analysis included 38 189 patients newly diagnosed with breast cancer (38 189 women [100%]), 12 816 with colorectal cancer (7100 men [55.4%]), and 7190 with lung cancer (3674 women [51.1%]). Medical marijuana legalization was associated with a reduction in the rate of 1 or more opioid days from 90.1% to 84.4% (difference, 5.6 [95% CI, 2.2-9.0] percentage points; P = .001) among patients with breast cancer with recent opioids, from 89.4% to 84.4% (difference, 4.9 [95% CI, 0.5-9.4] percentage points; P = .03) among patients with colorectal cancer with recent opioids, and from 33.8% to 27.2% (difference, 6.5 [95% CI, 1.2-11.9] percentage points; P = .02) among patients with lung cancer without recent opioids. Medical marijuana legalization was associated with a reduction in the rate of 1 or more pain-related hospital events from 19.3% to 13.0% (difference, 6.3 [95% CI, 0.7-12.0] percentage points; P = .03) among patients with lung cancer with recent opioids.

Conclusions and Relevance

Findings of this cross-sectional study suggest that medical marijuana legalization implemented from 2012 to 2017 was associated with a lower rate of opioid dispensing and pain-related hospital events among some adults receiving treatment for newly diagnosed cancer. The nature of these associations and their implications for patient safety and quality of life need to be further investigated.

Factors associated with frequent or daily use of prescription opioids among adults with chronic pain in the United States

OBJECTIVES

We aimed to estimate utilization rates of prescription opioids among adults with chronic pain in the United States (US) and identify factors associated with the frequent or daily use of prescription opioids.

METHODS

This was a case-control analysis of the 2019 National Health Interview Survey of adults.

RESULTS

Over 50.2 million adults in the US reported chronic pain in the past 3 months, but only 10.5% of this group said they used prescription opioids frequently or daily to manage their pain. Adults with chronic pain were significantly more likely to use opioids if they had incomes below the federal poverty level (15.7%), relied on public health insurance (14.8%), had been hospitalized in the past year (17.8%), or rated their health as fair or poor (18.4%). The highest rates of opioid use were reported among adults with severe (24.4%) or moderate disability (18.9%).

CONCLUSIONS

Approximately 5.3 million adults use prescription opioids frequently or daily to manage chronic pain. These individuals should receive regular clinical assistance to manage their pain, including medication management and, when appropriate, referral to evidence-based treatment programs for opioid use disorder.

Patient Perceptions About Opioid Risk Communications Within the Context of a Randomized Clinical Trial

IMPORTANCE

Opioid overdose rates continue to increase, and extant literature suggests that many individuals who use heroin were first introduced to opioids through a medical prescription.

OBJECTIVE

To explore patient experiences related to decisions regarding analgesia after an emergency department visit within the context of a randomized clinical trial aimed to test the efficacy of risk communication interventions on treatment preference, risk recall, and use of opioids.

DESIGN, SETTING, AND PARTICIPANTS

This qualitative study of 36 patients making decisions regarding analgesia included qualitative interviews with participants in 2 risk intervention groups. Interviews were audio recorded, transcribed, and edited to remove identifying information to protect the confidentiality of participants. Interviews were conducted from June 4, 2019, to August 6, 2019. We conducted thematic analysis from August to December 2019 using a mixed inductive and deductive approach. Participants received $20 in compensation. The study was conducted in 4 geographically diverse emergency departments in the United States. Participants were adults presenting to the emergency department with either musculoskeletal back or neck pain or kidney stone-related pain. Eligibility criteria included being aged 18 to 70 years, capable of providing informed consent, English speaking or having English comprehension, eligible for emergency department discharge within 24 hours of enrollment, and able to access email or a smartphone.

INTERVENTIONS

Participants enrolled from the main randomized clinical trial received 1 of 2 risk interventions: a probabilistic opioid risk tool or a narrative-enhanced probabilistic risk tool (ie, participants viewed eight 1- to 3-minute short videos of patients discussing their experiences with pain treatment and positive and negative experiences with opioid use).

MAIN OUTCOMES AND MEASURES

Factors reported by participants to have influenced their decision-making regarding acute pain and treatment.

RESULTS

Thirty-six participants were interviewed, 18 in the group who received the probabilistic risk tool alone and 18 in the group who received the additional narrative-enhanced probabilistic risk tool intervention. The median age was 38 years (range, 21-67 years), 22 individuals were female (61%), 14 were Black or African American (39%), and 14 were White (39%). Five themes emerged from the analysis in the following domains: the factors associated with the risk interventions; clinician paternalism; analgesia attributes and previous experiences; individual self-identity, attitudes, and values; and perceptions of clinician bias.

CONCLUSIONS AND RELEVANCE

Most participants commented on the powerful lessons they learned from the risk interventions. More research is needed to understand how patients incorporate risk information into their decision-making process.

Provider perspectives and experiences following the integration of the prescription drug monitoring program into the electronic health record

Prescription drug monitoring programs (PDMPs) are a public health tool for prescribers and pharmacists to monitor controlled substance use at the patient level. The objectives of this study were to (1) assess attitudes about the PDMP and perceived changes in experience and decision-making following integration into the electronic health record (EHR), and (2) identify barriers to optimal PDMP use and user recommendations for improvement. This descriptive study used an electronic survey to obtain feedback from prescribers and pharmacists at a single academic medical center. Descriptive statistics were calculated, and textual data were analyzed. Of 1480 PDMP users 208 responded (14.1%). Responses demonstrated the integration of the PDMP into the EHR simplified log-in and access to PDMP information resulting in more frequent access and perceived improvement of care quality. Barriers included technical issues accessing the PDMP within the EHR and the lack of integration of other state PDMPs. Overall, the benefit of integrating the PDMP into the EHR was positive but largely limited to streamlining log-in and patient selection. Recommendations for improvement include addressing technological issues and education on PDMP interpretation and integrating new features that may modify prescribing, referral, and co-prescribing behaviors.

Do opioid prescriptions lead to fatal car crashes?

Widespread opioid misuse suggests a potential for increased fatal car crashes. However, opioid use may not necessarily lead to additional crashes if drivers respond to opioid prevalence by substituting away from more inebriating intoxicants like alcohol. Combining data on local opioid prescription rates and car crashes from the Fatality Analysis and Reporting System, we use two-way fixed effects models to test the direction of the association between prescribing intensity and crash fatalities between 2007 and 2016. We estimate that a 10 percent increase in the local prescription rate is associated with a 1 percent increase in the number of driver deaths in motor vehicle accidents. The association is robust to several model specifications, and isolated to drivers most affected by the opioid crisis: males and 25 to 34 year-olds.

Opioid and non-opioid analgesic prescribing before and after the CDC's 2016 opioid guideline

The U.S. has addressed the opioid crisis using a two-front approach: state regulations limiting opioid prescriptions for acute pain patients, and voluntary federal CDC guidelines on shifting chronic pain patients to lower opioid doses and non-opioids. No opioid policy research to date has accounted for this two-pronged approach in their research design. We develop a theory of physician prescribing behavior under this two-pronged incentive structure. Using the Medical Expenditure Panel Survey, we empirically corroborate the theory: regulations and guidelines have the intended effects of reducing opioid prescriptions for acute and chronic pain, respectively, as well as the predicted unintended effects-income effects cause regulations on acute pain treatment to increase chronic pain opioid prescriptions and the chronic pain treatment guidelines spillover to reduce opioids for acute pain. Moreover, we find that the guidelines worked as intended in terms of the reduced usage, with chronic pain patients shifting to non-opioids and also tapering opioid doses. For those who discontinued opioids under regulations and guidelines, we find no harm in terms of increased work limitations due to pain a year after discontinuing opioids. Finally, we observe an unexplained dichotomy-regulations reduce opioid use by causing fewer new starts, whereas guidelines reduce opioid use by discontinuing current users, with no impact on new starts.

Optimization of Prescription Drug Monitoring Program to Overcome Opioid Epidemic in West Virginia

The development of the Prescription Drug Monitoring Program (PDMP) led to an innovation in the healthcare organization system (HCOs). The PDMP system has been utilized in different states at various organizational levels in an effort to achieve improved health outcomes, reduce the number of prescription drug overdoses, and lighten the economic burden that follows. However, during the implementation of PDMP, there were several barriers and limitations that were discovered. Those barriers impeded the process of utilization of PDMP, such as the complex user interface and lack of training for healthcare providers. The purpose of this paper was to examine the advances and limitations in the utilization and implementation of PDMP in the US healthcare industry and develop strategies for effective use of PDMP in West Virginia.

The qualitative part of this paper was a literature review. The paper referred to several peer-reviewed studies and research articles from several reliable resources, which were reached by databases or Google Scholar. A total of 44 articles were reviewed for this study.

The implementation of the PDMP was influenced by benefits and barriers. This article reviewed several studies in general that demonstrated positive outcomes from the implementation of PDMP, including a reduced number of prescription drug overdoses, coordinated care for patients, and improved health outcomes. However, the barriers and limitations were not neglected, which mainly include integration of PDMP into the electronic health record (EHR) system, lack of training for the providers, and lack of basic standards for the use of PDMP.

Although the new health reforms encouraged the adaption of PDMP among providers, data reporting and data interpretation still remain major concerns for assessing the health outcomes of PDMP implementation.

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

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

Robust Prescription Monitoring Programs and Abrupt Discontinuation of Long-term Opioid Use

INTRODUCTION

This study assesses the associations between the recent implementation of robust features of state Prescription Drug Monitoring Programs and the abrupt discontinuation of long-term opioid therapies.

METHODS

Data were from a national commercial insurance database and included privately insured adults aged 18-64 years and Medicare Advantage enrollees aged ≥65 years who initiated a long-term opioid therapy episode between Quarter 2 of 2011 and Quarter 2 of 2017. State Prescription Drug Monitoring Programs were characterized as nonrobust, robust, and strongly robust. Abrupt discontinuation was measured on the basis of high daily morphine milligram equivalents over the last 30 days of a long-term opioid therapy episode or no sign of tapering before discontinuation. Difference-in-differences models were estimated in 2019‒2020 to assess the association between robust Prescription Drug Monitoring Programs and abrupt discontinuation.

RESULTS

Among nonelderly privately insured adults, robust Prescription Drug Monitoring Programs were associated with an increase from 14.8% to 15.4% (4% relative increase, p=0.02) in the rate of ending long-term opioid therapy with ≥60 daily morphine milligram equivalents. For older Medicare Advantage enrollees, strongly robust Prescription Drug Monitoring Programs were associated with a reduction from 4.8% to 4.3% (10.4%, p=0.01) and from 3.0% to 2.4% (17.3%, p=0.001) in the rate of ending long-term opioid therapy with ≥90 and 120 daily morphine milligram equivalents, respectively. Prescription Drug Monitoring Programs robustness was not associated with clinically meaningful changes in the rate of discontinuing long-term opioid therapy without tapering.

CONCLUSIONS

Discontinuation without tapering was the norm for long-term opioid therapies in the samples throughout the study years. Findings do not support the notion that policies aimed at enhancing Prescription Drug Monitoring Program use were associated with substantial increases in abrupt long-term opioid therapy discontinuation.

Fewer Opioids but More Benzodiazepines? Prescription Trends by Specialty in Response to the Implementation of Michigan's Opioid Laws

OBJECTIVES

To characterize the effects of Michigan's controlled substance legislation on acute care prescriber behavior by specialty, in a single hospital system.

DESIGN

A retrospective study of opioid and benzodiazepine prescription records from a hospital electronic medical record system between August 1, 2016 and March 31, 2019 in Detroit, MI.

SETTING

Discharges from inpatient and emergency department visits.

INTERVENTION

Evaluating the impact of implementation of state controlled substance legislation, comparing prescriptions by physicians before, upon, and after June 1, 2018 using regression discontinuity analysis.

METHODS

Total daily prescriptions of opioids and total daily prescriptions of benzodiazepine by physicians in the hospital system. Prescriptions were converted to morphine and lorazepam equivalents for comparability.

RESULTS

We find 38.5% (CI: 74.1% - 2.9%) decrease of prescription in milligrams of opioid equivalents attributable to implementation of legislation. The main catalyst of the decrease was emergency medicine which experienced 63.9% (CI: 109.7% - 18.0%) decrease in milligrams of opioid equivalent prescriptions, while surgery increased prescriptions. Though we do not find any statistically significant changes in prescriptions of milligram equivalent of benzodiazepines, we estimate 43.1% (CI: 82.6 - 3.7%) decrease in count of these prescriptions, implying a significant increase in average dosage of prescriptions.

CONCLUSIONS

The introduction of new regulatory requirements for the prescription of controlled substances led to a general decrease in morphine equivalent milligrams prescribed in most specialties, though it may have increased the dosage of benzodiazepine prescriptions. The change in prescription behavior could be motivated by regulatory hassle or by change in attitude towards opioid prescriptions and increased recognition of opioid use disorder.

Changes in Opioid Prescribing Following the Implementation of State Policies Limiting Morphine Equivalent Daily Dose in a Commercially Insured Population

BACKGROUND

Prescription opioid mortality doubled 2002-2016 in the United States. Given the association between high-dose opioid prescribing and opioid mortality, several states have enacted morphine equivalent daily dose (MEDD) policies to limit high-dose prescribing. The study objective is to evaluate the impact of state-level MEDD policies on opioid prescribing among the privately insured.

METHODS

Claims data, 2010-2015 from 9 policy states and 2 control states and a comparative interrupted time series design were utilized. Primary outcomes were any monthly opioid use and average monthly MEDD. Stratified analyses evaluated theorized weaker policies (guidelines) and theorized stronger policies (passive alert systems, legislative acts, and rules/regulations) separately. Patient groups explicitly excluded from policies (eg, individuals with cancer diagnoses or receiving hospice care) were also examined separately. Analyses adjusted for covariates, state fixed effects, and time trends.

RESULTS

Both guideline and strong policy implementation were both associated with 15% lower odds of any opioid use, relative to control states. However, there was no statistically significant change in the use of high-dose opioids in policy states relative to control states. There was also no difference in direction and significance of the relationship among targeted patient groups.

CONCLUSIONS

MEDD policies were associated with decreased use of any opioids relative to control states, but no change in high-dose prescribing was observed. While the overall policy environment in treatment states may have discouraged opioid prescribing, there was no evidence of MEDD policy impact, specifically. Further research is needed to understand the mechanisms through which MEDD policies may influence prescribing behavior.

Prevalence and distribution of high-risk prescription opioid use in the United States, 2011-2016

PURPOSE

Despite the efforts of many stakeholders to reduce the risk of opioid overdose, there is limited information on the prevalence of high-risk prescription opioid use in the US.

METHODS

Descriptive analysis of a nationally representative 5% random sample of anonymized, longitudinal, individual-level prescription claims from IQVIA LRx between January 1, 2011 and December 31, 2016 among individuals ages 18 years or older that used a retail pharmacy. High-risk opioid use was defined as ≥50 morphine milligram equivalents per day and/or having concurrent dispensing of a benzodiazepine based on overlapping days of coverage.

RESULTS

The prevalence of high-risk opioid use among adults in the US decreased from 12.0% in 2011 to 9.4% in 2016 (p < 0.01). Declines were most pronounced among individuals ages 18-35 years (10.9%-7.0%, 36.2% decline; p < 0.01) compared to individuals age 65 years or greater (10.5%-9.8%, 6.7% decline; p < 0.01). Declines in high-risk use prevalence were observed across 49 states, with only South Dakota experiencing an increase (+13.7% relative increase). Similar to earlier years, in 2016 50.9% of all high-risk use opioid users received all their opioid prescriptions from a single prescriber, and 71.1% used a single pharmacy to fill them.

CONCLUSION

Despite clinically significant declines in high-risk opioid use, in 2016 nearly 1 in 10 adult retail pharmacy users remained at high-risk for opioid overdose in the US. Future clinical and policy interventions should consider targeting older adults with Medicare Part-D, including those using a single pharmacy to fill their opioid prescriptions.

Can electronic prescribing mandates reduce opioid-related overdoses?

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

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

BACKGROUND

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

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

Predictors, rates, and trends of opioid use disorder among patients hospitalized with chronic pancreatitis

Background

Patients with chronic pancreatitis (CP) suffer from pain and receive increased opioid prescriptions with a high risk of opioid use disorder (OUD). We studied the predictors, trends and outcomes of OUD among patients hospitalized with CP.

Methods

Records with CP (with/without OUD) were extracted from the Nationwide Inpatient Sample (NIS) 2012-2014, and the association of OUD with the burden of CP was calculated. We then charted the trends of OUD and its interaction with concomitant CP from NIS 2007-2014 (SAS 9.4).

Results

In the period 2012-2014, 4349 (4.99%) of the 87,068 CP patients had concomitant OUD, with higher risk among patients who were young, females, white vs. Hispanics, and individuals with chronic back pain, arthritis, non-opioid substance use, mental health disorders, and those hospitalized in urban centers. OUD was associated with a longer hospital stay (6.9 vs. 6.5 days, P=0.0015) but no significant difference in charges ($47,151 vs. $49,017, P=0.0598) or mortality (1.64% vs. 0.74%, P=0.0506). From 2007-2014, the average yearly rate of OUD was 174 cases per 10,000 hospitalizations (174/10,000), almost 3 times higher among CP vs. non-CP (479/10,000 vs. 173/10,000, P<0.001), and it increased from 2007 to 2014 (135/10,000 to 216/10,000, P<0.001). The yearly increase was 2.7 times higher among patients with CP vs. non-CP (29.9/10,000 vs. 11.3/10,000 hospitalizations/year, P<0.001).

Conclusions

CP is associated with higher rates and trends of OUD. Patients with CP at high risk of OUD may benefit from alternate analgesic regimens or surveillance for OUD when they are prescribed opioids.

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

INTRODUCTION

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

MATERIAL AND METHODS

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

RESULTS

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

DISCUSSION

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

CONCLUSION

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

Cost-Effectiveness of an Opioid Abuse-Prevention Program Using the Narcotics Information Management System in South Korea

OBJECTIVES

To assess the cost-effectiveness of an opioid abuse-prevention program embedded in the Narcotics Information Management System ("the Network System to Prevent Doctor-Shopping for Narcotics") in South Korea.

METHODS

Using a Markov model with a 1-year cycle length and 30-year time horizon, we estimated the incremental cost-utility ratio (ICUR) of implementing an opioid abuse-prevention program in patients prescribed outpatient opioids from a Korean healthcare payer's perspective. The model has 6 health states: no opioid use, therapeutic opioid use, opioid abuse, overdose, overdose death, and all-cause death. Patient characteristics, healthcare costs, and transition probabilities were estimated from national population-based data and published literature. Age- and sex-specific utilities of the general Korean population were used for the no-use state, whereas the other health-state utilities were obtained from published studies. Costs (in 2019 US dollars) included the expenses of the program, opioids, and overdoses. An annual 5% discount rate was applied to the costs and quality-adjusted life-years (QALYs). Parameter uncertainties were explored via deterministic and probabilistic sensitivity analyses.

RESULTS

The program was associated with 2.27 fewer overdoses per 100 000 person-years, with an ICUR of $227/QALY. The ICURs were generally robust to parameter changes, although the program's effect on abuse reduction was the most influential parameter. Probabilistic sensitivity analysis showed that the program reached a 100% probability of cost-effectiveness at a willingness-to-pay threshold of $900/QALY.

CONCLUSIONS

The opioid abuse-prevention program appears to be cost-effective in South Korea. Mandatory use of the program should be considered to maximize clinical and economic benefits of the program.

Management of migraine in the emergency department: Findings from the 2010-2017 National Hospital Ambulatory Medical Care Surveys

OBJECTIVE

The study objective was to describe trends in the medical management of migraine in the emergency department (ED) using the 2010-2017 National Hospital Ambulatory Medical Care Survey (NHAMCS) datasets.

METHODS

Using the 2010-2017 NHAMCS datasets, we analyzed visits with a discharge diagnosis of migraine. Drug prescription frequencies between years were compared with the Rao-Scott chi-squared test. Adjusted odds ratios of opioid administration from 2010 to 2017 were calculated using weighted multivariable logistic regression with sex, age, race/ethnicity, pain-score, primary expected source of payment, and year as predictor variables.

RESULTS

Our analysis captured 1846 ED visits with a diagnosis of migraine from 2010 to 2017, representing a weighted average of 1.2 million US ED visits per year. Parenteral opioids were prescribed in 49% (95% CI: 40, 58) of visits in 2010 and 28% (95% CI: 15, 45) of visits in 2017 (p = 0.03). From 2010 to 2017, there was a 10% yearly decrease in opioid prescriptions. Metoclopramide and ketorolac were prescribed more frequently in years 2015 through 2017 than in 2010. Increased opioid administration was associated with female sex, older age, white race, higher pain score, and having Medicare or private insurance as the primary expected source of payment for all years.

CONCLUSION

Opioid administration for migraine in EDs across the US declined 10% annually between 2010 and 2017, demonstrating improved adherence to migraine guidelines recommending against opioids. We identified several factors associated with opioid administration for migraine, identifying groups at higher risk for unnecessary opioids in the ED setting.

State Opioid Limits and Volume of Opioid Prescriptions Received by Medicaid Patients

BACKGROUND

Since early 2016, an increasing number of states passed legislations that limit the duration and/or dosage of initial opioid prescriptions or opioids for acute pain.

OBJECTIVE

The objective of this study was to assess changes in the number of opioid prescriptions covered by Medicaid and received by Medicaid patients associated with state implementation of legislative limits on initial opioid prescriptions.

RESEARCH DESIGN

We explored the natural experiment resulting from the staggered implementation of state legislative limits. The analysis adopted a Difference-in-Differences framework and controlled for other major state policies bearing implications for prescription opioid use. The main analysis included 26 states that implemented limits from early 2016 to late 2018. A secondary analysis included all 50 states and the District of Columbia.

MEASURES

Population-adjusted state-quarter level counts of Schedule II and III opioid prescriptions received by Medicaid patients, based on data from the Medicaid State Drug Utilization Data and state Medicaid enrollment reports for 2013-2018.

RESULTS

Implementation of legislative limits on initial opioid prescriptions was associated with a 7% reduction in the number of opioid prescriptions per 100 Medicaid enrollees. Such reduction was largely attributable to a reduction in Schedule II opioid prescriptions. Secondary analysis by including all jurisdictions and sensitivity checks supported the robustness of results.

CONCLUSION

The recent implementation of state legislative limits on initial opioid prescriptions was associated with meaningful reductions in the volume of Schedule II opioid prescriptions received by Medicaid patients.

Lessons for Better Pain Management in the Future: Learning from the Past

The treatment of noncancer pain in the United States and globally is met with significant challenges, resulting in profound physical, emotional, and societal costs. Based on this need, numerous modalities have been proposed to manage chronic pain, including opioid and nonopioid interventions as well as surgical approaches. Thus, the future of pain management continues to be mired in evolving concepts and constant debates. Consequently, it is crucial to understand the past as we move towards the future. The evolution of lessons for better pain management at present and for the future starting from the 1990s to the present date are reviewed and emphasized with a focus on learning from the past for the future. This review summarizes the evolution of multiple modalities of treatments, including multidisciplinary programs, multimodal therapy, interventional techniques, opioid therapy, other conservative modalities, and surgical interventions. This review emphasizes the individual, patient-centered development of an effective pain treatment plan after proper evaluation to establish a diagnosis. It includes measurable outcomes that focus on improvements in the quality of life and activities of daily living, as well as improvement in pain and function and, most importantly, return to productive citizenship. It is crucial that the knowledge of best practices be advanced, along with emphasis on lessons learned in the past to provide best practices for better pain management.

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

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

Examining Attitudes and Beliefs that Inhibit Pharmacist Implementation of a Statewide Opioid Harm Reduction Program

Background:

A statewide opioid risk screening program was introduced to pharmacists to provide them with resources to screen patients who are prescribed an opioid medication. Using opioid risk screening equips pharmacists to deliver education and patient-centered interventions for opioid harm reduction. Nearly 50% of pharmacists that enrolled their pharmacy to participate in this program did not actively implement the program to patients. Little research is dedicated to examining factors which contribute to unsuccessful implementation of pharmacy-centered interventions. This research aims to describe barriers and beliefs which may hinder the ability of pharmacists to integrate innovative practices into existing workflow.

Objectives:

Using the theory of planned behavior, determine what attitudes and beliefs contribute to unsuccessful implementation of opioid risk screening.

Methods:

A survey was developed within the context of a theoretical framework and distributed to pharmacists who did not successfully implement opioid risk screening 12 month following program inception. Attitude, subjective norm, and perceived behavioral control constructs of the theory of planned behavior were used to identify barriers to opioid risk screening implementation. The responses were analyzed using Mann-Whitney U test, ANOVA, and descriptive statistics.

Results:

Twenty-three pharmacists consented to participate in this study and 17 pharmacists completed the survey (response rate 74%). Pharmacists indicated positive attitudes toward reducing negative opioid outcomes for patients using opioid medications. Positive subjective norm responses indicated a perception that patients and collaborative healthcare providers would approve of pharmacists using opioid risk screening for patients. The highest proportion of negative responses was observed in the perceived behavioral control construct which included difficulty in offering the screening and unsuccessful integration of past interventions.

Conclusions

These results suggest that perceived behavioral control of pharmacists is the most influential factor in unsuccessful implementation of opioid risk screening.

Prescription Drug Monitoring Program Mandates: Impact On Opioid Prescribing And Related Hospital Use

Comprehensive mandates for prescription drug monitoring programs (PDMPs) require state-licensed prescribers and dispensers both to register with and to use the programs in most clinical circumstances. Such mandates have the potential to improve providers' participation and reduce opioid-related adverse events. Using Medicaid prescription data and hospital utilization data across the US in the period 2011-16, we found that state implementation of comprehensive PDMP mandates was associated with a reduction in the opioid prescription rate from 161.47 to 147.07 per 1,000 enrollees per quarter, a reduction in the opioid-related inpatient stay rate from 97.50 to 93.34 per 100,000 enrollees per quarter, and a reduction in the opioid-related emergency department (ED) visit rate from 74.60 to 61.36 per 100,000 enrollees per quarter. Our estimated annual reductions of approximately 12,000 inpatient stays and 39,000 ED visits could save over $155 million in Medicaid spending, a fact that deserves policy attention when states attempt to strengthen and refine PDMPs to better tackle the opioid crisis.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

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

Patient factors that affect opioid use among adults with and without chronic pain

BACKGROUND

In recent years, inappropriate use of prescription opioids has become a national crisis. Prescription opioids can be an important tool for managing pain, but excessive dosages or extended use may lead to drug dependence, overdoses and mortality. Since the early 2000s, increased prescribing of opioids has been associated with marked increases in these adverse outcomes.

OBJECTIVE

To determine patient characteristics associated with opioid use among adults with and without chronic pain treatment.

METHODS

The study is based on a nationally representative sample of civilian noninstitutionalized adults without cancer from the Medical Expenditure Panel Survey (2014-2017). A multinomial logit regression analysis is used. Key patient characteristics are health attitudes. Self-reliant health attitude is agreement with the following statements: "I do not need health insurance," and "I can overcome illness without help from a medically trained person."

RESULTS

Health-related attitudes affect both adults with and without chronic pain treatment similarly. Adults with self-reliant health attitudes are less likely to start and more likely to discontinue opioid use. Exercise is associated with higher probability of choosing no analgesic treatments over using opioids. Similarly, among adults who are using opioids for pain treatment, exercise is associated with higher probability of discontinuing opioid use in the year following opioid initiation.

CONCLUSIONS AND RELEVANCE

Health related attitudes, self-reported mental health, and lifestyle choices such as exercise and smoking are associated with patients' choices among opioid and non-opioid treatments. These results can help clinicians guide patients towards non-opioid treatments.

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.

Identification of barriers to safe opioid prescribing in primary care: a qualitative analysis of field notes collected through academic detailing

BACKGROUND

Understanding barriers to safe opioid prescribing in primary care is critical amid the epidemic of prescription opioid abuse, misuse, and overdose in the US. Educational outreach strategies, such as academic detailing (AD), provide a forum for identification of barriers to, and strategies to facilitate, safe opioid prescribing in primary care.

AIM

To identify barriers to safe opioid prescribing among primary care providers (PCPs) through AD.

DESIGN AND SETTING

Qualitative analysis of data was collected through an existing AD intervention to improve safe opioid prescribing in primary care. The AD intervention was delivered from June 2018 to August 2018 to licensed PCPs with prescriptive authority within a large independent health system in the metropolitan Chicagoland area.

METHOD

The AD intervention involved visits by trained detailers to PCPs who contemporaneously documented details from each visit via field notes. Using qualitative analysis, field notes were analysed to identify recurring themes related to opioid prescribing barriers.

RESULTS

Detailer-entered field notes from 186 AD visits with PCPs were analysed. Barriers to safe opioid prescribing were organised into six themes: 1) gaps in knowledge; 2) lack of prescription monitoring programme (PMP) utilisation; 3) patient pressures to prescribe opioids; 4) insurance coverage policies; 5) provider beliefs; and 6) health system pain management practices.

CONCLUSION

Barriers to safe opioid prescribing in primary care, identified through AD visits among this large group of PCPs, support the need for continued efforts to enhance pain-management education, maximise PMP utilisation, and increase access to, and affordability of, non-opioid treatments.

Quantifying the Crisis: Opioid-Related Adverse Events in Outpatient Ambulatory Plastic Surgery

BACKGROUND

The United States is currently in the midst of an opioid epidemic precipitated, in part, by the excessive outpatient supply of opioid pain medications. Accordingly, this epidemic has necessitated evaluation of practice and prescription patterns among surgical specialties. The purpose of this study was to quantify opioid-related adverse events in ambulatory plastic surgery.

METHODS

A retrospective review of 43,074 patient profiles captured from 2001 to 2018 within an American Association for Accreditation of Ambulatory Surgery Facilities quality improvement database was conducted. Free-text search terms related to opioids and overdose were used to identify opioid-related adverse events. Extracted profiles included information submitted by accredited ambulatory surgery facilities and their respective surgeons. Descriptive statistics were used to quantify opioid-related adverse events.

RESULTS

Among our cohort, 28 plastic surgery patients were identified as having an opioid-related adverse event. Overall, there were three fatal and 12 nonfatal opioid-related overdoses, nine perioperative opioid-related adverse events, and four cases of opioid-related hypersensitivities or complications secondary to opioid tolerance. Of the nonfatal cases evaluated in the hospital (n = 17), 16 patients required admission, with an average 3.3 ± 1.7 days' hospital length of stay.

CONCLUSIONS

Opioid-related adverse events are notable occurrences in ambulatory plastic surgery. Several adverse events may have been prevented had different diligent medication prescription practices been performed. Currently, there is more advocacy supporting sparing opioid medications when possible through multimodal anesthetic techniques, education of patients on the risks and harms of opioid use and misuse, and the development of societal guidance regarding ambulatory surgery prescription practices.

Pain Care in the Department of Veterans Affairs: Understanding How a Cultural Shift in Pain Care Impacts Provider Decisions and Collaboration

OBJECTIVE

Over the past decade, the Department of Veterans Affairs (VA) has experienced a sizeable shift in its approach to pain. The VA's 2009 Pain Management Directive introduced the Stepped Care Model, which emphasizes an interdisciplinary approach to pain management involving pain referrals and management from primary to specialty care providers. Additionally, the Opioid Safety Initiative and 2017 VA/Department of Defense (DoD) clinical guidelines on opioid prescribing set a new standard for reducing opioid use in the VA. These shifts in pain care have led to new pain management strategies that rely on multidisciplinary teams and nonpharmacologic pain treatments. The goal of this study was to examine how the cultural transformation of pain care has impacted providers, the degree to which VA providers are aware of pain care services at their facilities, and their perceptions of multidisciplinary care and collaboration across VA disciplines.

METHODS

We conducted semistructured phone interviews with 39 VA clinicians in primary care, mental health, pharmacy, and physical therapy/rehabilitation at eight Veterans Integrated Service Network medical centers in New England.

RESULTS

We identified four major themes concerning interdisciplinary pain management approaches: 1) the culture of VA pain care has changed dramatically, with a greater focus on nonpharmacologic approaches to pain, though many "old school" providers continue to prefer medication options; 2) most facilities in this sample have no clear roadmap about which pain treatment pathway to follow, with many providers unaware of what treatment to recommend when; 3) despite multiple options for pain treatment, VA multidisciplinary teams generally work together to ensure that veterans receive coordinated pain care; and 4) veteran preferences for care may not align with existing pain care pathways.

CONCLUSIONS

The VA has shifted its practices regarding pain management, with a greater emphasis on nonpharmacologic pain options. The proliferation of nonpharmacologic pain management strategies requires stakeholders to know how to choose among alternative treatments.