Mandatory Provider Review And Pain Clinic Laws Reduce The Amounts Of Opioids Prescribed And Overdose Death Rates

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.

Tramadol use in U.S. Adults With Commercial Health Insurance, 2005-2021

INTRODUCTION

Tramadol has been associated with chronic opioid use and emergency room (ER) visits. However, little is known about trends in prescription tramadol use in the U.S.

METHODS

Optum's de-identified Clinformatics® Data Mart Database was used to assess trends in monthly incident and prevalent tramadol use from 2005 to 2021, stratified by sex and age (18-64 vs. ≥65 years). State-specific trends following scheduling of tramadol as Class IV controlled substance in August 2014 were analyzed with random effects regression models. Demographics, comorbidities, initiation setting, dose, and co-dispensing with other opioids and central nervous system (CNS) agents were assessed in people initiating tramadol, stratified by age and initiation year (2005-2010, 2011-2015, 2016-2021). Analyses were performed in 2023 and 2024.

RESULTS

During 2005-2021, the mean percentage using tramadol in a given month was 0.88% of younger females, 0.55% of younger males, 1.97% of older females, and 1.14% of older males; 5,729,652 initiations were identified. Since 2014, estimated relative yearly decrease was 4% (95% CI 3%; 5%) in use and 5% (95% CI 4%; 5%) in initiation, with variation across states. Primary care percentage of tramadol initiations declined from 49.2% in 2005-2010 to 37.2% in 2016-2021. During 2016-2021, co-dispensing with other CNS agents occurred in 37.8% of younger and 32.1% of older adults initiating tramadol.

CONCLUSIONS

Tramadol use was higher in females and older adults, exhibited heterogeneous trends across states, and shifted from primary care to ER and specialist settings over time. Co-dispensing with other CNS agents was common and warrants further monitoring.

Examining the effect of prescription drug monitoring program integration and mandatory use policies on the distribution of methadone and buprenorphine for opioid use disorder, United States, 2009-2021

BACKGROUND

Prescription drug monitoring programs (PDMPs) have been shown to reduce opioid prescribing for pain, but it is not well understood whether PDMPs influence utilization of medications for opioid use disorder. PDMP integration and mandatory use policies are two approaches implemented by states to increase use of PDMPs by prescribers. This study examined the effect of these approaches on distribution of methadone and buprenorphine from 2009 to 2021 for 50 states and DC.

METHODS

The effect of PDMP integration and mandatory use policies on four outcomes (distribution of buprenorphine to opioid treatment programs, distribution of buprenorphine to pharmacies, distribution of methadone to opioid treatment programs, and the total combined distribution of methadone and buprenorphine) was estimated using a Callaway and Sant'Anna difference-in-differences model, controlling for co-occurring opioid-related state policies.

RESULTS

Distribution of buprenorphine to pharmacies decreased 8 % (95 % CI -14 %, -1 %) following implementation of mandatory use policies. Distribution of methadone to opioid treatment programs increased 17 % (95 % CI 4 %, 34 %) and the total combined distribution of methadone and buprenorphine increased 6 % (95 % CI -0 %, 14 %) following the joint implementation of both approaches.

CONCLUSION

Distribution of methadone and buprenorphine has increased since 2009, but less than a quarter of people with opioid use disorder currently receive these medications. We observed a small net benefit of PDMP integration and mandatory use policies on distribution of methadone and buprenorphine. Policymakers should continue to assess the impact of PDMPs on access to medications for opioid use disorder and consider additional approaches to increase access to treatment.

Barriers and motivational factors for engaging in novel opioid and medication disposal-related services in community pharmacies

OBJECTIVE

This study aimed to explore and identify motivational factors and barriers for pharmacy personnel participation in specific opioid mitigation programs, using the Theory of Planned Behavior (TPB) as an investigational framework.

METHODS

A naturalistic inquiry method was employed involving semi-structured interviews with pharmacy personnel to assess their intentions, attitudes, normative beliefs, and behaviors towards participating in naloxone dispensing and provision of at-home drug disposal solutions. Purposive sampling was utilized to recruit participants, with saturation achieved after 12 interviews. Interviews were transcribed and coded to identify recurring themes.

RESULTS

Four primary themes emerged: 1) the value and benefits of helping others, emphasizing societal, patient, and environmental benefits; 2) limits and barriers to participation, including financial concerns, management support, and time constraints; 3) pharmacists' intrinsic motivators, highlighting personal motivations and differentiation between programs for specific patient types; and 4) program implementation challenges and strategies.

CONCLUSION

The findings underscore the applicability of the TPB in understanding pharmacy engagement in opioid abatement programs. Despite facing barriers such as financial considerations and time constraints, the overall positive attitudes towards the programs indicate a strong motivation to contribute to public health efforts. Addressing identified barriers and leveraging motivators could enhance participation, potentially mitigating the opioid crisis. Future research should incorporate patient perspectives to fully understand the impact and effectiveness of pharmacy-led interventions, such as naloxone dispensing and disposal solutions, in opioid misuse prevention.

Substance Use Patterns and Characteristics Using Real World Data from Adolescents Assessed for Substance Use and Treatment Planning-United States, 2017-2021

BACKGROUND

Although substance use rates among adolescents have decreased, drug overdose deaths among adolescents have increased since 2020, driven largely by illegally made fentanyl (IMF). This study explores substance use patterns and characteristics of adolescents who were assessed for substance use disorder (SUD) treatment to inform prevention and response strategies.

METHODS

A convenience sample of adolescents aged 10-18 years assessed for SUD treatment from September 2017 to December 2021 was analyzed using the Comprehensive Health Assessment for Teens. The percentage of lifetime and past 30-day substance use was examined. Adolescent characteristics (e.g., demographics, history of overdoses or hospital visits due to drug/alcohol use) were analyzed by lifetime substances used.

RESULTS

Among 5,377 assessments, most were male (58.7%), aged 16-18 years (50.5%), non-Hispanic White (43.1%), enrolled in school (87.3%), and living with their parent(s) (72.4%). The most commonly reported lifetime substances used were marijuana (68.0%), alcohol (54.2%), and prescription opioid misuse (13.6%). The most common past 30-day substance use combination was alcohol and marijuana (35.6%). The percentage of assessments indicating past-year overdoses or hospital visits due to drug/alcohol use was greatest among those who reported lifetime use of IMF (24.0%), followed by heroin (21.4%) and cocaine (15.3%). Overall, 2.3% reported lifetime IMF use and 0.6% thought IMF was causing them the most problems.

CONCLUSIONS

Findings inform opportunities to address substance use and increased IMF-involved overdose among adolescents. Continued overdose prevention and response strategies such as evidence-based education campaigns, naloxone distribution and harm reduction efforts, and evidence-based SUD treatment expansion are needed.

The effect of combat deployments on veteran opioid abuse

Grim national statistics about the U.S. opioid crisis are increasingly well known to the American public. Far less well known is that U.S. servicemembers are at ground zero of the epidemic, with veterans facing an overdose death rate of up to twice that of civilians. Exploiting a quasi-experiment in overseas deployment assignment, this study estimates the causal impact of combat exposure among the deployed in the Global War on Terrorism on opioid abuse. We find that exposure to war theater substantially increased the risk of prescription painkiller abuse and illicit heroin use among active duty servicemen. The magnitudes of our estimates imply lower-bound combat exposure-induced healthcare costs of $1.04 billion per year for prescription painkiller abuse and $470 million per year for heroin use.

ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection

Opioid related aberrant behaviors (ORABs) present novel risk factors for opioid overdose. This paper introduces a novel biomedical natural language processing benchmark dataset named ODD, for ORAB Detection Dataset. ODD is an expert-annotated dataset designed to identify ORABs from patients' EHR notes and classify them into nine categories; 1) Confirmed Aberrant Behavior, 2) Suggested Aberrant Behavior, 3) Opioids, 4) Indication, 5) Diagnosed opioid dependency, 6) Benzodiazepines, 7) Medication Changes, 8) Central Nervous System-related, and 9) Social Determinants of Health. We explored two state-of-the-art natural language processing models (fine-tuning and prompt-tuning approaches) to identify ORAB. Experimental results show that the prompt-tuning models outperformed the fine-tuning models in most categories and the gains were especially higher among uncommon categories (Suggested Aberrant Behavior, Confirmed Aberrant Behaviors, Diagnosed Opioid Dependence, and Medication Change). Although the best model achieved the highest 88.17% on macro average area under precision recall curve, uncommon classes still have a large room for performance improvement. ODD is publicly available.

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.

Learning from the implementation of a surgical opioid reduction initiative in an integrated health system: a qualitative study among providers and patients

BACKGROUND

Surgical opioid overprescribing can result in long-term use or misuse. Between July 2018 and March 2019, the multicomponent intervention, Minimizing Opioid Prescribing in Surgery (MOPiS) was implemented in the general surgery clinics of five hospitals and successfully reduced opioid prescribing. To date, various studies have shown a positive outcome of similar reduction initiatives. However, in addition to evaluating the impact on clinical outcomes, it is important to understand the implementation process of an intervention to extend sustainability of interventions and allow for dissemination of the intervention into other contexts. This study aims to evaluate the contextual factors impacting intervention implementation.

METHODS

We conducted a qualitative study with semi-structured interviews held with providers and patients of the general surgery clinics of five hospitals of a single health system between March and November of 2019. Interview questions focused on how contextual factors affected implementation of the intervention. We coded interview transcripts deductively, using the Consolidated Framework for Implementation Research (CFIR) to identify the relevant contextual factors. Content analyses were conducted using a constant comparative approach to identify overarching themes.

RESULTS

We interviewed 15 clinicians (e.g., surgeons, nurses), 1 quality representative, 1 scheduler, and 28 adult patients and identified 3 key themes. First, we found high variability in the responses of clinicians and patients to the intervention. There was a strong need for intervention components to be locally adaptable, particularly for the format and content of the patient and clinician education materials. Second, surgical pain management should be recognized as a team effort. We identified specific gaps in the engagement of team members, including nurses. We also found that the hierarchical relationships between surgical residents and attendings impacted implementation. Finally, we found that established patient and clinician views on opioid prescribing were an important facilitator to effective implementation.

CONCLUSION

Successful implementation of a complex set of opioid reduction interventions in surgery requires locally adaptable elements of the intervention, a team-centric approach, and an understanding of patient and clinician views regarding changes being proposed.

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

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Trends in oxycodone and oxycodone-containing analgesics administration for back pain in emergency departments in the USA (2007-2018)

BACKGROUND

To describe trends in oxycodone and oxycodone-containing analgesic prescribing for the treatment of back pain among adults in emergency departments (EDs) in the USA from 2007 to 2018.

METHODS

Data were gathered from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 2007 to 2018. The study population included individuals of all ages presenting to USA EDs. The NHAMCS reasons for visit and oxycodone drug ID codes were used to isolate patients with back pain. The main outcome was the proportion of oxycodone and oxycodone-containing analgesics prescribed for back pain in the EDs over the specified time period.

RESULTS

There was a relative decrease in the overall administration of oxycodone for back pain in the EDs by 62.3% from 2007 (244,000 visits) to 2018 (92,000 visits). The proportion of ED patients prescribed with oxycodone-containing analgesics for back pain increased among patients aged 45 years and older (from 43.8% to 57.6%), female patients (from 54.5% to 62.0%), black patients (from 22.5% to 30.4%), and Hispanic/Latino patients (from 9.4% to 19.6%). Oxycodone/acetaminophen was most prescribed and accounted for 90.2% of all oxycodone-containing analgesics in 2007, with a decrease to 68.5% in 2018. Pure oxycodone was the second most prescribed medication, accounting for 6.1% in 2007 and 31.5% in 2018.

CONCLUSION

The overall number of oxycodone-containing analgesics decreased significantly from 2007 to 2018. However, that number trended upward in 45-year-old and older, female, black, or Hispanic/Latino patients from 2007 to 2018. The total amount of pure oxycodone increased significantly from 2007 to 2008.

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.

Impact of State Laws on Dispensing Opioid Prescriptions Following Posterior Lumbar Interbody Fusion Procedures: A Retrospective Large National Database Study

STUDY DESIGN

Retrospective Cohort Study.

OBJECTIVES

This study aimed to examine the effect of state legislation on prescribing behavior after a commonly performed spinal procedure, posterior lumbar interbody fusion (PLIF).

METHODS

Two cohorts of patients from the Pearl Diver Database were created based on patients who underwent PLIF surgery in 2014-15 and 2018-19. We compared opioid prescription rates and morphine-milli-equivalent (MME) between states with and without prescription legislation.

RESULTS

We analyzed 50 958 PLIF patients from 2014-15 and 46 751 patients from 2018-19. Among them, 38 states passed opioid prescription laws in 2016-2017, while 12 states did not. The percentage of patients receiving opioid prescriptions within 365 days post-surgery remained similar in both time periods (49% in 2014-15 and 48% in 2018-2019). This trend was consistent across states with and without prescription legislation (50% vs 48% in 2014-2015, and similar in 2018-19). Opioid prescription quantity significantly decreased in all states between 2014-15 and 2018-19. In states with legislation, average MME dropped from 9198 ± 21 002 to 4932 ± 13 213 (46.4% decrease), and in states without legislation, it decreased from 9175 ± 21 032 to 4994 ± 11 687 (45.6% decrease). However, these differences were not statistically significant (P = .7985).

CONCLUSION

From 2014 to 2018, there was a significant decrease in the number of opioids prescribed after PLIF. However, this decrease occurred irrespective of state legislation on prescribing practices being passed. We believe the reduction in opioids prescribed was due to increased awareness surrounding the dangers of opioids among physicians.

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.

Associations between opioid overdose deaths and drugs confiscated by law enforcement and submitted to crime laboratories for analysis, United States, 2014-2019: an observational study

Background

The overdose epidemic in the United States (US) continues to generate unprecedented levels of mortality. There is urgent need for a national data system capable of yielding high-quality, timely, and actionable information on existing and emerging drugs. Public health researchers have started using law enforcement forensic laboratory data to obtain surveillance information on illicit drugs. This study is the first to use drug reports from the entire US to examine correlations between a changing drug supply and increasing opioid-involved overdose deaths (OOD) on a national scale.

Methods

This study is observational and investigates associations between law enforcement drug reports and OOD for the US from 2014 to 2019. OOD data are from the Centers for Disease Control and Prevention's National Vital Statistics System restricted-use multiple cause of death files. The US Drug Enforcement Administration's National Forensic Laboratory Information System (NFLIS) contains forensic laboratory-tested drug exhibit information for the entire US (NFLIS-Drug). Counts of forensic laboratory reports and OOD were aggregated for each state by month, quarter, and year. A difference-in-differences framework was used to estimate contemporaneous and lagged associations.

Findings

Between 2014 and 2019 in the US, 249,522 OOD were reported, with the annual number nearly doubling from 28,723 to 50,179. OOD involving illicitly manufactured fentanyls (IMF) also increased substantially during this period, from 19.4% to 72.9%. In addition, 3,817,438 forensic laboratory reports in the US that were reported to NFLIS-Drug contained an opioid, stimulant, or benzodiazepine. Reports of fentanyl and fentanyl-related compounds (FFRC) had the strongest association with OOD. Each additional FFRC exhibit was associated with a 2.97% (95% CI: 1.7%, 4.1%) increase in OOD per 100,000 persons per quarter.

Interpretation

Adding to the emerging consensus, protracted growth in IMF supply was more strongly associated with OOD than all other illicit drugs reported to NFLIS-Drug over the study time period. Findings demonstrate NFLIS-Drug data usefulness for research that require proxy indicators for the illicit drugs supply. A concerted effort between public health and public safety to make NFLIS-Drug more timely could strengthen its utility as a national, public health, drug surveillance system.

Funding

Sangeetha Arctic Slope Mission Services, LLC, ASMS Contract No. ASM5-00017.

Buprenorphine and opioid analgesics: Dispensation and discontinuity among accidental overdose fatalities in the Indianapolis metropolitan area, 2016-2021

BACKGROUND

This study describes overall trends and sociodemographic disparities in buprenorphine and opioid analgesic uptake and prescribing patterns prior to fatal overdose events.

METHODS

We examined toxicology data from all accidental overdose deaths from 2016 to 2021 (N = 2682) in a large metropolitan area. These data were linked at the individual-level with a prescription drug monitoring program (PDMP).

RESULTS

Fewer than half of all deaths had any kind of PDMP record (39.9 %, n = 1070). Among those with a buprenorphine prescription, 10.6 % (n = 35) of decedents had a buprenorphine dispensation within 7 days of their death, while the majority (64.7 %, n = 214) were dispensed buprenorphine more than 30 days prior to death. Evidence existed of racial disparities among those with any buprenorphine uptake, whereby Black individuals (7.3 %, n = 24) had significantly fewer any dispensations compared to White individuals (92.7 %, n = 307). Among those with an opioid analgesic prescription, about 12.2 % (n = 90) were dispensed within 7 days of death, with the majority (68.5 %, n = 506) occurring more than 30 days prior to death. Like buprenorphine dispensations, Black individuals were prescribed a significantly smaller proportion of opioid analgesics (21.9 %, n = 162) versus White individuals (77.7 %, n = 574). Buprenorphine was detected in 78.5 % of deaths where fentanyl was present in the toxicology record, significantly greater when compared to opioid analgesics (57.5 %).

CONCLUSION

Consistent with prior research, our findings suggest prescription opioid analgesics may protect against fatal overdoses. Access to buprenorphine treatment did not keep pace with the rising lethality of the overdose crisis, and in recent years, a smaller percentage of the people at risk of fatal overdose availed themselves of MOUD preceding their death.

High-risk Opioid Prescribing Associated with Postoperative New Persistent Opioid Use in Adolescents and Young Adults

OBJECTIVE

In this study, we explored which postoperative opioid prescribing practices were associated with persistent opioid use among adolescents and young adults.

BACKGROUND

Approximately 5% of adolescents and young adults develop postoperative new persistent opioid use. The impact of physician prescribing practices on persistent use among young patients is unknown.

METHODS

We identified opioid-naïve patients aged 13 to 21 who underwent 1 of 13 procedures (2008-2016) and filled a perioperative opioid prescription using commercial insurance claims (Optum Deidentified Clinformatics Data Mart Database). Persistent use was defined as ≥ 1 opioid prescription fill 91 to 180 days after surgery. High-risk opioid prescribing included overlapping opioid prescriptions, co-prescribed benzodiazepines, high daily prescribed dosage, long-acting formulations, and multiple prescribers. Logistic regression modeled persistent use as a function of exposure to high-risk prescribing, adjusted for patient demographics, procedure, and comorbidities.

RESULTS

High-risk opioid prescribing practices increased from 34.9% to 43.5% over the study period; the largest increase was in co-prescribed benzodiazepines (24.1%-33.4%). High-risk opioid prescribing was associated with persistent use (aOR 1.235 [1.12,1.36]). Receipt of prescriptions from multiple opioid prescribers was individually associated with persistent use (aOR 1.288 [1.16,1.44]). The majority of opioid prescriptions to patients with persistent use beyond the postoperative period were from nonsurgical prescribers (79.6%).

CONCLUSIONS

High-risk opioid prescribing practices, particularly receiving prescriptions from multiple prescribers across specialties, were associated with a significant increase in adolescent and young adult patients' risk of persistent opioid use. Prescription drug monitoring programs may help identify young patients at risk of persistent opioid use.

Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England

For the past two decades, the USA has been embroiled in a growing prescription drug epidemic. The ripples of this epidemic have been especially apparent in the state of Maine, which has fought hard to mitigate the damage caused by addiction to pharmaceutical and illicit opioids. In this study, we construct a mathematical model of the opioid epidemic incorporating novel features important to better understanding opioid abuse dynamics. These features include demographic differences in population susceptibility, general transmission expressions, and combined consideration of pharmaceutical opioid and heroin abuse. We demonstrate the usefulness of this model by calibrating it with data for the state of Maine. Model calibration is accompanied by sensitivity and uncertainty analysis to quantify potential error in parameter estimates and forecasts. The model is analyzed to determine the mechanisms most influential to the number of opioid abusers and to find effective ways of controlling opioid abuse prevalence. We found that the mechanisms most influential to the overall number of abusers in Maine are those involved in illicit pharmaceutical opioid abuse transmission. Consequently, preventative strategies that controlled for illicit transmission were more effective over alternative approaches, such as treatment. These results are presented with the hope of helping to inform public policy as to the most effective means of intervention.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

STUDY OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Association of prescription drug monitoring programs with benzodiazepine prescription dispensation and overdose in adolescents and young adults

INTRODUCTION

Prescription drug monitoring programs are state-run databases designed to support safe prescribing of controlled substances and reduce prescription drug misuse. We analyzed healthcare claims data to determine the association between prescription drug monitoring programs with mandated provider review and adolescent and young adult benzodiazepine prescription dispensing and overdose.

METHODS

We performed a state-level retrospective cohort study to evaluate the association between implementation of prescription drug monitoring programs with mandated provider review and benzodiazepine prescription dispensing and benzodiazepine-related overdoses among adolescents (13-18 years) and young adults (19-25 years) between 1 January 2008 and 31 December 2019. Data were obtained from a United States commercial health insurance company.

RESULTS

There were 74,539 (1.8%) adolescents and 246,760 (4.0%) young adults with at least one benzodiazepine prescription dispensed. Benzodiazepine overdoses occurred among 1,569 (0.04%) and 3,202 (0.05%) adolescents and young adults, respectively. Implementation of a prescription drug monitoring program with mandated provider review was associated with a 6.8% (95% CI, 1.6-11.8) yearly reduction in benzodiazepine prescription dispensing among adolescents and a 12.5% (95% CI, 9.3-15.5) yearly reduction among young adults. There was no decrease in benzodiazepine overdoses in either age group (-15.4% [95% CI, -21.5 to 3.0] and -8.0% [95% CI, -18.0 to 3.2] yearly change in adolescents and young adults, respectively).

DISCUSSION

Consistent with prior work, our study did not find an association between prescription drug monitoring program implementation and reduction in benzodiazepine-related overdoses among adolescents and young adults. However, the substantial reduction in benzodiazepine prescription dispensing is encouraging.

CONCLUSION

Prescription drug monitoring programs were associated with decreases in benzodiazepine prescription dispensing, but not benzodiazepine-related overdoses in this cohort of adolescents and young adults. These findings serve to inform development of further policies to address rising rates of benzodiazepine misuse and overdose in this patient population.

Provider compliance with a tailored opioid prescribing calculator in gynecologic surgery

OBJECTIVE

To evaluate the impact a tailored opioid prescription calculator has on meeting individual patient opioid needs while avoiding opioid over prescriptions.

METHODS

Our group previously developed and published an opioid prescribing calculator incorporating patient risk factors (history of depression, anxiety, chronic opioid use, substance abuse disorder, and/or chronic pain) and type of surgery (laparotomy or laparoscopy). This calculator was implemented on 1/1/2021 and its impact on opioid prescriptions was evaluated until 12/31/21. The primary outcome of the present study is to determine prescriber compliance with the calculator (defined as not overprescribing from the number of pills indicated by the calculator). The secondary outcome is to determine the excess prescription rate (defined as proportion of patients reporting more than 3 pills remaining at 30 days post-surgery). Refill rates and pain related patient phone calls were collected. Descriptive statistics were used to summarize the cohort.

RESULTS

Of the 355 patients included, 54.7% (N = 194) underwent laparoscopy and 45.4% (N = 161) underwent laparotomy. One hundred and forty-two patients (40%) had at least one risk factor for opioid usage. The median number of opioid pills prescribed following laparoscopy was 3 (range 0-15) and 6 (0-20) after laparotomy. The prescriber compliance was 88.2% and the excess prescription rate was 25.1% (N = 89 patients).

CONCLUSIONS

Our tailored opioid calculator has a high prescriber compliance. Implementation of this calculator led to a standardization of tailored opioid prescribing, while limiting the number of over prescriptions. A free web version of the calculator can be easily accessed at www.opioidcalculator.org.

Real-World Observational Evaluation of Common Interventions to Reduce Emergency Department Prescribing of Opioid Medications

BACKGROUND

Prior work on opioid prescribing has examined dosing defaults, interruptive alerts, or "harder" stops such as electronic prescribing of controlled substances (EPCS), which has become increasingly required by state policy. Given that real-world opioid stewardship policies are concurrent and overlapping, the authors examined the effect of such policies on emergency department (ED) opioid prescriptions.

METHODS

The researchers performed observational analysis of all ED visits discharged between December 17, 2016, and December 31, 2019, across seven EDs of a hospital system. Four interventions were examined in chronological order, with each successive intervention added on top of all previous interventions: 12-pill prescription default, EPCS, electronic health record (EHR) pop-up alert, and 8-pill prescription default. The primary outcome was opioid prescribing, which was described as number of opioid prescriptions per 100 discharged ED visits and modeled as a binary outcome for each visit. Secondary outcomes included prescription morphine milligram equivalents (MME) and non-opioid analgesia prescriptions.

RESULTS

A total of 775,692 ED visits were included in the study. Compared to the preintervention period, cumulative reductions in opioid prescribing were seen with incremental interventions, including after adding a 12-pill default (odds ratio [OR] 0.88, 95% confidence interval [CI] 0.82-0.94), after adding EPCS (OR 0.7, 95% CI 0.63-0.77), after adding pop-up alerts (OR 0.67, 95% CI 0.63-0.71), and after adding an 8-pill default (OR 0.61, 95% CI 0.58-0.65).

CONCLUSION

EHR-implemented solutions such as EPCS, pop-up alerts, and pill defaults had varying but significant effects on reducing ED opioid prescribing. Policy makers and quality improvement leaders might achieve sustainable improvements in opioid stewardship while balancing clinician alert fatigue through policy efforts promoting implementation of EPCS and default dispense quantities.

Systematic Identification and Categorization of Opioid Prescribing and Dispensing Policies in 16 States and Washington, DC

OBJECTIVES

State policies can impact opioid prescribing or dispensing. Some state opioid policies have been widely examined in empirical studies, including prescription drug monitoring programs and pain clinic licensure requirements. Other relevant policies might exist that have received limited attention. Our objective was to identify and categorize a wide range of state policies that could affect opioid prescribing/dispensing.

METHODS

We used stratified random sampling to select 16 states and Washington, DC, for our sample. We collected state regulations and statutes effective during 2020 from each jurisdiction, using search terms related to opioids, pain management, and prescribing/dispensing. We then conducted qualitative template analysis of the data to identify and categorize policy categories.

RESULTS

We identified three dimensions of opioid prescribing/dispensing laws: the prescribing/dispensing rule, its applicability, and its disciplinary consequences. Policy categories of prescribing/dispensing rules included clinic licensure, staff credentials, evaluating the appropriateness of opioids, limiting the initiation of opioids, preventing the diversion or misuse of opioids, and enhancing patient safety. Policy categories related to applicability of the law included the pain type, substance type, practitioner, setting, payer, and prescribing situation. The disciplinary consequences dimension included specific consequences and inspection processes.

DISCUSSION

Policy categories within each dimension of opioid prescribing/dispensing laws could become a foundation for creating variables to support empirical analyses of policy effects, improving operationalization of policies in empirical studies, and helping to disentangle the effects of multiple state laws enacted at similar times to address the opioid crisis. Several of the policy categories we identified have been underexplored in previous empirical studies.

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.

Cycles of Chronic Opioid Therapy Following Mandatory Prescription Drug Monitoring Program Legislation: A Retrospective Cohort Study

BACKGROUND

Mandates for prescriber use of prescription drug monitoring programs (PDMPs), databases tracking controlled substance prescriptions, are associated with reduced opioid analgesic (OA) prescribing but may contribute to care discontinuity and chronic opioid therapy (COT) cycling, or multiple initiations and terminations.

OBJECTIVE

To estimate risks of COT cycling in New York City (NYC) due to the New York State (NYS) PDMP mandate, compared to risks in neighboring New Jersey (NJ) counties.

DESIGN

We estimated cycling risk using Prentice, Williams, and Peterson gap-time models adjusted for age, sex, OA dose, payment type, and county population density, using a life-table difference-in-differences design. Failure time was duration between cycles. In a subgroup analysis, we estimated risk among patients receiving high-dose prescriptions. Sensitivity analyses tested robustness to cycle volume considering only first cycles using Cox proportional hazard models.

PARTICIPANTS

The cohort included 7604 patients dispensed 12,695 prescriptions.

INTERVENTIONS

The exposure was the August 2013 enactment of the NYS PDMP prescriber use mandate.

MAIN MEASURES

We used monthly, patient-level data on OA prescriptions dispensed in NYC and NJ between August 2011 and July 2015. We defined COT as three sequential months of prescriptions, permitting 1-month gaps. We defined recurrence as re-initiation of COT after at least 2 months without prescriptions. The exposure was enactment of the PDMP mandate in NYC; NJ was unexposed.

KEY RESULTS

Enactment of the NYS PDMP mandate was associated with an adjusted hazard ratio (HR) for cycling of 1.01 (95% CI, 0.94-1.08) in NYC. For high-dose prescriptions, the risk was 1.16 (95% CI, 1.01-1.34). Sensitivity analyses estimated an overall risk of 1.01 (95% CI, 0.94-1.11) and high-dose risk of 1.09 (95% CI, 0.91-1.31).

CONCLUSIONS

The PDMP mandate had no overall effect on COT cycling in NYC but increased cycling risk among patients receiving high-dose opioid prescriptions by 16%, highlighting care discontinuity.

Examining Geographic Variation of Opioid Use Disorder Encounters in the USA

OBJECTIVES

The objectives were (1) to characterize patient encounters of opioid use disorder (OUD) using Health Facts^® database; and (2) to identify geographic variation, patient characteristics, and facility characteristics impacting patients' reduced OUD encounters over time.

METHODS

Patient encounters were included if the patient (1) was 18 years old or greater; (2) had an index encounter; (3) survived at least 30 days after the discharge. The OUD encounter was based on ICD-10 codes. The date at which a patient first had an OUD encounter was the index date. For the first objective, OUD encounters were described according to patient characteristics, facility characteristics, and geographic variation. Patient characteristics were age, gender, marital status, race, health insurance coverage, discharge disposition, and patient type. Facility characteristics were care setting, medical specialty, census region, census division, urban vs. rural, acute vs. non-acute, and teaching hospital status. For the second objective, patients were examined 1 year prior to through 1 year after the index date. A logistic regression was used to determine the likelihood of reduced OUD encounters over time, conditional upon geographic variation, patient characteristics, and facility characteristics.

RESULTS

A total of 265,643 OUD encounters were identified. East South Central was associated with the highest population-based rate of OUD among nine census divisions. In the logistic regression (n = 10,762), discharged to home, outpatient, emergency room, psychiatry, East North Central, West North Central, and urban areas were significant positive predictors for reduced OUD encounters over time, whereas age and Mountain were significant negative predictors.

CONCLUSIONS

East South Central was associated with the highest population-based rate of OUD. Compared with East South Central, East North Central and West North Central had a significantly positive impact on fewer encounters of OUD over time.

Prescription Opioid Resiliency and Vulnerability: A Mixed-Methods Comparative Case Study

Despite declines in prescription opioid overdoses, rural areas continue to have higher prescription opioid overdose rates than urban areas. We aim to understand high overdose places were resilient to the prescription opioid overdose crisis (better than predicted), while others were vulnerable (worse than predicted). First, we predicted prescription opioid overdose mortality in 2016-18 for N = 2,013 non-metropolitan counties using multivariable regression accounting. Second, we constructed a resiliency-vulnerability typology using observed, predicted, and residual values from the regression. Third, we selected a high-overdose resilient and vulnerable community for case study analysis using interviews, focus groups, and observations. High-overdose resilient and vulnerable places had disability-dispensing-overdose pathways, legacies of mining, and polysubstance drug abuse. Resilient places were larger population micropolitans with extensive health and social services, norms of redemption and acceptance of addiction, and community-wide mobilization of public and non-profit resources. Vulnerable places were smaller, more remote, lacked services, and stigmatized addiction.

Developing Opioid Prescription Guidelines After Anorectal Surgery: Do Patient-Reported Outcomes and Risk Factors Influence Consumption?

BACKGROUND

Opioids prescribed to address postoperative pain drive opioid-related deaths in the United States. Prescribing guidelines have been developed for many general surgical procedures, which have decreased opioid prescription and consumption. The literature on opioids after anorectal surgery is lacking.

OBJECTIVE

We analyzed our data on opioid prescription and consumption to create opioid-prescribing guidelines for anorectal procedures.

DESIGN

We designed a prospectively collected postoperative survey given to consecutive patients undergoing anorectal surgery by colorectal surgeons.

SETTINGS

Patients had surgery at 2 academic, university-affiliated hospitals.

PATIENTS

Patients undergoing anorectal surgery from May 3, 2018, to December 18, 2019, were included in the study. Patients were excluded if they were <18 years of age, had a concurrent abdominopelvic surgery, consumed opioids in the week before their operation, or were without follow-up at 3 months postoperatively.

MAIN OUTCOME MEASURES

The primary outcome of this study was the number of opioid pills needed to fulfill consumption of 80% of patients. Secondary outcome measures were patient, operative, and postoperative factors associated with increasing pill consumption.

RESULTS

Eighteen 5-mg oxycodone tablets were needed to fulfill the needs of 80% of patients. An overall median of 8 pills was consumed. Pill prescription was independently predictive of increased consumption. The only patient factor associated with increased consumption was race; no other patient or operative factors were predictive of consumption.

LIMITATIONS

Limitations of this study include its partially retrospective nature, use of self-reported data, and lack of racial diversity among our cohort.

CONCLUSIONS

Without any clinical factors predictive of increased consumption, prescription guidelines can be standardized to ≤18 5-mg oxycodone tablets across anorectal surgery patients. As prescription is correlated with consumption, further work is needed to determine whether lesser quantities of opioids prescribed offer similar postoperative pain relief for patients undergoing anorectal surgery. See Video Abstract at http://links.lww.com/DCR/B821 .DESARROLLO DE PAUTAS PARA LA PRESCRIPCIÓN DE OPIOIDES DESPUÉS DE CIRUGÍA ANORRECTAL: ¿INFLUYEN EN EL CONSUMO LOS RESULTADOS INFORMADOS POR EL PACIENTE Y LOS FACTORES DE RIESGO?

ANTECEDENTES

Los opioides recetados para tratar el dolor posoperatorio provocan muertes relacionadas con los opioides en los Estados Unidos. Se han desarrollado pautas de prescripción para muchos procedimientos quirúrgicos generales y estas han conducido a una disminución de la prescripción y el consumo de opioides. Hay una carencia de literatura sobre el uso de opioides después de cirugía anorrectal.

OBJETIVO

Analizamos nuestros datos sobre prescripción y consumo de opioides para crear pautas de prescripción de opioides para procedimientos anorrectales.

DISEO

Diseñamos una encuesta postoperatoria recopilada prospectivamente que se administró a pacientes consecutivos sometidos a cirugía anorrectal por cirujanos colorrectales.

AJUSTES

Los pacientes fueron operados en dos hospitales académicos afiliados a la universidad.

PACIENTES

Se incluyeron en el estudio pacientes sometidos a cirugía anorrectal desde el 3/05/2018 hasta el 18/12/2019. Se excluyó a los pacientes que tenían menos de 18 años, a los que se sometieron a cirugía abdominopélvica concurrente, a los que consumieron opioides en la semana anterior a la operación, o si no tenían seguimiento a los 3 meses del postoperatorio.

PRINCIPALES MEDIDAS DE DESENLACE

El desenlace principal de este estudio fue el número de píldoras de opioides necesarias para satisfacer el consumo del 80% de los pacientes. Las medidas de desenlace secundarias fueron los factores del paciente, operatorios y posoperatorios asociados con el aumento del consumo de píldoras.

RESULTADOS

Fueron necesarios dieciocho comprimidos de oxicodona de 5 mg para cubrir las necesidades del 80% de los pacientes. Se consumió una mediana general de 8 píldoras. La prescripción de la píldora fue un predictor independiente de un mayor consumo. El único factor del paciente asociado con un mayor consumo fue la raza; ningún otro paciente o factores operativos fueron predictivos del consumo.

LIMITACIONES

Las limitaciones de este estudio incluyen su naturaleza parcialmente retrospectiva, el uso de datos autoinformados y la falta de diversidad racial entre nuestra cohorte.

CONCLUSIONES

Sin ningún factor clínico que prediga un aumento del consumo, las pautas de prescripción se pueden estandarizar a dieciocho o menos comprimidos de oxicodona de 5 mg en pacientes sometidos a cirugía anorrectal. Como la prescripción se correlaciona con el consumo, se necesita más trabajo para determinar si cantidades menores de opioides prescritos ofrecen un alivio del dolor posoperatorio similar para los pacientes sometidos a cirugía anorrectal. Consulte Video Resumen en http://links.lww.com/DCR/B821 . (Traducción-Juan Carlos Reyes ).

Conceptualizing the Socio-Built Environment: An Expanded Theoretical Framework to Promote a Better Understanding of Risk for Nonmedical Opioid Overdose Outcomes in Urban and Non-Urban Settings

Nonmedical opioid (NMO) use has been linked to significant increases in rates of NMO morbidity and mortality in non-urban areas. While there has been a great deal of empirical evidence suggesting that physical features of built environments represent strong predictors of drug use and mental health outcomes in urban settings, there is a dearth of research assessing the physical, built environment features of non-urban settings in order to predict risk for NMO overdose outcomes. Likewise, there is strong extant literature suggesting that social characteristics of environments also predict NMO overdoses and other NMO use outcomes, but limited research that considers the combined effects of both physical and social characteristics of environments on NMO outcomes. As a result, important gaps in the scientific literature currently limit our understanding of how both physical and social features of environments shape risk for NMO overdose in rural and suburban settings and therefore limit our ability to intervene effectively. In order to foster a more holistic understanding of environmental features predicting the emerging epidemic of NMO overdose, this article presents a novel, expanded theoretical framework that conceptualizes "socio-built environments" as comprised of (a) environmental characteristics that are applicable to both non-urban and urban settings and (b) not only traditional features of environments as conceptualized by the extant built environment framework, but also social features of environments. This novel framework can help improve our ability to identify settings at highest risk for high rates of NMO overdose, in order to improve resource allocation, targeting, and implementation for interventions such as opioid treatment services, mental health services, and care and harm reduction services for people who use drugs.

A modified Delphi process to identify experts' perceptions of the most beneficial and harmful laws to reduce opioid-related harm

BACKGROUND

States have enacted multiple types of laws, with a variety of constituent provisions, in response to the opioid epidemic, often simultaneously. This temporal proximity and variation in state-to-state operationalization has resulted in significant challenges for empirical research on their effects. Thus, expert consensus can be helpful to classify laws and their provisions by their degree of helpfulness and impact.

METHODS

We conducted a four-stage modified policy Delphi process to identify the top 10 most helpful and 5 most harmful provisions from eight opioid-related laws. This iterative consultation with six types of opioid experts included a preliminary focus group (n=12), two consecutive surveys (n=56 and n=40, respectively), and a final focus group feedback session (n=5).

RESULTS

On a scale of very harmful (0) to very helpful (4), overdose Good Samaritan laws received the highest average helpfulness rating (3.62, 95% CI: 3.48-3.75), followed by naloxone access laws (3.37, 95% CI: 3.22-3.51), and pain management clinic laws (3.08, 95% CI: 2.89-3.26). Drug-induced homicide (DIH) laws were rated the most harmful (0.88, 95% CI: 0.66-1.11). Impact ratings aligned similarly, although Medicaid laws received the second highest overall impact rating (3.71, 95% CI: 3.45, 3.97). The two most helpful provisions were naloxone standing orders (3.94, 95% CI: 3.86-4.02) and Medicaid coverage of medications for opioid use disorder (MOUD) (3.89, 95% CI: 3.82). Mandatory minimum DIH laws were the most harmful provision (0.73, 95% CI 0.53-0.93); followed by requiring prior authorization for Medicaid coverage of MOUD (1.00 95% CI: 0.72-1.27).

CONCLUSION

Overall, experts rated laws and provisions that facilitated harm reduction efforts and access to MOUD as most helpful. Laws and provisions rated as most harmful criminalized substance use and placed restrictions on access to MOUD. These ratings provide a foundation for evaluating the overall overdose policy environment for each state.

Coprescribing of opioids and high-risk medications in the USA: a cross-sectional study with data from national ambulatory and emergency department settings

OBJECTIVE

Describe trends in opioid plus high-risk medication coprescribing in the USA.

DESIGN

Analyses of serial, cross-sectional, nationally representative data of the National Ambulatory Medical Care Survey (NAMCS) over 2007-2016 and the National Hospital Ambulatory Medical Care Survey (NHAMCS) over 2007-2018.

SETTING

US ambulatory (NAMCS) and emergency department (ED, NHAMCS) settings.

PARTICIPANTS

Patient visits in which the patient was 18 years and older with an opioid prescription in the NAMCS or NHAMCS databases.

PRIMARY AND SECONDARY OUTCOME MEASURES

Frequency of opioid plus high-risk medication coprescribing.

RESULTS

From a combined sample of 700 499 visits over 2007-2018, there were 105 720 visits (15.1%) where opioids were prescribed. n=31 825 were from NAMCS and n=73 895 were from NHAMCS. The mean prevalence of coprescription of opioids and high-risk medications for the combined NAMCS and NHAMCS sample was 18.4% in 2007, peaked at 33.2% in 2014 and declined to 23.8% in 2016. Compared with adults receiving opioid prescriptions alone, those coprescribed opioids and high-risk medications were older, more likely female, white and using private or Medicare insurance (p<0.0001).

CONCLUSIONS

Coprescribing is more common in ambulatory than ED settings and has been declining, yet one in four patient visits where opioids were prescribed resulted in coprescribed, high-risk medications in 2016. Efforts and research to help lower the rates of high-risk prescribing are needed.

Effects of State Opioid Prescribing Laws on Use of Opioid and Other Pain Treatments Among Commercially Insured U.S. Adults

BACKGROUND

There is concern that state laws to curb opioid prescribing may adversely affect patients with chronic noncancer pain, but the laws' effects are unclear because of challenges in disentangling multiple laws implemented around the same time.

OBJECTIVE

To study the association between state opioid prescribing cap laws, pill mill laws, and mandatory prescription drug monitoring program query or enrollment laws and trends in opioid and guideline-concordant nonopioid pain treatment among commercially insured adults, including a subgroup with chronic noncancer pain conditions.

DESIGN

Thirteen treatment states that implemented a single law of interest in a 4-year period and unique groups of control states for each treatment state were identified. Augmented synthetic control analyses were used to estimate the association between each state law and outcomes.

SETTING

United States, 2008 to 2019.

PATIENTS

7 694 514 commercially insured adults aged 18 years or older, including 1 976 355 diagnosed with arthritis, low back pain, headache, fibromyalgia, and/or neuropathic pain.

MEASUREMENTS

Proportion of patients receiving any opioid prescription or guideline-concordant nonopioid pain treatment per month, and mean days' supply and morphine milligram equivalents (MME) of prescribed opioids per day, per patient, per month.

RESULTS

Laws were associated with small-in-magnitude and non-statistically significant changes in outcomes, although CIs around some estimates were wide. For adults overall and those with chronic noncancer pain, the 13 state laws were each associated with a change of less than 1 percentage point in the proportion of patients receiving any opioid prescription and a change of less than 2 percentage points in the proportion receiving any guideline-concordant nonopioid treatment, per month. The laws were associated with a change of less than 1 in days' supply of opioid prescriptions and a change of less than 4 in average monthly MME per day per patient prescribed opioids.

LIMITATIONS

Results may not be generalizable to non-commercially insured populations and were imprecise for some estimates. Use of claims data precluded assessment of the clinical appropriateness of pain treatments.

CONCLUSION

This study did not identify changes in opioid prescribing or nonopioid pain treatment attributable to state laws.

PRIMARY FUNDING SOURCE

National Institute on Drug Abuse.

Exploring perspectives on changing opioid prescribing practices: A qualitative study of community stakeholders in the HEALing Communities Study

BACKGROUND

Community-based perspectives are needed to more broadly inform policy-makers, public health practitioners, prescribers, and pharmacists about community-led and broader efforts to reduce opioid overprescribing, and ultimately reduce prescription opioid use disorder, overdoses and fatalities. The aim of this study is to explore community-based perspectives on efforts to change opioid prescribing practices in their communities.

METHODS

Semi-structured interviews were conducted with 388 community stakeholders across four states (Kentucky, Massachusetts, New York, Ohio) from November 2019 to January 2020 about community approaches and goals of community-led responses to the opioid crisis. Data analysis combined deductive and inductive approaches to identify themes and sub-themes related to improving opioid prescribing practices.

RESULTS

Three major themes and different subthemes were characterized: (1) acknowledging progress (i.e., healthcare providers being part of the solution, provider education, and prescription drug monitoring programs); (2) emergent challenges (i.e., physician nonadherence with safer opioid prescribing guidelines, difficulty identifying appropriate use of opioids, and concerns about accelerating the progression from opioid misuse to drug abuse); and (3) opportunities for change (i.e., educating patients about safer use and proper disposal of opioids, expanding prescriber and pharmacist education, changing unrealistic expectations around eliminating pain, expanding and increasing insurance coverage for alternative treatment options).

CONCLUSIONS

Community stakeholders appeared to support specific opportunities to reduce prescription opioid misuse and improve safer prescribing. The opportunities included culture change around pain expectations, awareness of safe disposal, additional provider education, and increased coverage and acceptability of non-opioid treatments.

Effects of County-Level Opioid Dispensing Rates on Individual-Level Patterns of Prescription Opioid and Heroin Consumption: Evidence From National U.S. Data

OBJECTIVE

The authors examined directly whether county-level changes in opioid dispensing rates affect individual-level prescription opioid misuse, frequency of use, and dependence, as well as the same outcomes for heroin.

METHODS

Using data from the restricted-access National Survey on Drug Use and Health, the Centers for Disease Control and Prevention's retail opioid prescription database, the Prescription Drug Abuse Policy System, and the U.S. Census, the authors applied fixed-effects models to determine whether county-level dispensing rates affected prescription opioid outcomes as intended and whether changes in rates adversely affected heroin use outcomes. Bayes factors were used to confirm evidence for null findings.

RESULTS

The sample included 748,800 respondents age 12 and older from 2006 to 2016. The odds of prescription opioid misuse, increased frequency of misuse, and dependence were 7.2%, 3.5%, and 10.4% higher, respectively, per standard deviation increase in the county-level opioid dispensing rate per 100 persons. There was no evidence for any association between opioid dispensing rates and the three heroin outcomes. The odds ratio was nonsignificant according to frequentist techniques in fixed-effects models, and Bayesian techniques confirmed very strong support for the null hypothesis.

CONCLUSIONS

County-level opioid dispensing rates are directly associated with individual-level prescription opioid misuse, frequency of misuse, and dependence. Changes in dispensing were not associated with population shifts in heroin use. Reductions in opioid dispensing rates have contributed to stemming prior increases in prescription opioid misuse while not adversely affecting heroin use. Physicians and other health care providers can take action to minimize opioid dispensing for tangible benefits regarding prescription opioid misuse without adverse effects on heroin use.

Medicaid expansion and opioid supply policies to address the opioid overdose crisis

Background: The opioid overdose crisis remains of critical concern after historic increases in overdose mortality in the United States between 2020 and 2021. Improving access to buprenorphine -a partial opioid agonist and one of three FDA-approved medications for opioid use disorder (OUD) treatment- and reducing inappropriate opioid prescriptions may help curb mortality. Here, we examined the impact of Medicaid expansion and pain management clinic laws on opioid prescription rates and buprenorphine availability. Methods: We examined both retail opioid prescriptions per 100 persons in the state population using data from the Centers for Disease Control and Prevention and data on buprenorphine distributions in kilograms per 100,000 persons in the state population from the Automated Reports and Consolidated Ordering System database. We employed difference-in-difference frameworks to estimate the impact of Medicaid expansion on buprenorphine access and retail opioid prescription rates. Models considered three separate treatment variables: Medicaid expansion, pain management clinic ("pill mill") laws, and the interaction of Medicaid expansion and pain management clinic laws. Results: Findings showed that Medicaid expansion was associated with increased access to buprenorphine in expansion states that also employed more stringent supply-side policies, including pain management clinic laws, relative to states that did not implement policies targeting the over-supply of prescription opioids over the same time period. Conclusions. Together, Medicaid expansion and policies limiting inappropriate opioid prescriptions show promise for improving the accessibility of buprenorphine treatment for OUD.

Has Declining Opioid Dispensing to Cancer Patients Been Tailored to Risk of Opioid Harms?

CONTEXT

Opioid prescribing to cancer patients is declining, but it is unknown whether reductions have been tailored to those at highest risk of opioid-related harms.

OBJECTIVES

Examine whether declines in opioid dispensing to patients receiving active cancer treatment are sharper in patients with substance use disorder (SUD) or mental health diagnoses.

METHODS

We used 2008-2018 national, commercial healthcare claims data to examine adjusted and unadjusted trends in opioid dispensing (receipt of ≥1 fill; average daily dosage; receipt of high-dose opioids; receipt of concurrent opioids and benzodiazepines) to patients ages ≥18 receiving treatment for one of four cancer types (breast; colorectal; head and neck; sarcoma; N = 324,789 patients). To compare declines across subgroups with varying risk of opioid-related harms, we stratified by SUD and mental health diagnosis. To address potential confounding, we estimated subgroup-specific trends using generalized estimating equations, adjusting for covariates.

RESULTS

Across groups, rate of ≥1 opioid fill per quarter fell 32.5% (95% CI: 31.8%-33.2%) from 2008 to 2018; daily dose among those receiving opioids fell 37.6% (95% CI: 36.7%-38.6%). In most cases, these declines were not sharper in subgroups at greater risk of opioid-related harms. For example, patients with opioid use disorder experienced the smallest declines in dispensing frequency, and there was no evidence that declines were sharper in patients with mental health diagnoses.

CONCLUSION

Sharp declines in opioid prescribing during the drug overdose crisis have affected a wide range of patients undergoing cancer treatment and may not have been sufficiently tailored to patient characteristics. Research on implications for opioid-related harms and pain management is needed.

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Preoperative Opioid Informed Consent and Prescribing Practices in Children Undergoing Orthopaedic Trauma Surgery

This study sought to examine prescribing practices for pediatric patients undergoing orthopaedic trauma surgery and assess the effect of state-mandated preoperative informed consent for opioids.

Association Between Statewide Opioid Prescribing Interventions and Opioid Prescribing Patterns in North Carolina, 2006-2018

OBJECTIVE

To examine the impact of three sequential statewide policy and legislative interventions on opioid prescribing practices among privately insured individuals in North Carolina.

METHODS

An interrupted time series approach was used to examine level and trajectory changes of new and prevalent opioid prescription rates, days' supply, and daily morphine milligram equivalents before and after implementation of a 1) prescription drug monitoring program, 2) state medical board initiative, and 3) legislative action. Analyses were conducted using individual-level claims data from a large private health insurance provider serving North Carolina residents, ages 18-64 years, from January 2006 to August 2018.

RESULTS

Rates of new and prevalent prescription opioid patients were relatively unaffected by the prescription monitoring program but sharply declined in the months immediately following both medical board (-3.7 new and -19.3 prevalent patients per 10,000 person months) and legislative (-14.1 new and -26.7 prevalent patients) actions. Among all opioid prescriptions, days' supply steadily increased on average over the study period but declined after legislative action (-1.5 days' supply per year).

CONCLUSIONS

The voluntary prescription drug monitoring program launched in 2010 only marginally affected opioid prescribing patterns on its own, but its redeployment as an investigative and clinical tool in multifaceted public policy approaches by the state medical board and legislature later in the decade plausibly contributed to notable declines in prescription rates and days' supply. This study lends new emphasis to the importance of enforcement mechanisms for state and national policies seeking to reverse this critical public health crisis.

Opioid analgesic prescribing for opioid-naïve individuals prior to identification of opioid use disorder in British Columbia, Canada

BACKGROUND AND AIMS

Prescription opioid analgesics have contributed to the development of opioid use disorder (OUD) in many individuals. We aimed to characterize non-cancer opioid prescribing for opioid-naive individuals prior to OUD identification.

DESIGN

Population-based retrospective cohort study using six linked health administrative databases.

SETTING

British Columbia (BC), Canada.

PARTICIPANTS

People with OUD between 1 January 2001 and 30 September 2018 who initiated opioid analgesic therapy for non-cancer pain prior to OUD identification.

MEASUREMENTS

Dose (morphine milligram equivalent per day), days prescribed and clinical guideline non-concordance for initial opioid prescriptions (dose ≥ 90 morphine milligram equivalent per day; ≥ 7 days prescribed; concomitant sedative prescription). We estimated the probability of non-concordant initial prescriptions by source (inpatient post-discharge, non-inpatient acute, non-acute) using logistic regression, adjusting for individual characteristics and comorbidities.

FINDINGS

Among 66 372 individuals identified with OUD from 2001 to 2018, 21 331 (32.1%) received opioid analgesics prior to OUD identification. This proportion increased from 3.0% in 2001 to 41.0% in 2011, before decreasing to 34.2% in 2017. Roughly half of opioid prescriptions were attributed to non-acute care visits, peaking at 56.8% in 2007, while the proportion from inpatient visits increased from 19.7% in 2001 to 28.5% in 2017. The predicted probability of receiving non-guideline concordant prescriptions declined over time-periods across all three measures for inpatient and non-inpatient acute care, while remaining stable for non-acute care. In particular, the predicted probability of receiving ≥ 7-day prescriptions following inpatient visits decreased from 53.3% [95% confidence interval (CI) = 50.9, 55.8%] in 2001-06 to 37.2% (95% CI = 33.9, 40.5%) in 2013-18.

CONCLUSIONS

Among the 66 372 individuals in British Columbia, Canada diagnosed with opioid use disorder between 2001 and 2018, more than 32% were earlier prescribed non-cancer opioid analgesics. The proportion who had received an opioid analgesic prescription prior to OUD identification peaked at more than 40% in 2011, before stabilizing between 2011 and 2016 and declining thereafter. Guideline concordance improved over time for high-dose and concomitant sedative prescribing.

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

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

Evaluation of Factors Relevant to Pain Control Among Patients After Surgical Treatment

IMPORTANCE

Opioids are often prescribed after elective surgical treatment despite the potential for misuse. Although various pain control regimens exist, patient preferences for acute postoperative pain management are unknown.

OBJECTIVE

To describe patient-reported key attributes of postoperative pain management.

DESIGN, SETTING, AND PARTICIPANTS

This decision analytical model used responses from a survey based on conjoint analysis to investigate the value patients placed on different aspects of postoperative pain management. Participants were patients aged 18 years or older who underwent elective hand surgical procedures between July 1, 2018, and July 23, 2019, at a single academic center. The survey was completed on a web-based platform and took place between November 2019 and January 2020. Data were analyzed from May through July 2021.

EXPOSURES

Participants were presented with a series of discrete-choice tasks and asked to select between 2 postoperative medication options that changed from question to question and had varying characteristics.

MAIN OUTCOMES AND MEASURES

Attribute importance scores and part-worth utility values for the queried aspects of pain control were calculated.

RESULTS

Of 710 individuals invited, 321 (45.2%) completed the survey; there were 212 (66.0%) women and 108 (33.6%) men, and the most common age category was 60 to 69 years (102 participants [31.8%]). Most patients reported previous opioid use (282 individuals [87.9%]). Factors in the decision-making process with the highest attribute importance scores (SDs) were risk of addiction (26.3% [13.0%]) and amount of pain relief (25.6% [14.6%]). Adverse effects 13.9% (7.2%), functional independence 11.8% (7.3%), and level of trust in the prescriber 11.4% (5.8%) had intermediate attribute importance scores (SDs). Cost 7.9% (4.4%) and stigma 3.1% (1.3%) had the lowest attribute importance scores (SDs) in patient decisions.

CONCLUSIONS AND RELEVANCE

These findings suggest that multimodal pain control regimens that are associated with optimized pain relief and minimized risk of addiction are preferable to treat acute postoperative pain. The results suggest that identifying procedures for which patients prioritize minimizing risk of addiction over pain relief and incorporating patient preferences into decision-making may be associated with decreased postoperative opioid prescribing.

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

OBJECTIVE

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

DATA SOURCES

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

STUDY DESIGN

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

DATA COLLECTION/EXTRACTION METHODS

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

PRINCIPAL FINDINGS

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

CONCLUSIONS

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

Preventing Prescription Drug Abuse: A Pharmacy Technician Tool Kit

The misuse of prescription medications in the United States is a worsening public health problem. Pharmacy technicians are often the first pharmacy staff member to receive newly dropped off prescriptions and to interact with patients in the pharmacy. Having a tool kit of the knowledge and skills needed to distinguish prescriptions that may result in misuse from the legitimate ones and to respond appropriately and professionally to each is essential to pharmacy technicians performing their role and function in the dispensing process.

Fatal opioid overdoses in the U.S. declined more than reported between 2017 and 2018

Background: In U.S. death records, many drug overdoses do not have classified drug involvement, which challenges surveillance of opioid overdoses across time and space.Objective: To estimate the 2017-2018 change in opioid overdose deaths that accounts for probable opioid involvement in unclassified drug overdose deaths.Methods: In this retrospective design study, data on all drug overdose decedents from 2017-2018 in the U.S. were used to calculate the year-to-year change in known opioid overdoses, predict opioid involvement in unclassified drug overdoses, and estimate the year-to-year change in corrected opioid overdoses, which include both known and predicted opioid deaths. We used the Multiple Cause of Death (MCOD) data from CDC.Results: We estimated that the decrease in the age-adjusted opioid overdose death rate from 2017-2018 was 7.0%. There is a striking variation across states. Age-adjusted opioid overdose death rates decreased by 9.9% in Ohio and more than 5.0% in other Appalachian states (Pennsylvania, West Virginia, Kentucky), while they increased by 6.8% in Delaware.Conclusions: Our models suggest that opioid overdose-related mortality declined from 2017 to 2018 at a higher rate than reported (7.0% versus than the reported 2.0%), potentially indicating that clinical efforts and federal, state, and local government policies designed to control the epidemic have been effective in most states. Our local area estimates can be used by researchers, policy-makers and public health officials to assess effectiveness of state policies and interventions in smaller jurisdictions implemented in response to the crisis.

State Legislators' Divergent Social Media Response to the Opioid Epidemic from 2014 to 2019: Longitudinal Topic Modeling Analysis

BACKGROUND

The opioid epidemic is widely recognized as a legislative priority, but there is substantial variation in state adoption of evidence-based policy. State legislators' use of social media to disseminate information and to indicate support for specific initiatives continues to grow and may reflect legislators' openness to opioid-related policy change.

OBJECTIVE

We sought to identify changes in the national dialogue regarding the opioid epidemic among Democratic and Republican state legislators and to estimate changing partisanship around understanding and addressing the epidemic over time.

DESIGN

Longitudinal natural language processing analysis.

PARTICIPANTS

A total of 4083 US state legislators in office between 2014 and 2019 with any opioid-related social media posts.

MAIN MEASURES

Association between opioid-related post volume and state overdose mortality, as measured by Kendall's rank correlation coefficient. Latent Dirichlet allocation analysis of all social media posts to identify key opioid-related topics. Longitudinal analysis of differences in the prevalence of key topics among Democrats and Republicans over time.

KEY RESULTS

In total, 43,558 social media posts met inclusion criteria, with the vast majority to Twitter (n=28,564; 65.6%) or Facebook (n=14,283; 32.8%). Posts were more likely to mention fentanyl and less likely to mention heroin over time. The volume of opioid-related content was positively associated with state-level unintentional overdose mortality among both Democrats (tau=0.42, P<.001) and Republicans (tau=0.39, P<.001). Democrats' social media content has increasingly spoken to holding pharmaceutical companies accountable, while Republicans' social media content has increasingly spoken to curbing illicit drug trade. Overall, partisanship across topics increased from 2016 to 2019.

CONCLUSION

The volume of opioid-related social media posts by US state legislators between 2014 and 2019 is associated with state-level overdose mortality, but the content across parties is significantly different. Democrats' and Republicans' social media posts may reflect growing partisanship regarding how best to address the overdose epidemic.