Prescription Opioid Overdose Deaths Research Articles

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

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

Comparing the effects of decreasing prescription opioid shipments and the release of an abuse deterrent OxyContin formulation on opioid overdose fatalities in WV: an interrupted time series study

IntroductionThe 2010 release of an abuse deterrent formulation (ADF) of OxyContin, a brand name prescription opioid, has been cited as a major driver for the reduction in prescription drug misuse and the associated increasing illicit opioid use and overdose rates. However, studies of this topic often do not account for changes in supplies of other prescription opioids that were widely prescribed before and after the ADF OxyContin release, including generic oxycodone formulations and hydrocodone. We therefore sought to compare the impact of the ADF OxyContin release to that of decreasing prescription opioid supplies in West Virginia (WV).MethodsOpioid tablet shipment and overdose data were extracted from The Washington Post ARCOS (2006–2014) and the WV Forensic Drug Database (2005–2020), respectively. Locally estimated scatterplot smoothing (LOESS) was used to estimate the point when shipments of prescription opioids to WV began decreasing, measured via dosage units and morphine milligram equivalents (MMEs). Interrupted time series analysis (ITSA) was used to compare the impact LOESS-identified prescription supply changes and the ADF OxyContin release had on prescription (oxycodone and hydrocodone) and illicit (heroin, fentanyl, and fentanyl analogues) opioid overdose deaths in WV. Model fit was compared using Akaike Information Criteria (AIC).ResultsThe majority of opioid tablets shipped to WV from 2006 to 2014 were generic oxycodone or hydrocodone, not OxyContin. After accounting for a 6-month lag from ITSA models using the LOESS-identified change in prescription opioid shipments measured via dosage units (2011 Q3) resulted in the lowest AIC for both prescription (AIC = -188.6) and illicit opioid-involved overdoses (AIC = -189.4), indicating this intervention start date resulted in the preferred model. The second lowest AIC was for models using the ADF OxyContin release as an intervention start date.DiscussionWe found that illicit opioid overdoses in WV began increasing closer to when prescription opioid shipments to the state began decreasing, not when the ADF OxyContin release occurred. Similarly, the majority of opioid tablets shipped to the state for 2006–2014 were generic oxycodone or hydrocodone. This may indicate that diminishing prescription supplies had a larger impact on opioid overdose patterns than the ADF OxyContin release in WV.

Understanding the differential effect of local socio-economic conditions on the relation between prescription opioid supply and drug overdose deaths in US counties.

Both local socio-economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio-economic conditions. Ecological county-level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county-years) using annual mortality data. United States. A total of 711 447 drug overdose deaths. We modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio-economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue-collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing). Drug overdose deaths and all substance-specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09-1.13], Rey index (aORs = 1.15-1.21) and prescription opioid supply (aORs = 1.14-1.21), and lower in counties with higher HDI scores (aORs = 0.75-0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties. In the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths.

Fatal opioid overdoses geospatially cluster with level 1 trauma centers in Ohio

ObjectiveOhio is consistently ranked as one of the worst states for opioid overdose deaths. Traumatic injury has been linked to opioid overdose deaths, yet the location of trauma centers has not been explored. We examined whether geospatial clustering occurred between county-level opioid overdose deaths (OODs) and trauma center levels. MethodsWe obtained 2019 county-level data from the Ohio Department of Health for fatal overdoses from prescription opioids. We obtained the total number of opioid doses prescribed in 2019 per county from the Ohio Automated Rx Reporting System and American College of Surgeons designated trauma center locations within Ohio from their website. We used geospatial analysis to assess if clustering occurred between trauma center level and prescription opioid overdose deaths at a county level. ResultsThere were 42 trauma centers located within 21 counties: 7 counties had level 1, and 14 counties had only level 2/level 3. There was no difference in rates of opioid doses prescribed per 100,000 people between counties with level 1 trauma centers and only level 2/level 3. However, prescription OODs rates were significantly higher in counties with level 1 trauma centers (37.6 vs 20, P = .02). Geospatial clustering was observed between level 1 trauma centers and prescription opioid overdose deaths at the county level (P < .01). ConclusionGeospatial clustering exists between prescription OODs and level 1 trauma center locations in Ohio. Improved at-risk patient identification and targeted community outreach represent opportunities for trauma providers to tackle the opioid epidemic.

The Effect of Preoperative Benzodiazepine Usage on Postoperative Opioid Consumption After Hand Surgery: A Multicenter Analysis.

Background Prescription rates of opioids and benzodiazepines have steadily increased in the last decadewith the percentage of prescription opioid overdose deaths involving benzodiazepines more than doubling during that time. Orthopaedic surgery is one of the highest-volume opioid prescribing medical specialties, but the effects of benzodiazepine use on orthopaedic surgery patient outcomes are not well understood. The purpose of the study was to utilize the state Prescription Drug Monitoring Program (PDMP) database to investigate if perioperative benzodiazepine use predisposes patients to prolonged opioid use following hand and upper extremity orthopaedic surgery. Methods This study was retrospective and conducted at three urban academic institutions. All patients who underwent carpal tunnel release, thumb basal joint arthroplasty, and distal radius fracture open reduction internal fixation performed by 14 board-certified, fellowship-trained orthopaedic hand and upper extremity surgeons between April 2018 and August 2019, were collected via a database query. All opioid and benzodiazepine prescriptions were collected from three months preoperatively to six months postoperatively. Results In this study, 634 patients met the inclusion criteria presented to one of the three institutions during the 18-month study period. Patients consisted of 276 carpal tunnel releases, 217 distal radius fracture open reduction internal fixations, and 141 thumb basal joint arthroplasties. Benzodiazepine users were 14.6% more likely to fill an additional opioid prescription (p<0.005) and were 10.8% more likely to experience prolonged three to six-month postoperative opioid use (p<0.005). Conclusion This study found that patients who use benzodiazepines are at a higher risk of filling additional opioid prescriptions and prolonged opioid use following hand and upper extremity surgery. Prescribers should take this into account when prescribing opioids after upper extremity orthopaedic surgery.

Overdose, opioid treatment admissions and prescription opioid pain reliever relationships: United States, 2010-2019.

Background“As part of the U.S. government's urgent response to the epidemic of overdose deaths (1)” the United States Centers for Disease Control and Prevention (CDC) issued the “CDC Guideline for Prescribing Opioids for Chronic Pain-United States, 2016 (2)” (guideline) followed by the “CDC Clinical Practice Guideline for Prescribing Opioids–United States, 2022 (3) (guideline update). ” The guideline and guideline update cite a direct correlation between prescription opioids sales (POS) and opioid treatment admissions (OTA) and prescription opioid deaths (POD), which was based on data from 1999 to 2010. This paper updates those relationships and includes the correlations between prescription opioid sales (POS) and any opioid deaths (AOD) and total overdose deaths (TOD) from 2010 to 2019.MethodsLinear regression models were fit to each response separately. Opioid sales (measured as MME (morphine milligram equivalent) per capita) was the independent variable. Total overdose deaths (TOD), any opioid overdose deaths (AOD), prescription opioid overdose deaths (POD) and opioid treatment admissions (OTA) were the dependent, response variables. The models were assessed using three criteria: the statistical significance of the model (Overall P-Value), the quality of the fit (R2), and the sign of the slope coefficient (positive or negative).ResultsThe analyses revealed that the direct correlations (i.e., significant, positive slopes) reported by the CDC based on data from 1999 to 2010 no longer exist. Based on data from 2010 to 2019, the relationships either have reversed (i.e., significant, negative slopes) or are non-existent (i.e., no significant model).ConclusionsThe guideline, guideline update, CDC's public, medical profession, and intergovernmental communications should be corrected/updated to state no direct correlation has existed between POS to OTA, POD, AOD, and TOD since 2010. Individualized patient care and public health policy should be amended accordingly.

The cost and impact of distributing naloxone to people who are prescribed opioids to prevent opioid-related deaths: findings from a modelling study.

Although most opioid-related mortality in Australia involves prescription opioids, most research to understand the impact of naloxone supply on opioid-related mortality has focused upon people who inject heroin. We aimed to examine the cost and probable impact of up-scaling naloxone supply to people who are prescribed opioids. Decision-tree model. Four scenarios were compared with a baseline scenario (the current status quo): naloxone scale-up between 2020 and 2030 to reach 30 or 90% coverage by 2030, among the subgroups of people prescribed either ≥ 50 or ≥ 100 mg of oral morphine equivalents (OME). Australia. People who are prescribed opioids. Possible deaths averted, costs (ambulance and naloxone distribution) and cost per life saved for different scenarios of naloxone scale-up. Maintaining the status quo, there would be an estimated 7478 [uncertainty interval (UI) = 6868-8275] prescription opioid overdose deaths between 2020 and 2030, resulting in Australian dollars (A$)51.9 million (49.4, 56.0) in ambulance costs. If naloxone were scaled-up to 90% of people prescribed > 50 mg OME, an estimated 657 (UI = 245, 1489) deaths could be averted between 2020 and 2030 (a 20% reduction in the final year of the model compared with the no naloxone scenario), with a cost of A$43 600 (20 800-110 500) per life saved. If naloxone were scaled-up to 30% of people prescribed > 50 mg OME an estimated 219 (82-496) deaths could be averted with the same cost per live saved. If naloxone were restricted to those prescribed > 100 mg OME, an estimated 130 (UI = 44-289) deaths would be averted if scaled-up to 30% or 390 (UI = 131-866) deaths averted if scaled-up to 90%, with the cost per life saved for both scenarios A$38 200 (UI = 12 400-97 400). In Australia, scaling-up take-home naloxone by 2030 to reach 90% of people prescribed daily doses of ≥ 50 mg of oral morphine equivalents would be cost-effective and save more than 650 lives.

Impacts of prescription drug monitoring program policy changes and county opioid safety coalitions on prescribing and overdose outcomes in California, 2015–2018

In 2015, California received funding to implement the Prescription Drug Overdose Prevention Initiative, a 4-year program to reduce deaths involving prescription opioids by 1) leveraging improvements to California's prescription drug monitoring program (PDMP) (i.e., mandatory PDMP registration for prescribers and pharmacists), and 2) supporting county opioid safety coalitions. We used statewide data from 2011 to 2018 to evaluate the Initiative's impact on opioid prescribing and overdose rates. Prescribing data were obtained from California's PDMP; fatal and non-fatal overdose data were obtained from the California Department of Public Health. Outcomes were monthly opioid prescribing rates and opioid overdose rates, modeled using generalized linear mixed models. Exposures were mandatory PDMP registration, presence of county coalitions, and Initiative support for county coalitions. Mandatory PDMP registration was associated with a 25% decrease (95%CI, 0.71–0.79) in opioid prescribing rates after 24 months. Having a county coalition was associated with a 2% decrease (95%CI, 0.96–0.99) in the opioid prescribing rate; receiving Initiative support was associated with an additional 2% decrease (95%CI, 0.97–0.98). Mandatory PDMP registration and county coalitions were associated with a 35% decrease (95%CI, 0.43–0.97) and a 21% decrease (95% CI, 0.70–0.90), respectively in prescription opioid overdose deaths. Both interventions were also associated with significantly fewer deaths involving any opioid but had no significant association with non-fatal overdose rates. Findings add to the knowledge available to guide policy to prevent high-risk prescribing and opioid overdoses. While further study is needed, coalitions and mandatory PDMP registration may be important components in such efforts.

What Your Death Certificate Says About You May Be Wrong: A Narrative Review on CDC's Efforts to Quantify Prescription Opioid Overdose Deaths.

Mortality data in most countries are reported using the International Classification of Diseases (ICD), managed by the WHO. In this paper, we show how the ICD is ill-suited for classifying drug-involved deaths, many of which involve polysubstance abuse and/or illicitly manufactured fentanyl (IMF).Opioids identified in death certificates are categorized according to six ICD T-codes: opium (T40.0), heroin (T40.1), methadone (T40.3), other synthetic narcotics (T40.4), and other and unspecified narcotics (T40.6). Except for opium, heroin, and methadone, all other opioids except those that are unspecified are aggregated in two T-codes (T40.2 and T40.4), depending upon whether they are natural/semisynthetic or synthetic opioids other than methadone. The result is a system that obscures the actual cause of most drug overdose deaths and, instead, just tallies the number of times each drug is mentioned in an overdose situation.We examined the CDC’s methodology for coding other controlled substances according to the ICD and found that, besides fentanyl, the ICD does not distinguish between other licit and illicitly manufactured controlled substances. Moreover, we discovered that the CDC codes all methadone-related deaths as resulting from the prescribed form of the drug. These and other anomalies in the CDC’s mortality reporting are discussed in this report.We conclude that the CDC was at fault for failing to correct the miscoding of IMF. Finally, we briefly discuss some of the public policy consequences of this error, the misguided focus by public health and safety officials on pharmaceutical opioids, their prescribers and users, and the pressing necessity for the CDC to reassess how it measures and reports drug-involved mortality.

CDC's Efforts to Quantify Prescription Opioid Overdose Deaths Fall Short.

In a 2018 report titled, Quantifying the Epidemic of Prescription Opioid Overdose Deaths, four senior analysts of the Centers for Disease Control and Prevention (CDC), including the head of the Epidemiology and Surveillance Branch, acknowledged for the first time that the number of prescription opioid overdose deaths reported by the CDC in 2016 was erroneous. The error, they said, was caused by miscoding deaths involving illicitly manufactured fentanyl (IMF) as deaths involving prescribed fentanyl. To understand what caused this error, the authors examined the CDC’s methodology for compiling drug-related mortality data, beginning with the source data obtained from approximately 2.8 million death certificates received each year from state vital statistics registrars. Systemic problems often begin outside the CDC, with a surprisingly high rate of errors and omissions in the source data. Using the CDC’s explanation for what caused the error, the authors show why an international program used by the CDC for reporting mortality is ill-suited for compiling and reporting drug overdose deaths. Except for heroin, methadone, and opium, each of which has an individual program code, all other opioids are separated in just two program codes according to whether they are synthetic or semisynthetic/opiates. Methadone-involved deaths pose a special problem for the CDC because methadone has dual indications for treating pain and for treating opioid use disorder (OUD). In 2019, more than seven times more methadone was administered or dispensed for OUD treatment than was prescribed for pain, yet all methadone-involved deaths are coded by the CDC as involving the prescribed form of the drug. The authors conclude that the CDC was at fault for failing to recognize and correct this problem before 2016. Public policy consequences of this failure are briefly mentioned.

Nonmedical Use of Prescription Opioids, Heroin Use, Injection Drug Use, and Overdose Mortality in U.S. Adolescents

We assessed overdose mortality by opioid types involved as well as interrelationships between nonmedical use of prescription opioids (NUPO) and heroin and injection drug use (IDU) among adolescents. We examined 2010 and 2016 overdose data by drug type for decedents in the United States ages 15-19 years from the Multiple Cause of Death Files. We also analyzed data from the 2017 National Youth Risk Behavior Survey, a nationally representative survey of high school students. We assessed lifetime NUPO and calculated heroin use and IDU by frequency of lifetime NUPO. Adjusted prevalence ratios (aPRs) were generated, and linear contrast analysis determined dose-response relationships between frequency of lifetime NUPO and the two outcomes. The percentage of deaths involving prescription opioids that also involved illicit opioids such as heroin or fentanyl was 5.5% in 2010 and 25.0% in 2016. We observed a positive dose-response relationship with frequency of lifetime NUPO; aPRs were highest for 20 or more times of NUPO and heroin use (aPR = 49.49, 95% CI [33.39, 73.34]) and IDU (aPR = 44.37, 95% CI [23.16, 84.99]). However, aPRs for heroin and IDU were high even among those reporting just one or two occasions of NUPO (aPRs = 9.25, 95% CI [5.90, 14.49] and 6.63, 95% CI [3.99, 11.02], respectively). Adolescent prescription opioid overdose deaths now frequently involve illicit opioids. Heroin use and IDU are higher among students reporting even a few instances of NUPO, indicating that students with any NUPO are an important risk group. Clinical, community, and school-based efforts can address NUPO, noting these associations.

Effect of State Policy Changes in Florida on Opioid-Related Overdoses

With a rapid increase in prescription opioid overdose deaths and a proliferation of pain clinics in the mid-2000s, Florida emerged as an epicenter of the opioid overdose epidemic. In response, Florida implemented pain clinic laws and operationalized its Prescription Drug Monitoring Program. This study examines the effect of these policies on rates of inpatient stays and emergency department visits for opioid-related overdoses. Using data from the 2008-2015 State Emergency Department Databases and State Inpatient Databases, quarterly rates of inpatient stays and emergency department visits for prescription opioid-related overdoses and heroin-related overdoses were computed. A comparative interrupted time series analysis examined the effect of these policies on opioid overdose rates. North Carolina served as a control state because it did not implement similar policies during the study period. The data were analyzed in 2019. Compared with North Carolina, Florida's polices were associated with reductions in the rates of prescription opioid-related overdose inpatient stays and emergency department visits, a level reduction of 2.31 per 100,000 and a reduction in the trend of 0.16 per 100,000 population each quarter. The policies were associated with a reduction of 13,532 inpatient stays and emergency department visits for prescription opioid-related overdoses during the study period. No statistically significant association was found between the policies and heroin-related overdose inpatient stays and emergency department visits. To address the opioid overdose epidemic, states have implemented policies such as Prescription Drug Monitoring Programs and pain clinic laws designed to reduce inappropriate opioid prescribing. Such laws may be effective in reducing prescription opioid-related overdoses.

Opioid Prescribing Patterns Before Fatal Opioid Overdose

Although opioid prescribing has decreased since 2010, overdose deaths involving illicit opioids have continued to rise. This study explores prescribing patterns before fatal overdose of decedents who died of prescription and illicit opioid overdoses. This retrospective cohort study was conducted in 2019 and included all 1,893 Illinois residents who died of an opioid-related overdose in 2016. Each decedent was linked to any existing Prescription Monitoring Program records, calculating weekly morphine milligram equivalents for 52 weeks before overdose. Among the 1,893 fatal opioid overdoses, 309 involved any prescription opioid and 1,461 involved illicit opioids without the involvement of prescription opioids. The death rate because of illicit opioids was 23/100,000 among black residents versus 10.5/100,000 among whites. During the last year of life, 76% of prescription opioid decedents filled any opioid prescription totaling 10.7 prescriptions per decedent, compared with 36% of illicit opioid decedents totaling 2.6 prescriptions per decedent. During the last week of life, 33% of prescription opioid decedents filled an opioid prescription totaling 0.42 prescriptions per decedent, compared with 4% of illicit opioid decedents totaling 0.05 prescriptions per decedent. Prescribing patterns alone may not be sufficient to identify patients who are at high risk for opioid overdose, especially for those using illicit opioids. Interventions aimed at reducing opioid overdoses should take into account different patterns of opioid prescribing associated with illicit and prescription opioid overdose deaths and be designed around the local characteristics of the opioid overdose epidemic.

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

In the US, benzodiazepine overdose deaths increased at an alarming rate in the past two decades. Benzodiazepines were also the most common drugs involved in prescription opioid overdose deaths. Benzodiazepine prescribing has been monitored by Prescription Drug Monitoring Programs (PDMPs), but little was known about whether PDMPs reduced drug overdose deaths involving benzodiazepines. This study used a difference-in-difference design with state-quarter aggregate data on drug overdose deaths. The primary data source was Mortality Multiple Cause Files in 1999-2016. Three age-adjusted rates of drug overdose deaths were examined, including those involving benzodiazepines, those involving prescription opioids, and those involving both benzodiazepines and prescription opioids. The policy variables included PDMP data access for benzodiazepines and mandatory use of PDMP data for benzodiazepines. Linear multivariable regressions were used to assess the associations of PDMP policies specific to benzodiazepines with drug overdose death rates, controlling for other state-level policy and socioeconomic factors, state and time fixed effects, and state-specific time trends. No significant associations were found between PDMP data access for benzodiazepines and changes in drug overdose death rates involving benzodiazepines and/or prescription opioids. Similarly, no significant associations were found between mandatory use of PDMP data for benzodiazepines and changes in drug overdose death outcomes. This study suggested no evidence that PDMP policies specific to benzodiazepines were associated with reduction in benzodiazepine overdose death rates. Future research is warranted to examine detailed features of PDMPs and continuously monitor the impacts of PDMP policies on benzodiazepine-related consequences.

Using the CA Opioid Overdose Surveillance Dashboard to track opioid overdose deaths

Using the CA Opioid Overdose Surveillance Dashboard to track opioid overdose deaths

Effect of pill mill laws on opioid overdose deaths in Ohio & Tennessee: A mixed-methods case study

Pill mill laws impose strict regulations on pain management clinics to prevent them from issuing opioid prescriptions without medical indication. To date, little is known about the implementation or effects of these laws on opioid overdose deaths. A previously untested concern is that by restricting access to prescription opioids, pill mill laws could increase overdose from heroin and synthetic opioids, like illicitly produced fentanyl. We evaluated the effects of pill mill laws on opioid overdose deaths in Ohio and Tennessee. Of the 11 total U.S. states with pill mill laws, Ohio and Tennessee were the only two where: (1) the pill mill law was the only state law designed to curb opioid prescribing implemented in a two-year period, one-year pre/post law; and (2) high-quality drug-specific overdose death data were available from CDC. We conducted synthetic control analyses examining differences in post-pill mill law trends in overdose deaths in Ohio and Tennessee compared to weighted combinations of comparison states. We also conducted qualitative interviews with 11 leaders responsible for pill mill law implementation and enforcement in Ohio and Tennessee. Pill mill law enactment had no effects on overall, prescription opioid, heroin, or synthetic opioid overdose deaths in Ohio or Tennessee. Interview results suggest that both states engaged in robust enforcement and implementation of the law. A multi-pronged policy approach, including but not limited to pill mill laws, may be required to effectively address opioid overdose deaths.

Integrating Public Health and Health Care Strategies to Address the Opioid Epidemic: The Oregon Health Authority's Opioid Initiative.

Oregon is experiencing an opioid overdose epidemic, similar to the United States as a whole. To address this crisis, the Oregon Health Authority (OHA) implemented a strategic Opioid Initiative, convening stakeholders and integrating public health and health care system activities across sectors. Recent data indicate progress: from 2015 to 2016, Oregon had the sharpest decline in prescription opioid overdose deaths of any state. The Opioid Initiative, launched in 2015, focuses on integrating efforts to improve patient care and safety, and population health, by increasing access to nonopioid pain treatment, supporting medication-assisted treatment and naloxone access for people taking opioids, decreasing opioid prescribing, and using data to inform policies and interventions. Four OHA projects highlight the integration: (1) a Medicaid Coordinated Care Organization Performance Improvement Project focused on decreasing risky opioid prescribing; (2) Health Evidence Review Commission guidelines that set coverage standards for opioid and nonopioid back pain treatments for Medicaid recipients; (3) statewide opioid prescribing guidelines; and (4) an opioid data dashboard. Each project involves a partnership between governmental public health, public and private health care systems, and external stakeholders. From 2015 to 2017, the number of Oregonians on 90 or more Morphine Equivalent Doses (MEDs) decreased by 37%, from 11.1 per 1000 residents quarterly to 7.0 per 1000 residents quarterly. Prescription opioid overdose deaths decreased 20% from 4.5 per 100 000 in 2015 to 3.6 per 100 000 in 2016. Within the Medicaid population, the percentage of clients on 120 or more MEDs for 30 consecutive days decreased 27%, from 2.3% in December 2015 to 1.6% in September 2017. Oregon's integrated approach to address the opioid crisis spans public health and health care systems, engages key stakeholders, and uses data and evidence to inform policies. The progress to date is promising and may assist other states seeking to identify effective strategies to decrease opioid prescribing, misuse, and overdose.

Dual Receipt of Prescription Opioids From the Department of Veterans Affairs and Medicare Part D and Prescription Opioid Overdose Death Among Veterans: A Nested Case-Control Study.

More than half of enrollees in the U.S. Department of Veterans Affairs (VA) are also covered by Medicare and can choose to receive their prescriptions from VA or from Medicare-participating providers. Such dual-system care may lead to unsafe opioid use if providers in these 2 systems do not coordinate care or if prescription use is not tracked between systems. To evaluate the association between dual-system opioid prescribing and death from prescription opioid overdose. Nested case-control study. VA and Medicare Part D. Case and control patients were identified from all veterans enrolled in both VA and Part D who filled at least 1 opioid prescription from either system. The 215 case patients who died of a prescription opioid overdose in 2012 or 2013 were matched (up to 1:4) with 833 living control patients on the basis of date of death (that is, index date), using age, sex, race/ethnicity, disability, enrollment in Medicaid or low-income subsidies, managed care enrollment, region and rurality of residence, and a medication-based measure of comorbid conditions. The exposure was the source of opioid prescriptions within 6 months of the index date, categorized as VA only, Part D only, or VA and Part D (that is, dual use). The outcome was unintentional or undetermined-intent death from prescription opioid overdose, identified from the National Death Index. The association between this outcome and source of opioid prescriptions was estimated using conditional logistic regression with adjustment for age, marital status, prescription drug monitoring programs, and use of other medications. Among case patients, the mean age was 57.3 years (SD, 9.1), 194 (90%) were male, and 181 (84%) were non-Hispanic white. Overall, 60 case patients (28%) and 117 control patients (14%) received dual opioid prescriptions. Dual users had significantly higher odds of death from prescription opioid overdose than those who received opioids from VA only (odds ratio [OR], 3.53 [95% CI, 2.17 to 5.75]; P< 0.001) or Part D only (OR, 1.83 [CI, 1.20 to 2.77]; P= 0.005). Data are from 2012 to 2013 and cannot capture prescriptions obtained outside the VA or Medicare Part D systems. Among veterans enrolled in VA and Part D, dual use of opioid prescriptions was independently associated with death from prescription opioid overdose. This risk factor for fatal overdose among veterans underscores the importance of care coordination across health care systems to improve opioid prescribing safety. U.S. Department of Veterans Affairs.

The association between county-level safety net treatment access and opioid hospitalizations and mortality in New York

BackgroundIncreases in pharmaceutical opioid sales have paralleled the quadrupling of prescription opioid overdose deaths and spikes in emergency department visits for non-medical opioid prescription overdoses. In response, federal and state governments have advanced a myriad of policies to reduce opioid availability and increase treatment access, aimed to ultimately reduce opioid-related mortality. Despite these efforts, including ACA Medicaid expansion and more robust prescription drug monitoring programs, opioid-related mortality has continued to rise in NY and 29 other states. This study examined whether geographic access to Federally Qualified Health Centers, opioid treatment programs, and buprenorphine providers mitigated opioid-related hospital visits (emergency department, inpatient, and all visits) and mortality, by county, between 2012 and 2014. MethodsThe authors examined the relationships among opioid-related health outcomes and geographic access to treatment options using spatial error regression models at the county (n = 62) level in 2012 and 2014. Z-tests further assessed significant differences in access coefficients between 2012 and 2014. ResultsOf the 62 counties in New York State in 2014, 54 (87.1%) showed increased opioid overdose-related emergency department rates (t = 9.125, p < 0.001), and 37 (59.7%) showed mortality rate increases (t = 1.687, p < 0.1), compared to 2012. Regression models demonstrated significant negative relationships between county-level opioid-related mortality rates and geographic access to opioid treatment programs, Federally Qualified Health Centers in both 2012 and 2014 and buprenorphine providers concentration in 2014 while adjusting for county socio-demographics (all p values < 0.05). Access coefficients were not significantly different between 2012 and 2014 (p > 0.05). ConclusionsGreater geographic access to treatment services was protective against opioid-related mortality. Access to opioid treatment may not be sufficient to mitigate opioid-related hospital visits or mortality, but may offset climbing mortality rates in select counties.

Geographic patterns of prescription opioids and opioid overdose deaths in New York State, 2013-2015

ObjectivesTo examine the relationship between prescription opioid rates and prescription opioid overdose deaths using spatial cluster and regression analyses. MethodsPublicly available county-level data were obtained from the New York State Health Department and the Centers for Disease Control and Prevention, 2013–2015. Kulldorff's spatial scan statistic was used to investigate spatial clustering of New York State opioid prescription overdose death rates, as well as opioid prescription rates. A Poisson regression was used to analyze opioid prescriptions as a predictor of mortality accounting for spatial autocorrelation in the residuals. ResultsWe report 1440 overdose mortalities and 26.8 million opioid prescriptions throughout New York State in 2013–2015. Multiple significant clusters were found for both opioid prescription mortalities as well as prescriptions, although the locations of the elevated rates did not strongly overlap. Poisson regression showed a significant, small, negative relationship between prescriptions and opioid mortalities, wherein for every 10,000 prescriptions increased, the number of opioid mortalities decreased approximately 0.12%; therefore, essentially a null relationship. ConclusionsSimply reducing the number of prescriptions may not be effective in reducing prescription related mortality; although opioid prescription dosing information should be made available to engender a better evaluation of the epidemic. Geographical differences in opioid mortalities exist above and beyond what can be explained by prescription rate data; identifying these locations may help inform and guide public health interventions. Despite the recent reduction in opioid prescription rates, the overall population is still inundated with prescriptions.