Restrictive opioid prescribing policies and evolving risk environments: A qualitative study of the perspectives of patients who experienced an accidental opioid overdose.
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ABSTRACT: Background
Despite policy efforts to prevent overdose, accidental overdoses among individuals prescribed opioids continue to occur. Guided by Rhodes' Risk Environment Framework, we examined the unintended consequences of restrictive policies by identifying macro policy and micro-level contextual factors that patients prescribed opioids for pain identified as contributing to overdose events.Methods
Semi-structured interviews were conducted with 31 patients prescribed opioids who experienced an accidental opioid overdose between April 2017 and June 2019 in two health systems.Results
We identified three interrelated factors that emerged within an evolving risk environment and may have increased patients' vulnerability for an accidental opioid overdose: desperation from persistent pain and comorbidities; limited knowledge about opioid medication safety and effectiveness; and restrictive opioid prescribing policies that exacerbated stigma, fear and mistrust and prevented open patient-clinician communication. When experiencing persistent pain, patients took matters into their own hands by taking more medications or in different intervals than prescribed, mixing them with other substances, or using illicitly obtained opioids.Conclusion
For some patients, macro-level policies and guidelines designed to reduce opioid overdoses by restricting opioid supply may have paradoxically created a micro-level risk environment that contributed to overdose events in a subset of patients.
SUBMITTER: Mueller SR
PROVIDER: S-EPMC9134796 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
Publications
Restrictive opioid prescribing policies and evolving risk environments: A qualitative study of the perspectives of patients who experienced an accidental opioid overdose.
Mueller Shane R SR Glanz Jason M JM Nguyen Anh P AP Stowell Melanie M Koester Stephen S Rinehart Deborah J DJ Binswanger Ingrid A IA
The International journal on drug policy 20210108
<h4>Background</h4>Despite policy efforts to prevent overdose, accidental overdoses among individuals prescribed opioids continue to occur. Guided by Rhodes' Risk Environment Framework, we examined the unintended consequences of restrictive policies by identifying macro policy and micro-level contextual factors that patients prescribed opioids for pain identified as contributing to overdose events.<h4>Methods</h4>Semi-structured interviews were conducted with 31 patients prescribed opioids who e ...[more]
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| S-EPMC9742344 | biostudies-literature
Project description:IntroductionIn response to the role of opioid prescribing in the U.S. opioid crisis, states have enacted laws intended to curb high risk opioid prescribing practices. This study assessed the effects of state prescribing cap laws that limit the dose and/or duration of dispensed opioid prescriptions on opioid prescribing patterns and opioid overdose.MethodsWe identified 1,414,908 adults from a large U.S. administrative insurance claims database. Treatment states included 32 states that implemented a prescribing cap law between 2017 and 2019. Comparison states included 16 states and DC without a prescribing cap law by 2019. A difference-in-differences approach with staggered policy adoption was used to assess effects of these laws on opioid analgesic prescribing and opioid overdose.ResultsState opioid prescribing cap laws were not associated with changes in the proportion of people receiving opioid analgesic prescriptions, the dose or duration of opioid prescriptions, or opioid overdose. States with laws that imposed days' supply limits only versus days' supply and dosage limits, as well as with specific law provisions also showed no association with opioid prescribing or opioid overdose outcomes.ConclusionsState opioid prescribing cap laws did not appear to impact outcomes related to opioid analgesic prescribing or opioid overdose. These findings are potentially due to the limited scope of these laws, which often apply only to a subset of opioid prescriptions and include professional judgment exemptions.
| S-EPMC9893520 | biostudies-literature
Project description:ImportanceChanges in postsurgical opioid prescribing practices may help reduce chronic opioid use in surgical patients.ObjectiveTo investigate whether postsurgical acute pain across different surgical subspecialties can be managed effectively after hospital discharge with an opioid supply of 3 or fewer days and whether this reduction in prescribed opioids is associated with reduced new, persistent opioid use.Design, setting, and participantsIn this prospective cohort study with a case-control design, a restrictive opioid prescription protocol (ROPP) specifying an opioid supply of 3 or fewer days after discharge from surgery along with standardized patient education was implemented across all surgical services at a tertiary-care comprehensive cancer center. Participants were all patients who underwent surgery from August 1, 2018, to July 31, 2019.Main outcomes and measuresMain outcomes were the rate of compliance with the ROPP in each surgical service, the mean number of prescription days and refill requests, type of opioid prescribed, and rate of conversion to chronic opioid use determined via a state-run opioid prescription program. Postsurgical complications were also measured.ResultsA total of 4068 patients (mean [SD] age, 61.0 [13.8] years; 2528 women [62.1%]) were included, with 2017 in the pre-ROPP group (August 1, 2018, to January 31, 2019) and 2051 in the post-ROPP group (February 1, 2019, to July 31, 2019). The rate of compliance with the protocol was 95%. After implementation of the ROPP, mean opioid prescription days decreased from a mean (SD) of 3.9 (4.5) days in the pre-ROPP group to 1.9 (3.6) days in the post-ROPP group (P < .001). The ROPP implementation led to a 45% decrease in prescribed opioids after surgery (mean [SD], 157.22 [338.06] mean morphine milligram equivalents [MME] before ROPP vs 83.54 [395.70] MME after ROPP; P < .001). Patients in the post-ROPP cohort requested fewer refills (367 of 2051 [17.9%] vs 422 of 2017 [20.9%] in the pre-ROPP cohort; P = .02). There was no statistically significant difference in surgical complications. The conversion rate to chronic opioid use decreased following ROPP implementation among both opioid-naive patients with cancer (11.3% [143 of 1267] to 4.5% [118 of 2645]; P < .001) and those without cancer (6.1% [19 of 310] to 2.7% [16 of 600]; P = .02).Conclusions and relevanceIn this cohort study, prescribing an opioid supply of 3 or fewer days to surgical patients after hospital discharge was feasible for most patients, led to a significant decrease in the number of opioids prescribed after surgery, and was associated with a significantly decreased conversion to long-term opioid use without concomitant increases in refill requests or significant compromises in surgical recovery.
| S-EPMC9857779 | biostudies-literature
Project description:BackgroundUnited States (US) policies to mitigate the opioid epidemic focus on reducing access to prescription opioids to prevent overdoses. We examined the impact of state policies in Vermont (July 2017) and Maine (July 2016) on opioid overdoses and opioid-related adverse effects.MethodsStudy population included patients 15 years and older in all-payer claims of Vermont (N = 597,683; Jan.2016-Dec.2018) and Maine (N = 1,370,960; Oct.2015-Dec.2017). We used interrupted time series analyses to assess the impact of opioid prescribing policies on monthly opioid overdose rate and opioid-related adverse effects rate. We used the International Classification of Disease-10-CM to identify overdoses (T40.0 × 1-T40.4 × 4, T40.601-T40.604, T40.691-T40.694) and adverse effects (T40.0 × 5, T40.2 × 5-T40.4 × 5, T40.605, T40.695).ResultsImmediately after the policy, the level of Vermont's opioid overdose rate increased by 34% (95% confidence interval, CI: 1.09, 1.65) while the level of opioid-related adverse effects rate decreased by 29% (95% CI: 0.58, 0.87). In Maine, there was no level change in opioid overdose rate, but the slope of the adverse effects rate after the policy decreased by 3.5% (95% CI: 0.94, 0.99). These results varied within age and rurality subgroups in both states.ConclusionWhile the decrease in rate of adverse effects following the policy changes is promising, the increase in Vermont's opioid overdose rate may suggest there is an association between policy implementation and short-term risk to public health.
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Project description: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.
| S-EPMC9948913 | biostudies-literature
Project description:ImportanceRetention in buprenorphine therapy is associated with a lower risk of opioid overdose. Nevertheless, many patients discontinue treatment, and there is limited evidence to guide buprenorphine tapering.ObjectiveTo understand what prescribing characteristics are associated with opioid overdose following buprenorphine taper.Design, setting, and participantsThis is a population-based, retrospective, cohort study of adults who were maintained on buprenorphine for at least 60 days and underwent a buprenorphine taper. The study was conducted in the Canadian province of Ontario, using linked administrative health data. New buprenorphine treatment episodes were accrued between January 1, 2013, and January 1, 2019, and the maximum follow-up was April 30, 2020. Data analysis was performed from December 2020 to August 2022.ExposuresThe primary exposure of interest was time to taper initiation (≤1 year vs >1 year). Secondary exposures included mean rate of taper, percentage days during which the dose was decreasing, and taper duration.Main outcomes and measuresThe primary outcome measure was time to fatal or nonfatal opioid overdose within 18 months following treatment discontinuation.ResultsAmong 5774 individuals, the median (IQR) age at index date was 34 (28-44) years, and 3462 individuals (60.0%) were male. Time to taper initiation longer than 1 year vs 1 year or less (6.73 vs 10.35 overdoses per 100 person-years; adjusted hazard ratio [aHR], 0.69; 95% CI, 0.48-0.997), a lower mean rate of taper (≤2 mg per month, 6.95 overdoses per 100 person-years; >2 to ≤4 mg per month, 11.48 overdoses per 100 person-years; >4 mg per month, 17.27 overdoses per 100 person-years; ≤2 mg per month vs >4 mg per month, aHR, 0.65; 95% CI, 0.46-0.91; >2 to ≤4 mg per month vs >4 mg per month, aHR, 0.69; 95% CI, 0.51-0.93), and dose decreases in 1.75% or less of days vs more than 3.50% of days during the taper period (5.87 vs 13.87 overdoses per 100 person-years; aHR, 0.64; 95% CI, 0.43-0.93) were associated with reduced risk of opioid overdose; however, taper duration was not.Conclusions and relevanceIn this retrospective cohort study, buprenorphine tapers undertaken after at least 1 year of therapy, a slower rate of taper, and a lower percentage of days during which the dose was decreasing were associated with a significantly lower risk of opioid overdose, regardless of taper duration. These findings underscore the importance of a carefully planned taper and could contribute to reduction in opioid-related overdose death.
| S-EPMC9523505 | biostudies-literature
Project description:IntroductionOpioid overdose deaths quintupled in Massachusetts between 2000 and 2016. Potentially inappropriate opioid prescribing practices (PIP) are associated with increases in overdoses. The purpose of this study was to conduct spatial epidemiological analyses of novel comprehensively linked data to identify overdose and PIP hotspots.MethodsSixteen administrative datasets, including prescription monitoring, medical claims, vital statistics, and medical examiner data, covering >98% of Massachusetts residents between 2011-2015, were linked in 2017 to better investigate the opioid epidemic. PIP was defined by six measures: ≥100 morphine milligram equivalents (MMEs), co-prescription of benzodiazepines and opioids, cash purchases of opioid prescriptions, opioid prescriptions without a recorded pain diagnosis, and opioid prescriptions through multiple prescribers or pharmacies. Using spatial autocorrelation and cluster analyses, overdose and PIP hotspots were identified among 538 ZIP codes.ResultsMore than half of the adult population (n = 3,143,817, ages 18 and older) were prescribed opioids. Nearly all ZIP codes showed increasing rates of overdose over time. Overdose clusters were identified in Worcester, Northampton, Lee/Tyringham, Wareham/Bourne, Lynn, and Revere/Chelsea (Getis-Ord Gi*; p < 0.05). Large PIP clusters for ≥100 MMEs and prescription without pain diagnosis were identified in Western Massachusetts; and smaller clusters for multiple prescribers in Nantucket, Berkshire, and Hampden Counties (p < 0.05). Co-prescriptions and cash payment clusters were localized and nearly identical (p < 0.05). Overlap in PIP and overdose clusters was identified in Cape Cod and Berkshire County. However, we also found contradictory patterns in overdose and PIP hotspots.ConclusionsOverdose and PIP hotspots were identified, as well as regions where the two overlapped, and where they diverged. Results indicate that PIP clustering alone does not explain overdose clustering patterns. Our findings can inform public health policy decisions at the local level, which include a focus on PIP and misuse of heroin and fentanyl that aim to curb opioid overdoses.
| S-EPMC6685426 | biostudies-literature
Project description:ImportanceSafe opioid prescribing practices are critical to mitigate the risk of prescription opioid overdose in adolescents and young adults. However, studies that examine opioid prescribing patterns associated with prescription opioid overdose have mostly focused on older adults. The generalizability of these studies to adolescents and young adults is unclear.ObjectiveTo identify opioid prescribing patterns associated with prescription opioid overdose in adolescents and young adults.Design, setting, and participantsThis retrospective cohort study assessed privately insured patients aged 12 to 21 years with opioid prescription claims in the IBM MarketScan Commercial Claims and Encounters database between July 1, 2009, and October 1, 2017, and no cancer diagnosis. Data analysis was performed from January 1 to April 30, 2019.Main outcomes and measuresThe outcome was a treated opioid overdose as indicated by diagnosis codes. On the basis of days supplied, opioid prescription claims were converted to person-days (the unit of analysis) on which opioid exposure would occur if patients took medications as prescribed. Logistic regression with clustered SEs at the patient level was used to model the occurrence of overdose on a person-day as a function of daily opioid dosage category (<30, 30-59, 60-89, 90-119, or ≥120 morphine milligram equivalents), concurrent benzodiazepine use, and extended-release or long-acting opioid use. Regressions controlled for demographic characteristics, year, opioid use within 180 days, and comorbidities (mental health disorder, substance use disorder, and other chronic condition).ResultsA total of 2 752 612 patients (mean [SD] age at cohort entry, 17.2 [2.5] years; 1 451 918 [52.8%] female) participated in the study. Patients had 4 686 355 opioid prescription claims, corresponding to 21 605 444 person-days. Overdose occurred on 255 person-days among 249 patients (0.01% of the sample). Each increase in daily opioid dosage category was associated with higher overdose risk (adjusted odds ratio [AOR], 1.18; 95% CI, 1.05-1.31). Compared with no use, both concurrent benzodiazepine use (AOR, 1.83; 95% CI, 1.24-2.71) and extended-release or long-acting opioid use (AOR, 2.01; 95% CI, 1.16-3.46) were associated with increased overdose risk.Conclusions and relevanceThe findings suggest that when prescribing opioids to adolescents and young adults, practitioners could potentially mitigate overdose risk by using the lowest effective daily dosage, avoiding concurrent opioid and benzodiazepine prescribing, and relying on short-acting opioids. Findings are broadly consistent with prior opioid safety studies focused on older adults.
| S-EPMC6990690 | biostudies-literature
Project description:BackgroundPotentially inappropriate prescribing (PIP) may contribute to opioid overdose.ObjectiveTo examine the association between PIP and adverse events.DesignCohort study.ParticipantsThree million seventy-eight thousand thirty-four individuals age ≥ 18, without disseminated cancer, who received prescription opioids between 2011 and 2015.Main measuresWe defined PIP as (a) morphine equivalent dose ≥ 100 mg/day in ≥ 3 months; (b) overlapping opioid and benzodiazepine prescriptions in ≥ 3 months; (c) ≥ 4 opioid prescribers in any quarter; (d) ≥ 4 opioid-dispensing pharmacies in any quarter; (e) cash purchase of prescription opioids on ≥ 3 occasions; and (f) receipt of opioids in 3 consecutive months without a documented pain diagnosis. We used Cox proportional hazards models to identify PIP practices associated with non-fatal opioid overdose, fatal opioid overdose, and all-cause mortality, controlling for covariates.Key resultsAll six types of PIP were associated with higher adjusted hazard for all-cause mortality, four of six with non-fatal overdose, and five of six with fatal overdose. Lacking a documented pain diagnosis was associated with non-fatal overdose (adjusted hazard ratio [AHR] 2.21, 95% confidence interval [CI] 2.02-2.41), as was high-dose opioids (AHR 1.68, 95% CI 1.59-1.76). Co-prescription of benzodiazepines was associated with fatal overdose (AHR 4.23, 95% CI 3.85-4.65). High-dose opioids were associated with all-cause mortality (AHR 2.18, 95% CI 2.14-2.23), as was lacking a documented pain diagnosis (AHR 2.05, 95% CI 2.01-2.09). Compared to those who received opioids without PIP, the hazard for fatal opioid overdose with one, two, three, and ≥ four PIP subtypes were 4.24, 7.05, 10.28, and 12.99 (test of linear trend, p < 0.001).ConclusionsPIP was associated with higher hazard for all-cause mortality, fatal overdose, and non-fatal overdose. Our study implies the possibility of creating a risk score incorporating multiple PIP subtypes, which could be displayed to prescribers in real time.
| S-EPMC6109008 | biostudies-literature
Project description:BackgroundSince 2010, heroin-related overdoses have risen sharply, coinciding with policies to restrict access to prescription opioids. It is unknown if patients tapered or discontinued off prescription opioids transitioned to riskier heroin use. This study examined opioid prescribing, including long-term opioid therapy (LTOT) and discontinuation, prior to heroin overdose.MethodsWe used retrospective longitudinal data from a national claims database to identify adults with an emergency or inpatient claim for heroin overdose between January 2010 and June 2017. Receipt of opioid prescription, LTOT episodes, and discontinuation of LTOT were measured for the period of one year prior to heroin overdose.ResultsWe identified 3183 individuals (53.2% age 18-25; 70.0% male) with a heroin overdose (incidence rate 4.20 per 100k person years). Nearly half (42.3%) received an opioid prescription in the prior 12 months, and 10.9% had an active opioid prescription in the week prior to overdose. LTOT at any time in the 12 months prior to overdose was uncommon (12.8%) among those with heroin overdoses, especially among individuals 18-25 years old (3.5%, P < 0.001). LTOT discontinuation prior to overdose was also relatively uncommon, experienced by 6.7% of individuals aged 46 and over and 2.5% of individuals aged 18-25 years (P < 0.001).ConclusionsPrior to heroin overdose, prescription opioid use was common, but LTOT discontinuation was uncommon and observed primarily in older individuals with the lowest heroin overdose rates. Further study is needed to determine if these prescribing patterns are associated with increased heroin overdose.
| S-EPMC7768819 | biostudies-literature