Increased risk of adverse events in non-cancer patients with chronic and high-dose opioid use—A health insurance claims analysis (original) (raw)
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BMC medicine, 2018
Previous studies on high-risk opioid use have only focused on patients diagnosed with an opioid disorder. This study evaluates the impact of various high-risk prescription opioid use groups on healthcare costs and utilization. This is a retrospective cohort study using QuintilesIMS health plan claims with independent variables from 2012 and outcomes from 2013. We included a population-based sample of 191,405 non-elderly adults with known sex, one or more opioid prescriptions, and continuous enrollment in 2012 and 2013. Three high-risk opioid use groups were identified in 2012 as (1) persons with 100+ morphine milligram equivalents per day for 90+ consecutive days (chronic users); (2) persons with 30+ days of concomitant opioid and benzodiazepine use (concomitant users); and (3) individuals diagnosed with an opioid use disorder. The length of time that a person had been characterized as a high-risk user was measured. Three healthcare costs (total, medical, and pharmacy costs) and fou...
Opioid Prescription in Switzerland: Appropriate Comedication use in Cancer and Noncancer Pain
November 2019, 2019
Background: In Europe, limited information on the use of opioids is available. Objectives: To assess how guideline recommendations to manage opioid-related adverse events were followed in cancer- and noncancer-related opioid use. Study Design: Analysis of health insurance data of one of the major health insurers in Switzerland. Setting: All opioid claims between 2006 and 2014. Methods: Opioid episodes were cancer-related when cancer treatments were used within ± 3 months of the first opioid claim. Recurrent strong episodes were defined as ≥ 2 opioid claims with at least one strong opioid claim. Episode duration were acute (< 90 days), subacute, or chronic (≥ 120 days/≥ 90 days + ≥ 10 claims). Results: Out of 591,633 opioid episodes 76,968 (13%) were recurrent episodes: 94% were noncancer related (83% in recurrent episodes) and 6% cancer related (17% recurrent). Chronic opioid use was observed in 55% (noncancer) and 58% (cancer) recurrent episodes. Recommended laxatives were used ...
PAIN, 2010
The use of chronic opioid therapy (COT) for chronic non-cancer pain (CNCP) has increased dramatically in the past two decades. There has also been a marked increase in abuse of prescribed opioids and in accidental opioid overdose. Misuse of prescribed opioids may link these trends, but has thus far only been studied in small clinical samples. We therefore sought to validate an administrative indicator of opioid misuse among large samples of recipients of COT and determine the demographic, clinical, and pharmacological risks associated with possible and probable opioid misuse. 21,685 enrollees in commercial insurance plans and 10,159 in Arkansas Medicaid who had at least 90 days of continuous opioid use 2000-5 were studied for one year. Criteria were developed for possible and probable opioid misuse using administrative claims data concerning excess days supplied of shortacting and long-acting opioids, opioid prescribers and opioid pharmacies. We estimated possible misuse at 24% of COT recipients in the commercially insured sample and 20% in the Medicaid sample and probable misuse at 6% in commercially insured and at 3% in Medicaid. Among non-modifiable factors, younger age, back pain, multiple pain complaints and substance abuse disorders identify patients at high risk for misuse. Among modifiable factors, treatment with high daily dose opioids (especially>120mg MED per day) and short-acting Schedule II opioids appears to increase risk of misuse. The consistency of the findings across diverse patient populations and varying levels of misuse suggests that these results will generalize broadly, but awaits confirmation in other studies.
Addiction (Abingdon, England), 2017
Aims (1) To characterize the amount of prescription opioids prescribed for high-risk patients by low-volume prescribers; (2) to quantify how high-and low-volume prescribers differ systematically in their prescribing patterns. Design Cross-sectional study using 2015 longitudinal, all-payer QuintilesIMS pharmacy claims. We conducted an aggregated analysis for the first aim and an individual-level analysis for the second aim. Setting California, Florida, Georgia, Maryland, and Washington, USA. Participants Among 4 046 275 patients, we identified 375 848 concomitant users (filling more than 30-days of concomitant opioids and benzodiazepines), 150 814 chronic users (using 100+ morphine milligram equivalents (MMEs) per day for more than 90 days), and 3190 patients prescribed opioids by > 3 prescribers and filling opioids at > 3 pharmacies during any 90-day period. Among 192 126 prescribers, we identified 8023 high-volume prescribers, who comprised the highest fifth percentile of opioid volume during four calendar quarters. Measurements (1) MME dose per transaction, (2) days supplied per transaction, (3) total opioid volume per patient and (4) number of prescriptions per patient. We also examined differences in opioid dispensing between high-and low-volume prescribers among patients receiving opioids from both. Findings Low-volume prescribers accounted for 15-29% of opioid volume and 18-56% of opioid prescriptions for high-risk patients, compared with 28-37% and 53-58% for low-risk patients. After accounting for state of residence, comorbid burden, prescriber specialty and care sequence, patients were more likely to receive higher doses (60.9 versus 53.2 MMEs per day, P < 0.01), longer supplies (22.1 versus 15.6 days, P < 0.01), more prescriptions (4.0 versus 2.6 prescriptions, P < 0.01) and greater opioid volume (5.6 versus 1.9 g, P < 0.01) from high-than low-volume prescribers. Conclusions In the United States, high-risk patients obtain a substantial proportion of prescription opioids from low-volume prescribers. The differences in prescribing patterns between high-and low-volume prescribers suggest the importance of interventions targeting prescriber behaviors. Keywords Chronic high-dose opioids users, concomitant users of opioids and benzodiazepines, non-medical opioid use, opioid use disorders, patient-prescriber interaction, patients receiving opioids from multiple prescribers and pharmacies, prescription opioids.
Identifying and assessing the risk of opioid abuse in patients with cancer: an integrative review
Substance Abuse and Rehabilitation, 2016
Background: The misuse and abuse of opioid medications in many developed nations is a health crisis, leading to increased health-system utilization, emergency department visits, and overdose deaths. There are also increasing concerns about opioid abuse and diversion in patients with cancer, even at the end of life. Aims: To evaluate the current literature on opioid misuse and abuse, and more specifically the identification and assessment of opioid-abuse risk in patients with cancer. Our secondary aim is to offer the most current evidence of best clinical practice and suggest future directions for research. Materials and methods: Our integrative review included a literature search using the key terms "identification and assessment of opioid abuse in cancer", "advanced cancer and opioid abuse", "hospice and opioid abuse", and "palliative care and opioid abuse". PubMed, PsycInfo, and Embase were supplemented by a manual search. Results: We found 691 articles and eliminated 657, because they were predominantly non cancer populations or specifically excluded cancer patients. A total of 34 articles met our criteria, including case studies, case series, retrospective observational studies, and narrative reviews. The studies were categorized into screening questionnaires for opioid abuse or alcohol, urine drug screens to identify opioid misuse or abuse, prescription drug-monitoring programs, and the use of universal precautions. Conclusion: Screening questionnaires and urine drug screens indicated at least one in five patients with cancer may be at risk of opioid-use disorder. Several studies demonstrated associations between high-risk patients and clinical outcomes, such as aberrant behavior, prolonged opioid use, higher morphine-equivalent daily dose, greater health care utilization, and symptom burden.
Determinants of long-term opioid use in hospitalized patients
PLOS ONE
Background Long-term opioid use is an increasingly important problem related to the ongoing opioid epidemic. The purpose of this study was to identify patient, hospitalization and system-level determinants of long term opioid therapy (LTOT) among patients recently discharged from hospital. Design To be eligible for this study, patient needed to have filled at least one opioid prescription three-months post-discharge. We retrieved data from the provincial health insurance agency to measure medical service and prescription drug use in the year prior to and after hospitalization. A multivariable Cox Proportional Hazards model was utilized to determine factors associated with time to the first LTOT occurrence, defined as time-varying cumulative opioid duration of ≥ 60 days. Results Overall, 22.4% of the 1,551 study patients were classified as LTOT, who had a mean age of 66.3 years (SD = 14.3). Having no drug copay status (adjusted hazard ratio (aHR) 1.91, 95% CI: 1.40–2.60), being a LTO...
Preventive medicine, 2018
Strategies are needed to identify at-risk patients for adverse events associated with prescription opioids. This study identified prescription opioid misuse in an integrated health system using electronic health record (EHR) data, and examined predictors of misuse and overdose. The sample included patients from an EHR-based registry of adults who used prescription opioids in 2011 in Kaiser Permanente Northern California, a large integrated health care system. We characterized time-at-risk for opioid misuse and overdose, and used Cox proportional hazard models to model predictors of these events from 2011 to 2014. Among 396,452 patients, 2.7% were identified with opioid misuse and 1044 had an overdose event. Older patients were less likely to meet misuse criteria or have an overdose. Whites were more likely to be identified with misuse, but not to have an overdose. Alcohol and drug disorders were related to higher risk of misuse and overdose, with the exception that marijuana disorde...