Dataset Information

Validation of a Screening Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose in a US Commercial Health Plan Claims Database.

ABSTRACT: To validate a risk index that estimates the likelihood of overdose or serious opioid-induced respiratory depression (OIRD) among medical users of prescription opioids.A case-control analysis of 18,365,497 patients with an opioid prescription from 2009 to 2013 in the IMS PharMetrics Plus commercially insured health plan claims database (CIP). An OIRD event occurred in 7,234 cases. Four controls were selected per case. Validity of the Risk Index for Overdose or Serious Opioid-induced Respiratory Depression (RIOSORD), developed previously using Veterans Health Administration (VHA) patient data, was assessed. Multivariable logistic regression was used within the CIP study population to develop a slightly refined RIOSORD. The composition and performance of the CIP-based RIOSORD was evaluated and compared with VHA-based RIOSORD.VHA-RIOSORD performed well in discriminating OIRD events in CIP (C-statistic = 0.85). Additionally, re-estimation of logistic model coefficients in CIP yielded a 0.90 C-statistic. The resulting comorbidity and pharmacotherapy variables most highly associated with OIRD and retained in the CIP-RIOSORD were largely concordant with VHA-RIOSORD. These variables included neuropsychiatric and cardiopulmonary disorders, impaired drug excretion, opioid characteristics, and concurrent psychoactive medications. The average predicted probability of OIRD ranged from 2% to 83%, with excellent agreement between predicted and observed incidence across risk classes.RIOSORD had excellent predictive accuracy in a large population of US medical users of prescription opioids, similar to its performance in VHA. This practical risk index is designed to support clinical decision-making for safer opioid prescribing, and its clinical utility should be evaluated prospectively.

SUBMITTER: Zedler BK

PROVIDER: S-EPMC5939826 | biostudies-other | 2018 Jan

REPOSITORIES: biostudies-other

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Validation of a Screening Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose in a US Commercial Health Plan Claims Database.

Zedler Barbara K BK Saunders William B WB Joyce Andrew R AR Vick Catherine C CC Murrelle E Lenn EL

Pain medicine (Malden, Mass.) 20180101 1

<h4>Objective</h4>To validate a risk index that estimates the likelihood of overdose or serious opioid-induced respiratory depression (OIRD) among medical users of prescription opioids.<h4>Subjects and methods</h4>A case-control analysis of 18,365,497 patients with an opioid prescription from 2009 to 2013 in the IMS PharMetrics Plus commercially insured health plan claims database (CIP). An OIRD event occurred in 7,234 cases. Four controls were selected per case. Validity of the Risk Index for O ...[more]

PMID: 28340046

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Project description:ImportanceThe opioid epidemic continues to be a public health crisis in the US.ObjectiveTo assess the patient factors and early time-varying prescription-related factors associated with opioid-related fatal or nonfatal overdose.Design, setting, and participantsThis cohort study evaluated opioid-naive adult patients in Oregon using data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other health data sets in the state of Oregon. The observational, population-based sample filled a first (index) opioid prescription in 2015 and was followed up until December 31, 2018. Data analyses were performed from March 1, 2020, to June 15, 2021.ExposuresOverdose after the index opioid prescription.Main outcomes and measuresThe outcome was an overdose event. The sample was followed up to identify fatal or nonfatal opioid overdoses. Patient and prescription characteristics were identified. Prescription characteristics in the first 6 months after the index prescription were modeled as cumulative, time-dependent measures that were updated monthly through the sixth month of follow-up. A time-dependent Cox proportional hazards regression model was used to assess patient and prescription characteristics that were associated with an increased risk for overdose events.ResultsThe cohort comprised 236 921 patients (133 839 women [56.5%]), of whom 667 (0.3%) experienced opioid overdose. Risk of overdose was highest among individuals 75 years or older (adjusted hazard ratio [aHR], 3.22; 95% CI, 1.94-5.36) compared with those aged 35 to 44 years; men (aHR, 1.29; 95% CI, 1.10-1.51); those who were dually eligible for Medicaid and Medicare Advantage (aHR, 4.37; 95% CI, 3.09-6.18), had Medicaid (aHR, 3.77; 95% CI, 2.97-4.80), or had Medicare Advantage (aHR, 2.18; 95% CI, 1.44-3.31) compared with those with commercial insurance; those with comorbid substance use disorder (aHR, 2.74; 95% CI, 2.15-3.50), with depression (aHR, 1.26; 95% CI, 1.03-1.55), or with 1 to 2 comorbidities (aHR, 1.32; 95% CI, 1.08-1.62) or 3 or more comorbidities (aHR, 1.90; 95% CI, 1.42-2.53) compared with none. Patients were at an increased overdose risk if they filled oxycodone (aHR, 1.70; 95% CI, 1.04-2.77) or tramadol (aHR, 2.80; 95% CI, 1.34-5.84) compared with codeine; used benzodiazepines (aHR, 1.06; 95% CI, 1.01-1.11); used concurrent opioids and benzodiazepines (aHR, 2.11; 95% CI, 1.70-2.62); or filled opioids from 3 or more pharmacies over 6 months (aHR, 1.38; 95% CI, 1.09-1.75).Conclusions and relevanceThis cohort study used a comprehensive data set to identify patient and prescription-related risk factors that were associated with opioid overdose. These findings may guide opioid counseling and monitoring, the development of clinical decision-making tools, and opioid prevention and treatment resources for individuals who are at greatest risk for opioid overdose.

Project description:Background and aimsSome adolescents and young adults (termed "youth") prescribed an opioid will develop opioid use disorder or experience overdose. This study aimed to identify patient and prescription characteristics associated with subsequent risk of opioid use disorder or overdose during the year after an opioid is first dispensed.DesignRetrospective cohort study.SettingCommercial health insurance claims in a large United States (US) database from 2006 to 2016.ParticipantsYouth age 11 to 25 years filling an initial opioid prescription (n = 3 278 990).MeasurementsThe primary outcome was development of an 'opioid-related complication' (a diagnosis of opioid use disorder or opioid-related overdose) during the subsequent 12 months. Exposures of interest were patient (sociodemographic information, and physical and mental health diagnoses) and prescription characteristics (opioid formulation, dose, and duration).FindingsAmong youth filling an initial opioid prescription, median age was 18 years (interquartile range [IQR] = 16-21) and 56.1% were female. During the subsequent 12 months, 10 405 (0.3%) youth experienced an opioid-related complication. Conditions associated with increased risk included mood/anxiety disorders (adjusted relative risk [aRR] = 4.45; 95% CI = 4.25-4.66) and substance use (aRR = 20.77; 95% CI = 19.74-21.84). Comorbid substance use disorders were present among 72.8% of youth experiencing an opioid-related complication and included alcohol (33.4%), cannabis (33.0%), nicotine (43.2%), and other substance use disorders (75.5%). Long-acting opioids (aRR = 2.59; 95% CI = 2.18-3.09) and longer durations were associated with increased risk (7-14 days: aRR = 1.15; 95% CI = 1.08-1.22; ≥15 days: aRR = 1.96; 95% CI = 1.80-2.12) compared with short-acting formulations and durations ≤3 days, respectively.ConclusionsAmong United States youth, complications after an initial opioid prescription appear to be relatively rare and appear to be associated with mood/anxiety disorders, substance use, comorbid substance use disorders, and prescriptions involving long-acting opioids or long durations.

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.

Project description:BackgroundIn response to the opioid overdose crisis in the United States, many states implemented policies to guide opioid prescribing, but their impact on overdose mortality (prescription and non-prescription) remains poorly understood. We examined the impact of U.S. state opioid-prescribing policies on opioid overdose mortality following implementation.MethodsWe calculated opioid overdose mortality rates from 1999-2016 by U.S. state using the CDC WONDER database, overall and separately for overdose deaths from prescription and non-prescription opioids. For each state, policies active on 1/1/2014 were reviewed for the presence and strength of six provisions recommending judicious opioid prescribing practices; "strong" provisions used the words "should," "shall," or "must". Interrupted time series (ITS) tested the association of each strong provision with overdose mortality, overall and separately for prescription and non-prescription opioids, in the two years following implementation. Sensitivity analyses compared between states, used time-lagged analyses, and excluded synthetic opioids from non-prescription opioid deaths.ResultsAll six provisions had consistent direction of effect in ITS and sensitivity analyses. Strong provisions for prescriber training and limits on opioid dose reduced the slope of overall and prescription opioid overdose mortality in both ITS and sensitivity analyses. Reduced non-prescription opioid overdose mortality was only associated with strong provision for prescriber training. Some provisions had a negative impact. In ITS, strong provision for prescriber response to misuse increased the slope of non-prescription opioid overdose mortality. Strong provision for mandatory prescription drug monitoring program use had no relationship with overdose mortality in ITS and was associated with increased overall, prescription and non-prescription opioid overdose mortality in between-state sensitivity analysis.ConclusionOpioid prescribing policies in U.S. states at the peak of the prescription opioid epidemic had modest mortality benefit, and did not reduce non-prescription opioid overdose mortality. A strong provision for prescriber training was the only provision associated with reduced prescription and non-prescription opioid overdose mortality. These findings can inform future efforts addressing prescription drug epidemics.

Dataset Information

Validation of a Screening Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose in a US Commercial Health Plan Claims Database.

Publications

Validation of a Screening Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose in a US Commercial Health Plan Claims Database.

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