Dataset Information

Low overdose responding self-efficacy among adults who report lifetime opioid use.

ABSTRACT: BACKGROUND:Evaluations of overdose response programs suggest effectiveness in preventing overdose-related death and individual willingness to respond to an overdose. However, knowledge of and confidence in performing response behaviors is necessary for individuals to intervene. This study assessed overdose responding self-efficacy among adults who reported lifetime opioid use. METHODS:Data come from a cross-sectional survey, part of a randomized controlled trial designed for adults living with hepatitis C. Participants were 18 years old or older, and reported lifetime opioid use. Overdose responding self-efficacy was assessed by perceived knowledge and/or need for additional training to have confidence responding to an overdose. Univariate statistics were calculated for overdose responding self-efficacy, and individual characteristics and experiences. Adjusted logistic regression was used to identify variables associated with low overdose responding self-efficacy. RESULTS:Of the 424 participants, 67.2% reported low overdose responding self-efficacy. Sixty percent witnessed and 30.4% experienced an overdose in the past year. Witnessing an overdose in the past year, experience with naloxone training, and receiving and using naloxone were associated with high overdose responding self-efficacy. While, apprehension with particular response behaviors (e.g. rescue breathing) was associated with low overdose responding self-efficacy. CONCLUSIONS:A large proportion of adults who reported lifetime opioid use did not feel confident or knowledgeable responding to an overdose. This could be influenced by overdose exposure, specific response behaviors, and response trainings.

SUBMITTER: Tormohlen KN

PROVIDER: S-EPMC6699739 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Low overdose responding self-efficacy among adults who report lifetime opioid use.

Tormohlen Kayla N KN Tobin Karin E KE Davey-Rothwell Melissa A MA Latkin Carl C

Drug and alcohol dependence 20190607

<h4>Background</h4>Evaluations of overdose response programs suggest effectiveness in preventing overdose-related death and individual willingness to respond to an overdose. However, knowledge of and confidence in performing response behaviors is necessary for individuals to intervene. This study assessed overdose responding self-efficacy among adults who reported lifetime opioid use.<h4>Methods</h4>Data come from a cross-sectional survey, part of a randomized controlled trial designed for adult ...[more]

PMID: 31212214

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Project description:Importance:Opioid overdose deaths in the United States continue to increase, reflecting a growing need to treat those with opioid use disorder (OUD). Little is known about counties with high rates of opioid overdose mortality but low availability of OUD treatment. Objective:To identify characteristics of US counties with persistently high rates of opioid overdose mortality and low capacity to deliver OUD medications. Design, Setting, and Participants:In this cross-sectional study of data from 3142 US counties from January 1, 2015, to December 31, 2017, rates of opioid overdose mortality were compared with availability in 2017 of OUD medication providers (24 851 buprenorphine-waivered clinicians [physicians, nurse practitioners, and physician assistants], 1517 opioid treatment programs [providing methadone], and 5222 health care professionals who could prescribe extended-release naltrexone). Statistical analysis was performed from April 20, 2018, to May 8, 2019. Exposures:Demographic, workforce, lack of insurance, road density, urbanicity, opioid prescribing, and regional division county-level characteristics. Main Outcome and Measures:The outcome variable, "opioid high-risk county," was a binary indicator of a high (above national) rate of opioid overdose mortality with a low (below national) rate of provider availability to deliver OUD medication. Spatial logistic regression models were used to determine associations with being an opioid high-risk county. Results:Of 3142 counties, 751 (23.9%) had high rates of opioid overdose mortality. A total of 1457 counties (46.4%), and 946 of 1328 rural counties (71.2%), lacked a publicly available OUD medication provider in 2017. In adjusted models, compared with the West North Central division, counties in the East North Central, Mountain, and South Atlantic divisions had increased odds of being opioid high-risk counties (East North Central: odds ratio [OR], 2.21; 95% CI, 1.19-4.12; Mountain: OR, 4.15; 95% CI, 1.34-12.89; and South Atlantic: OR, 2.99; 95% CI, 1.26-7.11). A 1% increase in unemployment was associated with increased odds (OR, 1.09; 95% CI, 1.03-1.15) of a county being an opioid high-risk county. Counties with an additional 10 primary care clinicians per 100 000 population had a reduced risk of being opioid high-risk counties (OR, 0.89; 95% CI, 0.85-0.93), as did counties that were micropolitan (vs metropolitan) (OR, 0.67; 95% CI, 0.50-0.90) and those that had an additional 1% of the population younger than 25 years (OR, 0.95; 95% CI, 0.92-0.98). Conclusions and Relevance:Counties with low availability of OUD medication providers and high rates of opioid overdose mortality were less likely to be micropolitan and have lower primary care clinician density, but were more likely to be in the East North Central, South Atlantic, or Mountain division and have higher rates of unemployment. Strategies to increase medication treatment must account for these factors.

Project description:ImportanceAttempts to discontinue opioid therapy to reduce the risk of overdose and adhere to prescribing guidelines may lead patients to be exposed to variability in opioid dosing. Such dose variability may increase the risk of opioid overdose even if therapy discontinuation is associated with a reduction in risk.ObjectiveTo examine the association between opioid dose variability and opioid overdose.Design, setting, and participantsA nested case-control study was conducted in a large Colorado integrated health plan and delivery system from January 1, 2006, through June 30, 2018. Cohort members were individuals prescribed long-term opioid therapy.ExposuresDose variability was defined as the SD of the milligrams of morphine equivalents across each patient's follow-up and categorized based on the quintile distribution of the SD in the cohort (0-5.3, 5.4-9.1, 9.2-14.6, 14.7-27.2, and >27.2 mg of morphine equivalents).Main outcomes and measuresOpioid overdose cases were identified using International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. Each case patient with overdose was matched to up to 20 control patients using risk set sampling. Conditional logistic regression models were used to generate matched odds ratios and 95% CIs, adjusted for age, sex, race/ethnicity, drug or alcohol use disorder, tobacco use, benzodiazepine dispensings, medical comorbidities, mental health disorder, opioid dose, and opioid formulation.ResultsIn a cohort of 14 898 patients (mean [SD] age, 56.3 [16.0] years; 8988 [60.3%] female) prescribed long-term opioid therapy, 228 case patients with incident opioid overdose were matched to 3547 control patients. The mean (SD) duration of opioid therapy was 36.7 (33.7) months in case patients and 33.0 (30.9) months in control patients. High-dose variability (SD >27.2 mg of morphine equivalents) was associated with a significantly increased risk of overdose compared with low-dose variability (matched odds ratio, 3.32; 95% CI, 1.63-6.77) independent of opioid dose.Conclusions and relevanceVariability in opioid dose may be a risk factor for opioid overdose, suggesting that practitioners should seek to minimize dose variability when managing long-term opioid therapy.

Project description:BackgroundWith governments' increasing efforts to curb opioid prescription use and limit dose below the Centers for Disease Control and Prevention (CDC)-recommended threshold of 90 morphine milligram equivalents per day, little is known about prescription opioid patterns preceding opioid use disorder (OUD) or overdose. This study aimed to determine prescribed opioid fills and dose trajectories in the year before an incident OUD or overdose diagnosis using a 2005-2016 commercial healthcare database.Methods and findingsThis cross-sectional study identified individuals aged 18 to 64 years with incident OUD or overdose in the United States. We measured the prevalence of opioid prescription fills and trajectories of opioid morphine equivalent dose (MED) prescribed during the 12-month period before the diagnosis. Of 227,038 adults with incident OUD or overdose, 33.1% were aged 18 to 30 years, 52.9% were males, and 85.0% were metropolitan residents. Half (50.5%) of the patients had a diagnosis of chronic pain, 32.7% had depression, and 20.3% had anxiety. Overall, 79,747 (35.1%) patients filled no opioid prescription in the 12 months before OUD or overdose diagnosis, with the proportion significantly increasing between 2006 and 2016 (adjusted prevalence ratio, 1.86; 95% CI 1.79-1.93; P < 0.001). Patients without (versus with) prescribed opioids tended to be younger males and metropolitan and Northeast US residents. Of 145,609 patients who filled opioid prescriptions, 5 distinct prescribed daily dose trajectories preceding diagnosis emerged: consistent low dose (<3 mg MED, 34.6%), consistent moderate dose (20 mg MED, 27.3%), consistent high dose (150 mg MED, 15.0%), escalating dose (from <3 to 20 mg MED, 13.7%), and de-escalating dose (from 20 to <3mg MED, 9.4%). Overall, over two-thirds of patients with OUD or overdose with prescription opioids were prescribed a mean daily dose below 90 mg MED before diagnosis. Major limitations include the limited generalizability of the study findings and lack of information on out-of-pocket drug spending, race/ethnicity, and socioeconomic status of participants, which prevents analyses addressing these characteristics.ConclusionsIn this study, we found that absence of opioid prescription fills in the year before incident OUD or overdose diagnosis was prevalent, and the majority of the patients received prescription opioid doses below the risk threshold of 90 mg MED. An increasing proportion of high-risk patients could be missed by current programs solely based on opioid prescribing and dispensing information in this new era of limited access to prescription opioids.

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:OBJECTIVE:Although buprenorphine treatment reduces risk of overdose and death in opioid use disorder, most patients discontinue treatment within a few weeks or months. Adverse health outcomes following buprenorphine discontinuation were compared among patients who were successfully retained beyond 6 months of continuous treatment, a minimum treatment duration recently endorsed by the National Quality Forum. METHODS:A retrospective longitudinal cohort analysis was performed using the MarketScan multistate Medicaid claims database (2013-2017), covering 12 million beneficiaries annually. The sample included adults (18-64 years of age) who received buprenorphine continuously for ?180 days by cohorts retained for 6-9 months, 9-12 months, 12-15 months, and 15-18 months. For outcome assessment in the postdiscontinuation period, patients had to be continuously enrolled in Medicaid for 6 months after buprenorphine discontinuation. Primary adverse outcomes included all-cause emergency department visits, all-cause inpatient hospitalizations, opioid prescriptions, and drug overdose (opioid or non-opioid). RESULTS:Adverse events were common across all cohorts, and almost half of patients (42.1%-49.9%) were seen in the emergency department at least once. Compared with patients retained on buprenorphine for 6-9 months (N=4,126), those retained for 15-18 months (N=931) had significantly lower odds of emergency department visits (odds ratio=0.75, 95% CI=0.65-0.86), inpatient hospitalizations (odds ratio=0.79, 95% CI=0.64-0.99), and filling opioid prescriptions (odds ratio=0.67, 95% CI=0.56-0.80) in the 6 months following discontinuation. Approximately 5% of patients across all cohorts experienced one or more medically treated overdoses. CONCLUSIONS:Risk of acute care service use and overdose were high following buprenorphine discontinuation irrespective of treatment duration. Superior outcomes became significant with treatment duration beyond 15 months, although rates of the primary adverse outcomes remained high.

Dataset Information

Low overdose responding self-efficacy among adults who report lifetime opioid use.

Publications

Low overdose responding self-efficacy among adults who report lifetime opioid use.

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