Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study.
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ABSTRACT:
SUBMITTER: Rentsch CT
PROVIDER: S-EPMC7344341 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
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Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study.
Rentsch Christopher T CT Edelman E Jennifer EJ Justice Amy C AC Marshall Brandon D L BDL Xu Ke K Smith Andrew H AH Crystal Stephen S Gaither Julie R JR Gordon Adam J AJ Smith Rachel V RV Kember Rachel L RL Polimanti Renato R Gelernter Joel J Fiellin David A DA Tate Janet P JP Kranzler Henry R HR Becker William C WC
AIDS and behavior 20191201 12
A better understanding of predisposition to transition to high-dose, long-term opioid therapy after initial opioid receipt could facilitate efforts to prevent opioid use disorder (OUD). We extracted data on 69,268 patients in the Veterans Aging Cohort Study who received any opioid prescription between 1998 and 2015. Using latent growth mixture modelling, we identified four distinguishable dose trajectories: low (53%), moderate (29%), escalating (13%), and rapidly escalating (5%). Compared to low ...[more]
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Project description:IntroductionLittle is known about long-term prescription opioid utilization in the Military Health System. The objectives of this study were to examine predictors of any prescription opioid receipt, and predictors of long-term opioid utilization among active duty soldiers in the year following deployment.Materials and methodsThe analytic sample consisted of Army active duty soldiers returning from deployment to Operation Enduring Freedom, Operation Iraqi Freedom, or Operation New Dawn in fiscal years 2008-2014 (N = 540,738). The Heckman probit procedure was used to jointly examine predictors of any opioid prescription receipt and long-term opioid utilization (i.e., an episode of 90 days or longer where days-supply covered at least two-thirds of days) in the postdeployment year. Predictors were based on diagnoses and characteristics of opioid prescriptions.ResultsMore than one-third of soldiers (34.8%, n = 188,211) had opioid receipt, and among those soldiers, 3.3% had long-term opioid utilization (or 1.1% of the cohort, n = 6,188). The largest magnitude predictors of long-term opioid utilization were receiving a long-acting opioid within the first 30 days of the episode, diagnoses of chronic pain (no specified source), back/neck pain, or peripheral/central nervous system pain, and severe pain score in vital records.ConclusionsSoldiers returning from deployment were more likely to receive an opioid prescription than the overall active duty population, and 1.1% initiated a long-term opioid episode. We report a declining rate of opioid receipt and long-term opioid utilization among Army members from fiscal years 2008-2014. This study demonstrates that the most important predictors of opioid receipt were not demographic factors, but generally clinical indicators of acute pain or physical trauma.
| S-EPMC6329665 | biostudies-literature
Project description:BackgroundHistorically, the receipt of prescription opioids has differed among racial groups in the United States. Research has not sufficiently explored the contribution of individual health systems to these differences by examining within-system prescription opioid receipt according to race.MethodsWe used 2016 and 2017 Medicare claims data from a random 40% national sample of fee-for-service, Black and White beneficiaries 18 to 64 years of age who were attributed to health systems. We identified 310 racially diverse systems (defined as systems with ≥200 person-years each for Black and White patients). To test representativeness, we compared patient characteristics and opioid receipt among the patients in these 310 systems with those in the national sample. Within the 310 systems, regression models were used to explore the difference between Black and White patients in the following annual opioid measures: any prescription filled, short-term receipt of opioids, long-term receipt of opioids (one or more filled opioid prescriptions in all four calendar quarters of a year), and the opioid dose in morphine milligram equivalents (MME); models controlled for patient characteristics, state, and system.ResultsThe national sample included 2,197,153 person-years, and the sample served by 310 racially diverse systems included 896,807 person-years (representing 47.4% of all patients and 56.1% of Black patients in the national sample). The national sample and 310-systems sample differed meaningfully only in the percent of person-years contributed by Black patients (21.3% vs. 25.9%). In the 310-systems sample, the crude annual prevalence of any opioid receipt differed slightly between Black and White patients (50.2% vs. 52.2%), whereas the mean annual dose was 36% lower among Black patients than among White patients (5190 MME vs. 8082 MME). Within systems, the adjusted race differences in measures paralleled the population trends: the annual prevalence of opioid receipt differed little, but the mean annual dose was higher among White patients than among Black patients in 91% of the systems, and at least 15% higher in 75% of the systems.ConclusionsWithin individual health systems, Black and White patients received markedly different opioid doses. These system-specific findings could facilitate exploration of the causes and consequences of these differences. (Funded by the National Institute on Aging and the Agency for Healthcare Research and Quality.).
| S-EPMC8402927 | biostudies-literature
Project description:ImportancePrescription opioids are frequently prescribed to treat cancer-related pain. However, limited information exists regarding rates of prescription opioid use and misuse in populations with cancer.ObjectivesTo estimate the prevalence and likelihood of prescription opioid use and misuse in adult cancer survivors compared with respondents without cancer and to identify characteristics associated with prescription opioid use and misuse in adult cancer survivors.Design, setting, and participantsThis cross-sectional study is a retrospective, population-based study using data from 169 162 respondents to the National Survey on Drug Use and Health from January 2015 to December 2018. Survey data sets were queried for all respondents aged 18 years or older. Those with a reported history of cancer were termed cancer survivors and further divided into more recent (had cancer within 12 months of survey) and less recent (had cancer more than 12 months prior to survey) cohorts. Respondents with nonmelanoma skin cancer were excluded.Main outcomes and measuresPrescription opioid use and misuse within the past 12 months.ResultsAmong 169 162 respondents, 5139 (5.2%) were cancer survivors, with 1243 (1.2%) and 3896 (4.0%) reporting having more recent and less recent cancer histories, respectively. Higher rates of prescription opioid use were observed among more recent cancer survivors (54.3%; 95% CI, 50.2%-58.4%; odds ratio [OR], 1.86; 95% CI, 1.57-2.20; P < .001) and less recent cancer survivors (39.2%; 95% CI, 37.3%-41.2%; OR, 1.18; 95% CI, 1.08-1.28; P < .001) compared with respondents without cancer (30.5%, reference group). Rates of prescription opioid misuse were similar among more recent (3.5%; 95% CI, 2.4%-5.2%; OR, 1.27; 95% CI, 0.82-1.96; P = .36) and less recent (3.0%; 95% CI, 2.4%-3.6%; OR, 1.03; 95% CI, 0.83-1.28; P = .76) survivors compared with respondents without cancer (4.3%, reference group). Younger age (aged 18-34 years vs ≥65 years: OR, 7.06; 95% CI, 3.03-16.41; P < .001), alcohol use disorder (OR, 3.22; 95% CI, 1.45-7.14; P = .005), and nonopioid drug use disorder (OR, 14.76; 95% CI, 7.40-29.44; P < .001) were associated with prescription opioid misuse among cancer survivors.Conclusions and relevanceIn this study, prescription opioid use was higher among more and less recent cancer survivors compared with the population without a history of cancer. Rates of prescription opioid misuse were low and similar among all 3 cohorts. These findings suggest that higher prescription opioid use among cancer survivors may not correspond to increased short-term or long-term misuse.
| S-EPMC7431994 | biostudies-literature
Project description:A 2012 committee opinion from the American College of Obstetricians and Gynecologists highlights the considerable increase in opioid addiction in recent years, yet little is known about clinical correlates of prescribed opioids among pregnant women. This study examines clinical and demographic factors associated with the use of opioid analgesics in pregnancy. Data were derived from a prospective cohort study of pregnant women. Participants were administered the Composite International Diagnostic Interview to identify depressive and anxiety disorders and data on medication use were gathered at three assessment points and classified according to the Anatomical Therapeutic Chemical Code (ATC) classification system ATC group N02A. Participants included 2,748 English or Spanish speaking pregnant women. Six percent (n = 165) of women used opioid analgesics at any point in pregnancy. More pregnant women using opioids met diagnostic criteria for major depressive disorder (16 vs. 8 % for non users), generalized anxiety disorder (18 vs. 9 % for non users), post-traumatic stress disorder (11 vs. 4 % for non users) and panic disorder (6 vs. 4 % for non users). Women who reported opioid use were also significantly more likely than non users to report using illicit drugs and almost three times as likely to report smoking cigarettes in the second or third trimester of pregnancy (4 and 23 %, respectively) as compared to non-opioid users (0.5 and 8 %). The use of opioids in pregnancy was associated with higher levels of psychiatric comorbidity and use of other substances as compared to non-opioid users.
| S-EPMC4272915 | biostudies-literature
Project description:Despite the high prevalence of prescription opioid dependence in the U.S., little is known about the course of this disorder and long-term response to treatment. We therefore examined 18-month post-randomization outcomes of participants in the Prescription Opioid Addiction Treatment Study, a multi-site, randomized controlled trial examining varying durations of buprenorphine-naloxone treatment and different intensities of counseling for prescription opioid dependence. Thus the current follow-up study provides a unique contribution to the field by reporting longer-term outcomes of a well-characterized population of treatment-seeking prescription opioid dependent patients. Participants from the treatment trial (N=252/653) completed an 18-month follow-up telephone assessment. Multivariable analyses examined associations between participant characteristics and key indicators of month-18 status: opioid abstinence, DSM-IV opioid dependence, and opioid agonist treatment. Overall, participants showed improvement from baseline to month 18: 49.6% were abstinent in the previous 30 days, with only 16.3% opioid-dependent. Some participants, however, had initiated past-year heroin use (n=9) or opioid injection (n=17). Most participants (65.9%) engaged in substance use disorder treatment during the past year, most commonly opioid agonist therapy (48.8%). Of particular interest in this population, multivariable analysis showed that greater pain severity at baseline was associated with opioid dependence at 18 months. In conclusion, although opioid use outcomes during the treatment trial were poor immediately following a buprenorphine-naloxone taper compared to those during 12 weeks of buprenorphine-naloxone stabilization, opioid use outcomes at 18-month follow-up showed substantial improvement over baseline and were comparable to the rate of successful outcomes during buprenorphine-naloxone stabilization in the treatment trial.
| S-EPMC4250351 | biostudies-literature
Project description:To define the amount of opioid analgesics prescribed and consumed after discharge after cesarean delivery.We conducted a survey at six academic medical centers in the United States from September 2014 to March 2016. Women who had undergone a cesarean delivery were contacted by phone 2 weeks after discharge and participated in a structured interview about the opioid prescription they received on discharge and their oral opioid intake while at home.A total of 720 women were enrolled; of these, 615 (85.4%) filled an opioid prescription. The median number of dispensed opioid tablets was 40 (interquartile range 30-40), the median number consumed was 20 (interquartile range 8-30), and leftover was 15 (interquartile range 3-26). Of those with leftover opioids, 95.3% had not disposed of the excess medication at the time of the interview. There was an association between a larger number of tablets dispensed and the number consumed independent of patient characteristics. The amount of opioids dispensed did not correlate with patient satisfaction, pain control, or the need to refill the opioid prescription.The amount of opioid prescribed after cesarean delivery generally exceeds the amount consumed by a significant margin, leading to substantial amounts of leftover opioid medication. Lower opioid prescription correlates with lower consumption without a concomitant increase in pain scores or satisfaction.
| S-EPMC5600205 | biostudies-literature
Project description:ImportanceAn increase in opioid prescription has been observed in the Netherlands. It is vital to understand this increase and to identify risk factors for opioid prescription to ensure that health interventions remain appropriately targeted.ObjectivesTo determine the prevalence of opioid prescriptions and adverse events associated with opioids, and to identify risk factors associated with opioid prescription in the Dutch population.Design, setting, and participantsThis cohort study used national statistics from the Netherlands from January 1, 2013, to December 31, 2017, including the full Dutch population of 16?779?575 people in 2013 and 17?081?507 people in 2017. Data from the Dutch Health Monitor surveys of 2012 and 2016 were also included. Databases were anonymized prior to analysis. All analyses were performed between December 2018 and February 2019.ExposureOpioid prescription.Main outcomes and measuresThe main outcomes were the dynamics of opioid prescriptions, hospital admissions for opioid overdose, and opioid overdose mortalities. The secondary outcome was risk factors associated with opioid prescription.ResultsIn 2013, 814?211 individuals (4.9% of the total population) received an opioid prescription. In 2017, 1?027?019 individuals (6.0% of the total population) received at least 1 opioid prescription (mean [SD] age, 59.3 [18.5] years; 613?203 [59.7%] women). The rate of hospital admissions for opioid overdose was 9.2 per 100?000 inhabitants in 2013 and 13.1 per 100?000 inhabitants in 2017 (relative risk, 1.43 [95% CI, 1.34-1.52]). Similarly, an increased risk of opioid overdose death was observed, from 0.83 per 100?000 inhabitants in 2013 to 1.2 per 100?000 inhabitants in 2017 (relative risk, 1.49 [95% CI, 1.20-1.85]). Based on data from the 2012 Dutch Health Monitor survey, risk factors associated with opioid prescription included being older than 65 years (odds ratio [OR], 4.20 [95% CI, 3.98-4.43]), having only a primary school education (OR, 3.62 [95% CI, 3.46-3.77]), being widowed (OR, 3.30 [95% CI, 3.13-3.49]), reporting always feeling symptoms of depression (OR, 3.77 [95% CI, 3.41-4.18]), and reporting poor or very poor physical health (OR, 10.40 [95% CI, 10.01-10.81]). Self-reported back pain (OR, 4.34 [95% CI, 4.23-4.46]) and rheumatoid arthritis or fibromyalgia (OR, 3.77 [95% CI, 3.65-3.90]) were also associated with opioid prescription. However, unemployment (OR, 1.05 [95% CI, 0.96-1.13]) was not associated with opioid prescription, and alcohol use disorder (OR, 0.76 [95% CI, 0.73-0.80]) was negatively associated with opioid prescription.Conclusions and relevanceThis study found that opioid prescriptions have increased in the Netherlands. Although the risk of adverse events is still relatively low, there is an urgent need to review pain management to prevent a further increase in opioid prescription.
| S-EPMC6716286 | biostudies-literature
Project description:BackgroundWith increasing efforts to scrutinize and reduce opioid prescribing, limited data exist on the recent trend in receipt of prescription pain medications before diagnosis of opioid use disorder (OUD) or opioid-related overdose (OD).MethodsUsing 2005-2016 Truven MarketScan Commercial Claims databases, we assessed trends in annual 1) incidence of OUD or OD and 2) prevalence of receipt of prescription opioids or four commonly-prescribed adjuvant analgesics among patients newly diagnosed with OUD/OD. Trends were examined in the overall sample and by 3 age groups, including youths (≤18 years), adults (19-64 years), and older adults (≥65 years).ResultsThe incidence of diagnosed OUD or OD increased more than 3-fold from 4.99 to 23.81 per 10,000 persons from 2006 to 2016, with the highest increase (14.18-fold) seen in older adults, followed by adults (3.53-fold), and youths (0.16-fold). Between 2006 and 2016, the proportion of patients with incident OUD/OD who received anticonvulsant adjuvant analgesics in the year before diagnosis increased (from 23.4% to 34.3% [P-trend = .005]) whereas the proportion receiving high-dose prescriptions opioids decreased (from 45.5% to 34.8% [P-trend =< .001]). A decreasing trend was observed in general for tricyclic antidepressants and serotonin and norepinephrine reuptake inhibitors.DiscussionIn US commercially insured patients newly diagnosed with OUD/OD, receipt of high-dose opioid prescriptions preceding the diagnosis decreased over time, paralleled by increased use of anticonvulsants commonly prescribed for pain conditions. Further investigations are warranted to understand how prescribed and anticonvulsants contribute to the development of OUD/OD.
| S-EPMC6927577 | biostudies-literature
Project description:BackgroundRadiation oncologists (ROs) play an important role in managing cancer pain; however, their opioid prescribing patterns remain poorly described.MethodsThe 2016 Medicare Physician Compare National Downloadable and the 2016 Medicare Part D Prescriber Data files were cross-linked to identify RO-written opioid prescriptions.ResultsOf 4,627 identified ROs, 1,360 (29.3%) wrote >10 opioid prescriptions. The average number of opioid prescriptions written was significantly (P ? .05) associated with the following RO characteristics: sex [13.1 ± 36.5 male vs 7.5 ± 16.9 female]; years since medical school graduation [4.5 ± 11.5 1-10 years vs 12.6 ± 26.0 11-24 years vs 13.3 ± 40.9 ?25 years]; practice size [15.5 ± 44.6 size ?10 vs 13.3 ± 25.9 size 11-49 vs 8.5 ± 12.7 size 50-99 vs 8.8 ± 26.9 size ?100]; Medicare Physician Quality Reporting System (PQRS) participation [12.6 ± 31.8 yes vs 7.0 ± 35.4 no]; and practice location [17.4 ± 47.0 South vs 10.6 ± 29.4 Midwest vs 8.1 ± 13.9 West vs 6.9 ± 15.2 Northeast]. On multivariable regression modeling, male sex (RR 1.29, 95% CI 1.22-1.35, P < .001), ?25 years since graduation (RR 0.78, 95% CI 0.64-0.70, 1-10 years vs ?25 years; RR 1.00, 95% CI 0.96 - 1.04, 11-24 years vs ?25 years; P < .001), practice size <10 members (RR 1.51, CI 1.44-1.59, ?10 vs ?100 members, RR 1.27, CI 1.20-1.34, 10-49 vs ?100 members, RR 0.86, CI 0.80-0.92, 50-99 vs ?100 members, P < .001), PQRS participation (RR 1.12, CI 1.04-1.19, P < .002), and Southern location (RR 0.67, CI 0.64-0.70, Midwest vs South; RR 0.39, CI 0.37-0.41, Northeast vs South; RR 0.43, CI 0.41-0.46, West vs South; P < .001) were predictive of higher opioid prescription rates.ConclusionsFactors associated with increased number of RO-written opioid prescriptions were male sex, ?25 years since graduation, group practice <10, PQRS participation, and Southern location. Additional research is required to establish optimal opioid prescribing practices for ROs.
| S-EPMC7221425 | biostudies-literature
Project description:ObjectivesIt is important to analyze the types of etiologies and provider demographics that drive opioid prescription in our emergency departments. Our study aimed to determine which patients in the ED are receiving opioid prescriptions, as well as their strength and quantity. Secondary outcomes included identifying difference in prescribing between provider classes.MethodsWe conducted a retrospective study at a tertiary care university-based, level-one trauma ED from November 2017 to October 2018. We identified and analyzed data from 2,259 patients who were sent home with an opioid prescription. We retrieved patient and provider demographics, diagnosis, etiologies, and prescription information.ResultsThe mean age of a patient receiving an opioid prescription was 45, and 72.7% of patients were white. The most common diagnosis groups associated with an opioid prescription were abdominal pain (18.5%), nonfracture extremity pain (18.4%), and back/neck pain (12.5%). Hydrocodone-acetaminophen 5-325 mg was the most commonly prescribed (67.4%). The median total prescribed milligram morphine equivalent (MME) was highest for extremity fracture (75.0; IQR 54.0-100.0). The median total prescribed amount of pills was highest for patients with extremity fractures (15.0; IQR 12.0-20.0).ConclusionsOur study elucidates the prescribing patterns of an academic level 1 trauma center and should pave the way for future studies looking to maximize effectiveness at ways to curb ED opioid prescription.
| S-EPMC7837768 | biostudies-literature