Association of Opioid Prescribing Patterns With Prescription Opioid Overdose in Adolescents and Young Adults

Trends in Emergency Department Visits for Nonfatal Opioid Overdoses Among Adolescents

PURPOSE

Opioid-related deaths are increasing among adolescents. An improved understanding of emergency department (ED) visits for nonfatal opioid overdoses may inform treatment strategies to prevent subsequent morbidity and mortality. The objective of this study was to investigate trends in ED visits for nonfatal opioid overdoses among adolescents and assess rates and characteristics of 1-year ED revisits.

METHODS

We performed a retrospective cohort study of the Pediatric Health Information System database involving adolescent (12-17 years) nonfatal opioid overdoses between January 2010 and December 2022. The primary outcome was 1-year ED revisit after nonfatal opioid overdose. Opioid overdose trends were assessed using a negative binomial regression model.

RESULTS

There were 1,874 ED visits for nonfatal opioid overdoses by adolescents. The majority (79.4%) of these were attributed to prescription opioids. Visits for opioid overdoses were stable over the course of the study period, with 32.7 and 30.3 opioid overdoses per 100,000 ED visits in 2010 and 2022 (incidence rate ratio 0.999 [95% confidence interval 0.981-1.017]), respectively. There were 516 (27.5%) visits associated with an ED revisit. Among these, 203 (39.3%) were for a mental health condition, 98 (19.0%) related to a traumatic injury, and 25 (4.8%) for a repeat opioid overdose.

DISCUSSION

ED visits for nonfatal opioid overdoses have remained stable among adolescents. The most commonly documented indication for revisits were due to a mental health complaint, highlighting the need to ensure that appropriate mental health services and referrals are consistently provided at these visits.

Randomized clinical trial of non-opioid pain medications after intracapsular adenotonsillectomy

BACKGROUND

Our purpose was to determine if non-opioid pain control is safe and effective in the treatment of pain following intracapsular adenotonsillectomy (T&A).

METHODS

A randomized, open-label, controlled trial of children ages 3-17 undergoing intracapsular T&A was conducted at a tertiary children's hospital April 2021-May 2023. Exclusions were concomitant procedures, Down syndrome, coagulopathy, craniofacial anomalies, and current opioid use. Participants were randomized to receive a prescription for oxycodone (opioid group) or not (non-opioid group). All patients received ibuprofen/acetaminophen. The primary outcome, average Wong-Baker FACES pain scores on post-operative days 0-14, was compared between groups using t-tests. The secondary outcome, emergency department (ED)/urgent care visits, was compared using logistic regression.

RESULTS

Age (median 4, range 3-12) and gender (42/70, 60 % male) were similar in both groups. Pain diaries were returned by 21/36 (58 %) in the opioid group and 23/34 (68 %) of the non-opioid group. Average pain was not different between groups before (opioid: mean 3.2, 95 % CI 2.5-3.8; non-opioid: mean 3.3, 95 % CI 2.5-4.0) or after (opioid: mean: 1.1, 95 % CI 0.6-1.5; non-opioid mean: 1.0, 95 % CI 0.5-1.5) analgesics. Only 7/21 (33 %) of the opioid group took ≥1 dose of oxycodone; no patients in the non-opioid group requested an opioid prescription. There were no differences in peak pain scores, duration of analgesic use, ED/urgent care visits, or caregiver-reported symptoms or satisfaction between groups.

CONCLUSIONS

Pain scores were low compared with previous reports in children undergoing extracapsular T&A, suggesting non-opioid management is appropriate for pain control in this population.

Morphine versus hydromorphone in pediatrics: a narrative review of latest indications and optimal use in neonates and children

The management of pain in pediatrics is multimodal and includes non-pharmacologic and pharmacologic approaches. Opioids, and particularly morphine and hydromorphone, are frequently used to treat moderate-to-severe pain. The goals of this review are to describe the pharmacological characteristics of both drugs, to cover the latest evidence of their respective indications, and to promote their safe use in pediatrics. Morphine is the most studied opioid in children and is known to be safe and effective. Morphine and hydromorphone can be used to manage acute pain and are usually avoided when treating chronic non-cancer pain. Current evidence suggests that both opioids have a similar efficacy and adverse effect profile. Hydromorphone has not been studied in neonates but in some centers, it has been used instead of morphine for certain patients. In palliative care, the use of opioids is often indicated and their benefits extend beyond analgesia; indications include treatment of central neuropathic pain in children with severe neurologic impairment and treatment of respiratory distress in the imminently dying patients. The longstanding belief that the use of well-titrated opioids hastens death should be abandoned as robust evidence has shown the opposite. With the current opioid crisis, a responsible use of opioids should be promoted, including limiting the opioid prescription to the patient's anticipated needs, optimizing a multimodal analgesic plan including the use of non-pharmacological measures and non-opioid medications, and providing information on safe storage and disposal to patients and families. More data is needed to better guide the use of morphine and hydromorphone in children.

Opioid Prescribing for Acute Pain Management in Children and Adolescents in Outpatient Settings: Clinical Practice Guideline

This is the first clinical practice guideline (CPG) from the American Academy of Pediatrics outlining evidence-based approaches to safely prescribing opioids for acute pain in outpatient settings. The central goal is to aid clinicians in understanding when opioids may be indicated to treat acute pain in children and adolescents and how to minimize risks (including opioid use disorder, poisoning, and overdose). The document also seeks to alleviate disparate pain treatment of Black, Hispanic, and American Indian/Alaska Native children and adolescents, who receive pain management that is less adequate and less timely than that provided to white individuals. There may also be disparities in pain treatment based on language, socioeconomic status, geographic location, and other factors, which are discussed. The document recommends that clinicians treat acute pain using a multimodal approach that includes the appropriate use of nonpharmacologic therapies, nonopioid medications, and, when needed, opioid medications. Opioids should not be prescribed as monotherapy for children or adolescents who have acute pain. When using opioids for acute pain management, clinicians should prescribe immediate-release opioid formulations, start with the lowest age- and weight-appropriate doses, and provide an initial supply of 5 or fewer days, unless the pain is related to trauma or surgery with expected duration of pain longer than 5 days. Clinicians should not prescribe codeine or tramadol for patients younger than 12 years; adolescents 12 to 18 years of age who have obesity, obstructive sleep apnea, or severe lung disease; to treat postsurgical pain after tonsillectomy or adenoidectomy in patients younger than 18 years; or for any breastfeeding patient. The CPG recommends providing opioids when appropriate for treating acutely worsened pain in children and adolescents who have a history of chronic pain; clinicians should partner with other opioid-prescribing clinicians involved in the patient's care and/or a specialist in chronic pain or palliative care to determine an appropriate treatment plan. Caution should be used when treating acute pain in those who are taking sedating medications. The CPG describes potential harms of discontinuing or rapidly tapering opioids in individuals who have been on stable, long-term opioids to treat chronic pain. The guideline also recommends providing naloxone and information on naloxone, safe storage and disposal of opioids, and direct observation of medication administration. Clinicians are encouraged to help caregivers develop a plan for safe disposal. The CPG contains 12 key action statements based on evidence from randomized controlled trials, high-quality observational studies, and, when studies are lacking or could not feasibly or ethically be conducted, from expert opinion. Each key action statement includes a level of evidence, the benefit-harm relationship, and the strength of recommendation.

Cannabis Laws and Utilization of Medications for the Treatment of Mental Health Disorders

Importance

Mental health disorders are prevalent yet undertreated health conditions in the US. Given perceptions about the potential effect of cannabis on individuals with mental health disorders, there is a need to understand the association of cannabis laws with psychotropic use.

Objective

To investigate the association of medical and recreational cannabis laws and dispensary openings with the dispensing of psychotropic medications used to treat mental health disorders in the US.

Design, Setting, and Participants

This cross-sectional study of 10 013 948 commercially insured patients used a synthetic control method to examine the association of cannabis policies with prescribing. Data on all patients dispensed prescriptions for each of the 5 classes of psychotropic medications from January 1, 2007, to December 31, 2020, were extracted from Optum's deidentified Clinformatics Data Mart Database. Statistical analysis was performed from September 2022 to November 2023.

Exposures

The 4 exposure variables measured were whether medical or recreational cannabis laws were in effect and whether medical or recreational cannabis dispensaries were open in each state and calendar quarter.

Main Outcome and Measures

One measure of the extensive margins of dispensing and 2 measures of the intensive margins of dispensing were constructed for 5 medication classes (benzodiazepines, antidepressants, antipsychotics, barbiturates, and sleep medications).

Results

The primary sample (the benzodiazepine sample) included 3 848 721 patients (mean [SD] age, 46.1 [11.4] years; 65.4% women; 53.7% aged 35-54 years). Medical cannabis laws were associated with a 12.4% reduction in the benzodiazepine fill rate (average treatment effect on the treated [ATT], -27.4; 95% CI, -14.7 to 12.0; P = .001), recreational cannabis laws were associated with a 15.2% reduction in the fill rate (ATT, -32.5; 95% CI, -24.4 to 20.1; P = .02), and medical cannabis laws were associated with a 1.3% reduction in the mean number of benzodiazepine fills per patient (ATT, -0.02; 95% CI, -0.02 to 0.02; P = .04). Medical dispensaries were associated with a 3.9% reduction in mean days' supply per benzodiazepine fill (ATT, -1.7; 95% CI, -0.8 to 0.6; P = .001), while recreational dispensaries were associated with a 6.2% reduction (ATT, -2.4; 95% CI, -1.0 to 0.9; P < .001). Medical cannabis laws were associated with a 3.8% increase in antidepressant fills (ATT, 27.2; 95% CI, -33.5 to 26.9; P = .048), and medical dispensaries were associated with an 8.8% increase (ATT, 50.7; 95% CI, -32.3 to 28.4; P = .004). The mean number of antipsychotic medication fills per patient increased by 2.5% (ATT, 0.06; 95% CI, -0.04 to 0.05; P = .02) after medical cannabis laws and by 2.5% (ATT, 0.06; 95% CI, -0.04 to 0.04; P = .02) after medical dispensary openings. Findings for the other drug classes showed substantial heterogeneity by state and direction of association.

Conclusions and Relevance

This cross-sectional study of commercially insured patients suggests that there may have been meaningful heterogeneous associations between cannabis policy and state and between cannabis policy and drug class (eg, decreases in dispensing of benzodiazepines but increases in dispensing of antidepressants and antipsychotics). This finding suggests additional clinical research is needed to understand the association between cannabis use and mental health. The results have implications for patient substance use and mental health-related outcomes.

Preoperative vs Postoperative Opioid Prescriptions and Prolonged Opioid Refills Among US Youths

Importance

High-risk practices, including dispensing an opioid prescription before surgery when not recommended, remain poorly characterized among US youths and may contribute to new persistent opioid use.

Objective

To characterize changes in preoperative, postoperative, and refill opioid prescriptions up to 180 days after surgery.

Design, Setting, and Participants

This retrospective cohort study was performed using national claims data to determine opioid prescribing practices among a cohort of opioid-naive youths aged 11 to 20 years undergoing 22 inpatient and outpatient surgical procedures between 2015 and 2020. Statistical analysis was performed from June 2023 to April 2024.

Main Outcomes and Measures

The primary outcome was the percentage of initial opioid prescriptions filled up to 14 days prior to vs 7 days after a procedure. Secondary outcomes included the likelihood of a refill up to 180 days after surgery, including refills at 91 to 180 days, as a proxy for new persistent opioid use, and the opioid quantity dispensed in the initial and refill prescriptions in morphine milligram equivalents (MME). Exposures included patient and prescriber characteristics. Multivariable logistic regression models were used to estimate the association between prescription timing and prolonged refills.

Results

Among 100 026 opioid-naive youths (median [IQR] age, 16.0 [14.0-18.0] years) undergoing a surgical procedure, 46 951 (46.9%) filled an initial prescription, of which 7587 (16.2%) were dispensed 1 to 14 days before surgery. The mean quantity dispensed was 227 (95% CI, 225-229) MME; 6467 youths (13.8%) filled a second prescription (mean MME, 239 [95% CI, 231-246]) up to 30 days after surgery, and 1216 (3.0%) refilled a prescription 91 to 180 days after surgery. Preoperative prescriptions, increasing age, and procedures not typically associated with severe pain were most strongly associated with new persistent opioid use.

Conclusions and Relevance

In this retrospective study of youths undergoing surgical procedures, of which, many are typically not painful enough to require opioid use, opioid dispensing declined, but approximately 1 in 6 prescriptions were filled before surgery, and 1 in 33 adolescents filled prescriptions 91 to 180 days after surgery, consistent with new persistent opioid use. These findings should be addressed by policymakers and communicated by professional societies to clinicians who prescribe opioids.

Qualitative Evaluation Informs the Implementation of a Telehealth Program to Manage Chronic Pain

In response to the opioid epidemic and high rates of chronic pain among the veteran population, the U.S. Department of Veterans Affairs implemented the TelePain-Empower Veterans Program (EVP), a nonpharmacological pain management program for veterans. Delivered virtually, TelePain-EVP incorporates integrated health components (Whole Health, Acceptance and Commitment Therapy, and Mindful Movement) through interdisciplinary personalized coaching. The objective of this quality improvement project was to evaluate the implementation of TelePain-EVP to identify determinants to implementation, benefits and challenges to participation, and recommendations for future direction. We used a qualitative descriptive design to conduct semistructured telephone interviews with TelePain-EVP leaders (n = 3), staff (n = 10), and veterans (n = 22). The interview guides aligned with the Consolidated Framework for Implementation Research (CFIR). Thematic content analysis organized and characterized findings. Several CFIR domains emerged as determinants relevant to program implementation, including innovation (eg, design); individuals (eg, deliverers, recipients); inner (eg, communications) and outer settings (eg, local conditions); and implementation process (eg, reflecting and evaluating). Identified determinants included facilitators (eg, virtual delivery) and barriers (eg, staff shortages). Participants reported improvements in pain management coping skills, interpersonal relationships, and sense of community, but no self-reported reductions in pain or medication use. Program improvement recommendations included using centralized staff to address vacancies, collecting electronic data, offering structured training, and providing course materials to veteran participants. Qualitative data can inform the sustained implementation of TelePain-EVP and other similar telehealth pain management programs. These descriptive data should be triangulated with quantitative data to objectively assess participant TelePain-EVP outcomes and associated participant characteristics. PERSPECTIVE: A qualitative evaluation of a telehealth program to manage chronic pain, guided by the CFIR framework, identified determinants of program implementation. Additionally, participants reported improvements in pain management coping skills, interpersonal relationships, and sense of community, but no self-reported reductions in pain or medication use.

Pediatric Surgical Opioid Prescribing by Procedure, 2020-2021

BACKGROUND AND OBJECTIVES

Surgery is one of the most common indications for opioid prescribing to pediatric patients. We identified which procedures account for the most pediatric surgical opioid prescribing.

METHODS

We conducted a cross-sectional analysis of commercial and Medicaid claims in the Merative MarketScan Commercial and Multi-State Medicaid Databases. Analyses included surgical procedures for patients aged 0 to 21 years from December 1, 2020, to November 30, 2021. Procedures were identified using a novel crosswalk between 3664 procedure codes and 1082 procedure types. For each procedure type in the crosswalk, we calculated the total amount of opioids in prescriptions dispensed within 3 days of discharge from surgery, as measured in morphine milligram equivalents (MMEs). We then calculated the share of all MMEs accounted for by each procedure type. We conducted analyses separately among patients aged 0 to 11 and 12 to 21 years.

RESULTS

Among 107 597 procedures for patients aged 0 to 11 years, the top 3 procedures accounted for 59.1% of MMEs in opioid prescriptions dispensed after surgery: Tonsillectomy and/or adenoidectomy (50.3%), open treatment of upper extremity fracture (5.3%), and removal of deep implants (3.5%). Among 111 406 procedures for patients aged 12 to 21 years, the top 3 procedures accounted for 33.1% of MMEs: Tonsillectomy and/or adenoidectomy (12.7%), knee arthroscopy (12.6%), and cesarean delivery (7.8%).

CONCLUSIONS

Pediatric surgical opioid prescribing is concentrated among a small number of procedures. Targeting these procedures in opioid stewardship initiatives could help minimize the risks of opioid prescribing while maintaining effective postoperative pain control.

Benefits, Harms, and Stakeholder Perspectives Regarding Opioid Therapy for Pain in Individuals With Metastatic Cancer: Protocol for a Descriptive Cohort Study

BACKGROUND

Opioids are a key component of pain management among patients with metastatic cancer pain. However, the evidence base available to guide opioid-related decision-making in individuals with advanced cancer is limited. Patients with advanced cancer or cancer that is unlikely to be cured frequently experience pain. Opioids are a key component of pain management among patients with metastatic cancer pain. Many individuals with advanced cancer are now living long enough to experience opioid-related harm. Emerging evidence from chronic noncancer pain literature suggests that longer-term opioid therapy may have limited benefits for pain and function, and opioid-related harms are also a major concern. However, whether these benefits and harms of opioids apply to patients with cancer-related pain is unknown.

OBJECTIVE

This manuscript outlines the protocol for the "Opioid Therapy for Pain in Individuals With Metastatic Cancer: The Benefits, Harms, and Stakeholder Perspectives (BEST) Study." The study aims to better understand opioid decision-making in patients with advanced cancer, along with opioid benefits and harms, through prospective examination of patients' pain experiences and opioid side effects and understanding the decision-making by patients, care partners, and clinicians.

METHODS

This is a multicenter, prospective cohort study that aims to enroll 630 patients with advanced cancer, 20 care partners, and 20 clinicians (670 total participants). Patient participants must have an advanced solid cancer diagnosis, defined by the American Cancer Society as cancer that is unlikely to be cured. We will recruit patient participants within 12 weeks after diagnosis so that we can understand opioid benefits, harms, and perspectives on opioid decision-making throughout the course of their advanced cancer (up to 2 years). We will also specifically elicit information regarding long-term opioid use (ie, opioids for ≥90 consecutive days) and exclude patients on long-term opioid therapy before an advanced cancer diagnosis. Lived-experience perspectives related to opioid use in those with advanced cancer will be captured by qualitative interviews with a subset of patients, clinicians, and care partners. Our data collection will be grounded in a behavioral decision research approach that will allow us to develop future interventions to inform opioid-related decision-making for patients with metastatic cancer.

RESULTS

Data collection began in October 2022 and is anticipated to end by November 2024.

CONCLUSIONS

Upon successful execution of our study protocol, we anticipate the development of a comprehensive evidence base on opioid therapy in individuals with advanced cancer guided by the behavioral decision research framework. The information gained from this study will be used to guide interventions to facilitate opioid decisions among patients, clinicians, and care partners. Given the limited evidence base about opioid therapy in people with cancer, we envision this study will have significant real-world implications for cancer-related pain management and opioid-related clinical decision-making.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/54953.

Perioperative Opioid-Related Harms: Opportunities to Minimize Risk

Although substantial attention has been given to opioid prescribing in the United States, opioid-related mortality continues to climb due to the rising incidence and prevalence of opioid use disorder. Perioperative care has an important role in the consideration of opioid prescribing and the care of individuals at risk for poor postoperative pain- and opioid-related outcomes. Opioids are effective for acute pain management and commonly prescribed for postoperative pain. However, failure to align prescribing with patient need can result in overprescribing and exacerbate the flow of unused opioids into communities. Conversely, underprescribing can result in the undertreatment of pain, complicating recovery and impairing well-being after surgery. Optimizing pain management can be particularly challenging for individuals who are previously exposed to opioids or have critical risk factors, including opioid use disorder. In this review, we will explore the role of perioperative care in the broader context of the opioid epidemic in the United States, and provide considerations for a multidisciplinary, comprehensive approach to perioperative pain management and optimal opioid stewardship.

Development and expansion of a pediatric transitional pain service to prevent complex chronic pain

The prevention of chronic pain is a key priority in North America and around the world. A novel pediatric Transitional Pain Service (pTPS) at the Hospital for Sick Children was established to address four main areas of need, which the authors will describe in more detail: (1) provide comprehensive multi-modal pain management and prevention techniques to children at-risk for the development of chronic pain, (2) provide opioid stewardship for children at-risk for chronic pain and their families at home after discharge, (3) facilitate continuity of pain care for children across transitions between inpatient and outpatient care settings, and (4) support caregivers to manage their child's pain at home. The pTPS works with healthcare providers, patients, and their families to address these areas of need and improve quality of life. Furthermore the service fills the gap between inpatient acute pain services and outpatient chronic pain services (accessible only once pain has persisted for >3 months). In pediatric patients who experience pain in hospital and who have been prescribed opioids, discharge to home or rehabilitation may represent a vulnerable time in which pain may persist and during which analgesic requirements may change. This offers an important opportunity to address and prevent the development of chronic pain, and to monitor opioids while ensuring alternative pain therapy is available. The authors will outline risk factors for persistent postsurgical pain, the development and implementation of a pTPS, present initial clinical outcomes andsuggest areas for future research in this evolving area of care.

Predictors of fatal and nonfatal overdose after prescription of opioids for chronic pain: a systematic review and meta-analysis of observational studies

BACKGROUND

Higher doses of opioids, mental health comorbidities, co-prescription of sedatives, lower socioeconomic status and a history of opioid overdose have been reported as risk factors for opioid overdose; however, the magnitude of these associations and their credibility are unclear. We sought to identify predictors of fatal and nonfatal overdose from prescription opioids.

METHODS

We systematically searched MEDLINE, Embase, CINAHL, PsycINFO and Web of Science up to Oct. 30, 2022, for observational studies that explored predictors of opioid overdose after their prescription for chronic pain. We performed random-effects meta-analyses for all predictors reported by 2 or more studies using odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Twenty-eight studies (23 963 716 patients) reported the association of 103 predictors with fatal or nonfatal opioid overdose. Moderate- to high-certainty evidence supported large relative associations with history of overdose (OR 5.85, 95% CI 3.78-9.04), higher opioid dose (OR 2.57, 95% CI 2.08-3.18 per 90-mg increment), 3 or more prescribers (OR 4.68, 95% CI 3.57-6.12), 4 or more dispensing pharmacies (OR 4.92, 95% CI 4.35-5.57), prescription of fentanyl (OR 2.80, 95% CI 2.30-3.41), current substance use disorder (OR 2.62, 95% CI 2.09-3.27), any mental health diagnosis (OR 2.12, 95% CI 1.73-2.61), depression (OR 2.22, 95% CI 1.57-3.14), bipolar disorder (OR 2.07, 95% CI 1.77-2.41) or pancreatitis (OR 2.00, 95% CI 1.52-2.64), with absolute risks among patients with the predictor ranging from 2-6 per 1000 for fatal overdose and 4-12 per 1000 for nonfatal overdose.

INTERPRETATION

We identified 10 predictors that were strongly associated with opioid overdose. Awareness of these predictors may facilitate shared decision-making regarding prescribing opioids for chronic pain and inform harm-reduction strategies SYSTEMATIC REVIEW REGISTRATION: Open Science Framework (https://osf.io/vznxj/).

Childhood abuse and opioid prescription use in adulthood: Differences between non-Hispanic Whites and non-Hispanic Blacks in the United States

Despite the rapid rise in opioid prescription medication usage, little research has examined the role of early life adversity, such as childhood abuse, particularly in the context of race, in opioid prescription usage in adulthood. Guided by the life course perspective, the current study investigates whether experiencing childhood abuse increases the risk of opioid prescription use in adulthood and whether this association varies by race. Data were sourced from the second wave of the Midlife in the United States (MIDUS) study (2004-2005). The analytic sample consisted of two groups: non-Hispanic Whites (n = 714) and non-Hispanic Blacks (n = 151). Opioid prescription use was identified from the participants' medication list using the MULTUM Lexicon Drug Database Classification System. Three types of childhood abuse-emotional, physical, and sexual-were assessed via summary scales derived from the Childhood Trauma Questionnaire. The results indicate a significant interaction between childhood physical abuse and race. Among non-Hispanic Whites, higher exposure to physical abuse during childhood was associated with greater odds of opioid prescription use in adulthood, even after adjusting for chronic pain, physical and mental health, and sociodemographic characteristics. However, the association between childhood physical abuse and opioid prescription use in adulthood was non-significant among non-Hispanic Black individuals. These findings underscore the long-term adverse health effects of physical abuse in childhood, particularly for non-Hispanic Whites, and suggest support for developing and implementing tailored intervention strategies.

Trends in dispensed prescriptions for opioids, sedatives, benzodiazepines, gabapentin, and stimulants to children by general dentists, 2012-2019

PURPOSE

Opioids, benzodiazepines and sedatives can manage dental pain, fear and anxiety but have a narrow margin of safety in children. General dentists may inappropriately prescribe gabapentin and stimulants. National evidence on dispensing rates of these high-alert medicines by dentists to children is limited.

METHODS

We utilize join-point regression to identify changes in fills for opioids, sedatives, benzodiazepines, gabapentin, and stimulants to children <18 years from 2012 to 2019 in a national dataset comprising 92% of dispensed outpatient prescriptions by dentists.

RESULTS

From 2012 to 2019, 3.8 million children filled prescriptions for high-alert drugs from general dentists. National quarterly dispensing of high-alert drugs decreased 63.1%, from 10456.0 to 3858.8 days per million. Opioids accounted for 69.4% of high-alert prescriptions. From 2012 to 2019, fills for opioids, sedatives, benzodiazepines, and stimulants decreased by 65.2% (7651.8 to 2662.7), 43.4% (810.9 to 458.7), 43.6% (785.7 to 442.7) and 89.3% (825.6 to 88.6 days per million), respectively. Gabapentin increased 8.1% (121.8 to 131.7 days per million). A significant decrease in high-alert fills occurred in 2016, (-6.0% per quarter vs. -1.6% pre-2016, P-value<0.001), especially for opioids (-7.0% vs. -1.2%, P-value<0.001). Older teenagers (15-17 years) received 42.5% of high-alert prescriptions. Low-income counties in the South were overrepresented among top-prescribing areas in 2019.

CONCLUSIONS

We found promising national decreases in fills for high-alert medicines to children by general dentists from 2012 to 2019. However, older teenagers and children in some counties continued to receive dental opioids at high rates. Future efforts should address non-evidence-based pain management in these groups.

Empower Veterans Program (EVP): a chronic pain management program demonstrates positive outcomes among veterans

BACKGROUND

Chronic pain is a highly prevalent health condition among veterans. Traditional pharmacological interventions present unique challenges for chronic pain management including prescription opioid addiction and overdose. In alignment with the 2016 Comprehensive Addiction and Recovery Act and VA's Stepped Care Model to meet veterans' pain management needs, the Offices of Rural Health and Pain Management, Opioid Safety, and Prescription Drug Monitoring Program (PMOP) funded an enterprise-wide initiative to implement a Step 3 integrated tele-pain program: Empower Veterans Program (EVP). EVP provides veterans with chronic pain self-care skills using a whole health driven approach to pain management.

OBJECTIVES

The Comprehensive Addiction and Recovery Act prompted the strategic approach to offer non-pharmacological options to meet veterans' pain management needs. EVP, a 10-week interdisciplinary group medical appointment, leverages Acceptance and Commitment Therapy, Mindful Movement, and Whole Health to provide veterans with chronic pain self-care skills. This evaluation was conducted to describe participant characteristics, graduation, and satisfaction rates; and assess pre-post patient-reported outcomes (PRO) associated with EVP participation.

METHODS

A sample of 639 veterans enrolled in EVP between May, 2015 and December, 2017 provided data to conduct descriptive analyses to assess participant demographics, graduation, and satisfaction rates. PRO data were analyzed using a within-participants pre-post design, and linear mixed-effects models were used to examine pre-post changes in PRO.

RESULTS

Of 639 participants, 444 (69.48%) graduated EVP. Participant median program satisfaction rating was 8.41 (Interquartile Range: 8.20-9.20). Results indicate pre-post EVP improvements (Bonferroni-adjusted p < .003) in the three primary pain outcomes (intensity, interference, catastrophizing), and 12 of 17 secondary outcomes, including physical, psychological, health-related quality of life (HRQoL), acceptance, and mindfulness measures.

DISCUSSION

Data suggest that EVP has significant positive outcomes in pain, psychological, physical, HRQoL, acceptance, and mindfulness measures for veterans with chronic pain through non-pharmacological means. Future evaluations of intervention dosing effect and long-term effectiveness of the program is needed.

High-risk Opioid Prescribing Associated with Postoperative New Persistent Opioid Use in Adolescents and Young Adults

OBJECTIVE

In this study, we explored which postoperative opioid prescribing practices were associated with persistent opioid use among adolescents and young adults.

BACKGROUND

Approximately 5% of adolescents and young adults develop postoperative new persistent opioid use. The impact of physician prescribing practices on persistent use among young patients is unknown.

METHODS

We identified opioid-naïve patients aged 13 to 21 who underwent 1 of 13 procedures (2008-2016) and filled a perioperative opioid prescription using commercial insurance claims (Optum Deidentified Clinformatics Data Mart Database). Persistent use was defined as ≥ 1 opioid prescription fill 91 to 180 days after surgery. High-risk opioid prescribing included overlapping opioid prescriptions, co-prescribed benzodiazepines, high daily prescribed dosage, long-acting formulations, and multiple prescribers. Logistic regression modeled persistent use as a function of exposure to high-risk prescribing, adjusted for patient demographics, procedure, and comorbidities.

RESULTS

High-risk opioid prescribing practices increased from 34.9% to 43.5% over the study period; the largest increase was in co-prescribed benzodiazepines (24.1%-33.4%). High-risk opioid prescribing was associated with persistent use (aOR 1.235 [1.12,1.36]). Receipt of prescriptions from multiple opioid prescribers was individually associated with persistent use (aOR 1.288 [1.16,1.44]). The majority of opioid prescriptions to patients with persistent use beyond the postoperative period were from nonsurgical prescribers (79.6%).

CONCLUSIONS

High-risk opioid prescribing practices, particularly receiving prescriptions from multiple prescribers across specialties, were associated with a significant increase in adolescent and young adult patients' risk of persistent opioid use. Prescription drug monitoring programs may help identify young patients at risk of persistent opioid use.

Paravertebral Blocks in Tissue Expander Breast Reconstruction: Propensity-Matched Analysis of Opioid Consumption and Patient Outcomes

BACKGROUND

The paravertebral block (PVB) is an adjunctive perioperative pain control method for patients undergoing breast reconstruction that may improve perioperative pain control and reduce narcotic use. This study determined the efficacy of preoperative PVBs for perioperative pain management in patients undergoing tissue expander breast reconstruction.

METHODS

A retrospective review was performed of patients who underwent tissue expander breast reconstruction from December of 2017 to September of 2019. Two patients with PVBs were matched using propensity scoring to one no-block patient. Perioperative analgesic use, pain severity scores on days 2 to 10 after discharge, and BREAST-Q Physical Well-Being scores before surgery and at 2 weeks, 6 weeks, and 3 months after surgery were compared between the two groups.

RESULTS

The propensity-matched cohort consisted of 471 patients (314 PVB and 157 no block). The PVB group used significantly fewer morphine milligram equivalents than the no-block group (53.7 versus 69.8; P < 0.001). Average daily postoperative pain severity scores were comparable, with a maximum difference of 0.3 points on a 0-point to 4-point scale. BREAST-Q Physical Well-Being scores were significantly higher for the PVB group than the no-block group at 6 weeks after surgery (60.6 versus 51.0; P = 0.015) but did not differ significantly at 2 weeks or 3 months after surgery.

CONCLUSIONS

PVBs may help reduce perioperative opioid requirements but did not reduce pain scores after discharge when used as part of an expander-based reconstruction perioperative pain management protocol. Continued research should examine additional or alternative regional block procedures as well as financial cost and potential long-term impact of PVBs.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Therapeutic, III.

Association of Prescription Drug Monitoring Programs With Opioid Prescribing and Overdose in Adolescents and Young Adults

STUDY OBJECTIVE

Prescription opioid use is associated with substance-related adverse outcomes among adolescents and young adults through a pathway of prescribing, diversion and misuse, and addiction and overdose. Assessing the effect of current prescription drug monitoring programs (PDMPs) on opioid prescribing and overdoses will further inform strategies to reduce opioid-related harms.

METHODS

We performed interrupted time series analyses to measure the association between state-level implementation of PDMPs with annual opioid prescribing and opioid-related overdoses in adolescents (13 to 18 years) and young adults (19 to 25 years) between 2008 and 2019. We focused on PDMPs that included mandatory reviews by providers. Data were obtained from a commercial insurance company.

RESULTS

Among 9,344,504 adolescents and young adults, 1,405,382 (15.0%) had a dispensed opioid prescription, and 6,262 (0.1%) received treatment for an opioid-related overdose. Mandated PDMP review was associated with a 4.2% (95% CI, 1.9% to 6.4%) reduction in annual opioid dispensations among adolescents and a 7.8% (95% CI, 4.7% to 10.9%) annual reduction among young adults. For opioid-related overdoses, mandated PDMP review was associated with a 16.1% (95% CI, 3.8 to 26.7) and 15.9% (95% CI, 7.6 to 23.4) reduction in annual opioid overdoses for adolescents and young adults, respectively.

CONCLUSION

PDMPs were associated with sustained reductions in opioid prescribing and overdoses in adolescents and young adults. Although these findings support the value of mandated PDMPs as part of ongoing strategies to reduce opioid overdoses, further studies with prospective study designs are needed to characterize the effect of these programs fully.

Association between prescribed opioid dose and risk of motor vehicle crashes

ABSTRACT

Opioid-involved motor vehicle traffic fatalities have increased over the past 2 decades. However, the extent to which prescribed opioids increase the risk of motor vehicle crashes remains uncertain. This study used real-world healthcare claims data to examine the association between prescription opioid dose and motor vehicle crash risk. Using nationwide US commercial insurance claims data for 2010 to 2018, we identified 772,404 adults who received incident, noncancer opioid therapy. We examined associations between daily prescription opioid dose, calculated in morphine milligram equivalents (MME) from filled prescription claims, and risk of motor vehicle crashes, assessed as diagnoses of motor vehicle injuries in claims for emergency visits, inpatient hospitalizations, and ambulance transportation. We estimated associations using a within-individual design, which ruled out all time-stable confounding. We complemented the design with time-varying statistical adjustment for other pharmacotherapies and a negative control pain pharmacotherapy analysis (with incident cyclic antidepressant prescriptions). During 2,150,009 person-years of follow-up, there were 12,123 motor vehicle crashes (5.64 crashes per 1000 person-years). In within-individual comparisons, crash risk was greater during opioid prescription periods involving doses ≤60 MME/day (odds ratio [OR], 3.86; 95% confidence interval [CI], 3.54, 4.21), >60 to 120 MME/day (OR, 5.46; 95% CI, 4.44, 6.73), and >120 MME/day (OR, 3.45; 95% CI, 2.31, 5.15) than during off-treatment periods. The negative control analysis supported the specificity of the results to opioids rather than to other processes associated with pharmacologic pain management. These findings suggest that the receipt of prescription opioids, even at doses ≤60 MME/day, is associated with an increased risk of motor vehicle crashes.

Association of prescription drug monitoring programs with benzodiazepine prescription dispensation and overdose in adolescents and young adults

INTRODUCTION

Prescription drug monitoring programs are state-run databases designed to support safe prescribing of controlled substances and reduce prescription drug misuse. We analyzed healthcare claims data to determine the association between prescription drug monitoring programs with mandated provider review and adolescent and young adult benzodiazepine prescription dispensing and overdose.

METHODS

We performed a state-level retrospective cohort study to evaluate the association between implementation of prescription drug monitoring programs with mandated provider review and benzodiazepine prescription dispensing and benzodiazepine-related overdoses among adolescents (13-18 years) and young adults (19-25 years) between 1 January 2008 and 31 December 2019. Data were obtained from a United States commercial health insurance company.

RESULTS

There were 74,539 (1.8%) adolescents and 246,760 (4.0%) young adults with at least one benzodiazepine prescription dispensed. Benzodiazepine overdoses occurred among 1,569 (0.04%) and 3,202 (0.05%) adolescents and young adults, respectively. Implementation of a prescription drug monitoring program with mandated provider review was associated with a 6.8% (95% CI, 1.6-11.8) yearly reduction in benzodiazepine prescription dispensing among adolescents and a 12.5% (95% CI, 9.3-15.5) yearly reduction among young adults. There was no decrease in benzodiazepine overdoses in either age group (-15.4% [95% CI, -21.5 to 3.0] and -8.0% [95% CI, -18.0 to 3.2] yearly change in adolescents and young adults, respectively).

DISCUSSION

Consistent with prior work, our study did not find an association between prescription drug monitoring program implementation and reduction in benzodiazepine-related overdoses among adolescents and young adults. However, the substantial reduction in benzodiazepine prescription dispensing is encouraging.

CONCLUSION

Prescription drug monitoring programs were associated with decreases in benzodiazepine prescription dispensing, but not benzodiazepine-related overdoses in this cohort of adolescents and young adults. These findings serve to inform development of further policies to address rising rates of benzodiazepine misuse and overdose in this patient population.

Comparative Study of Opioid Initiation With Tramadol, Short-acting Hydrocodone, or Short-acting Oxycodone on Opioid-related Adverse Outcomes Among Chronic Noncancer Pain Patients

OBJECTIVE

To compare the safety profiles of low and high-dose tramadol, short-acting hydrocodone, and short-acting oxycodone therapies among chronic noncancer pain individuals.

MATERIALS AND METHODS

A retrospective cohort study of individuals with back/neck pain/osteoarthritis with an initial opioid prescription for tramadol, hydrocodone, or oxycodone was conducted using IQVIA PharMetrics Plus claims for Academics database (2006 to 2020). Two cohorts were created for separately studying opioid-related adverse events (overdoses, accidents, self-inflicted injuries, and violence-related injuries) and substance use disorders (opioid and nonopioid). Patients were followed from the index date until an outcome event, end of enrollment, or data end. Time-varying exposure groups were constructed and Cox regression models were estimated.

RESULTS

A total of 1,062,167 (tramadol [16.5%], hydrocodone [61.1%], and oxycodone [22.4%]) and 986,809 (tramadol [16.5%], hydrocodone [61.3%], and oxycodone [22.2%]) individuals were in the adverse event and substance use disorder cohorts. All high-dose groups had elevated risk of nearly all outcomes, compared with low-dose hydrocodone. Compared with low-dose hydrocodone, low-dose oxycodone was associated with a higher risk of opioid overdose (hazard ratio: 1.79 [1.37 to 2.33]). No difference in risk was observed between low-dose tramadol and low-dose hydrocodone (hazard ratio: 0.85 [0.64 to 1.13]). Low-dose oxycodone had higher risks of an opioid use disorder, and low-dose tramadol had a lower risk of accidents, self-inflicted injuries, and opioid use disorder compared with low-dose hydrocodone.

DISCUSSION

Low-dose oxycodone had a higher risk of opioid-related adverse outcomes compared with low-dose tramadol and hydrocodone. This should be interpreted in conjunction with the benefits of pain control and functioning associated with oxycodone use in future research.

A Personalized Opioid Prescription Model for Predicting Postoperative Discharge Opioid Needs

BACKGROUND

Opioid overprescribing after surgery is common. There is currently no universal predictive tool available to accurately anticipate postdischarge opioid need in a patient-specific manner. This study examined the efficacy of a patient-specific opioid prescribing framework for estimating postdischarge opioid consumption.

METHODS

A total of 149 patients were evaluated for a single-center retrospective cohort study of plastic and reconstructive surgery patients. Patients with length of stay of 2 to 8 days and quantifiable inpatient opioid consumption (n = 116) were included. Each patient's daily postoperative inpatient opioid consumption was used to generate a personalized logarithmic regression model to estimate postdischarge opioid need. The validity of the personalized opioid prescription (POP) model was tested through comparison with actual postdischarge opioid consumption reported by patients 4 weeks after surgery. The accuracy of the POP model was compared with two other opioid prescribing models.

RESULTS

The POP model had the strongest association (R2 = 0.899; P < 0.0001) between model output and postdischarge opioid consumption when compared to a procedure-based (R2 = 0.226; P = 0.025) or a 24-hour (R2 = 0.152; P = 0.007) model. Accuracy of the POP model was unaffected by age, gender identity, procedure type, or length of stay. Odds of persistent use at 4 weeks increased, with a postdischarge estimated opioid need at a rate of 1.16 per 37.5 oral morphine equivalents (P = 0.010; 95% CI, 1.04 to 1.30).

CONCLUSIONS

The POP model accurately estimates postdischarge opioid consumption and risk of developing persistent use in plastic surgery patients. Use of the POP model in clinical practice may lead to more appropriate and personalized opioid prescribing.

Incidence and patterns of persistent opioid use in children following appendectomy

BACKGROUND

The past 5 years have witnessed a concerted national effort to assuage the rising tide of the opioid misuse in our country. Surgical procedures often serve as the initial exposure of children to opioids, however the trajectory of use following these exposures remains unclear. We hypothesized that opioid exposure following appendectomy would increase the risk of persistent opioid use among publicly insured children.

STUDY DESIGN

A retrospective longitudinal cohort study was conducted on South Carolina Medicaid enrollees who underwent appendectomy between January 2014 and December 2017 using administrative claims data. The primary outcome was chronic opioid use. Generalized linear models and finite mixture models were employed in analysis.

RESULTS

1789 Medicaid pediatric patients underwent appendectomy and met inclusion criteria. The mean age was 11.1 years and 40.6% were female. Most patients (94.6%) did not receive opioids prior to surgery. Opioid prescribing ≥90 days after surgery (chronic opioid use) occurred in 127 (7.1%) patients, of which 102 (80.3%) had no opioid use in the preexposure period. Risk factors for chronic opioid use included non-naïve opioid status, re-hospitalization more than 30 days following surgery, multiple opioid prescribers, age, and multiple antidepressants/antipsychotic prescriptions. Group-based trajectory analysis demonstrated four distinct post-surgical opioid use patterns: no opioid use (91.3%), later use (6.7%), slow wean (1.9%), and higher use throughout (0.4%).

CONCLUSION

Opioid exposure after appendectomy may serve as a priming event for persistent opioid use in some children. Eighty percent of children who developed post-surgical persistent opioid use had not received opioids in the 90 days leading up to surgery. Several mutable and immutable factors were identified to target future efforts toward opioid minimization in this at-risk patient population.

LEVEL OF EVIDENCE

III.

Association of Benzodiazepine Treatment for Sleep Disorders With Drug Overdose Risk Among Young People

IMPORTANCE

Benzodiazepines are prescribed for the treatment of adolescent sleep disorders; however, benzodiazepine overdoses occur, often in combination with opioids.

OBJECTIVE

To evaluate whether benzodiazepine treatment for sleep disorders, compared with alternative pharmacologic treatments (trazodone, hydroxyzine, zolpidem, zaleplon, and eszopiclone), is associated with increased risk of drug overdose for young people.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study included privately insured people 10 to 29 years of age identified from a US commercial claims database (MarketScan), from January 1, 2009, to December 31, 2018. Young people with a sleep disorder diagnosis initiating benzodiazepine (n = 23 084) or comparator pharmacologic treatments (n = 66 706) were included in the study. Statistical analysis was performed from November 1, 2021, to May 16, 2022.

EXPOSURES

New use of benzodiazepine treatment or comparator pharmacologic treatments (defined as ≥1 year without a prescription for benzodiazepine or comparator medications).

MAIN OUTCOMES AND MEASURES

Incident diagnosed drug overdoses were identified from inpatient and emergency department records within 6 months of treatment initiation. The propensity score-adjusted cumulative incidence of overdose and hazard ratios (HRs) were estimated with intention-to-treat (analyzed based on initial treatment) and as-treated analyses (added censoring at treatment discontinuation). Results were stratified by prior prescription opioid fill.

RESULTS

The cohort included 23 084 young people initiating benzodiazepine treatment (14 444 female participants [62.6%]; mean [SD] age, 23 [4.1] years) and 66 706 initiating a comparator treatment (38 446 female participants [57.6%]; mean [SD] age, 22 [4.4] years). Six months after treatment initiation, 9.7% (95% CI, 9.3%-10.1%) of benzodiazepine users and 12.3% (95% CI, 12.1%-12.6%) of the comparator group were still receiving treatment. The crude incidence of drug overdose at 6 months was 0.9% for benzodiazepine initiators and 0.8% for comparator treatment initiators. In adjusted analyses, an increased risk of drug overdose was associated with benzodiazepines vs comparator treatments (intention-to-treat analysis: HR, 1.25 [95% CI, 1.03-1.51]; as-treated analysis: HR, 1.44 [95% CI, 1.14-1.80]). This association was stronger among young people with a recent prescription opioid fill vs those without a recent prescription opioid fill (as-treated analysis: adjusted HR, 2.01 [95% CI, 1.24-3.25] vs adjusted HR, 1.31 [95% CI, 1.00-1.70]).

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that benzodiazepines, compared with alternative pharmacologic treatments for common sleep disorders, were associated with an increased risk of drug overdose among young people during the following 6-month period, especially among those with a recent opioid prescription. Drug overdose is an important safety consideration when treating young people with benzodiazepines.

Spatial and temporal trends in the diagnosis of opioid-related problems in commercially-insured adolescents and young adults

Little is known about the extent to which the prevalence of opioid-related problems (ORPs) varies among U.S. adolescents and young adults across geographic regions and over time, information that can help to guide policies that aim to curb the opioid epidemic. A retrospective, cross-sectional design was used to analyze longitudinal claims data from privately insured individuals aged 12-64 years who had an outpatient or inpatient diagnosis of an ORP in the years 2005-2018. The prevalence of opioid-related problem diagnoses (per 10,000) varied considerably across census divisions, both over time and between age groups. Knowledge of the origin of and variation in diagnosed opioid-related problems in terms of age group and census division is important so that interventions and policies can be more targeted and effective.

Preoperative Patient Education and Smaller Prescription Quantity Reduce Opioid Use After Posterior Spinal Fusion for Adolescent Idiopathic Scoliosis: Results of a Prospective Study

BACKGROUND

Most opioids prescribed postoperatively are unused. Leftover opioids are a major source of nonmedical opioid use among adolescents. Postoperative opioid use has also been associated with prescription quantity. Our purpose was to evaluate the effect of preoperative patient education and implementation of evidence-based prescribing guidelines on opioid use and pain level after posterior spinal fusion (PSF) for adolescent idiopathic scoliosis (AIS).

METHODS

AIS patients aged 10 to 17 years undergoing PSF were prospectively enrolled [postintervention cohort (POST-INT)]. Previous data on 77 patients showed median consumption of 29 doses of oxycodone after PSF [preintervention cohort (PRE-INT)]. All eligible patients during the study period were discharged with 30 doses of oxycodone and standard nonopioid analgesics. Only study participants received education on postoperative pain control. Demographics, radiographic/surgical data, pain level, and patient-reported outcomes were collected. Requests for opioid refills were documented.

RESULTS

Forty-nine patients were enrolled. POST-INT was divided into low (L, ≤8 doses), average (AVE, 9-25), and high (H, >25) opioid use groups. Demographics, radiographic/surgical data, pain level, and patient-reported outcomes were similar between the groups. However, there was a difference in days of oxycodone use, doses consumed in the first week, and leftover doses ( P <0.001). Comparison to the PRE-INT L (≤16 doses), AVE (17 to 42), and high (H, >42) use groups showed that POST-INT L and AVE consumed less oxycodone (L: P =0.002; AVE: P <0.001). Also, the overall POST-INT cohort had fewer mean days of oxycodone use (5.6 vs. 8.9, P <0.001) and doses used in the first week (14 vs. 23, P <0.001) compared with the PRE-INT cohort. Subanalysis showed fewer study participants requested and received an opioid refill [3/49 patients (6%)] compared with eligible patients who declined to participate, withdrew, or missed enrollment [8/35 patients (23%)] ( P =0.045).

CONCLUSIONS

Preoperative patient education and smaller prescription quantity successfully reduced opioid use while maintaining excellent pain control after PSF for AIS. Setting expectations regarding postoperative pain management is critical, as nonstudy participants were significantly more likely to request an opioid refill.

LEVEL OF EVIDENCE

Level II-therapeutic.

Association Between Statewide Medicaid Opioid Policy and Postoperative Opioid Prescribing among Surgeons at a Large Safety-Net Hospital

BACKGROUND

Restrictive state and payer policies may be effective in reducing opioid prescribing by surgeons, but their impact has not been well studied. In 2017, Washington Medicaid implemented an opiod prescribing limit of 42 pills, prompting a large regional safety-net hospital to implement a decision support intervention in response. We aimed to evaluate the effects on surgeons' prescribing.

STUDY DESIGN

We retrospectively studied postoperative opioid prescribing (quantity of pills prescribed at discharge) to opioid-naïve surgical patients at a regional safety-net hospital from 2016 to 2020. We investigated associations between the policy and opioid prescribing by using interrupted time series analysis, adjusting for clinical and sociodemographic factors.

RESULTS

A total of 12,799 surgical encounters involving opioid-naïve patients (59% male, mean age 52) were analyzed. Opioids were prescribed for 75%. From 2016 to 2020, the mean prescribed opioid quantity decreased from 36 pills to 17 pills. In interrupted time series analysis, the Medicaid policy implementation was associated with an immediate change of -8.4 pills (95% CI -12 to -4.7; p < 0.001) per prescription and a subsequent rate of decrease similar to that prepolicy. In a comparison of changes between patients insured through Medicaid vs Medicare, Medicaid patients had an immediate change of -9.8 pills (95% CI -19 to -0.76; p = 0.03) after policy implementation and continued decreases similar to those prepolicy. No immediate or subsequent policy-related changes were observed among Medicare patients.

CONCLUSION

In a large regional safety-net institution, postoperative opioid prescriptions decreased in size over time, with immediate changes associated with a state Medicaid policy and corresponding decision support intervention. These findings pose implications for surgeons, hospital leaders, and payers seeking to address opioid use via judicious prescribing.

Association Between State Opioid Prescribing Cap Laws and Receipt of Opioid Prescriptions Among Children and Adolescents

Importance

High-dose and long-duration opioid prescriptions remain relatively common among children and adolescents, but there is insufficient research on the association of state laws limiting the dose and/or duration of opioid prescriptions (referred to as opioid prescribing cap laws) with opioid prescribing for this group.

Objective

To examine the association between state opioid prescribing cap laws and the receipt of opioid prescriptions among children and adolescents.

Design Setting and Participants

This repeated cross-sectional study used a difference-in-differences approach accounting for staggered policy adoption to assess the association of state opioid prescribing cap laws in the US from January 1, 2013, to December 31, 2019, with receipt of opioid prescriptions among children and adolescents. Analyses were conducted between March 22 and December 15, 2021. Data were obtained from the OptumLabs Data Warehouse, a national commercial insurance claims database. The analysis included 482 118 commercially insured children and adolescents aged 0 to 17 years with full calendar-year continuous insurance enrollment between 2013 and 2019. Individuals were included for every year in which they were continuously enrolled; they did not need to be enrolled for the entire 7-year study period. Those with any cancer diagnosis were excluded from analysis.

Exposure

Implementation of a state opioid prescribing cap law between January 1, 2017, and July 1, 2019. This date range allowed analysis of the same number years for both pre-cap and post-cap data.

Main Outcomes and Measures

Outcomes of interest included receipt of any opioid prescription and, among those with at least 1 opioid prescription, the mean number of opioid prescriptions, mean morphine milligram equivalents (MMEs) per day, and mean days' supply.

Results

Among 482 118 children and adolescents (754 368 person-years of data aggregated to the state-year level), 245 178 (50.9%) were male, with a mean (SD) age of 9.8 (4.8) years at the first year included in the sample (data on race and ethnicity were not collected as part of this data set, which was obtained from insurance billing claims). Overall, 10 659 children and adolescents (2.2%) received at least 1 opioid prescription during the study period. Among those with at least 1 prescription, the mean (SD) number of filled opioid prescriptions was 1.2 (0.8) per person per year. No statistically significant association was found between state opioid prescribing cap laws and any outcome. After opioid prescribing cap laws were implemented, a -0.001 (95% CI, -0.005 to 0.002) percentage point decrease in the proportion of youths receiving any opioid prescription was observed. In addition, percentage point decreases of -0.01 (95% CI, -0.10 to 0.09) in high-dose opioid prescriptions (>50 MMEs per day) and -0.02 (95% CI, -0.12 to 0.08) in long-duration opioid prescriptions (>7 days' supply) were found after cap laws were implemented.

Conclusions and Relevance

In this cross-sectional study, no association was observed between state opioid prescribing cap laws and the receipt of opioid prescriptions among children and adolescents. Alternative strategies, such as opioid prescribing guidelines tailored to youths, are needed.

New persistent opioid use among adolescents and young adults with sarcoma

BACKGROUND

Adolescents and young adults (AYA) with sarcoma experience both acute and chronic pain related to their disease and treatment. Studies in older adults have reported a high risk of persistent opioid use after cancer therapy among previously opioid-naive patients; however, few studies have evaluated posttreatment opioid use among AYAs. This article describes patterns of new persistent opioid use among AYAs in the year after treatment for sarcoma.

METHODS

Opioid-naive patients who were 10 to 26 years old and diagnosed with sarcoma (2008-2016) were identified with the IBM Marketscan Database. Included subjects had an International Classification of Diseases code for sarcoma (ninth or tenth revision), received anticancer therapy (chemotherapy, surgery, and/or radiation) within 30 days of the first diagnosis code, and had continuous insurance coverage (commercial or Medicaid) for more than 12 months both before the diagnosis and after the last therapy. The primary outcome was new persistent opioid use, which was defined as at least 2 opioid prescriptions in the 12 months following treatment completion. Covariates included age, sex, insurance, tumor type, surgical procedure, mental health (MH) or substance use diagnoses before or during therapy, and concomitant lorazepam use.

RESULTS

In total, 938 patients met the inclusion criteria; 521 (56%) were male, and 578 (62%) were younger than 18 years. In total, 727 (78%) had commercial insurance, and 273 (29%) had an MH diagnosis either before or during the treatment period. Of the total group, 464 (49%) used opioids during treatment only. Of those who used opioids during treatment, 135 (23%) received at least 2 prescriptions in the year after therapy. In a multivariable analysis, Medicaid versus commercial insurance (odds ratio [OR], 1.74; 95% confidence interval [CI], 1.15-2.64) and non-soft tissue sarcoma (OR for Ewing sarcoma, 3.23; 95% CI, 1.81-5.78; OR for osteosarcoma, 2.05; 95% CI, 1.36-3.09) conferred a higher likelihood of new persistent use.

CONCLUSIONS

In this cohort of AYAs treated for sarcoma, 64% of the patients received opioid prescriptions during treatment, and 23% of these patients became new persistent users. Because of the risks associated with persistent opioid use, studies of novel pain management strategies along with age-appropriate education and anticipatory guidance are urgently needed.

LAY SUMMARY

Using an insurance claims database, we conducted a study to determine the rate of new persistent opioid use among adolescents and young adults treated for sarcoma. We found that 64% of adolescents and young adults treated for sarcoma received opioid prescriptions during treatment, and 23% of these patients met the criteria for new persistent opioid use. These findings support the need for age-appropriate education and novel pain management strategies in this vulnerable population.

Use of Outpatient Opioids Prescribed From a Pediatric Acute Care Setting

OBJECTIVES

Deaths due to prescription opioid overdoses are at record high levels. Limiting the amount of opioid prescribed has been suggested as a prevention strategy, but little is known about how much is needed to adequately treat acutely painful conditions for outpatients. The purpose of this study was to quantify the usage of opioids prescribed from the pediatric emergency departments of a Midwestern tertiary care children's hospital system.

METHODS

This was a prospective descriptive study in which patients aged 0 to 17 years seen in 2 pediatric emergency departments who received a prescription for an outpatient opioid were enrolled. The main outcome was opioid doses used at home, which was obtained via phone follow-up. Additional information, including patient demographics, location, prescriber specialty, diagnosis, and opioid name and amount prescribed, was obtained via chart review.

RESULTS

A total of 295 patients were enrolled, with 281 completing the study (95%). The median numbers of opioid doses prescribed and used were 12 and 2 doses, respectively, with 9 doses in excess. Patients with lower extremity fractures used more opioids than other diagnoses, with a median of 8 doses. The majority of families reported keeping extra doses at home.

CONCLUSIONS

Prescribed opioid doses exceeded used doses by a factor of 6. Lower extremity fractures required more doses than other acutely painful conditions. We should consider limiting doses prescribed to decrease excess opioids available for misuse and abuse.

Evaluation of an Opioid Overdose Composite Risk Score Cutoff in Active Duty Military Service Members

OBJECTIVE

To evaluate the current cutoff score and a recalibrated adaptation of the Veterans Health Administration (VHA) Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose (RIOSORD) in active duty service members.

DESIGN

Retrospective case-control.

SETTING

Military Health System.

SUBJECTS

Active duty service members dispensed ≥ 1 opioid prescription between January 1, 2018 and December 31, 2019.

METHODS

Service members with a documented opioid overdose were matched 1:10 to controls. An active duty-specific (AD) RIOSORD was constructed using the VHA RIOSORD components. Analyses examined the risk stratification and predictive characteristics of two RIOSORD versions (VHA and AD).

RESULTS

Cases (n = 95) were matched with 950 controls. Only 6 of the original 17 elements were retained in the AD RIOSORD. Long-acting or extended-release opioid prescriptions, antidepressant prescriptions, hospitalization, and emergency department visits were associated with overdose events. The VHA RIOSORD had fair performance (C-statistic 0.77, 95% CI 0.75, 0.79), while the AD RIOSORD did not demonstrate statistically significant performance improvement (C-statistic 0.78, 95% CI, 0.77, 0.80). The DoD selected cut point (VHA RIOSORD > 32) only identified 22 of 95 ORD outcomes (Sensitivity 0.23) while an AD-specific cut point (AD RIOSORD > 16) correctly identified 53 of 95 adverse events (Sensitivity 0.56).

CONCLUSION

Results highlight the need to continually recalibrate predictive models and to consider multiple measures of performance. Although both models had similar overall performance with respect to the C-statistic, an AD-specific index threshold improves sensitivity. The calibrated AD RIOSORD does not represent an end-state, but a bridge to a future model developed on a wider range of patient variables, taking into consideration features that capture both care received, and care that was not received.

Intravenous ketorolac versus morphine in children presenting with suspected appendicitis: a pilot single-centre non-inferiority randomised controlled trial

OBJECTIVES

Despite a lack of evidence demonstrating superiority to non-steroidal anti-inflammatory drugs, like ketorolac, that are associated with lower risk of harms, opioids remain the most prescribed analgesic for acute abdominal pain. In this pilot trial, we will assess the feasibility of a definitive trial comparing ketorolac with morphine in children with suspected appendicitis. We hypothesise that our study will be feasible based on a 40% consent rate.

METHODS AND ANALYSIS

A single-centre, non-inferiority, blinded (participant, clinician, investigators and outcome assessors), double-dummy randomised controlled trial of children aged 6-17 years presenting to a paediatric emergency department with ≤5 days of moderate to severe abdominal pain (≥5 on a Verbal Numerical Rating Scale) and are investigated for appendicitis. We will use variable randomised blocks of 4-6 and allocate participants in 1:1 ratio to receive either intravenous (IV) ketorolac 0.5 mg/kg+IV morphine placebo or IV morphine 0.1 mg/kg+IV ketorolac placebo. Analgesic co-intervention will be limited to acetaminophen (commonly used as first-line therapy). Participants in both groups will be allowed rescue therapy (morphine 0.5 mg/kg) within 60 min of our intervention. Our primary feasibility outcome is the proportion of eligible patients approached who provide informed consent and are enrolled in our trial. Our threshold for feasibility will be to achieve a ≥40% consent rate, and we will enrol 100 participants into our pilot trial.

ETHICS AND DISSEMINATION

Our study has received full approval by the Hamilton integrated Research Ethics Board. We will disseminate our study findings at national and international paediatric research conferences to garner interest and engage sites for a future multicentre definitive trial.

TRIAL REGISTRATION

NCT04528563, Pre-results.

Associations of opioid prescription dose and discontinuation with risk of substance-related morbidity in long-term opioid therapy

ABSTRACT

Efforts to reduce opioid-related harms have decreased opioid prescription but have provoked concerns about unintended consequences, particularly for long-term opioid therapy (LtOT) recipients. Research is needed to address the knowledge gap regarding how risk of substance-related morbidity changes across LtOT and its discontinuation. This study used nationwide commercial insurance claims data and a within-individual design to examine associations of LtOT dose and discontinuation with substance-related morbidity. We identified 194,839 adolescents and adults who initiated opioid prescription in 2010 to 2018 and subsequently received LtOT. The cohort was followed for a median of 965 days (interquartile range, 525-1550), of which a median of 176 days (119-332) were covered by opioid prescription. During follow-up, there were 17,582 acute substance-related morbidity events, defined as claims for emergency visits, inpatient hospitalizations, and ambulance transportation with substance use disorder or overdose diagnoses. Relative to initial treatment, risk was greater within individual during subsequent periods of >60 to 120 (adjusted odds ratio [OR], 1.29; 95% CI, 1.12 to 1.49) and >120 (OR, 1.48; 95% CI, 1.24-1.76) daily morphine milligram equivalents. Risk was also greater during days 1 to 30 after discontinuations than during initial treatment (OR, 1.19; 95% CI, 1.05-1.35). However, it was no greater than during the 30 days before discontinuations, indicating that the risk may not be wholly attributable to discontinuation itself. Results were supported by a negative control pharmacotherapy analysis and additional sensitivity analyses. They suggest that LtOT recipients may experience increased substance-related morbidity risk during treatment subsequent to initial opioid prescription, particularly in periods involving higher doses.

Mental disorder and opioid overdose: a systematic review

PURPOSE

This systematic review summarizes and presents the current state of research quantifying the relationship between mental disorder and overdose for people who use opioids.

METHODS

The protocol was published in Open Science Framework. We used the PECOS framework to frame the review question. Studies published between January 1, 2000, and January 4, 2021, from North America, Europe, the United Kingdom, Australia, and New Zealand were systematically identified and screened through searching electronic databases, citations, and by contacting experts. Risk of bias assessments were performed. Data were synthesized using the lumping technique.

RESULTS

Overall, 6512 records were screened and 38 were selected for inclusion. 37 of the 38 studies included in this review show a connection between at least one aspect of mental disorder and opioid overdose. The largest body of evidence exists for internalizing disorders generally and mood disorders specifically, followed by anxiety disorders, although there is also moderate evidence to support the relationship between thought disorders (e.g., schizophrenia, bipolar disorder) and opioid overdose. Moderate evidence also was found for the association between any disorder and overdose.

CONCLUSION

Nearly all reviewed studies found a connection between mental disorder and overdose, and the evidence suggests that having mental disorder is associated with experiencing fatal and non-fatal opioid overdose, but causal direction remains unclear.

Distribution of Opioid Prescribing and High-Risk Prescribing Among U.S. Dentists in 2019

INTRODUCTION

It is unknown whether certain dentists account for disproportionate shares of dental opioid prescriptions and high-risk prescriptions. Identifying and characterizing such dentists could inform the targeting of initiatives to improve the appropriateness and safety of dental opioid prescribing.

METHODS

In May 2021, the authors conducted a cross-sectional analysis using the IQVIA Longitudinal Prescription Database, which reports dispensing from 92% of U.S. pharmacies, and 2 provider databases (IQVIA OneKey, National Plan and Provider Enumeration System). Analyses included opioid prescriptions from dentists dispensed in 2019 to patients aged >12 years. High-risk prescriptions were those considered high risk by any of 3 metrics (prescriptions to opioid-naïve patients exceeding a 3-day supply, prescriptions with daily opioid dosage ≥50 morphine milligram equivalents, opioid prescriptions with benzodiazepine overlap). Among all prescriptions and high-risk prescriptions, the authors calculated the proportion accounted for by high-volume dentists -- those with prescription counts in the 95th percentile or higher. Using logistic regression, the characteristics associated with being a high-volume dentist were identified.

RESULTS

In 2019, a total of 141,345 dentists accounted for 10,736,743 opioid prescriptions dispensed to patients aged >12 years; 4,242,634 (39.5%) were high-risk prescriptions. The 7,079 high-volume dentists, a group representing 5.0% of the 141,345 dentists, accounted for 46.9% of all prescriptions and 47.5% of high-risk prescriptions. Male sex, younger age, non‒Northeast location, and specialization in oral and maxillofacial surgery were associated with a higher risk of being a high-volume dentist.

CONCLUSIONS

In 2019, high-volume dentists accounted for almost half of dental opioid prescriptions and high-risk prescriptions. Quality improvement initiatives targeting these dentists may be warranted.

Trends in Benzodiazepine Prescribing for US Adolescents and Young Adults From 2008 to 2019

This cohort study examines whether trends exist in the number of benzodiazepines and opioids prescribed to adolescents and young adults between 2008 and 2019.

Initiation of Opioid Prescription and Risk of Suicidal Behavior Among Youth and Young Adults

BACKGROUND AND OBJECTIVES

Opioids are involved in an increasing proportion of suicide deaths. This study examined the association between opioid analgesic prescription initiation and suicidal behavior among young people.

METHODS

We analyzed Swedish population-register data on 1 895 984 individuals ages 9 to 29 years without prior recorded opioid prescriptions. We identified prescriptions dispensed from January 2007 onward and diagnosed self-injurious behavior and death by suicide through December 2013. We first compared initiators with demographically matched noninitiators. To account for confounding, we applied an active comparator design, which examined suicidal behavior among opioid initiators relative to prescription nonsteroidal antiinflammatory drug (NSAID) initiators while inverse-probability-of-treatment weighting with individual and familial covariates.

RESULTS

Among the cohort, 201 433 individuals initiated opioid prescription. Relative to demographically matched noninitiators, initiators (N = 180 808) had more than doubled risk of incident suicidal behavior (hazard ratio = 2.64; 95% confidence interval [CI], 2.47-2.81). However, in the active comparator design, opioid initiators (N = 86 635) had only 19% relatively greater risk of suicidal behavior compared with NSAID initiators (N = 255 096; hazard ratio = 1.19; 95% CI,: 1.11-1.28), corresponding to a weighted 5-year cumulative incidence of 2.2% (95% CI, 2.1-2.4) for opioid and 1.9% (95% CI, 1.9-2.0) for NSAID initiators. Most sensitivity analyses produced comparable results.

CONCLUSIONS

Opioid initiation may make only a small contribution to the elevated risk of suicidal behavior among young people receiving pharmacologic pain management. In weighing benefits and harms of opioid initiation, our results suggest that increased risk of suicidal behavior may not be a major concern.

New persistent opioid use after surgery in patients with a history of remote opioid use

BACKGROUND

Postoperative pain management is particularly challenging in patients using opioids preoperatively, but previous studies have not stratified patients not using opioids at the time of surgery according to history of opioid use. This study was designed to test the hypothesis that history of opioid use among patients not reporting opioid use at the time of surgery was independently associated with new persistent opioid use after surgery.

METHODS

Using prospective perioperative data from the Analgesic Outcomes Study, we assessed outcomes of patients 18 years of age or older who underwent elective surgery between December 2015 and January 2019 and were not using opioids at the time of surgery. Patient self-reported outcome measures were collected on the day of surgery and at 2 weeks, 1 month, and 3 months postoperatively. The primary outcome was new persistent opioid use, defined as continued opioid use 3 months after surgery. The primary explanatory variable was history of opioid use, which was categorized as no history of opioid use, history of non-continuous opioid use, or history of continuous opioid use (defined as daily or almost every day for 3 months or longer). Other covariates included demographics, validated measures (pain, mood), surgery type and approach, comorbidities, and use of tobacco, alcohol, cannabis, and benzodiazepines. Backward stepwise logistic regression models were used to determine patient factors associated with new persistent opioid use and refill after surgery.

RESULTS

A total of 1,249 patients not taking opioids preoperatively were included in the study cohort for new persistent opioid use. A total of 54 (4.3%) patients had continued use 3 months after surgery. New persistent opioid use after surgery was independently associated with non-continuous opioid use history (adjusted odds ratio 2.9, [95% confidence interval, 1.21 to 6.94]), continuous opioid use history (adjusted odds ratio 5.0, [95% confidence interval, 1.48 to 16.76]), and moderate to high alcohol use (adjusted odds ratio 2.5, [95% confidence interval, 1.24 to 4.93]). Similarly, opioid prescription refill at 1 month after surgery was independently associated with history of non-continuous opioid use (adjusted odds ratio 1.6, [95% confidence interval, 1.12 to 2.24]), history of continuous opioid use (adjusted odds ratio 2.2, [95% confidence interval, 1.15 to 4.06]), and moderate to high alcohol use (adjusted odds ratio 1.7, [95% confidence interval, 1.18 to 2.48]).

CONCLUSION

Among patients not using opioids preoperatively, a history of opioid use was independently associated with new persistent opioid use after surgery, especially those with a history of continuous opioid use.

High-risk opioid analgesic dispensing to adolescents 12-18 years old in South Carolina: 2010-2017

PURPOSE

To evaluate "high-risk" opioid dispensing to adolescents, including daily morphine milligram equivalents (MME) above recommended amounts, the percentage of extended-release opioid prescriptions dispensed to opioid-naïve adolescents, and concurrent use of opioids and benzodiazepines, and to evaluate changes in those rates over time.

METHODS

Retrospective cohort study of one state's prescription drug monitoring program data (2010-2017), evaluating adolescents 12-18 years old dispensed opioid analgesic prescriptions. Outcomes of interest were the quarterly frequencies of the high-risk measures. We utilized generalized linear regression to determine whether the rate of the outcomes changed over time.

RESULTS

The quarterly percentage of adolescents ages 12-18 years old dispensed an opioid who received ≥90 daily MME declined from 4.1% in the first quarter (Q1) of 2010 to 3.4% in the final quarter (Q4) of 2017 (p < 0.0001). The frequency of adolescents dispensed ≥50 daily MME changed little over time. In 2010, the percentage of adolescents receiving an extended-release opioid who were opioid naïve was 60.7%, declining to 50.6% by Q4 of 2017 (p > 0.10 overall change 2010-2017). The percentage of adolescent opioid days overlapping with benzodiazepine days was 1.6% in Q1 of 2010, declining to 1.1% by Q4 of 2017 (p < 0.001).

CONCLUSIONS

Among persons 12-18 years old dispensed an opioid analgesic, receipt of ≥90 daily MME declined during the years 2010-2017, as did the percentage of adolescent opioid days that overlapped with benzodiazepines. More than half of the individuals who received extended-release opioid analgesics were identified as opioid naïve and, counter to guidelines, received products intended for opioid-tolerant individuals.

Nonmedical Opioid Use After Short-term Therapeutic Exposure in Children: A Systematic Review

CONTEXT

Opioid-related harms continue to rise for children and youth. Analgesic prescribing decisions are challenging because the risk for future nonmedical opioid use or disorder is unclear.

OBJECTIVE

To synthesize research examining the association between short-term therapeutic opioid exposure and future nonmedical opioid use or opioid use disorder and associated risk factors.

DATA SOURCES

We searched 11 electronic databases.

STUDY SELECTION

Two reviewers screened studies. Studies were included if: they were published in English or French, participants had short-term (≤14 days) or an unknown duration of therapeutic exposure to opioids before 18 years, and reported opioid use disorder or misuse.

DATA EXTRACTION

Data were extracted, and methodologic quality was assessed by 2 reviewers. Data were summarized narratively.

RESULTS

We included 21 observational studies (49 944 602 participants). One study demonstrated that short-term therapeutic exposure may be associated with opioid abuse; 4 showed an association between medical and nonmedical opioid use without specifying duration of exposure. Other studies reported on prevalence or incidence of nonmedical use after medical exposure to opioids. Risk factors were contradictory and remain unclear.

LIMITATIONS

Most studies did not specify duration of exposure and were of low methodologic quality, and participants might not have been opioid naïve.

CONCLUSIONS

Some studies suggest an association between lifetime therapeutic opioid use and nonmedical opioid use. Given the lack of clear evidence regarding short-term therapeutic exposure, health care providers should carefully evaluate pain management options and educate patients and caregivers about safe, judicious, and appropriate use of opioids and potential signs of misuse.

Claims-based measures of prescription opioid utilization: A practical guide for researchers

BACKGROUND

Given the increased attention to the opioid epidemic and the role of inappropriate prescribing, there has been a marked increase in the number of studies using claims data to study opioid use and policies designed to curb misuse. Our objective is to review the medical literature for recent studies that use claims data to construct opioid use measures and to develop a guide for researchers using these measures.

METHODS

We searched for articles relating to opioid use measured in health insurance claims data using a defined set of search terms for the years 2014-2020. Original research articles based in the United States that used claims-based measures of opioid utilization were included and information on the study population and measures of any opioid use, quantity of opioid use, new opioid use, chronic opioid use, multiple providers, and overlapping prescriptions was abstracted.

RESULTS

A total of 164 articles met inclusion criteria. Any opioid use was the most commonly included measure, defined by 85 studies. This was followed by quantity of opioids (68 studies), chronic opioid use (53 studies), overlapping prescriptions (28 studies), and multiple providers (8 studies). Each measure contained multiple, distinct definitions with considerable variation in how each was operationalized.

CONCLUSIONS

Claims-based opioid utilization measures are commonly used in research, but definitions vary significantly from study to study. Researchers should carefully consider which opioid utilization measures and definitions are most appropriate for their study and recognize how different definitions may influence study results.

Genetics and prescription opioid use (GaPO): study design for consenting a cohort from an existing biobank to identify clinical and genetic factors influencing prescription opioid use and abuse

BACKGROUND

Prescription opioids (POs) are commonly used to treat moderate to severe chronic pain in the health system setting. Although they improve quality of life for many patients, more work is needed to identify both the clinical and genetic factors that put certain individuals at high risk for developing opioid use disorder (OUD) following use of POs for pain relief. With a greater understanding of important risk factors, physicians will be better able to identify patients at highest risk for developing OUD for whom non-opioid alternative therapies and treatments should be considered.

METHODS

We are conducting a prospective observational study that aims to identify the clinical and genetic factors most stongly associated with OUD. The study design leverages an existing biobank that includes whole exome sequencing and array genotyping. The biobank is maintained within an integrated health system, allowing for the large-scale capture and integration of genetic and non-genetic data. Participants are enrolled into the health system biobank via informed consent and then into a second study that focuses on opioid medication use. Data capture includes validated self-report surveys measuring addiction severity, depression, anxiety, and nicotine use, as well as additional clinical, prescription, and brain imaging data extracted from electronic health records.

DISCUSSION

We will harness this multimodal data capture to establish meaningful patient phenotypes in order to understand the genetic and non-genetic contributions to OUD.

Temporal Trends in Opioid Prescribing Practices in Children, Adolescents, and Younger Adults in the US From 2006 to 2018

IMPORTANCE

Prescription opioids are involved in more than half of opioid overdoses among younger persons. Understanding opioid prescribing practices is essential for developing appropriate interventions for this population.

OBJECTIVE

To examine temporal trends in opioid prescribing practices in children, adolescents, and younger adults in the US from 2006 to 2018.

DESIGN, SETTING, AND PARTICIPANTS

A population-based, cross-sectional analysis of opioid prescription data was conducted from January 1, 2006, to December 31, 2018. Longitudinal data on retail pharmacy-dispensed opioids for patients younger than 25 years were used in the analysis. Data analysis was performed from December 26, 2019, to July 8, 2020.

MAIN OUTCOMES AND MEASURES

Opioid dispensing rate, mean amount of opioid dispensed in morphine milligram equivalents (MME) per day (individuals aged 15-24 years) or MME per kilogram per day (age <15 years), duration of prescription (mean, short [≤3 days], and long [≥30 days] duration), high-dosage prescriptions, and extended-release or long-acting (ER/LA) formulation prescriptions. Outcomes were calculated for age groups: 0 to 5, 6 to 9, 10 to 14, 15 to 19, and 20 to 24 years. Joinpoint regression was used to examine opioid prescribing trends.

RESULTS

From 2006 to 2018, the opioid dispensing rate for patients younger than 25 years decreased from 14.28 to 6.45, with an annual decrease of 15.15% (95% CI, -17.26% to -12.99%) from 2013 to 2018. The mean amount of opioids dispensed and rates of short-duration and high-dosage prescriptions decreased for all age groups older than 5 years, with the largest decreases in individuals aged 15 to 24 years. Mean duration per prescription increased initially for all ages, but then decreased for individuals aged 10 years or older. The duration remained longer than 5 days across all ages. The rate of long-duration prescriptions increased for all age groups younger than 15 years and initially increased, but then decreased after 2014 for individuals aged 15 to 24 years. For children aged 0 to 5 years dispensed an opioid, annual increases from 2011 to 2014 were noted for the mean amount of opioids dispensed (annual percent change [APC], 10.58%; 95% CI, 1.77% to 20.16%) and rates of long-duration (APC, 30.42%; 95% CI, 14.13% to 49.03%), high-dosage (APC, 31.27%; 95% CI, 16.81% to 47.53%), and ER/LA formulation (APC, 27.86%; 95% CI, 12.04% to 45.91%) prescriptions, although the mean amount dispensed and rate of high-dosage prescriptions decreased from 2014 to 2018.

CONCLUSIONS AND RELEVANCE

These findings suggest that opioid dispensing rates decreased for patients younger than 25 years, with decreasing rates of high-dosage and long-duration prescriptions for adolescents and younger adults. However, opioids remain readily dispensed, and possible high-risk prescribing practices appear to be common, especially in younger children.

Opioid Prescribing to US Children and Young Adults in 2019

BACKGROUND

Recent national data are lacking on the prevalence, safety, and prescribers of opioid prescriptions dispensed to children and young adults aged 0 to 21 years.

METHODS

We identified opioid prescriptions dispensed to children and young adults in 2019 in the IQVIA Longitudinal Prescription Database, which captures 92% of US pharmacies. We calculated the proportion of all US children and young adults with ≥1 dispensed opioid prescription in 2019. We calculated performance on 6 metrics of high-risk prescribing and the proportion of prescriptions written by each specialty. Of all prescriptions and those classified as high risk by ≥1 metric, we calculated the proportion written by high-volume prescribers with prescription counts at the ≥95th percentile.

RESULTS

Analyses included 4 027 701 prescriptions. In 2019, 3.5% of US children and young adults had ≥1 dispensed opioid prescription. Of prescriptions for opioid-naive patients, 41.8% and 3.8% exceeded a 3-day and 7-day supply, respectively. Of prescriptions for young children, 8.4% and 7.7% were for codeine and tramadol. Of prescriptions for adolescents and young adults, 11.5% had daily dosages of ≥50 morphine milligram equivalents; 4.6% had benzodiazepine overlap. Overall, 45.6% of prescriptions were high risk by ≥1 metric. Dentists and surgeons wrote 61.4% of prescriptions. High-volume prescribers wrote 53.3% of prescriptions and 53.1% of high-risk prescriptions.

CONCLUSIONS

Almost half of pediatric opioid prescriptions are high risk. To reduce high-risk prescribing, initiatives targeting high-volume prescribers may be warranted. However, broad-based initiatives are also needed to address the large share of high-risk prescribing attributable to other prescribers.

Association Between Receipt of Overlapping Opioid and Benzodiazepine Prescriptions From Multiple Prescribers and Overdose Risk

IMPORTANCE

The receipt of overlapping opioid and benzodiazepine prescriptions is associated with increased overdose risk. It is unknown whether this increase in risk varies when overlapping prescriptions are written by multiple prescribers vs 1 prescriber.

OBJECTIVE

To evaluate the association between receipt of overlapping opioid and benzodiazepine prescriptions from multiple prescribers and overdose risk.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study was conducted using 2017 to 2018 claims from the Optum deidentified Clinformatics Data Mart. Participants were patients with private insurance or Medicare Advantage aged 12 years or older with overlapping opioid and benzodiazepine prescriptions. Data were analyzed from March through November 2020.

EXPOSURES

For each patient, person-days on which opioid and benzodiazepine prescriptions overlapped were identified. The exposure was whether these prescriptions were written by multiple prescribers vs 1 prescriber.

MAIN OUTCOMES AND MEASURES

The outcome was a treated overdose, defined as the occurrence of 1 or more claims containing a diagnosis code for opioid or benzodiazepine poisoning on a person-day of opioid-benzodiazepine overlap. The association between exposure and outcome at the person-day level was estimated using logistic regression, controlling for opioid and benzodiazepine prescribing patterns, demographics, and comorbidities. The average marginal effect (AME) of the exposure, defined as the absolute difference in the probability of a treated overdose if all person-days of overlap involved prescriptions from multiple prescribers vs 1 prescriber, was calculated.

RESULTS

Among 529 053 patients, the mean (SD) age was 61.2 (15.6) years and 350 857 (66.3%) were female patients. Mean (SD) follow-up was 198.7 (249.8) days. During follow-up, overdose occurred on 1 or more person-days of opioid-benzodiazepine overlap for 2288 patients (0.4%, or 1 in 231 patients). There were 52 989 316 person-days of opioid-benzodiazepine overlap. Among 19 895 457 person-days (37.5%) involving prescriptions from multiple prescribers, there were 1390 overdoses (7.0 per 100 000 person-days), and among 33 093 859 person-days (62.5%) involving prescriptions from 1 prescriber, there were 1302 overdoses (3.9 per 100 000 person-days). Overdose risk was increased 1.8-fold (95% CI, 1.6-1.9) on person-days of overlap involving prescriptions from multiple prescribers vs 1 prescriber. The association between multiple prescribers and increased risk of overdose persisted in adjusted analyses (adjusted odds ratio, 1.20; 95% CI, 1.10-1.31; AME, 0.91 per 100 000 person-days of overlap; 95% CI, 0.46-1.37).

CONCLUSIONS AND RELEVANCE

This study found that among patients already at increased risk of overdose owing to concurrent treatment with opioids and benzodiazepines, overdose risk was increased further when multiple prescribers were responsible for this treatment regimen compared with 1 prescriber. This increased risk was not fully accounted for by differences in prescribing patterns, demographics, or comorbidities. This finding suggests that other factors, such as poor care coordination, may be associated with the increase in risk.

Assessing opioid overdose risk: a review of clinical prediction models utilizing patient-level data

Drug, and specifically opioid-related, overdoses remain a major public health problem in the United States. Multiple studies have examined individual risk factors associated with overdose risk, but research developing clinical risk prediction tools for overdose has only emerged in the last few years. We conducted a comprehensive review of the literature on patient-level factors associated with opioid-related overdose risk, with an emphasis on clinical risk prediction models for opioid-related overdose in the United States. Studies that developed and/or validated clinical prediction models were closely reviewed and evaluated to determine the state of the field. We identified 12 studies that reported risk prediction models for opioid-related overdose risk. Published models were developed from a variety of data sources, including Veterans Health Administration data, Medicare data, commercial insurance data, and statewide linked datasets. Studies reported model performance using measures of discrimination, usually at good-to-excellent levels, though they did not always assess calibration. C-statistics were better for models that included clinical predictors (c-statistics: 0.75-0.95) compared to models without them (c-statistics: 0.69-0.82). External validation of models was rare, and we found no studies evaluating implementation of models or risk prediction tools into clinical practice. A common feature of these models was a high rate of false positives, largely because opioid-related overdose is rare in the general population. Thus, efforts to implement prediction models into practice should take into account that published models overestimate overdose risk for many low-risk patients. Future prediction models assessing overdose risk should employ external validation and address model calibration. In order to translate findings from prediction models into clinical public health benefit, future studies should focus on developing clinical prediction tools based on prediction models, implementing these tools into clinical practice, and evaluating the impact of these models on treatment decisions, patient outcomes, and, ultimately, opioid overdose rates.

Opioid use and misuse in children, adolescents, and young adults with cancer: a systematic review of the literature

Adolescents and young adults (AYAs) are at increased risk for negative opioid-related outcomes, including misuse and overdose. High-quality cancer care requires adequate pain management and often includes opioids for tumor- and/or treatment-related pain. Little is known about opioid use and misuse in children and AYAs with cancer, and we therefore conducted a systematic review of the literature using PRISMA guidelines to identify all relevant studies that evaluated opioid use and/or misuse among this population. Eleven studies were identified that met our inclusion criteria. The range of opioid use among the studies was 12-97%, and among the five studies that reported opioid misuse or aberrant behaviors, 7-90% of patients met criteria. Few studies reported factors associated with opioid misuse but included prior mental health and/or substance use disorders, and prior opioid use. In summary, opioid use is highly variable among children and AYAs with cancer; however, the range of use varies widely depending on the study population, such as survivors or end-of-life cancer patients. Few studies have examined opioid misuse and/or aberrant behaviors, and future research is needed to better understand opioid use and misuse among children and AYAs with cancer, specifically those who will be cured of their cancer and may subsequently experience adverse opioid-related outcomes.

Adverse Events And Emergency Department Opioid Prescriptions In Adolescents

Understanding the risks associated with opioid prescription in adolescents is critical for informing opioid policy, but the risks are challenging to quantify given the lack of randomized trial data. Using a regression discontinuity design, we exploited a discontinuous increase in opioid prescribing in the emergency department (ED) when adolescents transition from "child" to "adult" at age eighteen to estimate the effect of an ED opioid prescription on subsequent opioid-related adverse events. We found that adolescent patients just over age eighteen were similar to those just under age eighteen, but they were 9.7 percent more likely to be prescribed an opioid and 12.6 percent more likely to have an adverse opioid-related event, defined as overdose, diagnosis of opioid use disorder, or long-term opioid use, within one year. We estimated a 14.1 percent increased risk for an adverse outcome when "adults" just over age eighteen were prescribed opioids that would not have been prescribed if they were just under age eighteen and considered "children." Our results suggest that differences in care provided in pediatric versus adult care settings may be important to understanding prescribers' roles in the opioid epidemic.