Risk of non-medical drug overdose following prescription of opioids post-injury: A retrospective cohort study.

Background: There has been increasing scrutiny of opioid prescribing following injury because of concerns that prescribed opioids may contribute to addiction and overdose. This study aimed to better understand the relationship between injury, opioids prescribed before and after injury, and non-medical drug poisoning. Data and methods: Working age (15 to 65 years old) residents of British Columbia's Fraser Health region with an injury that involved an emergency department visit were included. Factors examined included the prescription of opioid and opioid agonist therapy (OAT) medications before and after injury, age, sex, work-related injuries, and socioeconomic status, as well as how they were associated with non-medical drug poisoning risk and post-injury prescriptions. Results: Opioid-naive individuals (those without an opioid prescription captured before their injury) who were prescribed OAT medication-a marker of opioid use disorder-following their injury had a higher risk of subsequent non-medical drug poisoning (Hazard ratio (HR): 21.4 to 22.4 compared with opioid-naive individuals without an opioid or OAT prescription). Post-injury opioid prescription in these individuals increased poisoning risk (HR: 1.27 compared with those without a prescription). Being of male sex (HR: 1.80), being younger (HR: 0.76 for every 10-year increase in age) and living in the lowest-income neighbourhoods (HR: 1.44 compared with the middle quintile) increased poisoning risk. Compared with injuries sustained outside of work, work-related injuries reduced risk (HR: 0.62). Interpretation: Among a cohort of British Columbians visiting emergency departments following an injury, opioid prescribing in patients who were opioid-naive appears to be a minor contributor to non-medical drug poisoning, particularly when compared with other patient factors, such as being male, being younger and having a low socioeconomic status.

Pain and Prescription Opioid Use Among US Construction Workers: Findings From the 2011‒2018 Medical Expenditure Panel Survey.

Objectives. To examine prescription opioid and nonopioid analgesic use among US construction workers and their associations with pain conditions and sociodemographic factors. Methods. We analyzed data for about 9000 (weighted 11.5 million per year) construction workers who responded to the Medical Expenditure Panel Survey from 2011 to 2018. We applied both descriptive statistics and multiple logistic regression procedures in the analyses. Results. An estimated 1.2 million (10.0%) of construction workers used prescription opioid analgesics annually. The adjusted odds of prescription opioid use were significantly higher for workers suffering from work-related injuries (adjusted odds ratio [AOR] = 3.82; 95% confidence interval [CI] = 2.72, 5.37), non‒work-related injuries (AOR = 3.37; 95% CI = 2.54, 4.46), and musculoskeletal disorders (AOR = 2.31; 95% CI = 1.80, 2.95) after we controlled for potential confounders. Adjusted odds of prescription opioid use were also higher among workers with poorer physical health (AOR = 1.95; 95% CI = 1.42, 2.69) or mental health disorders (AOR = 1.95; 95% CI = 1.41, 2.68). Conclusions. Work- and non‒work-related injuries and musculoskeletal disorders significantly increased prescription opioid use among construction workers. To prevent opioid use disorders, multipronged strategies should be approached. (Am J Public Health. 2022;112(S1):S77-S87. https://doi.org/10.2105/AJPH.2021.306510).

Determining the influence of the Workers Compensation Board of Manitoba's opioid policy on prescription opioid use amongst WCB recipients.

BACKGROUND: Opioid medications are commonly used by Workers Compensation Board (WCB) claimants following workplace injuries. The purpose of this study is to describe the impact of an opioid management policy on opioid prescriptions amongst a WCB-covered population compared to changes in the use of these medications in the general population of a Canadian province. METHODS: We linked WCB claims data from 2006 to 2016 (13,155 claims, 11,905 individuals) to Manitoba provincial health records and compared opioid use amongst this group to 478,606 individuals aged 18-65. Linear regression was performed to examine the change over time in number of individuals being prescribed opioids for various durations and dosages of 50 or more, and 120 or more morphine equivalents (ME)/day for both the WCB and Manitoba population. RESULTS: WCB claimants totaled 2.5% of Manitoba residents aged 18-65 who were prescribed opioids for non-cancer pain. After the introduction of the opioid use policy for the WCB population in November 2011, the number of people prescribed opioids declined 49.4% in the WCB group, while increasing 10.8% in the province as a whole. The number of individuals using 50 ME/day or more declined 43.1% in the WCB group and increased 5.8% in the province. CONCLUSIONS: Opioid management programs organized by a compensation board can lead to a substantial reduction in the prescription of opioid medications to a WCB client population, including individuals who were prescribed higher doses of these medications when compared with general trends in the community.

Do Injured Workers Receive Opioid Prescriptions Outside the Workers' Compensation System?: The Case of Private Group Health Insurances.

OBJECTIVES: We explored the impact of workplace injury on receiving opioid prescriptions from employer-sponsored private group health insurances (GHI) and how long injured workers receive opioid prescriptions after injury. METHODS: We used a difference-in-differences method and MarketScan databases for the years 2013 to 2015. RESULTS: Estimated odds for injured workers relative to noninjured workers to receive opioid prescriptions from the GHI within 60 and 180 days from the index date of injury were 4.9 and 1.5, respectively. In addition, the number of opioid prescriptions received within 60 days of injury was 2.5 times higher. CONCLUSION: Workplace injury could be a risk factor for both short and long-term prescription opioid use. Studies that use only workers' compensation medical claim data likely underestimate the magnitude of the impact of workplace injuries on opioid prescriptions.

Early High-Risk Opioid Prescribing Practices and Long-Term Disability Among Injured Workers in Washington State, 2002 to 2013.

OBJECTIVE: To estimate associations between early high-risk opioid prescribing practices and long-term work-related disability. METHODS: Washington State Fund injured workers with at least one opioid prescription filled within 6 weeks after injury (2002 to 2013) were included (N = 83,150). Associations between early high-risk opioid prescribing (longer duration, higher dosage, concurrent sedatives), and time lost from work, total permanent disability, and a surrogate measure for Social Security disability benefits were tested. Measures of early hospitalization, body part, and nature of injury were included to address confounding by indication concerns, along with sensitivity analyses controlling for injury severity. RESULTS: In adjusted logistic models, early high-risk opioid prescribing was associated with roughly three times the odds of each outcome. CONCLUSION: Exposure to high-risk opioid prescribing within 90 days of injury was significantly and substantially associated with long-term temporary and permanent disability.

Factors associated with early opioid dispensing compared with NSAID and muscle relaxant dispensing after a work-related low back injury.

OBJECTIVES: The objective of this historical cohort study was to determine the claimant and prescriber factors associated with receiving opioids at first postinjury dispense compared with non-steroidal anti-inflammatory drugs (NSAIDs) and skeletal muscle relaxants (SMRs) in a sample of workers' compensation claimants with low back pain (LBP) claims between 1998 and 2009 in British Columbia, Canada. METHODS: Administrative workers' compensation, prescription and healthcare data were linked. The association between claimant factors (sociodemographics, occupation, diagnosis, comorbidities, pre-injury prescriptions and healthcare) and prescriber factors (sex, birth year, specialty) with drug class(es) at first dispense (opioids vs NSAIDs/SMRs) was examined with multilevel multinomial logistic regression. RESULTS: Increasing days supplied with opioids in the previous year was associated with increased odds of receiving opioids only (1-14 days OR 1.62, 95% CI 1.51 to 1.75; ≥15 days OR 5.12, 95% CI 4.65 to 5.64) and opioids with NSAIDs/SMRs (1-14 days OR 1.49, 95% CI 1.39 to 1.60; ≥15 days OR 2.82, 95% CI 2.56 to 3.12). Other significant claimant factors included: pre-injury dispenses for NSAIDs, SMRs, antidepressants, anticonvulsants and sedative-hypnotics/anxiolytics; International Statistical Classification of Diseases and Related Health Problems, 9th Revision diagnosis; various pre-existing comorbidities; prior physician visits and hospitalisations; and year of injury, age, sex, health authority and occupation. Prescribers accounted for 25%-36% of the variability in the drug class(es) received, but prescriber sex, specialty and birth year did not explain observed between-prescriber variation. CONCLUSIONS: During this period in the opioid crisis, early postinjury dispensing was multifactorial, with several claimant factors associated with receiving opioids at first prescription. Prescriber variation in drug class choice appears particularly important, but was not explained by basic prescriber characteristics.

Prescription opioid use and associated factors among US construction workers.

BACKGROUND: Construction workers are among the segments of the US population that were hit hardest by the opioid prescription and overdose deaths in the past decades. Factors that underlie opioid use in construction workers have been compartmentalized and isolated in existing studies of opioid use and opioid overdose, but they ignore the overall context of their use. This study examines prescription opioid use and its association with a variety of occupational and nonoccupational factors in construction workers in the United States. METHODS: Data from the 2011-2017 Medical Expenditure Panel Survey (n = 7994) were analyzed. The prevalence of prescribed opioid use and the association with occupational and nonoccupational characteristics among construction workers were examined in four multiple logistic regression models. RESULTS: The odds of prescription opioid use for workers with occupational injuries was more than triple that of their noninjured counterparts when demographics and occupational factors were controlled (odds ratio = 3.38, 95% confidence interval: 2.38-4.81). Odds of prescription opioid use were higher in older construction workers, workers who were white, non-Hispanic, working part-time, and in poorer health, while Hispanic workers and those without health insurance were much less likely to report prescription opioid use. CONCLUSIONS: Prescription opioid use among construction workers encompasses both occupational and nonoccupational factors. As an insight into opioid use among construction workers becomes clearer, effectively responding to the opioid crisis remains a challenge.

Prescription opioid overdose and adverse effect hospitalisations among injured workers in eight states (2010-2014).

OBJECTIVE: High-risk opioid prescribing practices in workers' compensation (WC) settings are associated with excess opioid-related morbidity, longer work disability and higher costs. This study characterises the burden of prescription opioid-related hospitalisations among injured workers. METHODS: Hospital discharge data for eight states (Arizona, Colorado, Michigan, New Jersey, New York, South Carolina, Utah and Washington) were obtained from the State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality. We calculated 5-year (2010-2014) average annual rates of prescription opioid overdose/adverse effect (AE) hospitalisations. Injured workers were identified using payer (WC) and external cause codes. RESULTS: State-level average annual prescription opioid overdose/AE hospitalisation rates ranged from 0.3 to 1.2 per 100 000 employed workers. Rates for workers aged ≥65 years old were two to six times the overall rates. Among those hospitalised with prescription opioid overdose/AEs, injured workers were more likely than other inpatients to have a low back disorder diagnosis, and less likely to have an opioid dependence/abuse or cancer diagnosis, or a fatal outcome. Averaged across states, WC was the primary expected payer for <1% of prescription opioid overdose/AE hospitalisations vs 6% of injury hospitalisations. CONCLUSIONS: Population-based estimates of prescription opioid morbidity are almost nonexistent for injured workers; this study begins to fill that gap. Rates for injured workers increased markedly with age but were low relative to inpatients overall. Research is needed to assess whether WC as payer adequately identifies work-related opioid morbidity for surveillance purposes, and to further quantify the burden of prescription opioid-related morbidity.

Influence of work organization and work environment on missed work, productivity, and use of pain medications among construction apprentices.

BACKGROUND: Construction is among the most dangerous industries. In addition to traditional hazards for workplace injury and illness, other threats to health and well-being may occur from work organization and work environment factors, including irregular employment, long commutes, long work hours, and employer policies regarding health and safety. These nontraditional hazards may affect work and health outcomes directly, or through effects on health behaviors. The cumulative impacts of both traditional and nontraditional hazards on health-related outcomes among construction workers are largely unknown. METHODS: We conducted a survey among apprentice construction workers to identify relationships between work organization and environmental factors with five outcomes of economic relevance to employers: missed work due to work-related injury, missed work due to any pain or injury, self-reported workability, health-related productivity, and use of prescription medications for pain. RESULTS: A total of 963 surveys were completed (response rate 90%) in this young (mean age 28) working cohort. Multivariate Poisson regression models found associations between the outcomes of interest and multiple work factors, including job strain, safety behaviors of coworkers, and mandatory overtime. Univariate analysis showed additional associations, including precarious work, and supervisor support for safety. CONCLUSIONS: Findings from this cross-sectional study suggest that work organization and environment factors influence health and work outcomes among young construction trade workers. Future work with longitudinal data will examine the hypothesized paths between work factors, health behaviors, health outcomes, and work outcomes.

Suicide and drug-related mortality following occupational injury.

BACKGROUND: Drug overdoses and suicides have been rising since 2000 and are major contributors to a 3-year decline in US life expectancy. Studies suggest that injured workers have elevated rates of depression and opioid use, but no studies have measured excess mortality related to these risks. MATERIALS AND METHODS: We linked New Mexico workers' compensation data for 100 806 workers injured in 1994 through 2000 with Social Security Administration earnings and mortality data through 2013 and National Death Index cause of death data. We then estimated the association between receiving lost-time workers' compensation benefits and mortality hazard ratios (HRs) and 95% confidence intervals (CIs) based on Fine and Gray cause-specific subdistribution hazards for common causes of death and for drug-related, suicide, and alcohol-related mortality. RESULTS: There was almost a 3-fold increase in combined drug-related and suicide mortality hazard among women (HR = 2.63, 95% CI = 1.91-3.64) and a substantial increase among men (HR = 1.42, 95% CI = 1.13-1.79). Circulatory disease mortality hazard was elevated for men (HR = 1.25, 95% CI = 1.05-1.50). CONCLUSION: Workplace injuries severe enough to require more than a week off work may impair workers' long-term health and well-being. Drug-related deaths and suicides may be important contributors to the long-term excess mortality of injured workers. Improved workplace conditions, improved pain treatment, better treatment of substance use disorders, and treatment of postinjury depression may substantially reduce mortality consequent to workplace injuries.

Implementation of an Opioid Guideline Impacts on Opioid Prescriptions, Adverse Outcomes, and an Association with a State Opioid-Related Fatalities.

OBJECTIVE: The aim of this study was to determine the efficacy of an evidence-based opioid guidelines-based program implemented at the largest worker's compensation insurer in Utah. METHODS: All new claims, including surgeries, were included. Pre- and post-intervention comparisons included percentage of claims treated with an opioid, provision of a second opioid prescription, opioid use above 50 mg morphine equivalent dose (MED), opioid use more than 90 mg MED, and opioid use over 90 days. RESULTS: There were significant (P < 0.001) reductions in all primary outcomes, with a reduction in MEDs in the 18 months after implementation totaling 65,502 mg. CONCLUSION: This program significantly reduced the usage of opioids among acute claims. The year of program implementation, Utah experienced a 19.8% reduction in opioid-related fatalities, which may be partly related to the reduction in MEDs. Regardless, this study suggests that the implementation of an evidence-based guideline is impactful and feasible.

Opioid-related overdose deaths by industry and occupation-Massachusetts, 2011-2015.

BACKGROUND: Thousands of people in the United States continue to die from opioid overdoses every year. Work-related injuries and other factors associated with work may increase exposure to opioids and, subsequently, opioid-related overdose deaths (OROD). This study sought to determine whether OROD rates differed by industry and occupation and explored work-related factors that might contribute to these differences. METHODS: We coded industry and occupation information on death certificates for all OROD among Massachusetts residents from 2011 to 2015. We estimated rates of OROD by industry and occupation using Massachusetts employment data. National survey data were used to explore whether work-related factors known to vary by occupation (occupational injury and illness, job insecurity, and paid sick leave) correlate to observed differences in OROD. RESULTS: Several industries and occupation groups had rates of OROD that were significantly higher than the rates for other workers. Construction workers and fishing workers stood out for having OROD rates many times higher than the average for all workers. Occupation groups with high rates of occupational injuries and illnesses, high job insecurity, and low availability of paid sick leave had higher rates of OROD. CONCLUSIONS: These findings underscore the need for policy and educational interventions to reduce OROD tailored to the needs of high rate worker populations. Interventions should address workplace hazards that cause injuries for which opioids are prescribed, as well as best practices in medical management and return to work following injury, safer prescribing, enhanced access to treatment for opioid use disorders, and overdose prevention education.

Prevalence and Risk Factors Associated With Long-term Opioid Use After Injury Among Previously Opioid-Free Workers.

Importance: Using opioids for acute pain can lead to long-term use and associated morbidity and mortality. Injury has been documented as a gateway to long-term opioid use in some populations, but data are limited for injured workers. Objective: To evaluate the prevalence and risk factors of long-term opioid use after injury among workers in Tennessee who were opioid free at the time of injury. Design, Setting, and Participants: This cohort study identified injured workers aged 15 to 99 years who reported only 1 injury to the Tennessee Bureau of Workers' Compensation from March 2013 to December 2015 and had no opioid prescription in the 60 days before injury. Participants were matched to their prescription history in Tennessee's prescription drug monitoring program. Analysis was conducted from November 2017 to March 2018. Logistic regression models were used to calculate adjusted odds ratios (ORs) and 95% CIs for associations of demographic, injury, and opioid use variables with long-term use. Main Outcomes and Measures: The primary outcome was long-term opioid use, defined as having an opioid supplied for 45 or more days in the 90 days after injury. Results: Among 58 278 injured workers who received opioids after injury (18 977 [32.5%] aged 15-34 years, 27 514 [47.2%] aged 35-54 years, and 11 787 [20.2%] aged 55-99 years; 32 607 [56.0%] men), 46 399 (79.6%) were opioid free at the time of injury. Among opioid-free injured workers, 1843 (4.0%) began long-term opioid use. After controlling for covariates, long-term use was associated with receiving 20 or more days' supply in the initial opioid prescription compared with receiving less than 5 days' supply (OR, 28.94; 95% CI, 23.44-35.72) and visiting 3 or more prescribers in the 90 days after injury compared with visiting 1 prescriber (OR, 14.91; 95% CI, 12.15-18.29). However, even just 5 days' to 9 days' supply was associated with an increase in the odds of long-term use compared with less than 5 days' supply (OR, 1.83; 95% CI, 1.56-2.14). Conclusions and Relevance: In this study of injured workers, injury was associated with long-term opioid use. The number of days' supply of the initial opioid prescription was the strongest risk factor of developing long-term use, highlighting the importance of careful prescribing for initial opioid prescriptions.

Relationship between early prescription dispensing patterns and work disability in a cohort of low back pain workers' compensation claimants: a historical cohort study.

OBJECTIVES: To examine and compare whether dispensing of prescription opioids, non-steroidal anti-inflammatory drugs (NSAIDs) and skeletal muscle relaxants (SMRs) within 8 weeks after a work-related low back pain (LBP) injury is associated with work disability. METHODS: A historical cohort study of 55 571 workers' compensation claimants with LBP claims in British Columbia from 1998 to 2009 was conducted using linked compensation, dispensing and healthcare data. Four exposures were constructed to estimate the effect on receipt of benefits and days on benefits 1 year after injury: drug class(es) dispensed, days' supply, strength of opioids dispensed and average daily morphine-equivalent dose. RESULTS: Compared with claimants receiving NSAIDs and/or SMRs, the incidence rate ratio (IRR) of days on benefits was 1.09 (95% CI 1.04 to 1.14) for claimants dispensed opioids only and 1.26 (95% CI 1.22 to 1.30) for claimants dispensed opioids with NSAIDs and/or SMRs. Compared with weak opioids only, the IRR for claimants dispensed strong opioids only or strong and weak opioids combined was 1.21 (95% CI 1.12 to 1.30) and 1.29 (95% CI 1.20 to 1.39), respectively. The incident rate of days on benefits associated with each 7-day increase in days supplied of opioids, NSAIDs and SMRs was 10%, 4% and 3%, respectively. Similar results were seen for receipt of benefits, though effect sizes were larger. CONCLUSIONS: Findings suggest provision of early opioids leads to prolonged work disability compared with NSAIDs and SMRs, though longer supplies of all drug classes are also associated with work disability. Residual confounding likely partially explains the findings. Research is needed that accounts for prescriber, system and workplace factors.

Prescription opioid use by injured workers in Tennessee: a descriptive study using linked statewide databases.

PURPOSE: This is the first study in Tennessee to measure opioid use in injured workers and among the first nationally to use a prescription drug monitoring program to do so. We conducted a retrospective cohort study to evaluate the prevalence of opioid use after injury and associated characteristics among workers reporting one injury to Tennessee Workers' Compensation. METHODS: Injured workers identified in Workers' Compensation records 2013-2015 were linked to their prescription history in Tennessee's prescription drug monitoring database. RESULTS: Among 172,256 injured workers, the prevalence of receiving an opioid after injury was 22.8% in 1 week, 29.7% in 1 month, and 33.3% in 6 months. Receiving an opioid was associated with having a fracture (odds ratio, 4.9; 95% confidence interval, 4.64-5.11 vs. other injuries). Hydrocodone short-acting was the most commonly received opioid (69.5% of injured workers), and the mean of each worker's maximum dose was 42.8 morphine milligram equivalents (SD 39.26). Ten percent of injured workers who received opioids also received a benzodiazepine. CONCLUSIONS: Injured workers have a high prevalence of opioid use after injury, but prescribing patterns generally tend to follow Tennessee prescribing guidelines.

Effect of an opioid management program for Colorado workers' compensation providers on adherence to treatment guidelines for chronic pain.

OBJECTIVE: The aim of this study was to examine adherence of state guidelines for Colorado workers' compensation physicians/providers treating individuals as injured workers with chronic pain after initiation of an opioid management program and provider incentives. METHODS: A retrospective cohort of chronic, non-cancer pain claims was constructed from the Colorado's workers' compensation database. Adherence to treatment guidelines and opioid prescribing practices were evaluated during implementation of a new billing code to incentivize adherence. RESULTS: Overall, less than 33% of claims showed evidence of opioid management. Comprehensive opioid management was observed in only 4.4% of claims. In 2010, after implementing the new billing code, the ratio of long acting opioids to short acting opioids decreased from 0.2 to 0.13; returning to 0.2 in one year. Similarly, morphine equivalent doses declined for a short period. CONCLUSIONS: Incentivizing physicians to adhere to chronic pain management guidelines only temporarily improves prescribing practices.

[Cold and White - Hypothenar Hammer Syndrome]. / Kalt und weiss ­ Hypothenar-Hammer-Syndrom.

Cold and White - Hypothenar Hammer Syndrome Abstract. Hypothenar hammer syndrome (HHS) is a condition caused by digital ischemia as a result of repeated trauma to the little finger. Routine diagnosis should include a detailed medical history and a physical examination including Allen's test. Imaging of vascular lesions can be done initially by acral plethysmography and duplex sonography, or directly in the context of angiography (gold standard). Early diagnosis enables effective therapeutic strategies and preventing permanent sequelae. The optimal treatment options are selected depending on the intensity of symptoms, ranging from conservative methods, secondary prevention, through a local thrombolysis up to operational measures.

Opioid and Benzodiazepine Use Before Injury Among Workers in Washington State, 2012 to 2015.

OBJECTIVE: To characterize pre-injury prescription opioid and benzodiazepine use and its relationship with post-injury use and missed work among workers. METHODS: Three hundred thirteen thousand five hundred forty three Washington State Department of Labor and Industries workers' compensation injury claims from 2012 to 2015 were linked with State Prescription Monitoring Program data. Pre-injury prevalence of opioid and benzodiazepine use were compared between compensable and non-compensable claims, and between workers with and without post-injury prescriptions, using the Pearson's chi-squared test. RESULTS: The prevalence of opioid or benzodiazepine use in the 90 days before injury was 8.6% and 2.9%, respectively. Workers with pre-injury opioid or benzodiazepine use were more likely to have compensable claims and be on opioids or benzodiazepines, respectively, after injury. Cases with chronic opioid use pre-injury nearly universally receive opioids post-injury. CONCLUSIONS: Pre-injury opioid and benzodiazepine use may increase the risk of disability after work-related injury.

Prescription Dispensing Patterns Before and After a Workers' Compensation Claim: An Historical Cohort Study of Workers With Low Back Pain Injuries in British Columbia.

OBJECTIVE: Compare prescription dispensing before and after a work-related low back injury. METHODS: Descriptive analyses were used to describe opioid, nonsteroidal anti-inflammatory drug (NSAID), and skeletal muscle relaxant (SMR) dispensing 1 year pre- and post-injury among 97,124 workers in British Columbia with new workers' compensation low back claims from 1998 to 2009. RESULTS: Before injury, 19.7%, 21.2%, and 6.3% were dispensed opioids, NSAIDs, and SMRs, respectively, increasing to 39.0%, 50.2%, and 28.4% after. Median time to first post-injury prescription was less than a week. Dispensing was stable pre-injury, followed by a sharp increase within 8 weeks post-injury. Dispensing dropped thereafter, but remained elevated nearly a year post-injury, an increase attributable to less than 2% of claimants. CONCLUSION: These drug classes are commonly dispensed, particularly shortly after injury and dispensing is of short duration for most, though a small subgroup receives prolonged courses.

Factors Associated With Persistent Opioid Use Among Injured Workers' Compensation Claimants.

Importance: There is a paucity of data on persistent opioid use and factors associated with persistent opioid use among workers' compensation claimants. Objective: To determine the proportion of injured workers who filled an opioid prescription beyond 90 days from injury and the factors associated with persistent opioid use among workers' compensation claimants. Design, Setting, Participants: This retrospective cohort study collected workers' compensation claims data from January 1, 2008, to December 31, 2016, from the Chesapeake Employers' Insurance Company in Maryland. All workers' compensation claimants injured during the study years and with at least 1 filled opioid prescription were eligible for inclusion. For patients who had unique injury claims in multiple years of the study, only the first claimed injury was included in our analysis. Patients who died as a result of the claimed injury were excluded. The analysis was performed between October 2017 and August 2018. Main Outcomes and Measures: The primary outcome was persistent opioid use, defined as an opioid prescription fulfillment beyond 90 days from the date of injury. Multivariable regression was used to determine prognostic factors of persistent opioid use. Results: Of the 9596 study participants (mean [SD] age, 43 [12.3] years; 6218 [65.1%] male), 2741 (28.6%) filled an opioid prescription more than 90 days from their date of injury. Participants aged 60 years or older (odds ratio [OR], 1.92; 95% CI, 1.56-2.36), crush injuries (OR, 1.55; 95% CI, 1.28-1.89), strain and sprain injuries (OR, 1.54; 95% CI, 1.36-1.75), annual income more than $60 000 (OR, 1.31; 95% CI, 1.07-1.61), and concomitant diagnoses for chronic joint pain (OR, 1.98; 95% CI, 1.79-2.20) were significantly associated with persistent opioid use. Compared with workers with claims designated as permanent partial disability, workers with medical-only claims were significantly less likely to have persistent opioid use at 90 days postinjury (OR, 0.17; 95% CI, 0.15-0.20). Conclusions and Relevance: A high proportion of persistent opioid use was observed in this workers' compensation cohort. Interventions to lower persistent opioid use in this population should target patients with the characteristics identified in this study.