Dataset Information

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

ABSTRACT:

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.

SUBMITTER: O'Hara NN

PROVIDER: S-EPMC6324441 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

O'Hara Nathan N NN Pollak Andrew N AN Welsh Christopher J CJ O'Hara Lyndsay M LM Kwok Alyson K AK Herman Alexandra A Slobogean Gerard P GP

JAMA network open 20181005 6

<h4>Importance</h4>There is a paucity of data on persistent opioid use and factors associated with persistent opioid use among workers' compensation claimants.<h4>Objective</h4>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.<h4>Design, setting, participants</h4>This retrospective cohort study collected workers' compensation claims data from Janu ...[more]

PMID: 30646268

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Project description:ImportanceUsing 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.ObjectiveTo 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 participantsThis 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 measuresThe primary outcome was long-term opioid use, defined as having an opioid supplied for 45 or more days in the 90 days after injury.ResultsAmong 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 relevanceIn 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.

Project description:BACKGROUND:Opioid dependence, misuse, and abuse in the United States continue to rise. Prior studies indicate an important risk factor for persistent opioid use includes elective surgical procedures, though the probability following thoracic procedures remains unknown. We analyzed the incidence and factors associated with new persistent opioid use after lung resection. METHODS:We evaluated data from opioid-naïve cancer patients undergoing lung resection between 2010 and 2014 using insurance claims from the Truven Health MarketScan Databases. New persistent opioid usage was defined as continued opioid prescription fills between 90 and 180 days following surgery. Variables with a p value less than 0.10 by univariate analysis were included in a multivariable logistic regression performed for risk adjustment. Multivariable results were each reported with odds ratio (OR) and confidence interval (CI). RESULTS:A total of 3,026 patients (44.8% men, 55.2% women) were identified as opioid-naïve undergoing lung resection. Mean age was 64 ± 11 years and mean postoperative length of stay was 5.2 ± 3.3 days. A total of 6.5% underwent neoadjuvant therapy, while 21.7% underwent adjuvant therapy. Among opioid-naïve patients, 14% continued to fill opioid prescriptions following lung resection. Multivariable analysis showed that age less than or equal to 64 years (OR, 1.28; 95% CI, 1.03 to 1.59; p = 0.028), male sex (OR, 1.40; 95% CI, 1.13 to 1.73; p = 0.002), postoperative length of stay (OR, 1.32; 95% CI, 1.05 to 1.65; p = 0.016), thoracotomy (OR, 1.58; 95% CI, 1.24 to 2.02; p < 0.001), and adjuvant therapy (OR, 2.19; 95% CI, 1.75 to 2.75; p < 0.001) were independent risk factors for persistent opioid usage. CONCLUSIONS:The greatest risk factors for persistent opioid use (14%) following lung resection were adjuvant therapy and thoracotomy. Future studies should focus on reducing excess prescribing, perioperative patient education, and safe opioid disposal.

Project description:BackgroundLong-term opioid use has negative health care consequences. Opioid-naïve adults are at risk for prolonged and persistent opioid use after surgery. While these outcomes have been examined in some adolescent and teenage populations, little is known about the risk of prolonged and persistent postoperative opioid use after common surgeries compared to children who do not undergo surgery and factors associated with these issues among pediatric surgical patients of all ages.MethodsUsing a national administrative claims database, we identified 175,878 surgical visits by opioid-naïve children aged ≤18 years who underwent ≥1 of the 20 most common surgeries from each of 4 age groups between December 31, 2002, and December 30, 2017, and who filled a perioperative opioid prescription 30 days before to 14 days after surgery. Prolonged opioid use after surgery (filling ≥1 opioid prescription 90-180 days after surgery) was compared to a reference sample of 1,354,909 nonsurgical patients randomly assigned a false "surgery" date. Multivariable logistic regression models were used to estimate the association of surgical procedures and 22 other variables of interest with prolonged opioid use and persistent postoperative opioid use (filling ≥60 days' supply of opioids 90-365 days after surgery) for each age group.ResultsProlonged opioid use after surgery occurred in 0.77%, 0.76%, 1.00%, and 3.80% of surgical patients ages 0-<2, 2-<6, 6-<12, and 12-18, respectively. It was significantly more common in surgical patients than in nonsurgical patients (ages 0-<2: odds ratio [OR] = 4.6 [95% confidence interval (CI), 3.7-5.6]; ages 2-<6: OR = 2.5 [95% CI, 2.1-2.8]; ages 6-<12: OR = 2.1 [95% CI, 1.9-2.4]; and ages 12-18: OR = 1.8 [95% CI, 1.7-1.9]). In the multivariable models for ages 0-<12 years, few surgical procedures and none of the other variables of interest were associated with prolonged opioid use. In the models for ages 12-18 years, 10 surgical procedures and 5 other variables of interest were associated with prolonged opioid use. Persistent postoperative opioid use occurred in <0.1% of patients in all age groups.ConclusionsSome patient characteristics and surgeries are positively and negatively associated with prolonged opioid use in opioid-naïve children of all ages, but persistent opioid use is rare. Specific pediatric subpopulations (eg, older patients with a history of mood/personality disorder or chronic pain) may be at markedly higher risk.

Project description:ImportanceAn increase in opioid prescription has been observed in the Netherlands. It is vital to understand this increase and to identify risk factors for opioid prescription to ensure that health interventions remain appropriately targeted.ObjectivesTo determine the prevalence of opioid prescriptions and adverse events associated with opioids, and to identify risk factors associated with opioid prescription in the Dutch population.Design, setting, and participantsThis cohort study used national statistics from the Netherlands from January 1, 2013, to December 31, 2017, including the full Dutch population of 16?779?575 people in 2013 and 17?081?507 people in 2017. Data from the Dutch Health Monitor surveys of 2012 and 2016 were also included. Databases were anonymized prior to analysis. All analyses were performed between December 2018 and February 2019.ExposureOpioid prescription.Main outcomes and measuresThe main outcomes were the dynamics of opioid prescriptions, hospital admissions for opioid overdose, and opioid overdose mortalities. The secondary outcome was risk factors associated with opioid prescription.ResultsIn 2013, 814?211 individuals (4.9% of the total population) received an opioid prescription. In 2017, 1?027?019 individuals (6.0% of the total population) received at least 1 opioid prescription (mean [SD] age, 59.3 [18.5] years; 613?203 [59.7%] women). The rate of hospital admissions for opioid overdose was 9.2 per 100?000 inhabitants in 2013 and 13.1 per 100?000 inhabitants in 2017 (relative risk, 1.43 [95% CI, 1.34-1.52]). Similarly, an increased risk of opioid overdose death was observed, from 0.83 per 100?000 inhabitants in 2013 to 1.2 per 100?000 inhabitants in 2017 (relative risk, 1.49 [95% CI, 1.20-1.85]). Based on data from the 2012 Dutch Health Monitor survey, risk factors associated with opioid prescription included being older than 65 years (odds ratio [OR], 4.20 [95% CI, 3.98-4.43]), having only a primary school education (OR, 3.62 [95% CI, 3.46-3.77]), being widowed (OR, 3.30 [95% CI, 3.13-3.49]), reporting always feeling symptoms of depression (OR, 3.77 [95% CI, 3.41-4.18]), and reporting poor or very poor physical health (OR, 10.40 [95% CI, 10.01-10.81]). Self-reported back pain (OR, 4.34 [95% CI, 4.23-4.46]) and rheumatoid arthritis or fibromyalgia (OR, 3.77 [95% CI, 3.65-3.90]) were also associated with opioid prescription. However, unemployment (OR, 1.05 [95% CI, 0.96-1.13]) was not associated with opioid prescription, and alcohol use disorder (OR, 0.76 [95% CI, 0.73-0.80]) was negatively associated with opioid prescription.Conclusions and relevanceThis study found that opioid prescriptions have increased in the Netherlands. Although the risk of adverse events is still relatively low, there is an urgent need to review pain management to prevent a further increase in opioid prescription.

Project description:ImportanceThe overuse of opioids for acute pain management has led to an epidemic of persistent opioid use.ObjectiveTo determine the proportion of opioid-naive patients who develop persistent opioid use after cardiac surgery and investigate the association between the initial amount of opioids prescribed at discharge and the likelihood of developing new persistent opioid use.Design, setting, and participantsThis retrospective cohort study used data from a national administrative claims database from January 1, 2004, to December 31, 2016 and included 35 817 patients who underwent coronary artery bypass grafting (CABG) (25 673 [71.7%]) and heart valve (10 144 [28.3%]) procedures. All patients were opioid-naive within 180 days before the index procedure and filled an opioid prescription within 14 days after surgery.ExposuresOpioid medications after cardiac surgery.Main outcomes and measuresThe proportion of opioid-naive patients who developed new persistent opioid use within 90 to 180 days after surgery was determined. Oral morphine equivalents (OMEs) were calculated for the first opioid prescription filled after discharge. A multivariable logistic regression with cubic splines was used to analyze the association among the OMEs at discharge and likelihood of developing persistent opioid use.ResultsOf the 25 673 patients who underwent CABG, the mean (SD) age for those without (n = 23 064) vs with (n = 2609) persistent opioid use was 62.9 (9.8) years vs 61.6 (9.7) years, respectively, and the number who were men were 18 758 (81.3%) vs 1998 (76.6%). Of the 10 144 patients who underwent heart valve surgery, the mean (SD) age for those without (n = 9343) vs with (n = 821) persistent opioid use was 63.2 (12.4) years vs 61.2 (12.5) years, respectively, and the number who were men were 6378 (68.3%) vs 511 (62.2%). Persistent opioid use is a substantial concern after cardiac surgery and occurred in 2609 patients undergoing CABG (10.2%) and 821 valve surgery patients (8.1%; P = .001). The likelihood for developing persistent opioid use was decreased among heart valve surgery recipients (odds ratio [OR], 0.78; P < .001) and increased for patients who were women; younger; with preoperative congestive heart failure, chronic lung disease, diabetes, kidney failure, chronic pain, and alcoholism; and those taking preoperative benzodiazepines and muscle relaxants (women: OR, 1.15 [95% CI, 1.03-1.26]; younger age: OR, 1.02 [95% CI, 1.01-1.02]; congestive heart failure: OR, 1.17 [95% CI, 1.06-1.30]; chronic lung disease: OR, 1.32 [95% CI, 1.19-1.45]; diabetes: OR, 1.27 [95% CI, 1.15-1.40]; kidney failure: OR, 1.17 [95% CI, 1.00-1.37]; chronic pain: OR, 2.71 [95% CI, 2.10-3.56]; alcoholism: OR, 1.56 [95% CI, 1.23-2.00]; benzodiazepines: OR, 1.71 [95% CI, 1.52-1.91]; muscle relaxants: OR, 1.74 [95% CI, 1.51-2.02]; all P < .001). Furthermore, we found that when patients were prescribed more than approximately 300 mg of OMEs at discharge, they had a significantly increased risk of new persistent opioid use than with lower opioid prescriptions.Conclusions and relevanceOpioids are used extensively after cardiothoracic surgery and nearly 1 of 10 patients will continue to use opioids over 90 days after surgery. Furthermore, higher OMEs prescribed at discharge were significantly associated with developing persistent use. Centers must adopt protocols to increase patient education and limit opioid prescriptions after discharge.

Dataset Information

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

Importance

Objective

Design, setting, participants

Main outcomes and measures

Results

Conclusions and relevance

Publications

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

Similar Datasets

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