Prevalence and Expenses of Outpatient Opioid Prescriptions, With Associated Sociodemographic, Economic, and Work Characteristics

Risk of opioid-related harms by occupation within a large cohort of formerly injured workers in Ontario, Canada: findings from the Occupational Disease Surveillance System

OBJECTIVE

Working-age individuals have been disproportionately affected by the opioid crisis, prompting interest in the potential role of occupation as a contributor. This study aimed to estimate the risk of opioid-related poisonings and mental and behavioural disorders by occupation and industry within a cohort of 1.7 million formerly injured workers.

METHODS

Workers were identified in the Occupational Disease Surveillance System, a system linking workers' compensation data (1983-2019) to emergency department and hospitalisation records (2006-2020) in Ontario, Canada. Cox proportional hazards models were used to estimate HRs and 95% CIs for hospital encounters for opioid-related poisonings and mental and behavioural disorders by occupation and industry compared with all other workers, adjusted for age, sex and birth year.

RESULTS

In total, 13 702 opioid-related poisoning (p) events (n=10 064 workers) and 19 629 opioid-related mental and behavioural (mb) disorder events (n=11 755 workers) were observed. Elevated risks were identified among workers in forestry and logging (HRp=1.45, 95% CI 1.09 to 1.94; HRmb=1.70, 95% CI 1.34 to 2.16); processing (minerals, metals, clay, chemical) (HRp=1.27, 95% CI 1.14 to 1.42; HRmb=1.26, 95% CI 1.14 to 1.39); processing (food, wood, textile) (HRp=1.12, 95% CI 1.01 to 1.24; HRmb=1.19, 95% CI 1.09 to 1.31); machining (HRp=1.13, 95% CI 1.04 to 1.21; HRmb=1.17, 95% CI 1.09 to 1.25); construction trades (HRp=1.57, 95% CI 1.48 to 1.67; HRmb=1.59, 95% CI 1.51 to 1.68); materials handling (HRp=1.32, 95% CI 1.22 to 1.43; HRmb=1.22, 95% CI 1.13 to 1.31); mining and quarrying (HRmb=1.68, 95% CI 1.34 to 2.11); and transport equipment operating occupations (HRp=1.18, 95% CI 1.09 to 1.27). Elevated risks were observed among select workers in service, sales, clerical and health. Findings by industry were similar.

CONCLUSIONS

Results provide additional evidence that opioid-related harms cluster among certain occupational groups. Findings can be used to strategically target prevention and harm reduction activities in the workplace.

Short-acting opioid prescriptions and Workers' Compensation using the National Ambulatory Medical Care Survey

BACKGROUND

Short-acting opioids have been utilized for pain management with little known about their use in patients on Workers' Compensation (WC) insurance. Our goal was to investigate this association in the ambulatory care setting.

METHODS

Using the National Ambulatory Medical Care Survey, visits from patients aged 18-64 during the years 2010 until 2018 were evaluated (excluding 2017 due to data availability). Demographic and co-morbidity data from each visit was obtained along with the visit year. The first short-acting opioid medication prescribed in the database was considered. Survey-weighted frequencies were evaluated. Logistic regression estimated the crude and adjusted odds ratios (OR) with 95% confidence intervals for the use of short-acting opioid prescription.

RESULTS

There were 155,947 included visits with 62.5% for female patients. Most patients were White with 11.7% identifying as Black, and 6% identifying as another race. Over 13% of the sample was of Hispanic descent. WC was the identified insurance type in 1.6% of the sample population. Of these patients, 25.6% were prescribed a short-acting opioid, compared with 10.1% of those with another identified insurance. On multivariable regression, Black patients had increased odds of being prescribed a short-acting opioid compared to white patients (OR: 1.22, 95% CI: 1.11-1.34). Those on WC had 1.7-fold higher odds of being prescribed short-acting opioids (95% CI: 1.46-2.06).

CONCLUSION

Certain patient characteristics, including having WC insurance, increased the odds of a short-acting opioid prescription. Further work is needed to identify prescribing patterns in specific high-risk occupational groups, as well as to elicit potential associated health outcomes.

Opioid prescribing patterns for distal radius fractures in the ambulatory setting: A 10-year retrospective study

OBJECTIVE

Distal radius fractures (DRFs) are one of the most common orthopedic injuries, with most managed in the nonoperative ambulatory setting. The objectives of this study are to examine National Health Center Statistics (NHCS) data for DRF treated in the nonoperative ambulatory setting to identify opioid and nonopioid analgesic prescribing patterns and to determine demographic risk factors for prescription of these medications. Design, setting, patients, and measures: This study is a retrospective analysis of data collected by the NHCS from 2007 to 2016. Utilizing International Classification of Diseases codes, all visits to emergency departments and doctors' offices for DRFs were identified. Variables of interest included demographic data, expected payment source, and prescription of opioid or nonopioid analgesics.

RESULTS

During the study timeframe, 15,572,531 total visits for DRFs were recorded. DRF visits requiring opioid and nonopioid analgesic prescriptions increased over time. Patients aged 45-64 years were significantly more likely to receive an opioid prescription than any other age group (p < 0.05). Opioid prescription was positively correlated with the use of workers' compensation and negatively correlated with patients receiving services under charity care (p < 0.05).

CONCLUSIONS

Prescriptions of both opioid and nonopioid analgesic medications for DRF have been steadily increasing over time in the nonoperative ambulatory setting, with middle-aged adults most likely to receive an opioid prescription. Opioid prescription rates differ significantly between patients utilizing workers' compensation and patients receiving services under charity care, suggesting that socioeconomic factors play a role in prescribing patterns.

Productivity Loss Among Opioid and Benzodiazepine Users in the United States: A Medical Expenditure Panel Survey From 2010 to 2019

OBJECTIVE

The aim of the study is to estimate the association between productivity losses and the use of prescription opioids and benzodiazepines among employed US adults with painful conditions.

METHODS

Using Medical Expenditures Panel Survey (2010-2019), we used two-part (logistic regression and generalized linear model with zero-truncated negative binomial link) model to compare missed workdays due to illness or injury among employed adults with a painful condition.

RESULTS

Of the eligible sample of 57,413 working US individuals, 14.65% were prescription opioid users, 2.95% were benzodiazepine users, and 1.59% were both opioid and benzodiazepine users. The predicted missed workdays were 5.75 (95% Confidence Limit [CL]: 5.58-5.92) days for benzodiazepine users, 13.06 (95% CL: 12.88-13.23) days among opioid users, and 15.18 (95% CL: 14.46-15.90) days for opioid and benzodiazepine concomitant users.

CONCLUSIONS

Concomitant use of prescription opioids and benzodiazepines was significantly associated with having more missed workdays among employed adults with documented painful conditions.

Predictors of Multiwave Opioid Use Among Older American Adults

Background and Objectives

Despite limited analgesic benefits, long-term opioid therapy (L-TOT) is common among older adults with chronic pain. Extended opioid use poses a threat to older adults as aging metabolisms retain opioids for longer, increasing the risk of injury, overdose, and other negative health outcomes. In contrast to predictors of general opioid use, predictors of L-TOT in older adults are not well documented. We aimed to identify such predictors using all available data on self-reported opioid use in the Health and Retirement Study.

Research Design and Methods

Using 5 waves of data, respondents (N = 10,713) aged 51 and older were identified as reporting no opioid use (n = 8,621), a single wave of use (n = 1,410), or multiple waves of use (n = 682). We conducted a multinomial logistic regression to predict both single- and multiwave opioid use relative to no use. Demographic, socioeconomic, geographic, health, and health care-related factors were included in our model.

Results

Multivariable findings show that, relative to nonusers, both single- and multiwave users were significantly more likely to be younger (relative risk ratio [RRR] = 1.33; RRR = 2.88); report lower household wealth (RRR = 1.47; RRR = 2.88); live in the U.S. Midwest (RRR = 1.29; RRR = 1.56), South (RRR = 1.34; RRR = 1.58), or West (RRR = 1.46; RRR = 2.34); experience interfering pain (RRR = 1.59; RRR = 3.39), back pain (RRR = 1.35; RRR = 1.53), or arthritic pain (RRR = 1.46; RRR = 2.32); and see the doctor frequently (RRR = 1.50; RRR = 2.02). Multiwave users were less likely to be Black (RRR = 0.69) or Hispanic (RRR = 0.45), and less likely to be never married (RRR = 0.52).

Discussion and Implications

We identified demographic, socioeconomic, geographic, and health care-related predictors of chronic multiyear opioid use. Our focus on individuals taking opioids for this extended duration is novel. Differences in opioid use by geographic region and frequency of doctor visits particularly warrant attention from policy-makers and researchers. We make additional recommendations based on a sensitivity analysis limited to 2016-2020 data.

Nurse-Led Telephone Follow-Up Intervention for Titrating and Tapering Opioids in Chronic Pain Patients - A Feasibility Study

Background and Purpose

Opioids in chronic non-cancer pain are debated, but remain a part of the pain treatment for selected patients. Research is scarce on the relieving and adverse effects of opioids, and how to deliver opioid treatment in this patient group. This study's purpose was to assess the feasibility of a nurse-led telephone follow-up intervention for titrating or tapering opioids, including a pilot study of the intervention outcomes.

Patients and Methods

The feasibility assessment and process evaluation were performed according to the UK Medical Research Council (MRC) framework for evaluating complex interventions. A pilot study of the intervention outcomes was also performed. With a retrospective, descriptive, and longitudinal approach, we analyzed reports from 32 patients who titrated or tapered opioids. Information on demography, sleep satisfaction, health status, pain intensity/bothersomeness, opioid doses, and side effects was derived from the Oslo Pain Registry. Descriptive statistics, t-tests, and chi-square tests were used to analyze registry data.

Results

The study findings indicate that the intervention is feasible. Areas of impact were lack of a sound theory basis, unclear allocation criteria, and inconsistent and non-validated measurement tools. Mechanisms of change were interprofessional collaboration, nurses' knowledge and competencies, predictability, and availability. Statistical analyses showed no between-groups differences in demographical-, clinical-, and pain characteristics, except those who titrated opioids were significantly older than patients tapering opioids (P=0.010). All patients reported poor health and side effects at baseline. Those who tapered opioids had a significant reduction in opioid use (P=0.004). Titrating opioids was associated with a significant increase in side effects (P=0.038).

Conclusion

Considering the limitations and the strengths of the intervention, the present study indicates that the nurse-led telephone follow-up program is a feasible intervention. With the right adjustments and improvements, the intervention is eligible for a larger efficacy study.

Injuries That Happen at Work Lead to More Opioid Prescriptions and Higher Opioid Costs

OBJECTIVES

This study aimed to compare opioid prescription incidence, supply days, and cost associated with occupational injury and other injury-caused conditions.

METHODS

We used Medical Expenditure Panel Survey (MEPS) data for 2010-2019. The MEPS provides information on medical conditions and associated medical encounters, treatments, and treatment costs, as well as demographic, education, health, working status, income, and insurance coverage information. We used descriptive statistics and logistic and 2-part regressions.

RESULTS

Controlling for covariates and compared with other injury-caused conditions, occupational injury-caused conditions resulted in 33% higher odds of opioid prescribing, 32.8 more opioid prescription supply days, and $134 higher average cost.

CONCLUSIONS

Occupational injuries were associated with higher opioid incidence and costs, and more opioid supply days. These findings point to the need to focus on making work safer and the role employers may play in supporting worker recovery from injury and opioid use disorders.

Associations of employment status with opioid misuse: Evidence from a nationally representative survey in the U.S

The opioid crisis in the United States (U.S.) is widespread and increasing in severity, and psychosocial exposures have been identified as potential risk factors. We examined associations of employment status with opioid misuse in a large, nationally representative, population-based sample in the U.S. Data were from the 2019 National Survey of Drug Use and Health (NSDUH), an annual cross-sectional survey. The association of employment status with opioid misuse in 40,143 participants was examined by multivariable logistic regression, adjusting for age, sex, race/ethnicity, marital status, household income, educational attainment, medical insurance status, physical health conditions and depression. Analyses were weighted to represent a nationally representative sample of adults in the U.S. In NSDUH 2019, 3.82% of American individuals reported past-year opioid misuse. After taking relevant variables into account, compared to workers who were employed with normal working hours (35-40 h/week), those who were currently unemployed had higher odds of opioid misuse (fully adjusted odds ratio and 95% confidence interval were 1.40 [1.09, 1.79]). Compared to workers employed with normal working hours, those who were in school/training or retired had lower odds of opioid misuse. Short or long working hours were not associated with opioid misuse. Government and employer policy interventions may benefit from emphasizing stable employment as a major social determinant of health in the context of the opioid crisis.

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).

Prevalence of Self-Reported Prescription Opioid Use and Illicit Drug Use Among U.S. Adults: NHANES 2005-2016

OBJECTIVE

To estimate the self-reported prevalence of prescription opioid use and illicit drug use in the United States.

METHODS

Self-reported prescription opioid use and illicit drug use (mostly nonopioid) were obtained for adults and adult workers (NHANES 2005-2016).

RESULTS

Prevalence (95% CI) of prescription opioid use was 6.5% (6.0-7.0) (adults) and 4.1% (3.7-4.5) (workers). Prevalence of illicit drug use was 9.5% (8.8-10.1) (adults) and 10.2% (9.4-11.1) (workers). Among occupations, prevalence of prescription opioid use was highest in personal care (6.5%; 4.1-10.4) and healthcare practitioners (5.9%; 3.8-9.0); for illicit drug use, construction/extraction (18.0%; 15.1-21.3) and food preparation (15.8%; 12.5-19.7).

CONCLUSION

The prevalence of prescription opioid use was elevated among some occupations. Judicious prescription strategies and targeted interventions are both needed. The prevalence of illicit drug use among certain occupational groups suggests the need to ensure access to therapy.

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.

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.

Exploring biopsychosocial correlates of pain, pain management strategies, and risk for opioid misuse among home care workers in Washington State

Home care workers (HCWs) are at high risk for musculoskeletal pain and injury, and they are an important population for pain management research and intervention. The purpose of this study was to gather novel data on HCWs' work characteristics, pain experiences, pain management strategies, and risk for opioid misuse. A survey invitation was e-mailed to a random sub-sample of HCWs in Washington State, and 421 responded. Over half (54.2%) reported chronic or currently elevated pain. Pharmacological pain management strategies were used by 67.3% of all respondents with 4.8% reporting prescription opioid use. Biopsychosocial factors like injuries, interpersonal conflict, financial strain, and anxiety were associated with increased opioid misuse risk. Multimodal primary and secondary interventions are recommended to improve HCWs' pain management.