Cost Drivers of Prescription Opioid Abuse in Commercial and Medicare Populations

Association of opioid use disorder with healthcare utilization and cost in a public health system

AIM

To quantify the healthcare costs associated with opioid use disorder among members in a public healthcare system and compare them with healthcare costs in the general population.

DESIGN

Retrospective cohort study.

SETTING

Inpatient and outpatient care settings of Israel's largest public healthcare provider (that covers 4.7 million members).

PARTICIPANTS

Participants included 1173 members who had a diagnosis of opioid use disorder in the years between 2013 and 2018. Each patient was matched with 10 controls based on age and sex.

MEASUREMENTS

The main outcome was monthly healthcare costs.

FINDINGS

The mean monthly healthcare cost of members with opioid use disorder was $1102 compared with $211 among controls (5.2-fold difference; 95% CI, 4.6-6.0). After excluding members with heroin related diagnoses before the index date (to focus on prescription opioids), this healthcare cost ratio did not substantially change (4.6-fold; 95% CI, 3.9-5.4). Members with opioid use disorder under the age of 65 years had a cost difference of 6.1-fold (95% CI, 5.2-7.1), whereas those 65 years and older experienced cost difference of 3.4-fold (95% CI, 2.6-4.5), compared with controls. The category with the highest cost for members with opioid use disorder was inpatient services, which was 8.7-fold (95%CI, 7.2-10.4) greater than among controls.

CONCLUSIONS

Healthcare costs among individuals with opioid use disorder in Israel's public health system are substantially higher than among controls, at least partially attributable to prescription opioid use disorder. Differences are greater among individuals under 65 years.

Discharge locations after hospitalizations involving opioid use disorder among medicare beneficiaries

BACKGROUND

Hospitalizations involving opioid use disorder (OUD) have been increasing among Medicare beneficiaries of all ages. With rising OUD-related acute care use comes the need to understand where post-acute care is provided and the capacities for OUD treatment in those settings. Our objective was to describe hospitalized Medicare beneficiaries with OUD, their post-acute care locations, and all-cause mortality and readmissions stratified by post-acute care location.

METHODS

We conducted a retrospective cohort study of acute hospitalizations using 2016-2018 Medicare Provider Analysis and Review (MedPAR) files linked to Medicare enrollment data and the Residential History File (RHF) for 100% of Medicare fee-for-service beneficiaries. The RHF which provides a person-level chronological history of health service utilization and locations of care was used to identify hospital discharge locations. We used ICD-10 codes for opioid dependence or "abuse" to identify OUD diagnoses from the MedPAR file. We conducted logistic regression to identify factors associated with discharge to an institutional setting versus home adjusting for demographics, comorbidities, and hospital stay characteristics.

RESULTS

Our analysis included 459,763 hospitalized patients with OUD. Of these, patients aged < 65 years and those dually enrolled in Medicaid comprised the majority (59.1%). OUD and opioid overdose were primary diagnoses in 14.3% and 6.2% of analyzed hospitalizations, respectively. We found that 70.3% of hospitalized patients with OUD were discharged home, 15.8% to a skilled nursing facility (SNF), 9.6% to a non-SNF institutional facility, 2.5% home with home health services, and 1.8% died in-hospital. Within 30 days of hospital discharge, rates of readmissions and mortality were 29.7% and 3.9%; respectively, with wide variation across post-acute locations. Factors associated with greater odds of discharge to institutional settings were older age, female sex, non-Hispanic White race and ethnicity, dual enrollment, longer hospital stay, more comorbidities, intensive care use, surgery, and primary diagnoses including opioid or other drug overdoses, fractures, and septicemia.

CONCLUSIONS

More than one-quarter (25.8%) of hospitalized Medicare beneficiaries with OUD received post-acute care in a setting other than home. High rates and wide variation in all-cause readmissions and mortality within 30 days post-discharge emphasize the need for improved post-acute care for people with OUD.

The Financial Burden of Opioid-Related Abuse among Surgical and Non-Surgical Patients in Florida: A Longitudinal Study

Florida is one of the eight states labeled as a high-burden opioid abuse state and is an epicenter for opioid use and misuse. The aim of our study was to measure multi-year total room charges and costs billed for opioid abuse-related events and to compare the costs of inpatient opioid abusers and non-opioid abusers for Florida hospitals from 2011 to 2017. We constructed a retrospective case-control longitudinal study design on inpatient administrative discharge data across 173 hospitals. Opioid abuse was defined using both ICD-9-CM and ICD-10-CM systems. We found a statistically significant association between opioid abuse diagnosis and total room charge. On average, opioid abuse status increased the room charges by 8.1%. We also noticed year-to-year variations in opioid abuse had a remarkable influence on hospital finances. We showed that since 2015, the differences significantly increased from 4–5% to 13–14% for both room charges and cost, which indicates the financial burden due to opioid abuse becoming more frequent. These findings are important to policymakers and hospital administrators because they provide crucial insight into Florida’s opioid crisis and its economic burden on hospitals.

The Economic Burden of Abuse of Prescription Opioids: A Systematic Literature Review from 2012 to 2017

BACKGROUND

Abuse of prescription opioids [opioid use disorder (OUD), poisoning, and fatal and non-fatal overdose] is a public health and economic challenge that is associated with considerable morbidity and mortality in the USA and globally.

OBJECTIVE

To systematically review and summarize the health economics literature published over the last 5 years that describes the economic burden of abuse of prescription opioids.

METHODS

Findings from searches of databases including MEDLINE, Embase, and Cochrane CENTRAL as well as hand searches of multiple conference abstracts were screened against predefined inclusion criteria to identify studies reporting cost and healthcare resource utilization (HRU) data associated with abuse of prescription opioids.

RESULTS

A total of 49 unique studies were identified. Most of the studies examined direct costs and HRU, which were substantially higher for abusers of prescription opioids than non-abuser controls in several matched cohort analyses (US$20,343-US$28,718 vs US$9716-US$14,079 for mean direct combined annual healthcare costs reported in 6 studies). Although only a small number of studies reported indirect costs, these findings suggest a high societal burden related to productivity losses, absenteeism, morbidity, and mortality among those who abuse opioids. Studies of medication-assisted treatment demonstrated that factors such as adherence, dose, formulation (film or tablet), and relapse during treatment, were associated with direct costs and HRU among treated patients.

CONCLUSIONS

This systematic literature review shows that abuse of prescription opioids is characterized by substantial direct healthcare costs, medical utilization, and related societal costs. Future research should further investigate the indirect costs of opioid abuse.

The Economic Burden of Abuse of Prescription Opioids: A Systematic Literature Review from 2012 to 2017

BACKGROUND

Abuse of prescription opioids [opioid use disorder (OUD), poisoning, and fatal and non-fatal overdose] is a public health and economic challenge that is associated with considerable morbidity and mortality in the USA and globally.

OBJECTIVE

To systematically review and summarize the health economics literature published over the last 5 years that describes the economic burden of abuse of prescription opioids.

METHODS

Findings from searches of databases including MEDLINE, Embase, and Cochrane CENTRAL as well as hand searches of multiple conference abstracts were screened against predefined inclusion criteria to identify studies reporting cost and healthcare resource utilization (HRU) data associated with abuse of prescription opioids.

RESULTS

A total of 49 unique studies were identified. Most of the studies examined direct costs and HRU, which were substantially higher for abusers of prescription opioids than non-abuser controls in several matched cohort analyses (US$20,343-US$28,718 vs US$9716-US$14,079 for mean direct combined annual healthcare costs reported in 6 studies). Although only a small number of studies reported indirect costs, these findings suggest a high societal burden related to productivity losses, absenteeism, morbidity, and mortality among those who abuse opioids. Studies of medication-assisted treatment demonstrated that factors such as adherence, dose, formulation (film or tablet), and relapse during treatment, were associated with direct costs and HRU among treated patients.

CONCLUSIONS

This systematic literature review shows that abuse of prescription opioids is characterized by substantial direct healthcare costs, medical utilization, and related societal costs. Future research should further investigate the indirect costs of opioid abuse.

Healthcare costs and utilization associated with high-risk prescription opioid use: a retrospective cohort study

BACKGROUND

Previous studies on high-risk opioid use have only focused on patients diagnosed with an opioid disorder. This study evaluates the impact of various high-risk prescription opioid use groups on healthcare costs and utilization.

METHODS

This is a retrospective cohort study using QuintilesIMS health plan claims with independent variables from 2012 and outcomes from 2013. We included a population-based sample of 191,405 non-elderly adults with known sex, one or more opioid prescriptions, and continuous enrollment in 2012 and 2013. Three high-risk opioid use groups were identified in 2012 as (1) persons with 100+ morphine milligram equivalents per day for 90+ consecutive days (chronic users); (2) persons with 30+ days of concomitant opioid and benzodiazepine use (concomitant users); and (3) individuals diagnosed with an opioid use disorder. The length of time that a person had been characterized as a high-risk user was measured. Three healthcare costs (total, medical, and pharmacy costs) and four binary utilization indicators (the top 5% total cost users, the top 5% pharmacy cost users, any hospitalization, and any emergency department visit) derived from 2013 were outcomes. We applied a generalized linear model (GLM) with a log-link function and gamma distribution for costs while logistic regression was employed for utilization indicators. We also adopted propensity score weighting to control for the baseline differences between high-risk and non-high-risk opioid users.

RESULTS

Of individuals with one or more opioid prescription, 1.45% were chronic users, 4.81% were concomitant users, and 0.94% were diagnosed as having an opioid use disorder. After adjustment and propensity score weighting, chronic users had statistically significant higher prospective total (40%), medical (3%), and pharmacy (172%) costs. The increases in total, medical, and pharmacy costs associated with concomitant users were 13%, 7%, and 41%, and 28%, 21% and 63% for users with a diagnosed opioid use disorder. Both total and pharmacy costs increased with the length of time characterized as high-risk users, with the increase being statistically significant. Only concomitant users were associated with a higher odds of hospitalization or emergency department use.

CONCLUSIONS

Individuals with high-risk prescription opioid use have significantly higher healthcare costs and utilization than their counterparts, especially those with chronic high-dose opioid use.

Costs and Work Loss Burden of Diagnosed Opioid Abuse Among Employees on Workers Compensation or Short-term Disability

OBJECTIVE

To compare 12-month healthcare costs between employees with versus without diagnosed opioid abuse within 12 months after an injury-related workers' compensation (WC) or short-term disability (STD) claim.

METHODS

Retrospective study using 2003 to 2014 US insurance claims linked to administrative data on WC/STD claims. Multivariable models compared healthcare costs between employees with versus without diagnosed opioid abuse.

RESULTS

Study included 107,975 opioid-treated employees with an injury-related WC or STD claim. Mean number of opioid prescription fills and adjusted total healthcare costs were substantially greater in employees with diagnosed opioid abuse versus without (WC: 13.4 vs. 4.5, P < 0.001; $18,073 vs. $8470, P < 0.001; STD: 13.7 vs. 4.5, P < 0.001; $25,693 vs. $14,939, P < 0.001).

CONCLUSION

Opioids are commonly prescribed to employees with injury-related WC/STD claims. Employers may benefit from proactively addressing the issue of opioid abuse in these populations.

Cost-effectiveness of subdermal implantable buprenorphine versus sublingual buprenorphine to treat opioid use disorder

AIMS

Subdermal implantable buprenorphine (BSI) was recently approved to treat opioid use disorder (OUD) in clinically-stable adults. In the pivotal clinical trial, BSI was associated with a higher proportion of completely-abstinent patients (85.7% vs 71.9%; p = .03) vs sublingual buprenorphine (SL-BPN). Elsewhere, relapse to illicit drug use is associated with diminished treatment outcomes and increased costs. This study evaluated the cost-effectiveness of BSI vs SL-BPN from a US societal perspective.

METHODS

A Markov model simulated BSI and SL-BPN cohorts (clinically-stable adults) transiting through four mutually-exclusive health states for 12 months. Cohorts accumulated direct medical costs from drug acquisition/administration; treatment-diversion/abuse; newly-acquired hepatitis-C; emergency room, hospital, and rehabilitation services; and pediatric poisonings. Non-medical costs of criminality, lost wages/work-productivity, and out-of-pocket expenses were also included. Transition probabilities to a relapsed state were derived from the aforementioned trial. Other transition probabilities, costs, and health-state utilities were derived from observational studies and adjusted for trial characteristics. Outcomes included incremental cost per quality-adjusted-life-year (QALY) gained and incremental net-monetary-benefit (INMB). Uncertainty was assessed by univariate and probabilistic sensitivity analysis (PSA).

RESULTS

BSI was associated with lower total costs (-$4,386), more QALYs (+0.031), and favorable INMB at all willingness-to-pay (WTP) thresholds considered. Higher drug acquisition costs for BSI (+$6,492) were outpaced, primarily by reductions in emergency room/hospital utilization (-$8,040) and criminality (-$1,212). BSI was cost-effective in 89% of PSA model replicates, and had a significantly higher NMB at $50,000/QALY ($20,783 vs $15,007; p < .05).

CONCLUSIONS

BSI was preferred over SL-BPN from a health-economic perspective for treatment of OUD in clinically-stable adults. These findings should be interpreted carefully, due to some relationships having been modeled from inputs derived from multiple sources, and would benefit from comparison with outcomes from studies that employ administrative claims data or a naturalistic comparative design.

Economic Burden of Prescription Opioid Misuse and Abuse: A Systematic Review

A 2009 systematic review found that the total cost of prescription opioid abuse in 2001 in the United States was approximately $8.6 billion and medical expenses were estimated to be $15,884 for opioid abusers and $1,830 for nonabusers. A search was conducted for English publications on the cost of prescription opioid abuse and misuse from 2009 to 2014. The initial literature search identified 5,412 citations. Title and abstract review selected 59 for further review. The final review process resulted in 16 publications for inclusion that examined cost from the payer perspective. Mean costs to the payer for abusers were $23,000-$25,000 per year and excess costs approximately $15,000 per patient. Three papers were identified that presented societal costs, including direct and indirect costs such as criminal justice costs and costs associated with lost productivity. The strongest evidence suggests that societal cost is in excess of $50 billion per year in the United States. Prescription opioid abuse and misuse is a common and important problem throughout the world that has significant associated societal costs and excess medical costs.

BETWEEN A ROCK AND A HARD PLACE: CAN PHYSICIANS PRESCRIBE OPIOIDS TO TREAT PAIN ADEQUATELY WHILE AVOIDING LEGAL SANCTION?

Prescription opioids are an important tool for physicians in treating pain but also carry significant risks of harm when prescribed inappropriately or misused by patients or others. Recent increases in opioid-related morbidity and mortality has reignited scrutiny of prescribing practices by law enforcement, regulatory agencies, and state medical boards. At the same time, the predominant 4D model of misprescribers is outdated and insufficient; it groups physician misprescribers as dated, duped, disabled, or dishonest. The weaknesses and inaccuracies of the 4D model are explored, along with the serious consequences of its application. This Article calls for development of an evidence base in this area and suggests an alternate model of misprescribers, the 3C model, which more accurately characterizes misprescribers as careless, corrupt, or compromised by impairment.

The economic burden of diagnosed opioid abuse among commercially insured individuals

The abuse of prescription opioids imposes a substantial public health and economic burden. Recent research using administrative claims data has substantiated the prevalence and cost of opioid abuse among commercially insured individuals. Although administrative claims data are readily available and have been used to effectively answer research questions about the burden of illness for many different conditions, an important issue is the reliability, replicability, and generalizability of estimates derived from different databases. Therefore, this study sought to assess whether the findings of a recently published study of opioid abuse in a commercial claims database (original analysis) could be replicated in a different commercial claims database. The original analysis, which analyzed the prevalence and excess health care costs of diagnosed opioid abuse in the OptumHealth Reporting and Insights Database, was replicated by applying the same approach to the Truven MarketScan Commercial Claims and Encounters Database (replication analysis). In the replication analysis, the prevalence of diagnosed opioid abuse increased steadily from 15.8 diagnosed opioid abusers per 10,000 in 2009, to 26.6 diagnosed opioid abusers per 10,000 in 2012. Although the prevalence of diagnosed opioid abuse was higher than reported in the original analysis, the trend of increasing prevalence over time was consistent across analyses. Additionally, diagnosed abusers had excess annual per patient health care costs of $11,376 in the replication analysis, which was consistent with the excess annual per patient health care costs of diagnosed abuse of $10,627 reported in the original analysis. The replication analysis also found an upward trend in the prevalence of diagnosed opioid abuse over time and substantial excess annual per patient health care costs of diagnosed opioid abuse among commercially insured individuals, suggesting that these findings are generalizable to other commercially insured populations.