Estimating the health care burden of prescription opioid abuse in five European countries.

BACKGROUND: Opioid abuse, including abuse of prescription opioids ("RxOs") and illicit substances like heroin, is a serious public health issue in Europe. Currently, there is limited data on the magnitude of RxO abuse in Europe, despite increasing public and scientific interest in the issue. The purpose of this study was to use the best-available data to derive comparable estimates of the health care burden of RxO abuse in France, Germany, Italy, Spain, and the United Kingdom (EU5). METHODS: Published data on the prevalence of problem opioid use and the share of opioid abuse patients reporting misuse of non-heroin opioids were used to estimate the prevalence of RxO abuse in the EU5 countries. The costs of RxO abuse were calculated by applying published estimates of the incremental health care costs of opioid abuse to country-specific estimates of the costs of chronic pain conditions. These estimates were input into an economic model that quantified the health care burden of RxO abuse in each of the EU5 countries. Sensitivity analyses examined key assumptions. RESULTS: Based on best-available current data, prevalence estimates of RxO abuse ranged from 0.7 to 13.7 per 10,000 individuals across the EU5 countries. Estimates of the incremental health care costs of RxO abuse ranged from €900 to €2,551 per patient per year. The annual health care cost burden of RxO abuse ranged from €6,264 to €279,927 per 100,000 individuals across the EU5 countries. CONCLUSION: This study suggests that RxO abuse imposes a cost burden on health systems in the five largest European countries. The extent of RxO abuse in Europe should be monitored given the potential for change over time. Continued efforts should be made to collect reliable data on the prevalence and costs of RxO abuse in Europe to facilitate an accurate characterization of the extent of this potentially growing problem.

Characteristics of High-Cost Patients Diagnosed with Opioid Abuse.

BACKGROUND: Prescription opioid abuse is associated with substantial economic burden, with estimates of incremental annual per-patient health care costs of diagnosed opioid abuse exceeding $10,000 in prior literature. A subset of patients diagnosed with opioid abuse has disproportionately high health care costs, but little is known about the characteristics of these patients.  OBJECTIVE: To describe the characteristics of a subset of patients diagnosed with opioid abuse with disproportionately high health care costs to assist physicians and managed care organizations in targeting interventions at the costliest patients. METHODS: This retrospective claims data analysis identified patients aged 12 to 64 years diagnosed with opioid abuse/dependence in the OptumHealth Reporting and Insights medical and pharmacy claims database, Quarter 1 (Q1) 1999-Q1 2012. Inclusion criteria required that patients had a diagnosis of opioid abuse during or after Q1 2006, no prior diagnoses of opioid abuse, and continuous non-HMO coverage over an 18-month study period. The study period comprised a 12-month observation period centered on the date of the first opioid abuse diagnosis (index date) and a 6-month baseline period immediately preceding the observation period. Patients in the top 20% of total health care costs in the observation period were classified as "high-cost patients," and the remaining patients were classified as "lower-cost patients." Patient characteristics, comorbidities, health care resource use, and health care costs were compared between high-cost patients and lower-cost patients using chi-square tests for dichotomous variables and Wilcoxon rank-sum tests for continuous variables. In addition, multivariate regression was used to assess the relationship between patient characteristics in the baseline period and total health care costs in the observation period among all patients diagnosed with opioid abuse.  RESULTS: 9,291 patients diagnosed with opioid abuse met the inclusion criteria. The 20% of patients classified as high-cost patients accounted for approximately two thirds of the total health care costs of patients diagnosed with opioid abuse. Compared with lower-cost patients, high-cost patients were older (42.5 vs. 36.1; P less than 0.001) and more likely to be female (55.9% vs. 42.9%; P less than 0.001). They had a higher comorbidity burden at baseline, as reflected in the Charlson Comorbidity Index (0.8 vs. 0.2; P less than 0.001), and rates of conditions such as chronic pulmonary disease (12.9% vs. 5.6%; P less than 0.001) and mild/moderate diabetes (8.4% vs. 3.4%; P less than 0.001). High-cost patients also had higher rates of nonopioid substance abuse diagnoses (12.4% vs. 8.9%; P less than 0.001) and psychotic disorders (26.5% vs. 13.6%; P less than 0.001). In the observation period, high-cost patients continued to have higher rates of nonopioid substance abuse diagnoses (53.0% vs. 47.2%; P less than 0.001) and psychotic disorders (67.1% vs. 47.5%; P less than 0.001). In addition, they had greater medical resource use across all places of service (i.e., inpatient, emergency department, outpatient, drug/alcohol rehabilitation facility, and other) compared with lower-cost patients. The mean observation period health care costs of high-cost patients was $89,177 compared with $11,653 for lower-cost patients (P less than 0.001). High-cost patients had higher medical costs linked to claims with an opioid abuse diagnosis in absolute terms, but the share of total medical costs attributed to such claims was lower among high-cost patients than among lower-cost patients. While many baseline characteristics were found to have a statistically significant (P less than 0.05) association with observation period health care costs, only 27.3% of the variation in observation period health care costs was explained by patient characteristics in the baseline period. CONCLUSIONS: This study found that the costliest patients diagnosed with opioid abuse had high rates of preexisting and concurrent chronic comorbidities and mental health conditions, suggesting potential indicators for targeted intervention and a need for greater awareness and screening of comorbid conditions. Opioid abuse may exacerbate existing conditions and make it difficult for patients to adhere to treatment plans for those underlying conditions. Baseline patient characteristics explained only a small share of the variation in observation period health care costs, however. Future research should explore the degree to which other factors not captured in administrative claims data (e.g., severity of abuse) can explain the wide variation in health care costs among opioid abusers.

The Burden of Undiagnosed Opioid Abuse Among Commercially Insured Individuals.

OBJECTIVES: Estimate the prevalence and healthcare costs of undiagnosed opioid abuse among commercially insured individuals. STUDY DESIGN: Retrospective analysis of de-identified pharmacy and medical claims data and publicly-available survey data (no IRB approval required). METHODS: This study focused on commercially insured individuals. Rates of prescription pain-reliever abuse/dependence ("abuse") among individuals ages ≥12 were calculated using National Survey on Drug Use and Health (NSDUH) public-use data for 2006-2011 and assumed to capture both diagnosed and undiagnosed opioid abuse. Rates of undiagnosed opioid abuse were calculated as the difference between NSDUH rates and published rates of diagnosed opioid abuse. OptumHealth Reporting and Insights claims data were used to estimate the healthcare costs of undiagnosed abuse. Diagnosed abusers ages 12-64 were identified using ICD-9-CM diagnosis codes for opioid abuse/dependence. Pre-diagnosis costs were assumed to be a proxy for undiagnosed opioid abuse costs. The ratio of undiagnosed to diagnosed abuse costs was calculated as the ratio of annual per-patient healthcare costs between pre-diagnosis and post-diagnosis periods. RESULTS: While rates of diagnosed opioid abuse among commercially insured individuals increased from 0.07% in 2006 to 0.19% in 2011, rates of undiagnosed abuse decreased from 0.42% to 0.38% over the same time period. Annual per-patient healthcare costs of undiagnosed abusers were 69.2% of those of diagnosed abusers. CONCLUSIONS: Per-patient healthcare costs of undiagnosed abusers among the commercially insured are estimated to be lower than those of diagnosed abusers. However, the higher prevalence of undiagnosed opioid abuse implies that undiagnosed abuse represents a substantial burden to commercial payers.

Sources of prescription opioids among diagnosed opioid abusers.

OBJECTIVE: Diversion and abuse of prescription opioids are important public health concerns in the US. This study examined possible sources of prescription opioids among patients diagnosed with opioid abuse. METHODS: Commercially insured patients aged 12-64 diagnosed with opioid abuse/dependence ('abuse') were identified in OptumHealth Reporting and Insights medical and pharmacy claims data, 2006-2012, and required to have continuous eligibility over an 18 month study period surrounding the first abuse diagnosis. We examined whether abusers had access to prescription opioids through their own prescriptions and/or to diverted prescription opioids through family members' prescriptions obtained prior to the abuser's first abuse diagnosis. For comparison, we examined access to prescription opioids of a reference population of non-abusers. Sensitivity analyses focused on patients initially diagnosed with opioid dependence and, separately, abusers not previously treated with buprenorphine. RESULTS: Of the 9291 abusers meeting the selection criteria, 79.9% had an opioid prescription prior to their first abuse diagnosis; 20.1% of abusers did not have an opioid prescription prior to their first abuse diagnosis, of whom approximately half (50.8%) had a family member who had an opioid prescription prior to the abuser's first abuse diagnosis (compared to 42.2% of non-abusers). Similar results were found among patients initially diagnosed with opioid dependence and among abusers not previously treated with buprenorphine. LIMITATIONS: The study relied on the accuracy of claims data to identify abusers, but opioid abuse is often undiagnosed. In addition, only prescription claims that were reimbursed by a health plan were included in the analysis. CONCLUSIONS: While most abusers had access to prescription opioids through their own prescriptions, many abusers without their own opioid prescriptions had access to prescription opioids through family members and may have obtained prescription opioids that way. Given the study design and data source, this is likely a conservative estimate of prescription opioid diversion.

Medical resource use and costs among pain patients with potential opioid-tolerability issues.

OBJECTIVE: To estimate excess medical resource use and costs associated with prescription opioid (RxO) tolerability issues. DESIGN: This was an observational, retrospective analysis of deidentified administrative claims data. SETTING: The study included commercially insured patients treated in different healthcare settings captured in the Truven MarketScan claims database. PATIENTS: Patients aged 18-64 years initiating treatment with an RxO (index) and continuously treated with pain relievers over a 6-month period were selected. "Switchers" were patients who discontinued their index RxO and switched to non-RxO pain relievers < 30 days post-index, and whose last pain reliever in the 6-month follow-up period was not an RxO. Such switching was considered a proxy for RxO-tolerability issues. "Continuous RxO users" were patients who remained on the index RxO for the follow-up period. Switchers and continuous RxO users were matched 1:1 on propensity score, baseline medical costs, index RxO days supply, and short-/long-acting index RxO. MAIN OUTCOME MEASURES: Six-month follow-up medical resource use and costs were compared between matched switchers and continuous RxO users. RESULTS: A total of 10,704 pairs of switchers and continuous RxO users were matched. In the 6-month follow-up period, switchers had more outpatient (7.5 vs 6.8; p < 0.001) and inpatient (0.05 vs 0.04; p = 0.002) visits and longer inpatient stays (0.26 days vs 0.19; p = 0.006) compared to continuous RxO users. Switchers also had higher total medical costs ($4,522 vs $3,657; p < 0.001). CONCLUSIONS: Switchers incur greater medical resource use and costs than similar patients continuously treated with their index RxO.

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.

Estimating the costs of opioid abuse and dependence from an employer perspective: a retrospective analysis using administrative claims data.

BACKGROUND: Opioid abuse and dependence is problematic across many age groups, including the working-age population and their dependents. Little is known, however, about the economic costs of opioid abuse/dependence imposed on employers, who pay for a substantial portion of healthcare costs through their contributions to employer-sponsored health insurance and are also affected by indirect costs such as those due to disability and workplace absenteeism. OBJECTIVE: To provide a comprehensive, current estimate of the economic burden of prescription opioid abuse/dependence to employers. METHODS: Administrative claims from beneficiaries covered by large self-insured companies throughout the USA were used to identify patients, including employees and dependents, who were diagnosed with opioid abuse and/or dependence ('abusers') between 2006 and 2012. Healthcare and work-loss costs for abusers were assessed over a 12-month period and compared with those for patients not diagnosed with abuse ('comparison patients'), using propensity score matching. RESULTS: 7,658 matched pairs of abusers and comparison patients were analysed. Relative to comparison patients, abusers had significantly higher annual healthcare resource utilization, leading to US$10,627 in per-patient incremental annual healthcare costs. Additionally, abusers had US$1,244 in excess annual work-loss costs. Together, this implies an employer burden for diagnosed abuse of US$1.71 per member per month. CONCLUSION: Opioid abuse/dependence impose a substantial economic burden on employers.

The impact of Brazil's Bolsa Família conditional cash transfer program on children's health care utilization and health outcomes.

BACKGROUND: Conditional cash transfer (CCT) programs provide poor families with cash conditional on investments in health and education. Brazil's Bolsa Família program began in 2003 and is currently the largest CCT program in the world. This community-based study examines the impact of Bolsa Família on child health in a slum community in a large urban center. METHODS: In 2010, detailed household surveys were conducted with randomly selected Bolsa Família beneficiaries and non-beneficiaries in a Brazilian slum community of approximately 14,000 inhabitants in a large urban center. 567 families (with 1,266 children) were interviewed. Propensity score methods were used to control for differences between beneficiary and non-beneficiary children to estimate program impacts on health care utilization and health outcomes. RESULTS: Bolsa Família has increased the odds of children's visits to the health post for preventive services. In children under age seven, Bolsa Família was associated with increased odds for growth monitoring (OR = 3.1; 95% CI 1.9-5.1), vaccinations (OR = 2.8; 95% CI 1.4-5.4), and checkups (OR = 1.6; 95% CI 0.98-2.5), and with the number of growth monitoring visits (ß = 0.6; p = 0.049) and checkups (ß = 0.2; p = 0.068). There were positive spillover effects on older siblings (ages 7-17) no longer required to meet the health conditionalities. Bolsa Família increased their odds for growth monitoring (OR = 2.5; 95% CI 1.3-4.9) and checkups (OR = 1.7; 95% CI 0.9-3.2) and improved psychosocial health (ß = 2.6; p = 0.007). CONCLUSIONS: Bolsa Família has improved health care utilization, especially for services related to the health conditionalites, and there were positive spillover effects on older siblings. The findings of this study are promising, but they also suggest that further improvements in health may depend on the quality of health care services provided, the scope of services linked to the health conditionalities, and coordination with other social safety net programs.

Use of prescription opioids with abuse-deterrent technology to address opioid abuse.

OBJECTIVE: The development of new formulations of extended-release (ER) opioids with abuse-deterrent technology attempts to deter prescription opioid abuse while maintaining appropriate access to care for pain patients. This study examined the degree to which some patients may avoid switching to reformulated ER opioids with abuse-deterrent technology and the extent to which those patients are more likely to be abusers. RESEARCH DESIGN AND METHODS: We analyzed Truven MarketScan pharmacy and medical claims data following the introduction of two reformulated ER opioids with abuse-deterrent technology. Adults aged 18-64 who were continuous users of extended-release oxycodone HCl (ER oxycodone) or extended-release oxymorphone HCl (ER oxymorphone) in a 6 month period prior to the introduction of the respective reformulations of those products were identified and categorized based on whether they switched to the reformulation, switched to other ER/long-acting (LA) opioids (without abuse-deterrent technology), or discontinued ER/LA opioid treatment in a 6 month post-reformulation period. Abusers were identified using ICD-9-CM diagnosis codes for opioid abuse/dependence. Pearson's chi-squared tests and Fisher's exact tests were then used to compare rates of abuse between patients who avoided switching to a reformulated ER opioid. Sensitivity analyses examined several definitions used in this analysis. MAIN OUTCOME MEASURES: ER/LA opioid utilization; rates of diagnosed opioid abuse. RESULTS: A total of 31%-50% of patients avoided switching to reformulated ER opioids. Rates of diagnosed opioid abuse were higher among these patients compared to patients who transitioned to the reformulated ER opioids. LIMITATIONS: Due to the observational research design, caution is warranted in causal interpretation of the findings. The study was conducted among commercially insured continuous ER oxycodone or ER oxymorphone users; future research should consider additional patient populations, such as non-continuous users and those without commercial insurance (i.e., Medicare, Medicaid, uninsured). CONCLUSIONS: Some patients switched to other ER/LA opioids without abuse-deterrent technology or discontinued ER/LA opioid treatment when their existing ER treatment was reformulated. Rates of opioid abuse were higher among patients who switched to other ER/LA opioids or discontinued ER/LA opioid treatment, suggesting that abusers may seek more easily abuseable alternatives such as prescription opioids without abuse-deterrent technology.

Medical cost savings associated with an extended-release opioid with abuse-deterrent technology in the US.

OBJECTIVES: In the US, prescription opioids with technology designed to deter abuse have been introduced to deter drug abuse without hindering appropriate access for pain patients. The objective of this study was to estimate changes in medical costs following the introduction of a new formulation of extended-release (ER) oxycodone HCl (oxycodone) with abuse-deterrent technology in the US. METHODS: Health insurance claims data were used to estimate changes in rates of diagnosed opioid abuse among continuous users of extended-release opioids (EROs) following the introduction of reformulated ER oxycodone in August 2010. This study also calculated the excess medical costs of diagnosed opioid abuse using a propensity score matching approach. These findings were integrated with published government reports and literature to extrapolate the findings to the national level. All costs were inflated to 2011 US dollars. RESULTS: The introduction of reformulated ER oxycodone was associated with relative reductions in rates of diagnosed opioid abuse of 22.7% (p < 0.001) and 18.0% (p = 0.034) among commercially-insured and Medicaid patients, respectively. There was no significant change among Medicare-eligible patients. The excess annual per-patient medical costs associated with diagnosed opioid abuse were $9456 (p < 0.001), $10,046 (p < 0.001), and $11,501 (p < 0.001) for commercially-insured, Medicare-eligible, and Medicaid patients, respectively. Overall, reformulated ER oxycodone was associated with annual medical cost savings of ∼$430 million in the US. LIMITATIONS: Because of the observational research design of this study, caution is warranted in any causal interpretation of the findings. Portions of the study relied on prior literature, government reports, and assumptions to extrapolate the national medical cost savings. CONCLUSIONS: This study provides evidence that reformulated ER oxycodone has been associated with reductions in abuse rates and substantial medical cost savings. Payers and policy-makers should consider these benefits as they devise and implement new guidelines and policies in this therapeutic area.

Brazil's conditional cash transfer program associated with declines in infant mortality rates.

Conditional cash transfer programs are innovative social safety-net programs that aim to relieve poverty. They provide a regular source of income to poor families and are "conditional" in that they require poor families to invest in the health and education of their children through greater use of educational and preventive health services. Brazil's Bolsa Família conditional cash transfer program, created in 2003, is the world's largest program of its kind. During the first five years of the program, it was associated with a significant 9.3 percent reduction in overall infant mortality rates, with greater declines in postneonatal mortality rates than in mortality rates at an earlier age and in municipalities with many users of Brazil's Family Health Program than in those with lower use rates. There were also larger effects in municipalities with higher infant mortality rates at baseline. Programs like Bolsa Família can improve child health and reduce long-standing health inequalities. Policy makers should review the adequacy of basic health services to ensure that the services can respond to the increased demand created by such programs. Programs should also target vulnerable groups at greatest risk and include careful monitoring and evaluation.