Jennifer Brennan Braden

Trends in use of opioids for non-cancer pain conditions 2000-2005 in commercial and Medicaid insurance plans: The TROUP Study

&NA; Opioids are widely prescribed for non‐cancer pain conditions (NCPC), but there have been no large observational studies in actual clinical practice assessing patterns of opioid use over extended periods of time. The TROUP (Trends and Risks of Opioid Use for Pain) study reports on trends in opioid therapy for NCPC in two disparate populations, one national and commercially insured population (HealthCore plan data) and one state‐based and publicly‐insured (Arkansas Medicaid) population over a six year period (2000–2005). We track enrollees with the four most common NCPC conditions: arthritis/joint pain, back pain, neck pain, headaches, as well as HIV/AIDS. Rates of NCPC diagnosis and opioid use increased linearly during this period in both groups, with the Medicaid group starting at higher rates and the HealthCore group increasing more rapidly. The proportion of enrollees receiving NCPC diagnoses increased (HealthCore 33%, Medicaid 9%), as did the proportion of enrollees with NCPC diagnoses who received opioids (HealthCore 58%, Medicaid 29%). Cumulative yearly opioid dose (in mg. morphine equivalents) received by NCPC patients treated with opioids increased (HealthCore 38%, Medicaid 37%) due to increases in number of days supplied rather than dose per day supplied. Use of short‐acting Drug Enforcement Administration Schedule II opioids increased most rapidly, both in proportion of NCPC patients treated (HealthCore 54%, Medicaid 38%) and in cumulative yearly dose (HealthCore 95%, Medicaid 191%). These trends have occurred without any significant change in the underlying population prevalence of NCPC or new evidence of the efficacy of long‐term opioid therapy and thus likely represent a broad‐based shift in opioid treatment philosophy.

Risks for opioid abuse and dependence among recipients of chronic opioid therapy: Results from the TROUP Study

OBJECTIVE To estimate the prevalence of and risk factors for opioid abuse/dependence in long-term users of opioids for chronic pain, including risk factors for opioid abuse/dependence that can potentially be modified to decrease the likelihood of opioid abuse/dependence, and non-modifiable risk factors for opioid abuse/dependence that may be useful for risk stratification when considering prescribing opioids. METHODS We used claims data from two disparate populations, one national, commercially insured population (HealthCore) and one state-based, publicly insured (Arkansas Medicaid). Among users of chronic opioid therapy, we regressed claims-based diagnoses of opioid abuse/dependence on patient characteristics, including physical health, mental health and substance abuse diagnoses, sociodemographic factors, and pharmacological risk factors. RESULTS Among users of chronic opioid therapy, 3% of both the HealthCore and Arkansas Medicaid samples had a claims-based opioid abuse/dependence diagnosis. There was a strong inverse relationship between age and a diagnosis of opioid abuse/dependence. Mental health and substance use disorders were associated with an increased risk of opioid abuse/dependence. Effects of substance use disorders were especially strong, although mental health disorders were more common. Concerning opioid exposure; lower days supply, lower average doses, and use of Schedule III-IV opioids only, were all associated with lower likelihood of a diagnosis of opioid abuse/dependence. CONCLUSION Opioid abuse and dependence are diagnosed in a small minority of patients receiving chronic opioid therapy, but this may under-estimate actual misuse. Characteristics of the patients and of the opioid therapy itself are associated with the risk of abuse and dependence.

Risks for possible and probable opioid misuse among recipients of chronic opioid therapy in commercial and medicaid insurance plans: The TROUP Study.

&NA; The use of chronic opioid therapy (COT) for chronic non‐cancer pain (CNCP) has increased dramatically in the past two decades. There has also been a marked increase in the abuse of prescribed opioids and in accidental opioid overdose. Misuse of prescribed opioids may link these trends, but has thus far only been studied in small clinical samples. We therefore sought to validate an administrative indicator of opioid misuse among large samples of recipients of COT and determine the demographic, clinical, and pharmacological risks associated with possible and probable opioid misuse. A total of 21,685 enrollees in commercial insurance plans and 10,159 in Arkansas Medicaid who had at least 90 days of continuous opioid use 2000–2005 were studied for one year. Criteria were developed for possible and probable opioid misuse using administrative claims data concerning excess days supplied of short‐acting and long‐acting opioids, opioid prescribers and opioid pharmacies. We estimated possible misuse at 24% of COT recipients in the commercially insured sample and 20% in the Medicaid sample and probable misuse at 6% in commercially insured and at 3% in Medicaid. Among non‐modifiable factors, younger age, back pain, multiple pain complaints and substance abuse disorders identify patients at high risk for misuse. Among modifiable factors, treatment with high daily dose opioids (especially >120 mg MED per day) and short‐acting Schedule II opioids appears to increase the risk of misuse. The consistency of the findings across diverse patient populations and the varying levels of misuse suggest that these results will generalize broadly, but await confirmation in other studies.

Emergency department visits among recipients of chronic opioid therapy

BACKGROUND There has been an increase in overdose deaths and emergency department visits (EDVs) involving use of prescription opioids, but the association between opioid prescribing and adverse outcomes is unclear. METHODS Data were obtained from administrative claim records from Arkansas Medicaid and HealthCore commercially insured enrollees, 18 years and older, who used prescription opioids for at least 90 continuous days within a 6-month period between 2000 and 2005 and had no cancer diagnoses. Regression analysis was used to examine risk factors for EDVs and alcohol- or drug-related encounters (ADEs) in the 12 months following 90 days or more of prescribed opioids. RESULTS Headache, back pain, and preexisting substance use disorders were significantly associated with EDVs and ADEs. Mental health disorders were associated with EDVs in HealthCore enrollees and with ADEs in both samples. Opioid dose per day was not consistently associated with EDVs but doubled the risk of ADEs at morphine-equivalent doses over 120 mg/d. Use of short-acting Drug Enforcement Agency Schedule II opioids was associated with EDVs compared with use of non-Schedule II opioids alone (relative risk range, 1.09-1.74). Use of Schedule II long-acting opioids was strongly associated with ADEs (relative risk range, 1.64-4.00). CONCLUSIONS Use of Schedule II opioids, headache, back pain, and substance use disorders are associated with EDVs and ADEs among adults prescribed opioids for 90 days or more. It may be possible to increase the safety of chronic opioid therapy by minimizing the prescription of Schedule II opioids in these higher-risk recipients.

Trends in use of opioids for chronic noncancer pain among individuals with mental health and substance use disorders: the TROUP study.

ObjectivesUse of prescription opioids for chronic pain is increasing, as is abuse of these medications, though the nature of the link between these trends is unclear. These increases may be most marked in patients with mental health (MH) and substance use disorders (SUDs). We analyzed trends between 2000 and 2005 in opioid prescribing among individuals with noncancer pain conditions (NCPC), with and without MH and SUDs. MethodsSecondary data analysis of longitudinal administrative data from 2 dissimilar populations: a national, commercially insured population and Arkansas Medicaid enrollees. We examined these opioid outcomes: (1) rates of any prescription opioid use in the past year, (2) rates of chronic use of prescription opioids (greater than 90 d in the past year), (3) mean days supply of opioids, (4) mean daily opioid dose in morphine equivalents, and (5) percentage of total opioid dose that was Schedule II opioids. ResultsIn 2000, among individuals with NCPC, chronic opioid use was more common among those with a MH or SUD than among those without in commercially insured (8% vs. 3%, P<0.001) and Arkansas Medicaid (20% vs. 13%, P<0.001) populations. Between 2000 and 2005, in commercially insured, rates of chronic opioid use increased by 34.9% among individuals with an MH or SUD and 27.8% among individuals without these disorders. In Arkansas Medicaid chronic, opioid use increased by 55.4% among individuals with an MH or SUD and 39.8% among those without. DiscussionChronic use of prescription opioids for NCPC is much higher and growing faster in patients with MH and SUDs than in those without these diagnoses. Clinicians should monitor the use of prescription opioids in these vulnerable groups to determine whether opioids are substituting for or interfering with appropriate MH and substance abuse treatment.

Trends in long-term opioid therapy for noncancer pain among persons with a history of depression

OBJECTIVE We report trends in long-term opioid use among patients with a history of depression from two large health plans. METHODS Using claims data, age- and gender-adjusted rates for long-term (>90 days) opioid use episodes were calculated for 1997-2005, comparing those with and without a depression diagnosis in the prior 2 years. Opioid use characteristics were calculated for those with a long-term episode in 2005. RESULTS Incident and prevalent long-term opioid use rates were three times higher in those with a history of depression. Prevalent long-term use per 1000 in patients with a history of depression increased from 69.8 to 125.9 at Group Health and from 84.3 to 117.5 at Kaiser Permanente of Northern California between 1997 and 2005. Those with a history of depression were more likely to receive a higher average daily dose, greater days supply, and Schedule II opioids than nondepressed persons. CONCLUSION Persons with a history of depression are more likely to receive long-term opioid therapy for noncancer pain than those without a history of depression. Results suggest that long-term opioid therapy for noncancer pain is being prescribed to a different population in clinical practice than the clinical trial populations where opioid efficacy has been established.

The Role of Opioid Prescription in Incident Opioid Abuse and Dependence Among Individuals with Chronic Non-Cancer Pain: The Role of Opioid Prescription

Objective:Increasing rates of opioid use disorders (OUDs) (abuse and dependence) among patients prescribed opioids are a significant public health concern. We investigated the association between exposure to prescription opioids and incident OUDs among individuals with a new episode of a chronic noncancer pain (CNCP) condition. Methods:We utilized claims data from the HealthCore Database for 2000 to 2005. The dataset included all individuals aged 18 and over with a new CNCP episode (no diagnosis in the prior 6 mo), and no opioid use or OUD in the prior 6 months (n=568,640). We constructed a single multinomial variable describing prescription on opioid days supply (none, acute, and chronic) and average daily dose (none, low dose, medium dose, and high dose), and examined the association between this variable and an incident OUD diagnosis. Results:Patients with CNCP prescribed opioids had significantly higher rates of OUDs compared with those not prescribed opioids. Effects varied by average daily dose and days supply: low dose, acute (odds ratio [OR]=3.03; 95% confidence interval [CI], 2.32, 3.95); low dose, chronic (OR=14.92; 95% CI, 10.38, 21.46); medium dose, acute (OR=2.80; 95% CI, 2.12, 3.71); medium dose, chronic (OR=28.69; 95% CI, 20.02, 41.13); high dose, acute (OR=3.10; 95% CI, 1.67, 5.77); and high dose, chronic (OR=122.45; 95% CI, 72.79, 205.99). Conclusions:Among individuals with a new CNCP episode, prescription opioid exposure was a strong risk factor for incident OUDs; magnitudes of effects were large. Duration of opioid therapy was more important than daily dose in determining OUD risk.

An Analysis of Heavy Utilizers of Opioids for Chronic Noncancer Pain in the TROUP Study

CONTEXT Although opioids are increasingly used for chronic noncancer pain (CNCP), we know little about opioid dosing patterns among individuals with CNCP in usual care settings, and how these are changing over time. OBJECTIVES To investigate the distribution of mean daily dose and mean days supply among patients with CNCP in two disparate populations, one national and commercially insured population (HealthCore) and one state based and publicly insured (Arkansas Medicaid), for years 2000 and 2005. METHODS For individuals with any opioid use, we calculated the distribution of mean daily dose (in milligram morphine equivalents), mean days supply in a year, mean annual dose, and patient characteristics associated with heavy utilizers of opioids. RESULTS Between 2000 and 2005, across all percentiles, there was little change in the mean daily opioid dose. In HealthCore, mean days supply increased most rapidly at the top end of the days supply distribution, whereas in Arkansas Medicaid, the greatest increases were near the median of days supply. In HealthCore, the top 5% of users accounted for 70% of total use (measured in milligram morphine equivalents), and the top 5% of Arkansas Medicaid users accounted for 48% of total use. The likelihood of heavy opioid utilization was increased among individuals with multiple pain conditions, and in HealthCore, among those with mental health and substance use disorders. CONCLUSION Opioid use is heavily concentrated among a small percent of patients. The characteristics of these high utilizers need to be further established, and the benefits and risks of their treatment evaluated.

Age and Sex Trends in Long-term Opioid Use in Two Large American Health Systems Between 2000 and 2005

OBJECTIVE To estimate recent age- and sex-specific changes in long-term opioid prescription among patients with chronic pain in two large American Health Systems. DESIGN Analysis of administrative pharmacy data to calculate changes in prevalence of long-term opioid prescription (90 days or more during a calendar year) from 2000 to 2005, within groups based on sex and age (18-44, 45-64, and 65 years and older). Separate analyses were conducted for patients with and without a diagnosis of a mood disorder or anxiety disorder. Changes in mean dose between 2000 and 2005 were estimated, as were changes in the rate of prescription for different opioid types (short-acting, long-acting, and non-Schedule 2). PATIENTS Enrollees in HealthCore (N = 2,716,163 in 2000) and Arkansas Medicaid (N = 115,914 in 2000). RESULTS Within each of the age and sex groups, less than 10% of patients with a chronic pain diagnosis in HealthCore, and less than 33% in Arkansas Medicaid, received long-term opioid prescriptions. All age, sex, and anxiety/depression groups showed similar and statistically significant increases in long-term opioid prescription between 2000 and 2005 (35-50% increase). Per-patient daily doses did not increase. CONCLUSIONS No one group showed especially large increases in long-term opioid prescriptions between 2000 and 2005. These results argue against a recent epidemic of opioid prescribing. These trends may result from increased attention to pain in clinical settings, policy or economic changes, or provider and patient openness to opioid therapy. The risks and benefits to patients of these changes are not yet established.

Predictors of Change in Pain and Physical Functioning among Post-Menopausal Women with Recurrent Pain Conditions in the Women’s Health Initiative Observational Cohort

UNLABELLED Pain complaints are commonly reported symptoms among postmenopausal women and can have significant effects on health-related quality of life. We sought to identify medical and psychosocial factors that predict changes in pain and overall physical functioning over a 3-year period among postmenopausal women with recurrent pain conditions. We examined data from postmenopausal women age 50 to 79 with recurrent pain conditions (low back pain, neck pain, headache or migraines, or joint pain or stiffness) over a 3-year period using the Womens Health Initiative Observational Study Cohort (N = 67,963). Multinomial logistic regression models controlling for demographic and clinical characteristics were used to identify baseline predictors of change in the SF-36 subscales for pain and physical functioning between baseline and 3-year follow-up. Body mass index (BMI) was associated with worsening of pain (OR [95% CI] 1.54 [1.45-1.63] for BMI ≥30) and physical functioning (1.83 [1.71-1.95] for BMI ≥30). A higher reported number of nonpain symptoms, higher medical comorbidity, and a positive screen for depression (1.13 [1.05-1.22] for worsened pain) were also associated with worsening of pain and physical functioning. Baseline prescription opioid use was also associated with lack of improvement in pain (OR .42, 95% CI .36-.49) and with worsened physical functioning (1.25 [1.04-1.51]). PERSPECTIVE This study presents prospective data on change in pain and physical functioning in postmenopausal women over a 3-year period. Our results suggest depression, nonpain physical symptoms, obesity, and possibly opioid treatment are associated with worse long-term pain outcomes in this population.