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Opioid analgesic and benzodiazepine prescribing among Medicaid-enrollees with opioid use disorders: The influence of provider communities.

ABSTRACT: Opioid analgesic and benzodiazepine use in individuals with opioid use disorders can increase the risk for medical consequences and relapse. Little is known about rates of use of these medications or prescribing patterns among communities of prescribers. The goal of this study was to examine rates of prescribing to Medicaid-enrollees in the calendar year after an opioid use disorder diagnosis, and to examine individual, county, and provider community factors associated with such prescribing. 2008 Medicaid claims data were used from 12 states to identify enrollees diagnosed with opioid use disorders, and 2009 claims data were used to identify rates of prescribing of each drug. Social network analysis was used to identify provider communities, and multivariate regression analyses was used to to identify patient, county, and provider community level factors associated with prescribing these drugs. The authors also examined variation in rates of prescribing across provider communities. Among Medicaid-enrollees identified with an opioid use disorder, 45% filled a prescription for an opioid analgesic, 37% filled a prescription for a benzodiazepine, and 21% filled a prescription for both in the year following their diagnosis. Females, older individuals, individuals with pain syndromes, and individuals residing in counties with higher rates of poverty were more likely to fill prescriptions. Prescribing rates varied substantially across provider communities, with rates in the highest quartile of prescribing communities over 2.5 times the rates in the lowest prescribing communities. Prescribing opioid analgesics and benzodiazepines to individuals diagnosed with opioid use disorders may increase risk of relapse and overdose. Interventions should be considered that target provider communities with the highest rates of prescribing and individuals at the highest risk.

SUBMITTER: Stein BD

PROVIDER: S-EPMC5366980 | biostudies-literature | 2017 Jan-Mar

REPOSITORIES: biostudies-literature

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Opioid analgesic and benzodiazepine prescribing among Medicaid-enrollees with opioid use disorders: The influence of provider communities.

Stein Bradley D BD Mendelsohn Joshua J Gordon Adam J AJ Dick Andrew W AW Burns Rachel M RM Sorbero Mark M Shih Regina A RA Liccardo Pacula Rosalie R

Journal of addictive diseases 20160722 1

Opioid analgesic and benzodiazepine use in individuals with opioid use disorders can increase the risk for medical consequences and relapse. Little is known about rates of use of these medications or prescribing patterns among communities of prescribers. The goal of this study was to examine rates of prescribing to Medicaid-enrollees in the calendar year after an opioid use disorder diagnosis, and to examine individual, county, and provider community factors associated with such prescribing. 200 ...[more]

PMID: 27449904

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Project description:BackgroundIn the past two decades, the U.S. saw an alarmingly increasing trend of benzodiazepine prescribing. Mandatory use of Prescription Drug Monitoring Programs (PDMPs) was suggested to have the potential to reduce opioid prescribing, but little is known about its impacts on benzodiazepines. This study examined whether PDMP data use mandates were associated with changes in benzodiazepine prescribing in the U.S. Methods: Aggregate state quarterly prescription drug records of benzodiazepines for Medicaid enrollees during 2010-2017 were obtained from the U.S. Medicaid State Drug Utilization Data. Three population-adjusted outcome variables were evaluated, including quantity, dosage, and Medicaid spending of benzodiazepine prescriptions per quarter per 100 Medicaid enrollees. The primary policy variable was the state-wide implementation of PDMP data use mandates for benzodiazepines. To account for between-state variations in mandates, an additional policy variable was considered to indicate strong mandates on PDMP data use, which required all prescribers to query a patient's PDMP records for first prescribing and subsequent prescribing at least every 12 months. Linear regressions with difference-in-difference approach were used to assess the associations between PDMP data use mandates and benzodiazepine prescribing, controlling for state-level time-varying policy and socioeconomic covariates. Results: The state-wide implementation of PDMP data use mandates for benzodiazepines was not associated with quantity, dosage, or Medicaid spending of benzodiazepine prescriptions. Strong mandates on PDMP data use were not associated with any benzodiazepine prescribing outcomes, either. Conclusions: There was no evidence for the associations between PDMP data use mandates for benzodiazepines and changes in benzodiazepine prescribing among Medicaid enrollees. Future research is warranted to replicate the study in other populations using individual patient records and continuously monitor the trends in benzodiazepine prescribing in association with PDMPs.

Project description:BackgroundSeveral US states have introduced legislation to support the legitimate medical use of opioids while limiting misuse and diversion. One concern which has been addressed through legislation is preventing individuals from seeking opioid prescriptions concurrently from multiple providers. However, the impact of this legislation on the incidence of patients receiving concurrent prescriptions remains relatively unexplored. This study examines this phenomenon based on claims data from Medicaid enrollees and the enactment of legislation in Indiana.MethodsIndiana Medicaid claims data over the period of January 2014 to December 2019 were used to determine the changes in the percentage of individuals receiving opioid prescriptions from multiple providers within a 30-day period, that is, concurrent opioid prescription (COP) individuals. Indiana Medicaid enrollees with a diagnosis of opioid use disorder (OUD) receiving opioid prescriptions, that is, the OUD-group, were identified and separated from the enrollees without a diagnosis but receiving opioid prescriptions, that is, the non-OUD group. The mean percentages of COP individuals (with or without an OUD diagnosis) within the subset of individuals that received opioid prescriptions were compared before and after the passage of Indiana Public Law 194.ResultsThere were 5336 who met the criteria of COP individuals, and 2050 of those were in the OUD-group. In either group, there was a significant difference in the change in percentages (slope) before and after Indiana Public Law 194 passed. In addition, there was a significant decrease in the mean percentage of COP individuals in the non-OUD group, while the difference was not significant in the OUD group.ConclusionOur study suggests that Indiana Public Law 194 had a positive impact on curbing COP. This study is limited by the level of details available from claims data and suggests additional studies to evaluate prescription use and prescribing practices are warranted.

Project description:BackgroundThe Pharmacy Quality Alliance (PQA) recently developed 3 quality measures for prescribing opioids: high dosages, multiple providers and pharmacies, and concurrent use of opioids and benzodiazepines.ObjectiveTo examine the prevalence of the PQA measures and identify the patient demographic and health characteristics associated with the measures.MethodsWe conducted a cross-sectional analysis using Pennsylvania Medicaid data (2013-2015). We limited our analyses to noncancer patients who were aged 18-64 years and not dual-eligible for Medicare/Medicaid. Per PQA specifications, patients were required to possess ≥ 2 opioid prescriptions for ≥ 15 days annual supply each year. Outcome measures included (a) high dosages, defined as > 120 morphine milligram equivalents for ≥ 90 consecutive days; (b) multiple providers/pharmacies, defined as receiving opioid prescriptions from ≥ 4 providers and ≥ 4 pharmacies; and (c) concurrent use of opioids and benzodiazepines, defined as ≥ 30 cumulative days of overlapping opioids and benzodiazepines among individuals having ≥ 2 opioid and ≥ 2 benzodiazepine fills. Patient characteristics assessed included demographics; other medication use; and physical, mental, and behavioral health comorbidities. We present descriptive and multivariable statistical analyses of the data to describe trends in quality measure prevalence and associations with enrollee health characteristics.ResultsNumbers of enrollees meeting inclusion criteria ranged from 73,082 in 2013 to 85,710 in 2015. From 2013 to 2015, high dosage prevalence increased from 5.1% to 5.5%; the use of multiple providers/pharmacies decreased from 7.1% to 5.0%; and concurrent use of opioids and benzodiazepines decreased from 29.1% to 28.4% (all P < 0.05). A substantial portion of patients with > 1 PQA measure from 2013 to 2015 was eligible for Medicaid because of disability (41.8%-81.9%). Enrollees with opioid use disorder were more likely to have high dosages (adjusted odds ratio [AOR] = 2.01, 95% CI = 1.83-2.21). Enrollees with anxiety and mood disorders were more likely to have multiple providers/pharmacies (anxiety: AOR = 1.54, 95% CI = 1.43-1.65; mood: AOR = 1.15, 95% CI = 1.06-1.25) and concurrent use of opioids and benzodiazepines (anxiety: AOR = 3.50, 95% CI = 3.38-3.63; mood: AOR = 1.42, 95% CI = 1.36-1.48).ConclusionsGiven high levels of eligibility based on disability and the prevalence of mood, anxiety, and opioid use disorders among those identified by the quality measures, providers may require additional support to care for this patient population.DisclosuresThis project was supported by a grant from the Centers for Disease Control and Prevention and was also supported by an intergovernmental agreement between the Pennsylvania Department of Human Services and the University of Pittsburgh. Lo-Ciganic was supported by the University of Arizona Health Sciences Career Development Award. The other authors have nothing to disclose. The conclusions, findings, and opinions expressed by authors contributing to this article do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the Commonwealth of Pennsylvania. A portion of these results was presented at the Association for Medical Education and Research in Substance Abuse 41st National Conference; November 2-4, 2017; Washington, DC.

Project description:INTRODUCTION:Recent U.S. trends demonstrate sharp rises in adverse opioid-related health outcomes, including opioid use disorder (OUD), overdose, and death. Yet few affected people receive treatment for OUD and a minority of those who receive treatment are effectively retained in care. The purpose of this study was to examine duration of buprenorphine treatment for OUD following treatment initiation to identify risk factors for early discontinuation. METHODS:We analyzed insurance claims from the 2013-2015 MarketScan multi-state Medicaid database. The sample included adults 18-64?years old with an OUD diagnosis in the 6 months before initiating buprenorphine treatment, defined as 6 months without a buprenorphine claim prior to the index buprenorphine claim (N?=?17,329 individuals). We used Cox proportional hazards regression to estimate risk of discontinuing treatment (>30 days without buprenorphine supply), and logistic regression to estimate the odds of persistent treatment for a minimum of 180 days. RESULTS:Over one-quarter of the sample discontinued buprenorphine in the first month of treatment (N?=?4928; 28.4%) and most discontinued before 180 days (N?=?11,189; 64.6%). In the proportional hazards model, risk factors for discontinuation included a lower initial buprenorphine dose (?4?mg; Hazard Ratio [HR]?=?1.72, p?<?.001), male sex (HR?=?1.19, p?<?.001), younger age (HR?=?1.34, p?<?.001), minority race/ethnicity (black HR?=?1.31, p?<?.001; Hispanic HR?=?1.24, p?=?.01; other HR?=?1.09, p?<?.001), capitated insurance (HR?=?1.21, p?<?.001), comorbid substance use disorders (alcohol HR?=?1.07, p?=?.04; non-opioid drugs HR?=?1.14, p?<?.001), hepatitis C (HR?=?1.06, p?=?.01), opioid overdose history (HR?=?1.20, p?=?.001), or any inpatient care (HR?=?1.22, p?<?.001) in the 6-month baseline period. In logistic models, these risk factors were similarly associated with significantly lower odds of treatment retention for at least 180 days. CONCLUSION:For Medicaid beneficiaries with OUD treated with buprenorphine, there is a need to implement treatment models that more effectively address barriers to treatment retention. These barriers are particularly challenging for minorities, younger individuals, and those with additional substance use disorders.

Project description:OBJECTIVE:Benzodiazepines and opioids are prescribed simultaneously (i.e., "coprescribed") in many clinical settings, despite guidelines advising against this practice and mounting evidence that concomitant use of both medications increases overdose risk. This study sought to characterize the contexts in which benzodiazepine-opioid coprescribing occurs and providers' reasons for coprescribing. METHODS:We conducted focus groups with emergency department (ED) providers (resident and attending physicians, advanced practice providers, and pharmacists) from three hospitals using semistructured interviews to elicit perspectives on benzodiazepine-opioid coprescribing. Discussions were audio-recorded and transcribed. We performed qualitative content analysis of the resulting transcripts using a consensual qualitative research approach, aiming to identify priority categories that describe the phenomenon of benzodiazepine-opioid coprescribing. RESULTS:Participants acknowledged coprescribing rarely and reluctantly and often provided specific discharge instructions when coprescribing. The decision to coprescribe is multifactorial, often isolated to specific clinical and situational contexts (e.g., low back pain, failed solitary opioid therapy) and strongly influenced by a provider's beliefs about the efficacy of combination therapy. The decision to coprescribe is further influenced by a self-imposed pressure to escalate care or avoid hospital admission. When considering potential interventions to reduce the incidence of coprescribing, participants opposed computerized alerts but were supportive of a pharmacist-assisted intervention. Many providers found the process of participating in peer discussions on prescribing habits to be beneficial. CONCLUSIONS:In this qualitative study of ED providers, we found that benzodiazepine-opioid coprescribing occurs in specific clinical and situational contexts, such as the treatment of low back pain or failed solitary opioid therapy. The decision to coprescribe is strongly influenced by a provider's beliefs and by self-imposed pressure to escalate care or avoid admission.

Dataset Information

Opioid analgesic and benzodiazepine prescribing among Medicaid-enrollees with opioid use disorders: The influence of provider communities.

Publications

Opioid analgesic and benzodiazepine prescribing among Medicaid-enrollees with opioid use disorders: The influence of provider communities.

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