Dataset Information

Opioid Prescriptions in Older Medicare Beneficiaries After the 2014 Federal Rescheduling of Hydrocodone Products.

ABSTRACT: OBJECTIVES:To examine how an October 2014 Drug Enforcement Administration policy reclassified hydrocodone product from schedule III to II has affected older adults, who are among the largest consumers of prescription opioids in the United States. DESIGN:Retrospective cohort study. SETTING:United States. PARTICIPANTS:A 20% sample of Medicare Part D beneficiaries aged 65 and older from 2013 through 2015 (> 2,500,000 beneficiaries each year) MEASUREMENTS: From January 2013 to December 2015, we calculated the monthly prevalence of opioid prescriptions and the prevalence of individuals who received prescriptions for a 90-day supply or longer (prolonged), as well as hospitalizations related to opioid toxicity in 2013 and 2015. RESULTS:From 2013 to 2015, the proportion of Medicare Part D enrollees who received a hydrocodone prescription in a year decreased from 21.9% to 18.3%. Monthly rates for hydrocodone prescriptions declined significantly in 2014. The risk of receiving prolonged opioid prescriptions decreased by approximately 7% in the multivariable analyses comparing 2015 to 2013 (prevalence ratio=0.93, 95% confidence interval (CI)=0.93-0.94). Medicare enrollees with an original entitlement because of disability or with Medicaid eligibility had smaller decreases in prolonged prescriptions and, unexpectedly, small increases in high-dose prescriptions. Opioid-related hospitalizations did not change significantly, but opioid-related hospitalizations without a documented opioid prescription increased (odds ratio=1.24, 95% CI=1.03-1.50). CONCLUSION:The 2014 change in hydrocodone from schedule III to schedule II was associated with modest decreases in rates of opioid use in the elderly. The unexpected increase in opioid-related hospitalizations without documented opioid prescriptions may represent an increase in illegal use.

SUBMITTER: Kuo YF

PROVIDER: S-EPMC5992099 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Opioid Prescriptions in Older Medicare Beneficiaries After the 2014 Federal Rescheduling of Hydrocodone Products.

Kuo Yong-Fang YF Raji Mukaila A MA Liaw Victor V Baillargeon Jacques J Goodwin James S JS

Journal of the American Geriatrics Society 20180414 5

<h4>Objectives</h4>To examine how an October 2014 Drug Enforcement Administration policy reclassified hydrocodone product from schedule III to II has affected older adults, who are among the largest consumers of prescription opioids in the United States.<h4>Design</h4>Retrospective cohort study.<h4>Setting</h4>United States.<h4>Participants</h4>A 20% sample of Medicare Part D beneficiaries aged 65 and older from 2013 through 2015 (> 2,500,000 beneficiaries each year) MEASUREMENTS: From January 2 ...[more]

PMID: 29656382

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Project description:BackgroundIn 2014, the U.S. Drug Enforcement Agency reclassified hydrocodone from Schedule III to Schedule II of the Controlled Substances Act, resulting in new restrictions on refills. The authors hypothesized that hydrocodone rescheduling led to decreases in total opioid dispensing within 30 days of surgery and reduced new long-term opioid dispensing among surgical patients.MethodsThe authors studied privately insured, opioid-naïve adults undergoing 10 general or orthopedic surgeries between 2011 and 2015. The authors conducted a differences-in-differences analysis that compared overall opioid dispensing before versus after the rescheduling rule for patients treated by surgeons who frequently prescribed hydrocodone before rescheduling (i.e., patients who were functionally exposed to rescheduling's impact) while adjusting for secular trends via a comparison group of patients treated by surgeons who rarely prescribed hydrocodone (i.e., unexposed patients). The primary outcome was any filled opioid prescription between 90 and 180 days after surgery; secondary outcomes included the 30-day refill rate and the amount of opioids dispensed initially and at 30 days postoperatively.ResultsThe sample included 65,136 patients. The percentage of patients filling a prescription beyond 90 days was similar after versus before rescheduling (absolute risk difference, -1.1%; 95% CI, -2.3% to 0.1%; P = 0.084). The authors estimated the rescheduling rule to be associated with a 45.4-mg oral morphine equivalent increase (difference-in-differences estimate; 95% CI, 34.2-56.7 mg; P < 0.001) in initial opioid dispensing, a 4.1% absolute decrease (95% CI, -5.5% to -2.7%; P < 0.001) in refills within 30 days, and a 37.7-mg oral morphine equivalent increase (95% CI, 20.6-54.8 mg; P = 0.008) in opioids dispensed within 30 days.ConclusionsAmong patients treated by surgeons who frequently prescribed hydrocodone before the Drug Enforcement Agency 2014 hydrocodone rescheduling rule, rescheduling did not impact long-term opioid receipt, although it was associated with an increase in opioid dispensing within 30 days of surgery.

Project description:ImportanceCurrent approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk.ObjectiveTo develop and validate a machine-learning algorithm to predict opioid overdose risk among Medicare beneficiaries with at least 1 opioid prescription.Design, setting, and participantsA prognostic study was conducted between September 1, 2017, and December 31, 2018. Participants (n = 560 057) included fee-for-service Medicare beneficiaries without cancer who filled 1 or more opioid prescriptions from January 1, 2011, to December 31, 2015. Beneficiaries were randomly and equally divided into training, testing, and validation samples.ExposuresPotential predictors (n = 268), including sociodemographics, health status, patterns of opioid use, and practitioner-level and regional-level factors, were measured in 3-month windows, starting 3 months before initiating opioids until loss of follow-up or the end of observation.Main outcomes and measuresOpioid overdose episodes from inpatient and emergency department claims were identified. Multivariate logistic regression (MLR), least absolute shrinkage and selection operator-type regression (LASSO), random forest (RF), gradient boosting machine (GBM), and deep neural network (DNN) were applied to predict overdose risk in the subsequent 3 months after initiation of treatment with prescription opioids. Prediction performance was assessed using the C statistic and other metrics (eg, sensitivity, specificity, and number needed to evaluate [NNE] to identify one overdose). The Youden index was used to identify the optimized threshold of predicted score that balanced sensitivity and specificity.ResultsBeneficiaries in the training (n = 186 686), testing (n = 186 685), and validation (n = 186 686) samples had similar characteristics (mean [SD] age of 68.0 [14.5] years, and approximately 63% were female, 82% were white, 35% had disabilities, 41% were dual eligible, and 0.60% had at least 1 overdose episode). In the validation sample, the DNN (C statistic = 0.91; 95% CI, 0.88-0.93) and GBM (C statistic = 0.90; 95% CI, 0.87-0.94) algorithms outperformed the LASSO (C statistic = 0.84; 95% CI, 0.80-0.89), RF (C statistic = 0.80; 95% CI, 0.75-0.84), and MLR (C statistic = 0.75; 95% CI, 0.69-0.80) methods for predicting opioid overdose. At the optimized sensitivity and specificity, DNN had a sensitivity of 92.3%, specificity of 75.7%, NNE of 542, positive predictive value of 0.18%, and negative predictive value of 99.9%. The DNN classified patients into low-risk (76.2% [142 180] of the cohort), medium-risk (18.6% [34 579] of the cohort), and high-risk (5.2% [9747] of the cohort) subgroups, with only 1 in 10 000 in the low-risk subgroup having an overdose episode. More than 90% of overdose episodes occurred in the high-risk and medium-risk subgroups, although positive predictive values were low, given the rare overdose outcome.Conclusions and relevanceMachine-learning algorithms appear to perform well for risk prediction and stratification of opioid overdose, especially in identifying low-risk subgroups that have minimal risk of overdose.

Project description:Importance:In 2014, the US Drug Enforcement Administration moved hydrocodone-containing analgesics from schedule III to the more restrictive schedule II to limit prescribing and decrease nonmedical opioid use. The association of this policy change with postoperative prescribing is not well understood. Objective:To examine the hypothesis that the amount of opioids prescribed following surgery is associated with the rescheduling of hydrocodone. Design, Setting, and Participants:An interrupted time series analysis of outpatient opioid prescriptions was conducted to examine the trends in the amount of postoperative opioids filled before and after the schedule change. Opioid prescriptions filled between January 2012 and October 2015 were analyzed using insurance claims data from the Michigan Value Collaborative, which includes data from 75 hospitals across Michigan. A total of 21 955 adult inpatients 18 to 64 years of age who underwent 1 of 19 common elective surgical procedures and filled an opioid prescription within 14 days of discharge to home were eligible for inclusion. Main Outcomes and Measures:The primary outcome was the trends in the mean amount of opioids filled in oral morphine equivalents (OMEs) for the initial postoperative prescriptions before and after the schedule change date of October 6, 2014, compared using interrupted time series and multivariable regression analyses. Secondary outcomes included the total amount of opioids filled and the refill rate for the 30-day postoperative period. Subgroup analyses were performed by hydrocodone prescriptions, nonhydrocodone prescriptions, surgical procedure, and prior opioid use. Results:Data from 21 955 patients undergoing surgical procedures across 75 hospitals and 5120 prescribers were analyzed. Cohorts before and after the schedule change were equivalent with respect to sex (10 197 of 15 791 [64.6%] vs 3966 of 6169 [64.3%] female; P = .69) and mean (SE) age (47.9 [11.2] vs 47.7 [11.3] years; P = .19). After the schedule change, the mean OMEs filled in the initial opioid prescription increased by approximately 35 OMEs (β = 35.1 [13.2]; P < .01), equivalent to 7 tablets of hydrocodone (5 mg). There were no significant differences in the total OMEs filled during the 30-day postoperative period before and after the schedule change (β = 18.3 [30.5]; P = .55), but there was a significant decrease in the refill rate (β = -5.2% [1.3%]; P < .001). Conclusions and Relevance:Changing hydrocodone from schedule III to schedule II was associated with an increase in the amount of opioids filled in the initial prescription following surgery. Opioid-related policies require close follow-up to identify and address early unintended effects given the multitude of competing factors that influence health care professional prescribing behaviors.

Project description:BackgroundGiven concerns about suboptimal pain management for actively treated cancer patients following the 2014 federal reclassification of hydrocodone, we examined changes in patterns of opioid prescribing among surgical breast cancer patients.Materials and methodsData from a large nationally representative commercial health insurance program from 2009 to 2017 were used to identify women aged 18 years and older who were diagnosed with carcinoma in-situ or malignant breast cancer and received breast-conserving surgery or mastectomy from 2010 to 2016. Generalized linear mixed models were used to estimate the adjusted odds ratio (aOR) for receipt of ≥1-day, >30-day, or ≥ 90-day supply of opioids in the 12 months following surgery adjusting for demographics, cancer treatment-related characteristics, and preoperative opioid use.ResultsA total of 60,080 patients were included in the study. Surgically treated breast cancer patients in 2015 (aOR = 0.90, 0.84-0.97) and 2016 (aOR = 0.80, 0.74-0.86) were less likely to receive ≥1-day supply of opioid prescriptions when compared with patients in 2013. Patients who had surgery in 2015 (aOR = 0.89, 0.81-0.98) and 2016 (aOR = 0.80, 0.73-0.87) were also less likely to receive >30-day supply of prescription opioids in the 12 months following surgery. However, only surgical breast cancer patients in 2016 were less likely to receive ≥90-day supply (aOR = 0.86, 0.76-0.98).ConclusionSurgically treated breast cancer patients are less likely to receive short- and long-term opioid prescriptions following the implementation of hydrocodone rescheduling. Further studies on the potential impact of federal policy on cancer patient pain management are needed.Implications for practiceClinicians and researchers with diverse perspectives should be included as stakeholders during policy development for restricting opioid prescriptions. Stakeholders can identify potential unintended consequences early and help identify methods to mitigate concerns, specifically as it relates to policy that influences how providers manage pain for actively treated cancer patients. This work shows how federal policy may have led to declines in opioid prescribing for breast cancer patients who underwent mastectomy or breast-conserving surgery.

Project description:INTRODUCTION:Millions of Americans are affected by acute or chronic pain every year. This study investigates opioid prescription patterns for acute and chronic pain management among U.S. Medicaid patients. METHODS:The study used medical and pharmacy claims data obtained from the multistate Truven MarketScan Medicaid Database from 2013 to 2015 for Medicaid patients receiving health care. Medicaid beneficiaries who utilized an outpatient healthcare facility for back pain, neck pain (cervicalgia), joint pain (osteoarthritis and rheumatoid arthritis), orthopedics (simple/closed fractures and muscle strains/sprains), headache (cluster headaches and migraines), dental conditions, or otorhinolaryngologic (otalgia) diagnoses, based on the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes, and received an opioid prescription within 14 days of diagnosis were included in this study. RESULTS:There were 5,051,288 patients with 1 of the 7 diagnostic groupings; 18.8% had an opioid prescription filled within 14 days of diagnosis. Orthopedic pain (34.8%) was the primary reason for an opioid prescription, followed by dental conditions (17.3%), back pain (14.0%), and headache (12.9%). Patients receiving an opioid for conditions associated with acute pain management, such as otorhinolaryngologic (OR=1.93, 95% CI=1.85, 2.0), dental (OR=1.50, 95% CI=1.48, 1.53), or orthopedic conditions (OR=1.31, 95% CI=1.29, 1.32), were more likely to receive the prescription from an emergency department provider versus a general practitioner. However, compared with general practitioners, other providers were more likely to prescribe opioids for conditions associated with chronic pain management. CONCLUSIONS:More than half of Medicaid beneficiaries receiving an opioid for pain management do so for orthopedic- and dental-related reasons, with emergency department providers more likely to prescribe opioids. Modifications to the guidelines addressing temporary acute pain management practices with opioids would be likely to benefit emergency department providers the most.

Dataset Information

Opioid Prescriptions in Older Medicare Beneficiaries After the 2014 Federal Rescheduling of Hydrocodone Products.

Publications

Opioid Prescriptions in Older Medicare Beneficiaries After the 2014 Federal Rescheduling of Hydrocodone Products.

Similar Datasets

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