Opioid Use Patterns in a Statewide Adult Medicaid Population Undergoing Elective Lumbar Spine Surgery.

STUDY DESIGN: Retrospective administrative database review. OBJECTIVE: Analyze patterns of opioid use in patients undergoing lumbar surgery and determine associated risk factors in a Medicaid population. SUMMARY OF BACKGROUND DATA: Opioid use in patients undergoing surgery for degenerative lumbar spine conditions is prevalent and impacts outcomes. There is limited information defining the scope of this problem in Medicaid patients. MATERIALS AND METHODS: Longitudinal cohort study of adult South Carolina (SC) Medicaid patients undergoing lumbar surgery from 2014 to 2017. All patients had continuous SC Medicaid coverage for 15 consecutive months, including six months before and nine months following surgery. The primary outcome was a longitudinal assessment of postoperative opioid use to determine trajectories and group-based membership using latent modeling. Univariate and multivariable modeling was conducted to assess risk factors for group-based trajectory modeling and chronic opioid use (COU). RESULTS: A total of 1455 surgeries met inclusion criteria. Group-based trajectory model demonstrated patients fit into five groups; very low use (23.4%), rapid wean following surgery (18.8%), increasing use following surgery (12.9%), slow wean following surgery (12.6%) and sustained high use (32.2%). Variables predicting membership in high opioid use included preoperative opioid use, younger age, longer length of stay, concomitant medications, and readmissions. More than three quarter of patients were deemed COUs (76.4%). On bivariate analysis, patients with degenerative disk disease were more likely to be COUs (24.8% vs. 18.6%; P =0.0168), more likely to take opioids before surgery (88.5% vs. 61.9%; P <0.001) and received higher amounts of opioids during the 30 days following surgery (mean morphine milligram equivalents 59.6 vs. 25.1; P <0.001). CONCLUSIONS: Most SC Medicaid patients undergoing lumbar elective lumbar spine surgery were using opioids preoperatively and continued long-term use postoperatively at a higher rate than previously reported databases. Preoperative and perioperative intake, degenerative disk disease, multiple prescribers, depression, and concomitant medications were significant risk factors.

Surgical prescription opioid trajectories among state Medicaid enrollees.

OBJECTIVE: The objective of this study was to evaluate opioid use trajectories among a sample of 10,138 Medicaid patients receiving one of six index surgeries: lumbar spine, total knee arthroplasty, cholecystectomy, appendectomy, colon resection, and tonsillectomy. DESIGN: Retrospective cohort. SETTING: Administrative claims data. PATIENTS AND PARTICIPANTS: Patients, aged 13 years and older, with 15-month continuous Medicaid eligibility surrounding index surgery, were selected from single-state Medicaid medical and pharmacy claims data for surgeries performed between 2014 and 2017. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Baseline comorbidities and presurgery opioid use were assessed in the 6 months prior to admission, and patients' opioid use was followed for 9 months post-discharge. Generalized linear model with log link and Poisson distribution was used to determine risk of chronic opioid use for all risk factors. Group-based trajectory models identified groups of patients with similar opioid use trajectories over the 15-month study period. RESULTS: More than one in three (37.7 percent) patients were post-surgery chronic opioid users, defined as the dichotomous outcome of filling an opioid prescription 90 or more days after surgery. Key variables associated with chronic post-surgery opioid use include presurgery opioid use, 30-day post-surgery opioid use, and comorbidities. Latent trajectory modeling grouped patients into six distinct opioid use trajectories. Associates of trajectory group membership are reported. CONCLUSIONS: Findings support the importance of surgeons setting realistic patient expectations for post-surgical opioid use, as well as the importance of coordination of post-surgical care among patients failing to fully taper off opioids within 1-3 months of surgery.

New chronic opioid use in Medicaid patients following cholecystectomy.

Background: Commercial insurance data show that chronic opioid use in opioid-naive patients occurs in 1.5% to 8% of patients undergoing surgical procedures, but little is known about patients with Medicaid. Methods: Opioid prescription data and medical coding data from 4,788 Medicaid patients who underwent cholecystectomy were analyzed to determine opioid use patterns. Results: A total of 54.4% of patients received opioids prior to surgery, and 38.8% continued to fill opioid prescriptions chronically; 27.1% of opioid-naive patients continued to get opioids chronically. Patients who received ≥ 50 MME/d had nearly 8 times the odds of chronic opioid use. Each additional opioid prescription filled within 30 days was associated with increased odds of chronic use (odds ratio: 1.71). Conclusion: Opioid prescriptions are common prior to cholecystectomy in Medicaid patients, and 38.8% of patients continue to receive opioid prescriptions well after surgical recovery. Even 27.1% of opioid-naive patients continued to receive opioid prescriptions chronically.

Incidence and patterns of persistent opioid use in children following appendectomy.

BACKGROUND: The past 5 years have witnessed a concerted national effort to assuage the rising tide of the opioid misuse in our country. Surgical procedures often serve as the initial exposure of children to opioids, however the trajectory of use following these exposures remains unclear. We hypothesized that opioid exposure following appendectomy would increase the risk of persistent opioid use among publicly insured children. STUDY DESIGN: A retrospective longitudinal cohort study was conducted on South Carolina Medicaid enrollees who underwent appendectomy between January 2014 and December 2017 using administrative claims data. The primary outcome was chronic opioid use. Generalized linear models and finite mixture models were employed in analysis. RESULTS: 1789 Medicaid pediatric patients underwent appendectomy and met inclusion criteria. The mean age was 11.1 years and 40.6% were female. Most patients (94.6%) did not receive opioids prior to surgery. Opioid prescribing ≥90 days after surgery (chronic opioid use) occurred in 127 (7.1%) patients, of which 102 (80.3%) had no opioid use in the preexposure period. Risk factors for chronic opioid use included non-naïve opioid status, re-hospitalization more than 30 days following surgery, multiple opioid prescribers, age, and multiple antidepressants/antipsychotic prescriptions. Group-based trajectory analysis demonstrated four distinct post-surgical opioid use patterns: no opioid use (91.3%), later use (6.7%), slow wean (1.9%), and higher use throughout (0.4%). CONCLUSION: Opioid exposure after appendectomy may serve as a priming event for persistent opioid use in some children. Eighty percent of children who developed post-surgical persistent opioid use had not received opioids in the 90 days leading up to surgery. Several mutable and immutable factors were identified to target future efforts toward opioid minimization in this at-risk patient population. LEVEL OF EVIDENCE: III.

"You're on mute"-lessons learned with virtual academic detailing.

Academic detailing is a medical education outreach service that typically features in-person individualized discussion of therapeutic decisions. The onset of the coronavirus disease 2019 (COVID-19) pandemic compelled many existing academic detailing services to switch to providing their services virtually. This format switch brought opportunities and challenges to detailing programs across North America. Technology enabled programs to continue, but adaptations were necessary, including communication style changes enabling automated booking and optimizing support materials for a virtual environment. Specifically, communication decisions, including when to screen share and strategies to encourage 2-way communication must be addressed to maintain the advantage of a discussion format. As pandemic limitations resolve and academic detailing services move forward, it is important to consider advantages and challenges of virtual academic detailing and how pandemic work will inform future approaches to academic detailing that may blend in-person and virtual outreach.

High-risk opioid analgesic dispensing to adolescents 12-18 years old in South Carolina: 2010-2017.

PURPOSE: To evaluate "high-risk" opioid dispensing to adolescents, including daily morphine milligram equivalents (MME) above recommended amounts, the percentage of extended-release opioid prescriptions dispensed to opioid-naïve adolescents, and concurrent use of opioids and benzodiazepines, and to evaluate changes in those rates over time. METHODS: Retrospective cohort study of one state's prescription drug monitoring program data (2010-2017), evaluating adolescents 12-18 years old dispensed opioid analgesic prescriptions. Outcomes of interest were the quarterly frequencies of the high-risk measures. We utilized generalized linear regression to determine whether the rate of the outcomes changed over time. RESULTS: The quarterly percentage of adolescents ages 12-18 years old dispensed an opioid who received ≥90 daily MME declined from 4.1% in the first quarter (Q1) of 2010 to 3.4% in the final quarter (Q4) of 2017 (p < 0.0001). The frequency of adolescents dispensed ≥50 daily MME changed little over time. In 2010, the percentage of adolescents receiving an extended-release opioid who were opioid naïve was 60.7%, declining to 50.6% by Q4 of 2017 (p > 0.10 overall change 2010-2017). The percentage of adolescent opioid days overlapping with benzodiazepine days was 1.6% in Q1 of 2010, declining to 1.1% by Q4 of 2017 (p < 0.001). CONCLUSIONS: Among persons 12-18 years old dispensed an opioid analgesic, receipt of ≥90 daily MME declined during the years 2010-2017, as did the percentage of adolescent opioid days that overlapped with benzodiazepines. More than half of the individuals who received extended-release opioid analgesics were identified as opioid naïve and, counter to guidelines, received products intended for opioid-tolerant individuals.

Academic detailing increases prescription drug monitoring program use among primary care practices.

OBJECTIVE: Clinical review of a prescription drug monitoring program (PDMP) is considered a valuable tool for opioid prescribing risk mitigation; however, PDMP use is often low, even in states with mandatory registration and use policies. The objective was to evaluate the impact of an academic detailing (AD) outreach intervention on PDMP use among primary care prescribers. METHODS: AD intervention was delivered to primary care based controlled substance prescribers (N = 87) and their associated PDMP delegates (n = 42) by a clinical pharmacist as 1 component of a large-scale, statewide initiative to improve opioid prescribing safety. Prescriber PDMP use behavior was assessed by prescriber self-report and analysis of objective 2016-2018 PDMP data regarding the number of monthly report requests. We compared means between pre- and postintervention using a paired t test and plotted the monthly average reports over time to assess the trend of mean reports over time. Generalized linear mixed model with a negative binomial distribution was used to assess the difference in the trend and magnitude of the combined count of reports for the entire sample and prescriber subsets that were segmented on the basis of the adoption status of PDMP. RESULTS: The monthly mean of reports by combined prescribers and delegates significantly increased after the AD intervention (mean 28.1 pre vs. 53.0 post; P < 0.001), with the increase in delegate reports (mean 17.1 pre vs. 60.0 post; P < 0.001) driving the overall increase. Reports were requested 40.4 times more often than in the preintervention period (P < 0.001). Patterns of pre- to postchanges in mean monthly report requests differed by baseline PDMP adoption status. CONCLUSION: The AD intervention was transformative in facilitating practice change to use delegates to run reports. Visits with both prescribers and delegates, including hands-on PDMP training and registration assistance, can be viewed as beneficial for practice facilitation.

Trends in Dispensed Opioid Analgesic Prescriptions to Children in South Carolina: 2010-2017.

BACKGROUND AND OBJECTIVES: Despite published declines in opioid prescribing and dispensing to children in the past decade, in few studies have researchers evaluated all children in 1 state or examined changes in mean daily opioid dispensed. In this study, we evaluated changes in the rate of dispensed opioid analgesics and the mean daily opioid dispensed to persons 0 to 18 years old in 1 state over an 8-year period. METHODS: We identified opioid analgesics dispensed to children 0 to 18 years old between 2010 and 2017 using South Carolina prescription drug monitoring program data. We used generalized linear regression analyses to examine changes over time in the following: (1) rate of dispensed opioid prescriptions and (2) mean daily morphine milligram equivalents (MMEs) per prescription. RESULTS: From the first quarter of 2010 to the end of the fourth quarter of 2017, the quarterly rate of opioids dispensed decreased from 18.68 prescriptions per 1000 state residents to 12.03 per 1000 residents (P < .0001). The largest declines were among the oldest individuals, such as the 41.2% decline among 18-year-olds. From 2010 through 2017, the mean daily MME dispensed declined by 7.6%, from 40.7 MMEs per day in 2010 to 37.6 MMEs per day in 2017 (P < .0001), but the decrease was limited to children 0 to 9 years old. CONCLUSIONS: The rate of opioid analgesic prescriptions dispensed to children 0 to 18 years old in South Carolina declined by 35.6% over the years 2010-2017; however, the MME dispensed per day declined minimally, suggesting that more can be done to improve opioid prescribing and dispensing.

Patterns of dispensed opioids after tonsillectomy in children and adolescents in South Carolina, United States, 2010-2017.

OBJECTIVES: Tonsillectomy (with or without adenoidectomy) is a common pediatric surgical procedure requiring post-operative analgesia. Because of the respiratory depression effects of opioids, clinicians strive to limit the use of these drugs for analgesia post-tonsillectomy. The objective of this study was to identify demographic and medication use patterns predictive of persistent opioid dispensing (as a proxy for opioid use) to pediatric patients post-tonsillectomy. PATIENTS AND METHODS: Retrospective cohort of South Carolina (USA) Medicaid-insured children and adolescents 0-18 years old without malignancy who had tonsillectomy in 2014-2017. We evaluated opioid dispensing pre-surgery and in the 30 days exposure period after hospital discharge. The main outcome, persistent opioid dispensing, was defined as any subject dispensed ≥1 opioid prescription 90-270 days after discharge. Group-based trajectory analyses described post-procedure opioid dispensing trajectories. RESULTS: There were 11,578 subjects representing 12,063 tonsillectomy procedures. Few (3.5%) procedures were followed by persistent opioid dispensing. Any opioid dispensing during the exposure period was associated with an increased odds of persistent opioid dispensing status during the follow up period (OR 1.51 for 1-6 days of exposure and OR 1.65 for 7-30 days of opioid exposure), as was pre-procedure opioid dispensing, having >1 tonsillectomy procedure, and having complex chronic medical conditions. Group-based trajectory analyses identified 4 distinct patterns of post-discharge opioid dispensing. CONCLUSIONS: Any opioid dispensing during the 30 days after tonsillectomy increased the odds of persistent opioid dispensing by > 50%. Multivariable and group-based trajectory analyses identified patient and procedure variables that correlate with persistent opioid dispensing, primarily driven by groups receiving pre-tonsillectomy opioids and a second group who experienced multiple episodes of tonsillectomy.

High-Risk Opioid Prescribing Trends: Prescription Drug Monitoring Program Data From 2010 to 2018.

OBJECTIVE: Deaths due to opioids have continued to increase in South Carolina, with 816 opioid-involved overdose deaths reported in 2018, a 9% increase from the prior year. The objective of the current study is to examine longitudinal trends (quarter [Q] 1 2010 through Q4 2018) of opioid prescribing volume and high-risk opioid prescribing behaviors in South Carolina using comprehensive dispensing data available in the South Carolina Prescription Drug Monitoring Program (SC PDMP). DESIGN: Retrospective analyses of SC PDMP data were performed using general linear models to assess quarterly time trends and change in rate of each outcome Q1 2010 through Q4 2018. PARTICIPANTS: Opioid analgesic prescription fills from SC state residents between Q1 2010 and Q4 2018. MAIN OUTCOME MEASURES: High-risk prescribing behaviors included (1) opioid prescribing rate; (2) percentage of patients receiving opioids dispensed 90 or more average morphine milligram equivalents daily; (3) percentage of opioid prescribed days with overlapping opioid and benzodiazepine prescriptions; (4) rate per 100 000 residents of multiple provider episodes; and (5) percentage of patients prescribed extended release opioids who were opioid naive. RESULTS: A total of 33 027 461 opioid prescriptions were filled by SC state residents within the time period of Q1 2010 through Q4 2018. A 41% decrease in the quarterly prescribing rate of opioids occurred from Q1 2010 to Q4 2018. The decrease in overall opioid prescribing was mirrored by significant decreases in all 4 high-risk prescribing behaviors. CONCLUSION: PDMPs may represent the most complete data regarding the dispensing of opioid prescriptions and as such be valuable tools to inform and monitor the supply of licit opioids. Our results indicate that public health policy, legislative action, and multiple clinical interventions aimed at reducing high rates of opioid prescribing across the health care ecosystem appear to be succeeding in the state of South Carolina.

Effect of Payor-Mandated Review of Prescription Drug Monitoring Program on Opioid Prescriber Rates.

OBJECTIVE: To evaluate the effect of a 2016 South Carolina payor mandate to query the state prescription drug monitoring program (PDMP) before prescribing controlled substances on the rate of opioid prescribers in South Carolina. METHODS: South Carolina PDMP datasets from 2010-2017 were evaluated using interrupted time series regression to compare changes in the rate of opioid prescribers before and after the 2016 mandate. The rate of opioid prescribers was defined as the number of prescribers who prescribed class II to IV opioids on any one prescription in each quarter divided by the total number of South Carolina prescribers who prescribed any one class II to IV medication. The rate of high-dose opioid prescribers was defined as the number of prescribers who prescribed ≥90-morphine milligram equivalent per day on any one prescription in each quarter divided by all of the prescribers who prescribed an opioid analgesic prescription. RESULTS: The rates of South Carolina opioid prescribers decreased from 75% in 2010 to 60% in 2017, with no significant change in slope (P = 0.24) after the 2016 payor mandates. The rates of South Carolina high-dose opioid prescribers decreased from 40% in 2010 to 32% in 2017, with a significant decrease in slope (P < 0.001) after the payor mandate. CONCLUSIONS: The slope of the South Carolina high-dose opioid prescriber rate significantly decreased after the 2016 South Carolina payor mandate, while the slope of the South Carolina opioid prescriber rate did not. The long-term outcomes related to the change in opioid prescriber rates are unknown and warrant further study.

Chaos to complexity: leveling the playing field for measuring value in primary care.

RATIONALE, AIMS AND OBJECTIVES: Develop a risk-stratification model that clusters primary care patients with similar co-morbidities and social determinants and ranks 'within-practice' clusters of complex patients based on likelihood of hospital and emergency department (ED) utilization. METHODS: A retrospective cohort analysis was performed on 10 408 adults who received their primary care at the Medical University of South Carolina University Internal Medicine clinic. A two-part generalized linear regression model was used to fit a predictive model for ED and hospital utilization. Agglomerative hierarchical clustering was used to identify patient subgroups with similar co-morbidities. RESULTS: Factors associated with increased risk of utilization included specific disease clusters {e.g. renal disease cluster [rate ratio, RR = 5.47; 95% confidence interval (CI; 4.54, 6.59) P < 0.0001]}, low clinic visit adherence [RR = 0.33; 95% CI (0.28, 0.39) P < 0.0001] and census measure of high poverty rate [RR = 1.20; 95% CI (1.11, 1.28) P < 0.0001]. In the cluster model, a stable group of four clusters remained regardless of the number of additional clusters forced into the model. Although the largest number of high-utilization patients (top 20%) was in the multiple chronic condition cluster (1110 out of 4728), the largest proportion of high-utilization patients was in the renal disease cluster (67%). CONCLUSIONS: Risk stratification enhanced with disease clustering organizes a primary care population into groups of similarly complex patients so that care coordination efforts can be focused and value of care can be maximized.