Association of Hydrocodone Schedule Change With Opioid Prescriptions Following Surgery.

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 (ß = 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 (ß = 18.3 [30.5]; P = .55), but there was a significant decrease in the refill rate (ß = -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.

Effect of Preoperative Opioid Exposure on Healthcare Utilization and Expenditures Following Elective Abdominal Surgery.

OBJECTIVE: To examine the extent to which preoperative opioid use is correlated with healthcare utilization and costs following elective surgical procedures. SUMMARY BACKGROUND DATA: Morbidity and mortality associated with prescription opioid use is escalating in the United States. The extent to which chronic opioid use influences postoperative outcomes following elective surgery is not well understood. METHODS: Truven Health Marketscan Databases were used to identify adult patients who underwent elective abdominal surgery between June 2009 and December 2012 (n = 200,005). Generalized linear regression was used to determine the effect of preoperative opioid use on postoperative healthcare utilization (length of stay, 30-d readmission, and discharge destination) and cost (hospital stay, 90-, 180-, and 365-d) after adjusting for number of comorbidities, psychological conditions, and demographic characteristics. RESULTS: In this cohort, 8.8% of patients used opioids preoperatively. Compared with non-users, patients using opioids preoperatively were more likely to have a longer hospital stay (2.9 d vs. 2.5 d, P <0.001) and were more likely to be discharged to a rehabilitation facility (3.6% vs. 2.5%, P <0.001), adjusting for covariates. Preoperative opioid use was also correlated with a greater rate of 30-day readmission (4.5% vs. 3.6%, P <0.001) and overall greater expenditures at 90- ($12036.60 vs. $3863.40, P <0.001), 180- ($16973.70 vs. $6790.60, P <0.001), and 365- ($25495.70 vs. $12113.80, P <0.001) days following surgery, adjusted for covariates. Additionally, dose-effects were observed regarding readmission, discharge destination, and late healthcare expenditures. CONCLUSIONS: Preoperative interventions focused on opioid cessation and alternative analgesics may improve the safety and efficiency of elective surgery among chronic opioid users.

Adolescents' future orientation and nonmedical use of prescription drugs.

INTRODUCTION: How adolescents think about their future (i.e., future orientation) impacts their risk-taking behavior. The purpose of the present analysis was to explore whether future orientation (future planning, perceived risk to future goals, and positive future expectations) was associated with nonmedical use of stimulants and analgesics in a sample of high school students. METHODS: Information on future orientation and nonmedical use of prescription drugs (NMUPD) were collected using a paper-and-pencil survey from a sample of 9th-12th grade students in a Midwestern school. RESULTS: Higher perceived risk to future goals and positive future expectations were associated with a lower likelihood of self-reported nonmedical use of stimulants (n=250; OR=0.46, 95% CI: 0.26, 0.83; OR=0.15, 95% CI: 0.05, 0.47, respectively). Only higher perceived risk to future goals was associated with a lower likelihood of self-reported nonmedical use of analgesics (n=250; OR=0.40, 95% CI: 0.24, 0.68). In a follow-up analysis limited to students who endorsed alcohol or marijuana use, perceived risk to future goals remained associated with a lower likelihood of nonmedical use of stimulants and analgesics. CONCLUSIONS: Results suggest that risk perception might be a salient protective factor against both nonmedical use of stimulants and analgesics. Overall, the differential impact of conceptualizations of future orientation might depend on the class of prescription drug used, demonstrating a need to consider prescription drugs individually in the development of future studies and interventions.