Trends in Opioid Prescribing Following Pennsylvania Statewide Implementation of a Prescription Drug Monitoring Program

Preoperative vs Postoperative Opioid Prescriptions and Prolonged Opioid Refills Among US Youths

Importance

High-risk practices, including dispensing an opioid prescription before surgery when not recommended, remain poorly characterized among US youths and may contribute to new persistent opioid use.

Objective

To characterize changes in preoperative, postoperative, and refill opioid prescriptions up to 180 days after surgery.

Design, Setting, and Participants

This retrospective cohort study was performed using national claims data to determine opioid prescribing practices among a cohort of opioid-naive youths aged 11 to 20 years undergoing 22 inpatient and outpatient surgical procedures between 2015 and 2020. Statistical analysis was performed from June 2023 to April 2024.

Main Outcomes and Measures

The primary outcome was the percentage of initial opioid prescriptions filled up to 14 days prior to vs 7 days after a procedure. Secondary outcomes included the likelihood of a refill up to 180 days after surgery, including refills at 91 to 180 days, as a proxy for new persistent opioid use, and the opioid quantity dispensed in the initial and refill prescriptions in morphine milligram equivalents (MME). Exposures included patient and prescriber characteristics. Multivariable logistic regression models were used to estimate the association between prescription timing and prolonged refills.

Results

Among 100 026 opioid-naive youths (median [IQR] age, 16.0 [14.0-18.0] years) undergoing a surgical procedure, 46 951 (46.9%) filled an initial prescription, of which 7587 (16.2%) were dispensed 1 to 14 days before surgery. The mean quantity dispensed was 227 (95% CI, 225-229) MME; 6467 youths (13.8%) filled a second prescription (mean MME, 239 [95% CI, 231-246]) up to 30 days after surgery, and 1216 (3.0%) refilled a prescription 91 to 180 days after surgery. Preoperative prescriptions, increasing age, and procedures not typically associated with severe pain were most strongly associated with new persistent opioid use.

Conclusions and Relevance

In this retrospective study of youths undergoing surgical procedures, of which, many are typically not painful enough to require opioid use, opioid dispensing declined, but approximately 1 in 6 prescriptions were filled before surgery, and 1 in 33 adolescents filled prescriptions 91 to 180 days after surgery, consistent with new persistent opioid use. These findings should be addressed by policymakers and communicated by professional societies to clinicians who prescribe opioids.

Opioid Use in Pelvic Fractures: The Impact of Opioid Prescribing Laws in Pennsylvania

Pennsylvania's Prescription Drug Monitoring Program (PDMP) was established in 2016, but its impact on opioid use for pelvic fractures is understudied. We compared opioid use in 277 pelvic fracture cases between two periods: 2015-2017 (T1) and 2018-2020 (T2). Outcomes included daily inpatient morphine milligram equivalents (MME), long-term opioid use (LOU) 60-90 days post-discharge, and intermediate-term opioid use (IOU) 30-60 days post-discharge. T1 and T2 had comparable baseline characteristics. T2 was associated with a decrease in average daily inpatient MME (58.6 vs 78.5, P = .02), particularly in younger patients. Regression analyses showed age and Injury Severity Score (ISS) were significant predictors for daily inpatient MME, while time period was not. Geriatric patients in T2 had significantly decreased IOU (30% vs 9%, P = .05). Pelvic fracture type and daily MME predicted IOU, while pelvic fracture type predicted LOU. This study suggests a modest impact of these laws, but further study is needed.

Impact of the Narcotics Information Management System on Opioid Use Among Outpatients With Musculoskeletal and Connective Tissue Disorders: Quasi-Experimental Study Using Interrupted Time Series

BACKGROUND

Opioids have traditionally been used to manage acute or terminal pain. However, their prolonged use has the potential for abuse, misuse, and addiction. South Korea introduced a new health care IT system named the Narcotics Information Management System (NIMS) with the objective of managing all aspects of opioid use, including manufacturing, distribution, sales, disposal, etc.

OBJECTIVE

This study aimed to assess the impact of NIMS on opioid use.

METHODS

We conducted an analysis using national claims data from 45,582 patients diagnosed with musculoskeletal and connective tissue disorders between 2016 and 2020. Our approach included using an interrupted time-series analysis and constructing segmented regression models. Within these models, we considered the primary intervention to be the implementation of NIMS, while we treated the COVID-19 outbreak as the secondary event. To comprehensively assess inappropriate opioid use, we examined 4 key indicators, as established in previous studies: (1) the proportion of patients on high-dose opioid treatment, (2) the proportion of patients receiving opioid prescriptions from multiple providers, (3) the overlap rate of opioid prescriptions per patient, and (4) the naloxone use rate among opioid users.

RESULTS

During the study period, there was a general trend of increasing opioid use. After the implementation of NIMS, significant increases were observed in the trend of the proportion of patients on high-dose opioid treatment (coefficient=0.0271; P=.01) and in the level of the proportion of patients receiving opioid prescriptions from multiple providers (coefficient=0.6252; P=.004). An abrupt decline was seen in the level of the naloxone use rate among opioid users (coefficient=-0.2968; P=.04). While these changes were statistically significant, their clinical significance appears to be minor. No significant changes were observed after both the implementation of NIMS and the COVID-19 outbreak.

CONCLUSIONS

This study suggests that, in its current form, the NIMS may not have brought significant improvements to the identified indicators of opioid overuse and misuse. Additionally, the COVID-19 outbreak exhibited no significant influence on opioid use patterns. The absence of real-time monitoring feature within the NIMS could be a key contributing factor. Further exploration and enhancements are needed to maximize the NIMS' impact on curbing inappropriate opioid use.