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Background: Many institutions have developed operation-specific guidelines for opioid prescribing. These guidelines rarely incorporate in-hospital opioid consumption, which is highly correlated with consumption. We compare outcomes of several patient-centered approaches to prescribing that are derived from in-hospital consumption, including several experimental, rule-based prescribing guidelines and our current institutional guideline., Study Design: We performed a retrospective, cohort study of all adults undergoing surgery at a single-academic medical center. Several rule-based guidelines, derived from in-hospital consumption (quantity of opioids consumed within 24 hours of discharge), were used to specify the theoretical quantity of opioid prescribed on discharge. The efficacy of the experimental guidelines was compared with 3 references: an approximation of our institution's tailored prescribing guideline; prescribing all patients the typical quantity of opioids consumed for patients undergoing the same operation; and a representative rule-based, tiered framework. For each scenario, we calculated the penalized residual sum of squares (reflecting the composite deviation from actual patient consumption, with 15% penalty for overprescribing) and the proportion of opioids consumed relative to prescribed., Results: A total of 1,048 patients met inclusion criteria. Mean (SD) and median (interquartile range [IQR]) quantity of opioids consumed within 24 hours of discharge were 11.2 (26.9) morphine milligram equivalents and 0 (0 to 15) morphine milligram equivalents. Median (IQR) postdischarge consumption was 16 (0 to 150) morphine milligram equivalents. Our institutional guideline and the previously validated rule-based guideline outperform alternate approaches, with median (IQR) differences in prescribed vs consumed opioids of 0 (-60 to 27.25) and 37.5 (-37.5 to 37.5), respectively, corresponding to penalized residual sum of squares of 39,817,602 and 38,336,895, respectively., Conclusions: Rather than relying on fixed quantities for defined operations, rule-based guidelines offer a simple yet effective method for tailoring opioid prescribing to in-hospital consumption., (Copyright © 2024 by the American College of Surgeons. Published by Wolters Kluwer Health, Inc. All rights reserved.)

Introduction: Prescription opioids, including those prescribed after surgery, have greatly contributed to the US opioid epidemic. Educating opioid prescribers is a crucial component of ensuring the safe use of opioids among surgical patients., Methods: An annual opioid prescribing education curriculum was implemented among new surgical prescribers at our institution between 2017 and 2022. The curriculum includes a single 75-min session which is comprised of several components: pain medications (dosing, indications, and contraindications); patients at high risk for uncontrolled pain and/or opioid misuse or abuse; patient monitoring and care plans; and state and federal regulations. Participants were asked to complete an opioid knowledge assessment before and after the didactic session., Results: Presession and postsession assessments were completed by 197 (89.6%) prescribers. Across the five studied years, the median presession score was 54.5%. This increased to 63.6% after completion of the curriculum, representing a median relative knowledge increase of 18.2%. The median relative improvement was greatest for preinterns and interns (18.2% for both groups); smaller improvements were observed for postgraduate year 2-5 residents (9.1%) and advanced practice providers (9.1%). On a scale of 1 to 10 (with 5 being comfortable), median (interquartile range) self-reported comfort in prescribing opioids increased from 3 (2-5) before education to 5 (4-6) after education (P < 0.001)., Conclusions: Each year, the curriculum substantially improved provider knowledge of and comfort in opioid prescribing. Despite increased national awareness of the opioid epidemic and increasing institutional initiatives to improve opioid prescribing practices, there was a sustained knowledge and comfort gap among new surgical prescribers. The observed effects of our opioid education curriculum highlight the value of a simple and efficient educational initiative., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Opioid prescribing patterns, including those after surgery, have been implicated as a significant contributor to the US opioid crisis. A plethora of interventions-from nudges to reminders-have been deployed to improve prescribing behavior, but reasons for persistent outlier behavior are often unknown., Study Design: Our institution employs multiple prescribing resources and a near real-time, feedback-based intervention to promote appropriate opioid prescribing. Since 2019, an automated system has emailed providers when a prescription exceeds the 75th percentile of typical opioid consumption for a given procedure-as defined by institutional data collection. Emails include population consumption metrics and an optional survey on rationale for prescribing. Responses were analyzed to understand why providers choose to prescribe atypically large discharge opioid prescriptions. We then compared provider prescriptions against patient consumption., Results: During the study period, 10,672 eligible postsurgical patients were discharged; 2,013 prescriptions (29.4% of opioid prescriptions) exceeded our institutional guideline. Surveys were completed by outlier prescribers for 414 (20.6%) encounters. Among patients where both consumption data and prescribing rationale surveys were available, 35.2% did not consume any opioids after discharge and 21.5% consumed <50% of their prescription. Only 93 (39.9%) patients receiving outlier prescriptions were outlier consumers. Most common reasons for prescribing outlier amounts were attending preference (34%) and prescriber analysis of patient characteristics (34%)., Conclusions: The top quartile of opioid prescriptions did not align with, and often far exceeded, patient postdischarge opioid consumption. Providers cite assessment of patient characteristics as a common driver of decision-making, but this did not align with patient usage for approximately 50% of patients., (Copyright © 2023 by the American College of Surgeons. Published by Wolters Kluwer Health, Inc. All rights reserved.)

Background: Many U.S. institutions have adopted postsurgical opioid-prescribing guidelines to standardize prescribing practices, and yet there is inherent variability in patients' opioid consumption after surgery. The utility of these guidelines is limited by the fact that some patients' needs will inevitably exceed them, and yet there are no evidence-based tools to help providers identify these patients. In this study we aimed to maximize the value of these guidelines by training machine learning models to predict patients whose needs will be met by these smaller recommended prescriptions, and patients who may require an additional degree of personalization. The aim of the present study was to develop predictive models for determining whether a surgical patient's postdischarge opioid requirement will fall above or below common opioid prescribing guidelines., Methods: We conducted a retrospective cohort study of surgical patients at one institution from 2017 to 2018. Patients were called after discharge to collect opioid consumption data. Machine learning models were used to identify outlier opioid consumers (ie, exceeding our institutional prescribing guidelines) using diagnosis codes, medical history, in-hospital opioid use, and perioperative factors as predictors. External validation was performed on opioid consumption data collected at a second institution from 2020 to 2021, and sensitivity analysis was performed using a third institution's prescribing guidelines., Results: The development and external validation cohorts included 1,867 and 498 patients, respectively. Age, body mass index, tobacco use, preoperative opioid exposure, and in-hospital opioid consumption were the strongest predictors of postdischarge consumption. A lasso regression model exhibited an area under the receiver operating characteristic curve of 0.74 (95% confidence interval 0.67-0.81) in predicting postdischarge opioid consumption. External validation of a limited lasso model yielded an area under the receiver operating characteristic curve of 0.67 (0.60-0.74). Performance was preserved when evaluated on another institution's guidelines (area under the receiver operating characteristic curve 0.76 [0.72-0.80])., Conclusion: Patient characteristics reliably predict postdischarge opioid consumption in relation to prescribing guidelines for both opioid-naive and exposed populations. This model may be used to help providers confidently follow prescribing guidelines for patients with typical opioid responsiveness and correctly pursue more personalized prescribing for others., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Importance: The US health care system is experiencing a sharp increase in opioid-related adverse events and spending, and opioid overprescription may be a key factor in this crisis. Ambient opioid exposure within households is one of the known major dangers of overprescription., Objective: To quantify the association between the postsurgical initiation of prescription opioid use in opioid-naive patients and the subsequent prescription opioid misuse and chronic opioid use among opioid-naive family members., Design, Setting, and Participants: This cohort study was conducted using administrative data from the database of a US commercial insurance provider with more than 35 million covered individuals. Participants included pairs of patients who underwent surgery from January 1, 2008, to December 31, 2016, and their family members within the same household. Data were analyzed from January 1 to November 30, 2018., Exposures: Duration of opioid exposure and refills of opioid prescriptions received by patients after surgery., Main Outcomes and Measures: Risk of opioid misuse and chronic opioid use in family members were calculated using inverse probability weighted Cox proportional hazards regression models., Results: The final cohort included 843 531 pairs of patients and family members. Most pairs included female patients (445 456 [52.8%]) and male family members (442 992 [52.5%]), and a plurality of pairs included patients in the 45 to 54 years age group (249 369 [29.6%]) and family members in the 15 to 24 years age group (313 707 [37.2%]). A total of 3894 opioid misuse events (0.5%) and 7485 chronic opioid use events (0.9%) occurred in family members. In adjusted models, each additional opioid prescription refill for the patient was associated with a 19.2% (95% CI, 14.5%-24.0%) increase in hazard of opioid misuse in family members. The risk of opioid misuse appeared to increase only in households in which the patient obtained refills. Family members in households with any refill had a 32.9% (95% CI, 22.7%-43.8%) increased adjusted hazard of opioid misuse. When patients became chronic opioid users, the hazard ratio for opioid misuse among family members was 2.52 (95% CI, 1.68-3.80), and similar patterns were found for chronic opioid use., Conclusions and Relevance: This cohort study found that opioid exposure was a household risk. Family members of a patient who received opioid prescription refills after surgery had an increased risk of opioid misuse and chronic opioid use.

Objective: We compare consensus recommendations for 5 surgical procedures to prospectively collected patient consumption data. To address local variation, we combined data from multiple hospitals across the country., Summary of Background Data: One approach to address the opioid epidemic has been to create prescribing consensus reports for common surgical procedures. However, it is unclear how these guidelines compare to patient-reported data from multiple hospital systems., Methods: Prospective observational studies of surgery patients were completed between 3/2017 and 12/2018. Data were collected utilizing post-discharge surveys and chart reviews from 5 hospitals (representing 3 hospital systems) in 5 states across the USA. Prescribing recommendations for 5 common surgical procedures identified in 2 recent consensus reports were compared to the prospectively collected aggregated data. Surgeries included: laparoscopic cholecystectomy, open inguinal hernia repair, laparoscopic inguinal hernia repair, partial mastectomy without sentinel lymph node biopsy, and partial mastectomy with sentinel lymph node biopsy., Results: Eight hundred forty-seven opioid-naïve patients who underwent 1 of the 5 studied procedures reported counts of unused opioid pills after discharge. Forty-one percent did not take any opioid medications, and across all surgeries, the median consumption was 3 5 mg oxycodone pills or less. Generally, consensus reports recommended opioid quantities that were greater than the 75th percentile of consumption, and for 2 procedures, recommendations exceeded the 90th percentile of consumption., Conclusions: Although consensus recommendations were an important first step to address opioid prescribing, our data suggests that following these recommendations would result in 47%-56% of pills prescribed remaining unused. Future multi-institutional efforts should be directed toward refining and personalizing prescribing recommendations., Competing Interests: The authors declare no conflict of interests., (Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Since 2017, states, insurers, and pharmacies have placed blanket limits on the duration and quantity of opioid prescriptions. In many states, overlapping duration and daily dose limits yield maximum prescription limits of 150-350 morphine milligram equivalents (MMEs). There is limited knowledge of how these restrictions compare with actual patient opioid consumption; while changes in prescription patterns and opioid misuse rates have been studied, these are, at best, weak proxies for actual pain control consumption. We sought to determine how patients undergoing surgery would be affected by opioid prescribing restrictions using actual patient opioid consumption data. Methods: We constructed a prospective database of post-discharge opioid consumption: patients undergoing surgery at one institution were called after discharge to collect opioid consumption data. Patients whose opioid consumption exceeded 150 and 350 MME were identified. Results: Two thousand nine hundred and seventy-one patients undergoing 54 common surgical procedures were included in our study. Twenty-one percent of patients consumed more than the 150 MME limit. Only 7% of patients consumed above the 350 MME limit. Typical (non-outlier) opioid consumption, defined as less than the 75th percentile of consumption for any given procedure, exceeded the 150 MME and 350 MME limits for 41 and 7% of procedures, respectively. Orthopedic, spinal/neurosurgical, and complex abdominal procedures most commonly exceeded these limits. Conclusions: While most patients undergoing surgery are unaffected by recent blanket prescribing limits, those undergoing a specific subset of procedures are likely to require more opioids than the restrictions permit; providers should be aware that these patients may require a refill to adequately control post-surgical pain. Real consumption data should be used to guide these restrictions and inform future interventions so the risk of worsened pain control (and its troublesome effects on opioid misuse) is minimized. Procedure-specific prescribing limits may be one approach to prevent misuse, while also optimizing post-operative pain control.

Background: Opioid misuse is currently plaguing the US. Efforts to reduce this include opioid prescribing education (OPE). Orthopaedic residents often prescribe opioids but, their education is unknown., Methods: A survey was sent to orthoapedic residency program directors (PDs) regarding their program's controlled substance (CS) policies and knowledge of local CS regulations., Results: There were 60 (36.8%) completed surveys. 54 (90.0%) programs allow resident outpatient opioid prescribing. Nine (16.7%) programs require individual DEA registration and 7 (13.0%) were unsure about DEA registrations. State laws regarding PDMP utilization and OPE for fully licensed physicians were correctly answered by 52 (86.7%) and 43 (71.6%), respectively. 27 (45.0%) programs had a mandatory OPE. Six (10.0%) PDs were unsure about a mandatory OPE. 16 (48.5%) programs that did not confirm an OPE were considering adding one., Conclusions: The majority of programs permit residents outpatient opioid prescribing; less than half provide mandatory OPE. Several PDs were unaware local CS prescribing regulations and education. This study demonstrates opportunities to improve OPE among orthopaedic residencies and PDs' knowledge regarding CS regulations., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: As the nation works to improve the opioid epidemic, safer opioid prescribing is needed. Prescriber education is one method to assist with this aim. To gauge current surgical residents' opioid prescribing practices at a safety-net hospital, an evaluation was completed before a general surgery-specific opioid prescribing education (OPE) session. The effectiveness of this OPE was measured through a postparticipation evaluation., Methods: A voluntary, anonymous evaluation immediately before and after a one-hour OPE session was performed at an urban safety-net hospital. Descriptive statistics and Student's t-test comparisons of means were performed to analyze the results., Results: Twenty-three residents completed the surveys. Eleven (47.8%) completed prior OPE with the most common modality being online (7, 63.6%). No participant performed an opioid risk assessment before prescribing opioids. More than half of the residents (14, 60.9%) never used the prescription drug monitoring program. Less than 1/3 (7, 30.4%) used preoperative gabinoids (gabapentin or pregabalin) for elective surgeries. Only two residents provided information on unused opioid disposal. After the OPE, the participants were more likely to prescribe preoperative gabinoids (7 versus 21, P < 0.001). The mean opioid pills prescribed for laparoscopic cholecystectomy, open inguinal hernia repair, laparoscopic ventral hernia repair, and laparoscopic appendectomy were reduced by 2.6 (14.2%, P = 0.23), 3.7 (18.9%, P = 0.07), 2.6 (13.1%, P = 0.23), and 1.1 (7.3%, P = 0.60) pills, respectively., Conclusion: A short OPE delivered to surgical residents at a safety-net hospital significantly improved the use of preoperative gabinoids. Although the pill count reductions after the OPE were not statistically significant, there was a consistent reduction in amount of opiates prescribed after the OPE. However, clinical significance is important, as a reduction in any amount of opioid medication can help deter misuse and diversion. This suggests resident surgeons could participate in a specialty-specific OPE to improve opioid prescribing., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Purpose: Millions of Americans who undergo surgical procedures receive opioid prescriptions as they return home. While some derive great benefit from these medicines, others experience adverse events, convert to chronic opioid use, or have unused medicines that serve as a reservoir for potential nonmedical use. Our aim was to investigate concepts and methods relevant to optimal opioid prescribing and pain treatment in the perioperative period., Methods: We reviewed existing literature for trials on factors that influence opioid prescribing and optimization of pain treatment for surgical procedures and generated a conceptual framework to guide future quality, safety, and research efforts., Results: Opioid prescribing and pain treatment after discharge from surgery broadly consist of 3 key interacting perspectives, including those of the patient, the perioperative team, and, serving in an essential role for all patients, the pharmacist. Systems-based factors, ranging from the organizational environment's ability to provide multimodal analgesia and participation in enhanced recovery after surgery programs to other healthcare system and macro-level trends, shape these interactions and influence opioid-related safety outcomes., Conclusions: The severity and persistence of the opioid crisis underscore the urgent need for interventions to improve postoperative prescription opioid use in the United States. Such interventions are likely to be most effective, with the fewest unintended consequences, if based on sound evidence and built on multidisciplinary efforts that include pharmacists, nurses, surgeons, anesthesiologists, and the patient. Future studies have the potential to identify the optimal amount to prescribe, improve patient-focused safety and quality outcomes, and help curb the oversupply of opioids that contributes to the most pressing public health crisis of our time., (© American Society of Health-System Pharmacists 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Prescription opioid medications account for a large number of fatal and non-fatal overdoses. Many opioid prescription medications after surgery go unused, with the potential for diversion and misuse. As surgeons become increasingly aware of their role in opioid misuse, better tools are needed to guide behavior., Data Sources: There has recently been a plethora of research into opioid prescribing after surgery. A review of this literature was performed using a search for manuscripts written in the English language. Our goal was to develop an easily recalled approach to postoperative opioid prescribing., Results: Based on an extensive review of recent literature, we developed the acronym RIGHTT: Risk for adverse event, Insight into pain, Going over pain plan, Halting opioids, Tossing unused opioids and Trouble identification. It is important that surgeons recognize the potential for opioid misuse in their patients. Strategies have been developed to decrease the risk of prescribing opioids. RIGHTT provides a simple acronym for surgeons to integrate best-practice strategies into their management of post-surgical opioids., (Copyright © 2018 Elsevier Inc. All rights reserved.)