Dataset Information

Association of State Opioid Duration Limits With Postoperative Opioid Prescribing.

ABSTRACT: Importance:Since the Centers for Disease Control and Prevention published opioid prescribing guidelines in March 2016, 31 states have implemented legislation to restrict the duration of opioid prescriptions for acute pain. However, the association of these policies with the amount of opioid prescribed following surgery remains unknown. Objective:To examine the association of opioid prescribing duration limits with postoperative opioid prescribing in Massachusetts and Connecticut, the first 2 states to implement limits after March 2016. Design, Setting, and Participants:This interrupted time series analysis and cross-sectional study examined immediate level and slope changes in monthly outcomes after prescribing limit implementation in Massachusetts and Connecticut. These states implemented 7-day limits on initial opioid prescriptions on March 14, 2016, and July 1, 2016, respectively. Using the 2014 to 2017 IBM MarketScan Research Database, 16?281 opioid-naive adults in these states who filled a prescription within 3 days of surgery between July 1, 2014, and November 30, 2017, were identified. Data were analyzed from December 2018 to June 2019. Main Outcomes and Measures:The primary outcome was the prescription size in oral morphine equivalents (OMEs) for the initial postoperative opioid prescription (one 5/325 mg hydrocodone-acetaminophen pill?=?5 OMEs). Secondary outcomes included days supplied in the initial prescription and the proportion of initial prescriptions exceeding a 7-day supply. Results:In total, 16?281 opioid-naive patients (9708 [59.6%] female; median [interquartile range] age range, 45-54 [35-44 to 55-64] years) undergoing surgical procedures were included. In Massachusetts, there were 5340 and 5435 patients in the preimplementation and postimplementation periods, respectively. In Connecticut, there were 2869 and 2637 patients in the preimplementation and postimplementation periods, respectively. Limit implementation in Massachusetts was associated with an immediate mean level decrease in prescription size (-38 OMEs [95% CI, -44 to -32 OMEs]) and with a mean decrease in slope (-1.5 OMEs/mo [95% CI, -2.1 to -0.9 OMEs/mo]). Implementation was also associated with an immediate mean level decrease in days supplied (-0.4 days [95% CI, -0.6 to -0.2 days]) and the proportion of prescriptions exceeding a 7-day supply (-5.9 percentage points [95% CI, -7.9 to -3.9 percentage points]). In contrast, limit implementation in Connecticut was not associated with level or slope changes in any outcome. Conclusions and Relevance:Opioid prescribing duration limits had a variable association with postoperative opioid prescribing in Massachusetts and Connecticut. The mean opioid prescription size filled, days supplied, and prescribing exceeding a 7-day supply decreased after limit implementation in Massachusetts only. Given the potential differences in policy dissemination and uptake, efforts to reduce opioid prescribing should also include surgeon education and evidence-based prescribing recommendations.

SUBMITTER: Agarwal S

PROVIDER: S-EPMC6991309 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Association of State Opioid Duration Limits With Postoperative Opioid Prescribing.

Agarwal Sunil S Bryan John D JD Hu Hsou Mei HM Lee Jay S JS Chua Kao-Ping KP Haffajee Rebecca L RL Brummett Chad M CM Englesbe Michael J MJ Waljee Jennifer F JF

JAMA network open 20191202 12

<h4>Importance</h4>Since the Centers for Disease Control and Prevention published opioid prescribing guidelines in March 2016, 31 states have implemented legislation to restrict the duration of opioid prescriptions for acute pain. However, the association of these policies with the amount of opioid prescribed following surgery remains unknown.<h4>Objective</h4>To examine the association of opioid prescribing duration limits with postoperative opioid prescribing in Massachusetts and Connecticut, ...[more]

PMID: 31880801

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Project description:ImportanceDespite their widespread adoption across the US, policies imposing one-size-fits-all limits on the duration of prescriptions for opioids have shown modest and mixed implications for prescribing.ObjectiveTo assess whether a prescription duration limit policy tailored to different clinical settings was associated with shorter opioid prescription lengths.Design, setting, and participantsThis cross-sectional study examined changes in opioid prescribing patterns for opioid-naive Medicaid enrollees aged 12 to 64 years before and after implementation of a statewide prescription duration limit policy in West Virginia in June 2018. Patients with cancer or Medicare coverage were excluded. The policy assigned a 7-day duration limit to opioid prescriptions for adults treated in outpatient hospital- or office-based practices, a 4-day limit for adults treated in emergency departments, and a 3-day limit for pediatric patients younger than 18 years regardless of clinical setting. Data were examined from January 1, 2017, through September 30, 2019, and data were analyzed from June 12 to October 30, 2023.Main outcomes and measuresWhether a patient's initial opioid prescription was longer in days than the June 2018 policy limit for a given care setting before and after policy implementation. Interrupted time series models were used to calculate the association between the policy's implementation and outcomes.ResultsThe analytic sample included 44 703 Medicaid enrollees (27 957 patients [62.5%] before policy implementation and 16 746 patients [37.5%] after policy implementation; mean [SD] age, 33.9 [13.4] years; 27 461 females [61.4%]). Among adults treated in outpatient hospital- or office-based settings, the duration limit policy was associated with a decrease of 8.83 (95% CI, -10.43 to -7.23) percentage points (P < .001), or a 56.8% relative reduction, in the proportion of prescriptions exceeding the 7-day limit. In the emergency department setting, the policy was associated with a decrease of 7.03 (95% CI, -10.38 to -3.68) percentage points (P < .001), a 37.5% relative reduction, in the proportion of prescriptions exceeding the 4-day limit. The proportion of pediatric opioid prescriptions longer than the 3-day limit decreased by 12.80 (95% CI, -17.31 to -8.37) percentage points (P < .001), a 26.5% relative reduction, after the policy's implementation.Conclusions and relevanceResults of this cross-sectional study suggest that opioid prescription duration limits tailored to different clinical settings are associated with reduced length of prescriptions for opioid-naive patients. Additional research is needed to evaluate whether these limits are associated with reductions in the incidence of opioid use disorder or with unintended consequences, such as shifts to illicit opioids.

Project description:ImportanceUnderstanding whether statewide legislation, such as the Michigan Opioid Laws, is associated with reduction in postoperative opioid prescriptions is informative in guiding future legislation.ObjectiveTo identify changes in opioid prescribing patterns for oculoplastic and orbital procedures associated with the enactment of the Michigan Opioid Laws in 2017 and 2018.Design, setting, and participantsThis cross-sectional study included 3781 patients who underwent any of 10 common oculoplastic and orbital procedures between June 1, 2016, and November 30, 2019, at a tertiary care institution.ExposuresFrom 2017 to 2018, Michigan enacted a series of laws to address the state's worsening opioid epidemic. Two major components of this legislation enacted on June 1, 2018, required prescribers to review a report of patients' opioid use history and obtain signed consent after educating patients on the use and disposal of opioids prior to prescribing.Main outcomes and measuresDemographic information, type of surgery, type and amount of opioid prescriptions, and morphine milligram equivalent (MME) were analyzed. MME was calculated as the product of dose, quantity, and opioid-specific conversion factor for each prescription. Linear interpolation spline regression was used to evaluate the association of prescription MME with time.ResultsOf 3781 patients, 1614 (42.7%) were male. The mean (SD) age at the time of surgery was 63.3 (16.6) years. Of 2026 patients undergoing surgery before June 1, 2018, 1782 (88.0%) were prescribed postoperative opioids; of 1755 patients undergoing surgery after June 1, 2018, 878 (50.0%) were prescribed postoperative opioids (P < .001). There was no difference in age, sex, race/ethnicity, surgery type, or opioids prescribed between these 2 cohorts. Linear interpolation spline regression showed a decrease of 26.025 MMEs (equivalent to a 36.2% reduction of mean MME) between June 1, 2017, and September 30, 2018 (β, -1.735; 95% CI, -0.088 to -0.024; P < .001), stabilizing at a persistently reduced rate of MME prescribed through the end of the study period (October 1, 2018, to November 30, 2019; β, -0.005; 95% CI, -0.039 to 0.016; P = .42). Changes in MME in the 12 months before or 12 months after the period of legislation enactment were not identified.Conclusions and relevanceIn this cross-sectional study, reduction in opioid prescriptions for oculoplastic and orbital procedures was observed during the enactment period of the Michigan Opioid Laws and appeared to be sustained through the end of the study period. Similar statewide or national legislations aimed at increasing prescriber awareness and patient education on opioid use may help curtail the prescription opioid epidemic.

Project description:ObjectiveEvaluate the association between postoperative opioid prescribing and new persistent opioid use.Summary background dataOpioid-nave patients who develop new persistent opioid use after surgery are at increased risk of opioid-related morbidity and mortality. However, the extent to which postoperative opioid prescribing is associated with persistent postoperative opioid use is unclear.MethodsRetrospective study of opioid-naïve adults undergoing surgery in Michigan from 1/1/2017 to 10/31/2019. Postoperative opioid prescriptions were identified using a statewide clinical registry and prescription fills were identified using Michigan's prescription drug monitoring program. The primary outcome was new persistent opioid use, defined as filling at least 1 opioid prescription between post-discharge days 4 to 90 and filling at least 1 opioid prescription between post-discharge days 91 to 180.ResultsA total of 37,654 patients underwent surgery with a mean age of 52.2 (16.7) years and 20,923 (55.6%) female patients. A total of 31,920 (84.8%) patients were prescribed opioids at discharge. Six hundred twenty-two (1.7%) patients developed new persistent opioid use after surgery. Being prescribed an opioid at discharge was not associated with new persistent opioid use [adjusted odds ratio (aOR) 0.88 (95% confidence interval (CI) 0.71-1.09)]. However, among patients prescribed an opioid, patients prescribed the second largest [12 (interquartile range (IQR) 3) pills] and largest [20 (IQR 7) pills] quartiles of prescription size had higher odds of new persistent opioid use compared to patients prescribed the smallest quartile [7 (IQR 1) pills] of prescription size [aOR 1.39 (95% CI 1.04-1.86) andaOR 1.97 (95% CI 1.442.70), respectively].ConclusionsIn a cohort of opioid-naïve patients undergoing common surgical procedures, the risk of new persistent opioid use increased with the size of the prescription. This suggests that while opioid prescriptions in and of themselves may not place patients at risk of long-term opioid use, excessive prescribing does. Consequently, these findings support ongoing efforts to mitigate excessive opioid prescribing after surgery to reduce opioid-related harms.

Project description:ObjectiveTo evaluate the effects of state opioid prescribing cap laws on opioid prescribing after surgery.Data sourcesOptumLabs Data Warehouse administrative claims data covering all 50 states from July 2012 through June 2019.Study designWe included individuals from 20 states that had implemented prescribing cap laws without exemptions for postsurgical pain by June 2019 and individuals from 16 control states plus the District of Columbia. We used a difference-in-differences approach accounting for differential timing in law implementation across states to estimate the effects of state prescribing cap laws on postsurgical prescribing of opioids. Outcome measures included filling an opioid prescription within 30 days after surgery; filling opioid prescriptions of specific doses or durations; and the number, days' supply, daily dose, and pill quantity of opioid prescriptions. To assess the validity of the parallel counterfactual trends assumption, we examined differences in outcome trends between law-implementing and control states in the years preceding law implementation using an equivalence testing framework.Data collection/extraction methodsWe included the first surgery in the study period for opioid-naïve individuals undergoing one of eight common surgical procedures.Principal findingsState prescribing cap laws were associated with 0.109 lower days' supply of postsurgical opioids on the log scale (95% Confidence Interval [CI]: -0.139, -0.080) but were not associated with the number (Average treatment effect on the treated [ATT]: -0.011; 95% CI: -0.043, 0.021) or daily dose of postsurgical opioid prescriptions (ATT: -0.013; 95% CI: -0.030, 0.005). The negative association observed between prescribing cap laws and the probability of filling a postsurgical opioid prescription (ATT: -0.041; 95% CI: -0.054, -0.028) was likely spurious, given differences between law-implementing and control states in the pre-law period.ConclusionsPrescribing cap laws appear to have minimal effects on postsurgical opioid prescribing.

Project description:ImportanceHigh-dose and long-duration opioid prescriptions remain relatively common among children and adolescents, but there is insufficient research on the association of state laws limiting the dose and/or duration of opioid prescriptions (referred to as opioid prescribing cap laws) with opioid prescribing for this group.ObjectiveTo examine the association between state opioid prescribing cap laws and the receipt of opioid prescriptions among children and adolescents.Design setting and participantsThis repeated cross-sectional study used a difference-in-differences approach accounting for staggered policy adoption to assess the association of state opioid prescribing cap laws in the US from January 1, 2013, to December 31, 2019, with receipt of opioid prescriptions among children and adolescents. Analyses were conducted between March 22 and December 15, 2021. Data were obtained from the OptumLabs Data Warehouse, a national commercial insurance claims database. The analysis included 482 118 commercially insured children and adolescents aged 0 to 17 years with full calendar-year continuous insurance enrollment between 2013 and 2019. Individuals were included for every year in which they were continuously enrolled; they did not need to be enrolled for the entire 7-year study period. Those with any cancer diagnosis were excluded from analysis.ExposureImplementation of a state opioid prescribing cap law between January 1, 2017, and July 1, 2019. This date range allowed analysis of the same number years for both pre-cap and post-cap data.Main outcomes and measuresOutcomes of interest included receipt of any opioid prescription and, among those with at least 1 opioid prescription, the mean number of opioid prescriptions, mean morphine milligram equivalents (MMEs) per day, and mean days' supply.ResultsAmong 482 118 children and adolescents (754 368 person-years of data aggregated to the state-year level), 245 178 (50.9%) were male, with a mean (SD) age of 9.8 (4.8) years at the first year included in the sample (data on race and ethnicity were not collected as part of this data set, which was obtained from insurance billing claims). Overall, 10 659 children and adolescents (2.2%) received at least 1 opioid prescription during the study period. Among those with at least 1 prescription, the mean (SD) number of filled opioid prescriptions was 1.2 (0.8) per person per year. No statistically significant association was found between state opioid prescribing cap laws and any outcome. After opioid prescribing cap laws were implemented, a -0.001 (95% CI, -0.005 to 0.002) percentage point decrease in the proportion of youths receiving any opioid prescription was observed. In addition, percentage point decreases of -0.01 (95% CI, -0.10 to 0.09) in high-dose opioid prescriptions (>50 MMEs per day) and -0.02 (95% CI, -0.12 to 0.08) in long-duration opioid prescriptions (>7 days' supply) were found after cap laws were implemented.Conclusions and relevanceIn this cross-sectional study, no association was observed between state opioid prescribing cap laws and the receipt of opioid prescriptions among children and adolescents. Alternative strategies, such as opioid prescribing guidelines tailored to youths, are needed.

Project description:ImportanceReliance on prescription opioids for postprocedural analgesia has contributed to the opioid epidemic. With the implementation of electronic medical record (EMR) systems, there has been increasing use of computerized order entry systems for medication prescriptions, which is now more common than handwritten prescriptions. The EMR can autopopulate a default number of pills prescribed, and 1 potential method to alter prescriber behavior is to change the default number presented via the EMR system.ObjectiveTo investigate the association of lowering the default number of pills presented when prescribing opioids in an EMR system with the amount of opioid prescribed after procedures.Design, setting, and participantsA prepost intervention study was conducted to compare postprocedural prescribing patterns during the 3 months before the default change (February 18 to May 17, 2017) with the 3 months after the default change (May 18 to August 18, 2017). The setting was a multihospital health care system that uses Epic EMR (Hyperspace 2015 IU2; Epic Systems Corporation). Participants were all patients in the study period undergoing 1 of the 10 most common operations and discharged by postoperative day 1.InterventionThe default number of opioid pills autopopulated in the EMR when prescribing discharge analgesia was lowered from 30 to 12.Main outcomes and measuresLinear regression estimating the change in the median number of opioid pills and the total dose of opioid prescribed was performed. Opioid doses were converted into morphine milligram equivalents (MME) for comparison. The frequency of patients requiring analgesic prescription refills was also evaluated.ResultsThere were 1447 procedures (mean [SD] age, 54.4 [17.3] years; 66.9% female) before the default change and 1463 procedures (mean [SD] age, 54.5 [16.4] years; 67.0% female) after the default change. After the default change, the median number of opioid pills prescribed decreased from 30 (interquartile range, 15-30) to 20 (interquartile range, 12-30) per prescription (P < .001). The percentage of prescriptions written for 30 pills decreased from 39.7% (554 of 1397) before the default change to 12.9% (183 of 1420) after the default change (P < .001), and the percentage of prescriptions written for 12 pills increased from 2.1% (29 of 1397) before the default change to 24.6% (349 of 1420) after the default change (P < .001). Regression analysis demonstrated a decrease of 5.22 (95% CI, -6.12 to -4.32) opioid pills per prescription after the default change, for a total decrease of 34.41 (95% CI, -41.36 to -27.47) MME per prescription. There was no statistical difference in opioid refill rates (3.0% [4 of 135] before the default change vs 1.5% [2 of 135] after the default change, P = .41).Conclusions and relevanceLowering the default number of opioid pills prescribed in an EMR system is a simple, effective, cheap, and potentially scalable intervention to change prescriber behavior and decrease the amount of opioid medication prescribed after procedures.

Project description:PurposeTo identify targets for corrective interventions and guide improved opioid stewardship, we studied opioid prescribing patterns of attending surgeons compared with surgical trainees for 2 upper-extremity surgeries: open reduction internal fixation (ORIF) of distal radius fractures (DRF), and carpal tunnel release (CTR).MethodsWe retrospectively reviewed records for all patients who underwent CTR or DRF ORIF at 6 hospitals across a large health system from 2016 to 2018. We collected prescriber training level (attending vs trainee), analgesic prescribed, and amount initially prescribed after surgery converted to oral morphine equivalents (OMEs). Regression models evaluated OMEs by prescriber and surgery type. Our final models included an interaction term between prescriber training level and year of surgery to assess group changes over time. No prescription guidelines or formal training was provided during the study period.ResultsWe included 707 CTR and 383 DRF ORIF patients. Opioids prescribed by trainees ranged from 90 to 300 OMEs (median, 180 OMEs). Opioids prescribed by attendings ranged from 100 to 225 OMEs (median, 150 OMEs). Early in the analyses, trainees prescribed significantly more than attendings (320 versus 180). Over time, trainees reduced overprescribing significantly more, by an additional 40 OME/y. By the end of the analysis period, trainees were prescribing less OME than were attendings (112.5 vs 150). Both groups continued to prescribe more than recently suggested amounts for both procedures.ConclusionsOur study found that both attendings and trainees overprescribed opioids after surgery. Trainees prescribed more than attendings over the study period; however, when analyzing for improvement over time and with no formal intervention or training, trainees showed greater improvement, eventually dropping to levels at or below that of attendings. Considering that most change was seen at the trainee level, education for established providers may be an area in which more improvement can be made.Clinical relevanceUnderstanding which providers are more likely to overprescribe opioids can help guide interventions that improve opioid stewardship.

Project description:The opioid epidemic has been fueled by prescribing unnecessary quantities of opioid pills for postoperative use. While evidence mounts that postoperative opioids can be reduced or eliminated, implementing such changes within various institutions can be met with many barriers to adoption. To address excess opioid prescribing within our institutions, we applied a plan-do-study-act (PDSA)-like quality improvement strategy to assess local opioid prescribing and use, modify our institutional protocols, and assess the impacts of the change. The opioid epidemic has been fueled by prescribing unnecessary quantities of opioid pills for postoperative use. While evidence mounts that postoperative opioids can be reduced or eliminated, implementing such changes within various institutions can be met with many barriers to adoption. We describe our approach, findings, and lessons learned from our quality improvement approach. We prospectively recorded home pain pill usage after robotic-assisted laparoscopic prostatectomy (RALP) and robotic-assisted partial nephrectomy (RAPN) at two academic institutions from July 2016 to July 2019. Patients prospectively recorded their home pain pill use on a take-home log. Other factors, including numeric pain rating scale on the day of discharge, were extracted from patient records. We analyzed our data and modified opioid prescription protocols to meet the reported use data of 80% of patients. We continued collecting data after the protocol change. We also used our prospectively collected data to assess the accuracy of a retrospective phone survey designed to measure postdischarge opioid use. Our primary outcomes were the proportion of patients taking zero opioid pills postdischarge, median pills taken after discharge and the number of excess pills prescribed but not taken. We compared these outcomes before and after protocol change. A total of 266 patients (193 RALP, 73 RAPN) were included. Reducing the standard number of prescribed pills did not increase the percentage of patients taking zero pills postdischarge in either group (RALP: 47% vs. 41%; RAPN 48% vs. 34%). The patients in either group reporting postoperative Day 1 pain score of 0 or 1 were much more likely to use zero postdischarge opioid pills. Our reduction in prescribing protocol resulted in an estimated reduction in excess pills from 1555 excess pills in the prior protocol to just 155 excess pills in the new protocol. Our PDSA-like approach led to an acceptable protocol revision resulting in significant reductions in excess pills released into the community. Reducing the quantity of opioids prescribed postoperatively does not increase the percentage of patients taking zero pills postdischarge. To eliminate opioid use may require no-opioid pathways. Our approach can be used in implementing zero opioid discharge plans and can be applied to opioid reduction interventions at other institutions where barriers to reduced prescribing exist.

Dataset Information

Association of State Opioid Duration Limits With Postoperative Opioid Prescribing.

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Association of State Opioid Duration Limits With Postoperative Opioid Prescribing.

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