Dataset Information

Opioid e-prescribing trends at discharge in a large pediatric health system.

ABSTRACT: OBJECTIVE:Legitimate opioid prescriptions have been identified as a risk factor for opioid misuse in pediatric patients. In 2014, Pennsylvania legislation expanded a prescription drug monitoring program (PDMP) to curb inappropriate controlled substance prescriptions. The authors' objective was to describe recent opioid prescribing trends at a large, pediatric health system situated in a region with one of the highest opioid-related death rates in the United States and examine the impact of the PDMP on prescribing trends. DESIGN:Quasi-experimental assessment of trends of opioid e-prescriptions, from 2012 to 2017. Multivariable Poisson segmented regression examined the effect of the PDMP. Period prevalence comparison of opioid e-prescriptions across the care continuum in 2016. RESULTS:There were 62,661 opioid e-prescriptions identified during the study period. Combination opioid/non-opioid prescriptions decreased, while oxycodone prescriptions increased. Seasonal variation was evident. Of 110,884 inpatient encounters, multivariable regression demonstrated lower odds of an opioid being prescribed at discharge per month of the study period (p < 0.001) and a significant interaction between passage of the PDMP legislation and time (p = 0.03). Black patients had lower odds of receiving an opioid at discharge compared to white patients. Inpatients had significantly greater odds of receiving an opioid compared to emergency department (Prevalence Odds Ratio 7.1 [95% confidence interval: 6.9-7.3]; p < 0.001) and outpatient (398.9 [355.5-447.5]; p < 0.001) encounters. CONCLUSION:In a large pediatric health system, oxycodone has emerged as the most commonly prescribed opioid in recent years. Early evidence indicates that a state-run drug monitoring program is associated with reduced opioid prescribing. Additional study is necessary to examine the relationship between opioid prescriptions and race.

SUBMITTER: Horvat CM

PROVIDER: S-EPMC7049086 | biostudies-literature | 2019 Mar/Apr

REPOSITORIES: biostudies-literature

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Opioid e-prescribing trends at discharge in a large pediatric health system.

Horvat Christopher M CM Martin Brian B Wu Liwen L Fabio Anthony A Empey Phil E PE Hagos Fanuel F Bigelow Sheila S Kantawala Sajel S Au Alicia K AK Kochanek Patrick M PM Clark Robert S B RSB

Journal of opioid management 20190301 2

<h4>Objective</h4>Legitimate opioid prescriptions have been identified as a risk factor for opioid misuse in pediatric patients. In 2014, Pennsylvania legislation expanded a prescription drug monitoring program (PDMP) to curb inappropriate controlled substance prescriptions. The authors' objective was to describe recent opioid prescribing trends at a large, pediatric health system situated in a region with one of the highest opioid-related death rates in the United States and examine the impact ...[more]

PMID: 31343713

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Project description:BackgroundChronic opioid therapy for chronic pain treatment has increased. Hospital physicians, including hospitalists and medical/surgical resident physicians, care for many hospitalized patients, yet little is known about opioid prescribing at hospital discharge and future chronic opioid use.ObjectiveWe aimed to characterize opioid prescribing at hospital discharge among 'opioid naïve' patients. Opioid naïve patients had not filled an opioid prescription at an affiliated pharmacy 1 year preceding their hospital discharge. We also set out to quantify the risk of chronic opioid use and opioid refills 1 year post discharge among opioid naïve patients with and without opioid receipt at discharge.DesignThis was a retrospective cohort study.ParticipantsFrom 1 January 2011 to 31 December 2011, 6,689 opioid naïve patients were discharged from a safety-net hospital.Main measureChronic opioid use 1 year post discharge.Key resultsTwenty-five percent of opioid naïve patients (n?=?1,688) had opioid receipt within 72 hours of discharge. Patients with opioid receipt were more likely to have diagnoses including neoplasm (6.3% versus 3.5%, p?<?0.001), acute pain (2.7% versus 1.0 %, p?<?0.001), chronic pain at admission (12.1% versus 3.3%, p?<?0.001) or surgery during their hospitalization (65.1% versus 18.4%, p?<?0.001) compared to patients without opioid receipt. Patients with opioid receipt were less likely to have alcohol use disorders (15.7% versus 20.7%, p?<?0.001) and mental health disorders (23.9% versus 31.4%, p?<?0.001) compared to patients without opioid receipt. Chronic opioid use 1 year post discharge was more common among patients with opioid receipt (4.1% versus 1.3%, p?<?0.0001) compared to patients without opioid receipt. Opioid receipt was associated with increased odds of chronic opioid use (AOR?=?4.90, 95% CI 3.22-7.45) and greater subsequent opioid refills (AOR?=?2.67, 95% CI 2.29-3.13) 1 year post discharge compared to no opioid receipt.ConclusionOpioid receipt at hospital discharge among opioid naïve patients increased future chronic opioid use. Physicians should inform patients of this risk prior to prescribing opioids at discharge.

Project description:ImportancePostoperative opioid overprescribing leads to persistent opioid use and excess pills at risk for misuse and diversion. A learning health system paradigm using risk-stratified pancreatectomy clinical pathways (RSPCPs) may lead to reduction in inpatient and discharge opioid volume.ObjectiveTo analyze the outcomes of 2 iterative RSPCP updates on inpatient and discharge opioid volumes.Design, setting, and participantsThis cohort study included 832 consecutive adult patients at an urban comprehensive cancer center who underwent pancreatic resection between October 2016 and April 2022, comprising 3 sequential pathway cohorts (version [V] 1, October 1, 2016, to January 31, 2019 [n = 363]; V2, February 1, 2019, to October 31, 2020 [n = 229]; V3, November 1, 2020, to April 30, 2022 [n = 240]).ExposuresAfter V1 of the pathway established a baseline and reduced length of stay (n = 363), V2 (n = 229) updated patient and surgeon education handouts, limited intravenous opioids, suggested a 3-drug (acetaminophen, celecoxib, methocarbamol) nonopioid bundle, and implemented the 5×-multiplier (last 24-hour oral morphine equivalents [OME] multiplied by 5) to calculate discharge volume. Pathway version 3 (n = 240) required the nonopioid bundle as default in the recovery room and scheduled conversion to oral medications on postoperative day 1.Main outcomes and measuresInpatient and discharge opioid volume in OME across the 3 RSPCPs were compared using nonparametric testing and trend analyses.ResultsA total of 832 consecutive patients (median [IQR] age, 65 [56-72] years; 410 female [49.3%] and 422 male [50.7%]) underwent 541 pancreatoduodenectomies, 285 distal pancreatectomies, and 6 other pancreatectomies. Early nonopioid bundle administration increased from V1 (acetaminophen, 320 patients [88.2%]; celecoxib or anti-inflammatory, 98 patients [27.0%]; methocarbamol, 267 patients [73.6%]) to V3 (236 patients [98.3%], 163 patients [67.9%], and 238 patients [99.2%], respectively; P < .001). Total inpatient OME decreased from a median 290 mg (IQR, 157-468 mg) in V1 to 184 mg (IQR, 103-311 mg) in V2 to 129 mg (IQR, 75-206 mg) in V3 (P < .001). Discharge OME decreased from a median 150 mg (IQR, 100-225 mg) in V1 to 25 mg (IQR, 0-100 mg) in V2 to 0 mg (IQR, 0-50 mg) in V3 (P < .001). The percentage of patients discharged opioid free increased from 7.2% (26 of 363) in V1 to 52.5% (126 of 240) in V3 (P < .001), with 187 of 240 (77.9%) in V3 discharged with 50 mg OME or less. Median pain scores remained 3 or lower in all cohorts, with no differences in postdischarge refill requests. A subgroup analysis separating open and minimally invasive surgical cases showed similar results in both groups.Conclusions and relevanceIn this cohort study, the median total inpatient OME was halved and median discharge OME reduced to zero in association with a learning health system model of iterative opioid reduction that is freely adaptable by other hospitals. These findings suggest that opioid-free discharge after pancreatectomy and other major cancer operations is realistic and feasible with this no-cost blueprint.

Project description:ImportanceOverprescribing of opioids has generated and sustains the opioid overdose epidemic. Health systems have a responsibility to lead the effort to reduce overprescribing.ObjectiveTo measure the effects of multilevel interventions on opioid prescribing within a health system.Design, setting, and participantsQuality improvement study comparing a 6-month preintervention baseline with a 16-month postintervention period ending in April 2018. Inpatient and outpatient clinical activity within a regional health system including an acute care hospital, same-day surgery, and outpatient clinics. Opioid prescribing activity by hundreds of clinicians involving over a million clinical encounters was measured using a health system's electronic medical record.InterventionsMultiple parallel interventions in different domains, including prescriber education and accountability, enhanced oversight via measurement of individual prescribers, tools to right-size postoperative discharge prescriptions, reduction of default amounts on standard opioid prescription orders, and professionally written patient and public education about opioid risks and alternatives.Main outcomes and measuresMorphine milligram equivalents (MME) per encounter per month, MME per opioid prescription, and rate of opioid prescriptions (opioid prescriptions per encounter per month).ResultsMore than 44?000 clinical encounters per month were recorded. All baseline trends were not significantly different from 0. Total health system MME per encounter decreased 1.0 MME per encounter per month. At the end of the postintervention observation period, the monthly MME per encounter was 58% lower than the average of the 6-month baseline, the MME per opioid prescription per month was 34% less than the average of the baseline, and the opioid prescription rate was 38% lower than the average of the baseline.Conclusions and relevanceOpioid overprescribing was reduced with multifocal interventions targeting patient and public demand, creating prescriber awareness and accountability, and creating tools for clinical leadership accountability. The interventions described are adoptable by most organized health systems. Reducing total opioid supply within communities should be given high priority by those with a mission to protect and improve public health.

Project description:BackgroundMisuse of prescription opioids is a well-established contributor to the US opioid epidemic. The primary objective of this study was to identify which level of care delivery (ie patient, prescriber, or hospital) produced the most unwarranted variation in opioid prescribing after common surgical procedures.Study designElectronic health record data from a large multihospital healthcare system were used in conjunction with random-effect models to examine variation in opioid prescribing practices after similar inpatient and outpatient surgical procedures between October 2019 and September 2021. Unwarranted variation was conceptualized as variation resulting from prescriber behavior unsupported by evidence. Covariates identified as drivers of warranted variation included characteristics known to influence pain levels or patient safety. All other model variables, including prescriber specialty and patient race, ethnicity, and insurance status were characterized as potential drivers of unwarranted variation.ResultsAmong 25,188 procedures with an opioid prescription at hospital discharge, 53.5% exceeded guideline recommendations, corresponding to 13,228 patients receiving the equivalent of >140,000 excess 5 mg oxycodone tablets after surgical procedures. Prescribing variation was primarily driven by prescriber-level factors, with approximately half of the total variation in morphine milligram equivalents prescribed observed at the prescriber level and not explained by any measured variables. Unwarranted covariates associated with higher prescribed opioid quantity included non-Hispanic Black race, Medicare insurance, smoking history, later hospital discharge times, and prescription by a surgeon rather than a hospitalist or primary care provider.ConclusionsGiven the large proportion of unexplained variation observed at the provider level, targeting prescribers through education and training may be an effective strategy for reducing postoperative opioid prescribing.

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Opioid e-prescribing trends at discharge in a large pediatric health system.

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Opioid e-prescribing trends at discharge in a large pediatric health system.

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