scholarly journals Postoperative opioid prescribing patterns and use after vascular surgery

2018 ◽  
Vol 24 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Ilsley B Colton ◽  
Mayo H Fujii ◽  
Thomas P Ahern ◽  
Charles D MacLean ◽  
Julie E Lahiri ◽  
...  
Keyword(s):  
Vascular Surgery ◽  
Best Practice ◽  
Medical Center ◽  
Academic Medical Center ◽  
Prescribing Patterns ◽  
Opioid Use ◽  
Patient Centered ◽  
Opioid Prescription ◽  
Opioid Prescribing ◽  
Prescribing Practice

The aim of this study was to assess postoperative opioid prescribing patterns, usage, and pain control after common vascular surgery procedures in order to develop patient centered best-practice guidelines. We performed a prospective review of opioid prescribing after seven common vascular surgeries at a rural, academic medical center from December 2016 to July 2017. A standardized telephone questionnaire was prospectively administered to patients ( n = 110) about opioid use and pain management perceptions. For comparison we retrospectively assessed opioid prescribing patterns ( n = 939) from July 2014 to June 2016 normalized into morphine milligram equivalents (MME). Prescribers were surveyed regarding opioid prescription attitudes, perceptions, and practices. Opioids were prescribed for 78% of procedures, and 70% of patients reported using opioid analgesia. In the prospective group, the median MMEs prescribed were: VEIN (31, n = 16), CEA (40, n = 14), DIAL (60, n = 17), EVAR (108, n = 8), INFRA (160, n = 16), FEM TEA (200, n = 11), and OA (273, n = 4). The median proportion of opioids used by patients across all procedures was only 30% of the amount prescribed across all procedures (range 14–64%). Patients rated the opioid prescribed as appropriate (59%), insufficient (16%), and overprescribed (25%), and pain as very well controlled (47%), well controlled (47%), poorly controlled (4%), and very poorly controlled (2%). In conclusion, we observed significant variability in opioid prescribing after vascular procedures. The overall opioid use was substantially lower than the amount prescribed. These data enabled us to develop guidelines for opioid prescribing practice for our patients.

scholarly journals Evaluation of a novel metric for personalized opioid prescribing after hospitalization

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244735
Author(s):  
Nicholas R. Iverson ◽  
Catherine Y. Lau ◽  
Yumiko Abe-Jones ◽  
Margaret C. Fang ◽  
Kirsten N. Kangelaris ◽  
...  
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Absolute Difference ◽  
Opioid Use ◽  
Patient Centered ◽  
Electronic Health Record Data ◽  
Opioid Prescription ◽  
Academic Medical ◽  
Maximum Absolute Difference ◽  
Marked Variability

Background The duration of an opioid prescribed at hospital discharge does not intrinsically account for opioid needs during a hospitalization. This discrepancy may lead to patients receiving much larger supplies of opioids on discharge than they truly require. Objective Assess a novel discharge opioid supply metric that adjusts for opioid use during hospitalization, compared to the conventional discharge prescription signature. Design, setting, & participants Retrospective study using electronic health record data from June 2012 to November 2018 of adults who received opioids while hospitalized and after discharge from a single academic medical center. Measures & analysis We ascertained inpatient opioids received and milligrams of opioids supplied after discharge, then determined days of opioids supplied after discharge by the conventional prescription signature opioid-days (“conventional days”) and novel hospital-adjusted opioid-days (“adjusted days”) metrics. We calculated descriptive statistics, within-subject difference between measurements, and fold difference between measures. We used multiple linear regression to determine patient-level predictors associated with high difference in days prescribed between measures. Results The adjusted days metric demonstrates a 2.4 day median increase in prescription duration as compared to the conventional days metric (9.4 vs. 7.0 days; P<0.001). 95% of all adjusted days measurements fall within a 0.19 to 6.90-fold difference as compared to conventional days measurements, with a maximum absolute difference of 640 days. Receiving a liquid opioid prescription accounted for an increased prescription duration of 135.6% by the adjusted days metric (95% CI 39.1–299.0%; P = 0.001). Of patients who were not on opioids prior to admission and required opioids during hospitalization but not in the last 24 hours, 325 (8.6%) were discharged with an opioid prescription. Conclusions The adjusted days metric, based on inpatient opioid use, demonstrates that patients are often prescribed a supply lasting longer than the prescription signature suggests, though with marked variability for some patients that suggests potential under-prescribing as well. Adjusted days is more patient-centered, reflecting the reality of how patients will take their prescription rather than providers’ intended prescription duration.

scholarly journals Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study

10.2196/24360 ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. e24360
Author(s):  
Benjamin Heritier Slovis ◽  
Jeffrey M Riggio ◽  
Melanie Girondo ◽  
Cara Martino ◽  
Bracken Babula ◽  
...  
Keyword(s):  
The United States ◽  
Prescribing Patterns ◽  
Duration Of Treatment ◽  
Opioid Prescription ◽  
Hospital System ◽  
Opioid Prescribing ◽  
Before And After ◽  
Control And Prevention ◽  
Prescribing Practice ◽  
Quasi Experimental

Background The United States is in an opioid epidemic. Passive decision support in the electronic health record (EHR) through opioid prescription presets may aid in curbing opioid dependence. Objective The objective of this study is to determine whether modification of opioid prescribing presets in the EHR could change prescribing patterns for an entire hospital system. Methods We performed a quasi-experimental retrospective pre–post analysis of a 24-month period before and after modifications to our EHR’s opioid prescription presets to match Centers for Disease Control and Prevention guidelines. We included all opioid prescriptions prescribed at our institution for nonchronic pain. Our modifications to the EHR include (1) making duration of treatment for an opioid prescription mandatory, (2) adding a quick button for 3 days’ duration while removing others, and (3) setting the default quantity of all oral opioid formulations to 10 tablets. We examined the quantity in tablets, duration in days, and proportion of prescriptions greater than 90 morphine milligram equivalents/day for our hospital system, and compared these values before and after our intervention for effect. Results There were 78,246 prescriptions included in our study written on 30,975 unique patients. There was a significant reduction for all opioid prescriptions pre versus post in (1) the overall median quantity of tablets dispensed (54 [IQR 40-120] vs 42 [IQR 18-90]; P<.001), (2) median duration of treatment (10.5 days [IQR 5.0-30] vs 7.5 days [IQR 3.0-30]; P<.001), and (3) proportion of prescriptions greater than 90 morphine milligram equivalents/day (27.46% [10,704/38,976; 95% CI 27.02%-27.91%] vs 22.86% [8979/39,270; 95% CI 22.45%-23.28%]; P<.001). Conclusions Modifications of opioid prescribing presets in the EHR can improve prescribing practice patterns. Reducing duration and quantity of opioid prescriptions could reduce the risk of dependence and overdose.

Current Opioid Prescribing Patterns after Microdirect Laryngoscopy

2019 ◽  
Vol 129 (2) ◽  
pp. 142-148 ◽  
Author(s):  
Molly N. Huston ◽  
Rouya Kamizi ◽  
Tanya K. Meyer ◽  
Albert L. Merati ◽  
John Paul Giliberto
Keyword(s):  
The United States ◽  
Opioid Abuse ◽  
Prescribing Patterns ◽  
Opioid Analgesia ◽  
Opioid Use ◽  
Prescribing Practices ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Opioid Prescription ◽  
Opioid Prescribing

Background: The prevalence of opioid abuse has become epidemic in the United States. Microdirect laryngoscopy (MDL) is a common otolaryngological procedure, yet prescribing practices for opioids following this operation are not well characterized. Objective: To characterize current opioid-prescribing patterns among otolaryngologists performing MDL. Methods: A cross-sectional survey of otolaryngologists at a national laryngology meeting. Results: Fifty-eight of 205 physician registrants (response rate 28%) completed the survey. Fifty-nine percent of respondents were fellowship-trained in laryngology. Respondents performed an average of 13.3 MDLs per month. Thirty-four percent of surgeons prescribe opioids for over two-thirds of their MDLs, while only 7% of surgeons never prescribe opioids. Eighty-eight percent of surgeons prescribed a combination opioid and acetaminophen compound, hydrocodone being the most common opioid component. Many surgeons prescribe non-opioid analgesics as well, with 70% and 84% of surgeons recommending acetaminophen and ibuprofen after MDL respectively. When opioids were prescribed, patient preference, difficult exposure and history of opioid use were the most influential patient factors. Concerns of opioid abuse, the physician role in the opioid crisis, and literature about postoperative non-opioid analgesia were also underlying themes in influencing opioid prescription patterns after MDL. Conclusions: In this study, over 90% of practicing physicians surveyed are prescribing opioids after MDL, though many are also prescribing non-opioid analgesia as well. Further studies should be completed to investigate the needs of patients following MDL in order to allow physicians to selectively and appropriately prescribe opioid analgesia postoperatively.

scholarly journals Perioperative Factors Associated With Chronic Opioid Use After Spine Surgery

2021 ◽  
pp. 219256822110357
Author(s):  
Eric Y. Montgomery ◽  
Mark N. Pernik ◽  
Zachary D. Johnson ◽  
Luke J. Dosselman ◽  
Zachary K. Christian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Spine Surgery ◽  
Medical Center ◽  
Lumbar Fusion ◽  
Academic Medical Center ◽  
Opioid Use ◽  
Retrospective Case ◽  
Opioid Prescription ◽  
Factors Associated ◽  
Chronic Opioid Use

Study Design: Retrospective case control. Objectives: The purpose of the current study is to determine risk factors associated with chronic opioid use after spine surgery. Methods: In our single institution retrospective study, 1,299 patients undergoing elective spine surgery at a tertiary academic medical center between January 2010 and August 2017 were enrolled into a prospectively collected registry. Patients were dichotomized based on renewal of, or active opioid prescription at 3-mo and 12-mo postoperatively. The primary outcome measures were risk factors for opioid renewal 3-months and 12-months postoperatively. These primarily included demographic characteristics, operative variables, and in-hospital opioid consumption via morphine milligram equivalence (MME). At the 3-month and 12-month periods, we analyzed the aforementioned covariates with multivariate followed by bivariate regression analyses. Results: Multivariate and bivariate analyses revealed that script renewal at 3 months was associated with black race ( P = 0.001), preoperative narcotic ( P < 0.001) or anxiety/depression medication use ( P = 0.002), and intraoperative long lumbar ( P < 0.001) or thoracic spine surgery ( P < 0.001). Lower patient income was also a risk factor for script renewal ( P = 0.01). Script renewal at 12 months was associated with younger age ( P = 0.006), preoperative narcotics use ( P = 0.001), and ≥4 levels of lumbar fusion ( P < 0.001). Renewals at 3-mo and 12-mo had no association with MME given during the hospital stay or with the usage of PCA ( P > 0.05). Conclusion: The current study describes multiple patient-level factors associated with chronic opioid use. Notably, no metric of perioperative opioid utilization was directly associated with chronic opioid use after multivariate analysis.

Developing opioid prescribing recommendations in the postoperative orthopedic setting

2019 ◽  
Vol 15 (4) ◽  
pp. 333-341
Author(s):  
Daniel K. Haddad, PharmD ◽  
Orrin H. Sherman, MD
Keyword(s):  
Postoperative Pain ◽  
Best Practice ◽  
Opioid Analgesics ◽  
Postoperative Pain Management ◽  
The United States ◽  
Opioid Use Disorder ◽  
Prescribing Patterns ◽  
Opioid Use ◽  
High Quality Research ◽  
Opioid Prescribing

Background: The use of opioid analgesics in the United States has increased nearly fourfold since 1999 resulting in a similar increase in opioid-related overdose deaths. Although the Centers for Disease Control published guidelines for prescribing chronic opioids, there is a lack of guidance for prescribing postoperative opioids. Objective: To offer an evidence-based approach to prescribing opioids for postoperative pain management in the orthopedic setting.Methods: A narrative review was performed of studies evaluating and quantifying opioid use in orthopedic patients in the postoperative setting, as well as studies analyzing patient satisfaction and perception with regards to opioid use.Results: Studies show that postoperative pain may not be the largest contributing factor to developing an opioid use disorder, but rather patient factors such as tobacco and substance use disorder, mental health disorders, anxiety, mood disorders, pre-existing chronic pain, and recent opioid use may play a role. The review also found that most patients do not utilize significant portions of prescribed opioids and most do not require a refill. This trend leaves patients with thousands of unused pills, which are either retained, shared, or diverted. Although there is no guideline for prescribing opioids postoperatively, data suggest that clinicians can prescribe smaller dosages and fewer quantities of opioids initially. There are also non-opioid strategies that can be employed to reduce opioid consumption.Conclusion: There is a need for more high quality research to be conducted to standardize postoperative opioid prescribing patterns and create best practice guidelines to guide clinicians. Orthopedic practices should consider creating institutional guidelines to reduce the amount of opioids prescribed.

scholarly journals Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study (Preprint)

2020 ◽  
Author(s):  
Benjamin Heritier Slovis ◽  
Jeffrey M Riggio ◽  
Melanie Girondo ◽  
Cara Martino ◽  
Bracken Babula ◽  
...  
Keyword(s):  
The United States ◽  
Prescribing Patterns ◽  
Duration Of Treatment ◽  
Opioid Prescription ◽  
Hospital System ◽  
Opioid Prescribing ◽  
Before And After ◽  
Control And Prevention ◽  
Prescribing Practice ◽  
Quasi Experimental

BACKGROUND The United States is in an opioid epidemic. Passive decision support in the electronic health record (EHR) through opioid prescription presets may aid in curbing opioid dependence. OBJECTIVE The objective of this study is to determine whether modification of opioid prescribing presets in the EHR could change prescribing patterns for an entire hospital system. METHODS We performed a quasi-experimental retrospective pre–post analysis of a 24-month period before and after modifications to our EHR’s opioid prescription presets to match Centers for Disease Control and Prevention guidelines. We included all opioid prescriptions prescribed at our institution for nonchronic pain. Our modifications to the EHR include (1) making duration of treatment for an opioid prescription mandatory, (2) adding a quick button for 3 days’ duration while removing others, and (3) setting the default quantity of all oral opioid formulations to 10 tablets. We examined the quantity in tablets, duration in days, and proportion of prescriptions greater than 90 morphine milligram equivalents/day for our hospital system, and compared these values before and after our intervention for effect. RESULTS There were 78,246 prescriptions included in our study written on 30,975 unique patients. There was a significant reduction for all opioid prescriptions pre versus post in (1) the overall median quantity of tablets dispensed (54 [IQR 40-120] vs 42 [IQR 18-90]; <i>P</i>&lt;.001), (2) median duration of treatment (10.5 days [IQR 5.0-30] vs 7.5 days [IQR 3.0-30]; <i>P</i>&lt;.001), and (3) proportion of prescriptions greater than 90 morphine milligram equivalents/day (27.46% [10,704/38,976; 95% CI 27.02%-27.91%] vs 22.86% [8979/39,270; 95% CI 22.45%-23.28%]; <i>P</i>&lt;.001). CONCLUSIONS Modifications of opioid prescribing presets in the EHR can improve prescribing practice patterns. Reducing duration and quantity of opioid prescriptions could reduce the risk of dependence and overdose.

scholarly journals Physician Responses to the Opioid Epidemic in the Context of Population-­Based Pain and Opioid Care

Commonwealth ◽  
2018 ◽  
Vol 20 (2-3) ◽  
Author(s):  
Ajay D. Wasan
Keyword(s):  
Best Practice ◽  
Medical Center ◽  
Health Care Systems ◽  
Population Based ◽  
Prescribing Patterns ◽  
Prescription Opioid ◽  
Opioid Epidemic ◽  
Opioid Use ◽  
University Of Pittsburgh ◽  
The University

The opioid epidemic is a multifaceted phenomenon in which the prescription of opioids for pain still plays a significant role. However, a plethora of efforts in the physician community following many years of epidemiological research regarding patterns and characteristics of prescription opioid misuse, abuse, and addiction have led to best practice guidelines agreed upon widely. Adoption of these guidelines and specific changes across health care systems and in individual provider practices have resulted in improved opioid prescribing patterns, which are safer and no less effective in addressing pain. The experience at the University of Pittsburgh and the University of Pittsburgh Medical Center is highlighted as an example of progressive change to address the simultaneous epidemics of poorly controlled chronic pain affecting 100 million adults in this country and prescription opioid use disorders affecting 2.2 million adults.

scholarly journals The association of multimodal analgesia and high-risk opioid discharge prescriptions in opioid-naive surgical patients

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Erica Langnas ◽  
Rosa Rodriguez-Monguio ◽  
Yanting Luo ◽  
Rhiannon Croci ◽  
R. Adams Dudley ◽  
...  
Keyword(s):  
High Risk ◽  
Hospital Discharge ◽  
Medical Center ◽  
Academic Medical Center ◽  
Multimodal Analgesia ◽  
Surgical Patients ◽  
Surgical Patient ◽  
Opioid Use ◽  
Opioid Prescription ◽  
Analgesic Agents

Abstract Background Opioids and multimodal analgesia are widely administered to manage postoperative pain. However, little is known on how improvements in inpatient pain control are correlated with high-risk (> 90 daily OME) discharge opioid prescriptions for opioid naïve surgical patients. Methods We conducted a retrospective observational study of adult opioid-naïve patients undergoing surgery from June 2012 through December 2018 at a large academic medical center. We used multivariate logistic regression to assess whether multimodal analgesic drugs consumed in the 24 h prior to discharge was associated with a reduction in high-risk opioid discharge prescriptions. We identified other risk factors for receiving a high-risk discharge opioid prescription. Results Among the 32,511 patients, 83% of patients were discharged with an opioid prescription. In 2013, 34.1% of patients with a discharge opioid prescription received a high-risk prescription and this declined to 17.7% by 2018. Use of multimodal analgesic agents during the final 24 h of hospitalization increased each year, with over 80% receiving at least one multimodal analgesic agent by 2018. The median OME consumed in the 24 h prior to discharge peaked in 2013 at 31 and steadily decreased to 19.8 by 2018. There was a significant association between the use of acetaminophen in the 24 h prior to discharge and a high-risk prescription at discharge (p < 0.01). OMEs consumed in the 24 h prior to discharge was a significant predictor of receiving a high-risk discharge prescription, even at low doses. Other factors associated with receipt of a high-risk discharge opioid prescription included male gender, race, history of anxiety disorder, and discharge service. Discussion Use of multimodal analgesia regimens in hospitalized surgical patients in the 24 h prior to hospital discharge increased between 2012 and 2018. Simultaneously, opioid use prior to hospital discharge decreased. Despite these gains, approximately one in five discharge prescriptions was high-risk (> 90 daily OME). In addition, we found that prescribing of discharge opioids above inpatient opioid requirements remains common in opioid naive surgical patients. Conclusion Providers should account for pre-discharge opioid consumption and use of multimodal analgesia when considering the total and daily OME’s that may be appropriate for an individual surgical patient on the discharge opioid prescription.

Opioid crisis in primary care? An audit of high-dose opioid prescribing at Bangholm GP Practice

2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711581
Author(s):  
Charlotte Greene ◽  
Alice Pearson
Keyword(s):  
Chronic Pain ◽  
Back Pain ◽  
Practice Guidelines ◽  
Best Practice ◽  
Evidence Base ◽  
High Dose ◽  
Opioid Prescription ◽  
Opioid Prescribing ◽  
Best Practice Guidelines

BackgroundOpioids are effective analgesics for acute and palliative pain, but there is no evidence base for long-term pain relief. They also carry considerable risks such as overdose and dependence. Despite this, they are increasingly prescribed for chronic pain. In the UK, opioid prescribing more than doubled between 1998 and 2018.AimAn audit at Bangholm GP Practice to understand the scale of high-strength opioid prescribing. The aim of the audit was to find out if indications, length of prescription, discussion, and documentation at initial consultation and review process were consistent with best-practice guidelines.MethodA search on Scottish Therapeutics Utility for patients prescribed an average daily dose of opioid equivalent ≥50 mg morphine between 1 July 2019 and 1 October 2019, excluding methadone, cancer pain, or palliative prescriptions. The Faculty of Pain Medicine’s best-practice guidelines were used.ResultsDemographics: 60 patients (37 females), average age 62, 28% registered with repeat opioid prescription, 38% comorbid depression. Length of prescription: average 6 years, 57% >5 years, 22% >10 years. Opioid: 52% tramadol, 23% on two opioids. Indications: back pain (42%), osteoarthritis (12%), fibromyalgia (10%). Initial consultation: 7% agreed outcomes, 35% follow-up documented. Review: 56% 4-week, 70% past year.ConclusionOpioid prescribing guidelines are not followed. The significant issues are: long-term prescriptions for chronic pain, especially back pain; new patients registering with repeat prescriptions; and no outcomes of treatment agreed, a crucial message is the goal is pain management rather than relief. Changes have been introduced at the practice: a patient information sheet, compulsory 1-month review for new patients on opioids, and in-surgery pain referrals.

American Academy of Otolaryngology–Head and Neck Surgery/Foundation Reg-ent Registry: Purpose, Properties, and Priorities

2021 ◽  
pp. 019459982098413
Author(s):  
Cecelia E. Schmalbach ◽  
Jean Brereton ◽  
Cathlin Bowman ◽  
James C. Denneny
Keyword(s):  
American Academy ◽  
Head And Neck ◽  
Best Practice ◽  
Medical Center ◽  
Quality Care ◽  
Academic Medical Center ◽  
Neck Surgery ◽  
Performance Measure ◽  
Head And Neck Surgery ◽  
Evidence Based

Objective (1) To describe the patient and membership cohort captured by the otolaryngology-based specialty-specific Reg-ent registry. (2) To outline the capabilities of the Reg-ent registry, including the process by which members can access evidence-based data to address knowledge gaps identified by the American Academy of Otolaryngology–Head and Neck Surgery/Foundation and ultimately define “quality” for our field of otolaryngology–head and neck surgery. Methods Data analytics was performed on Reg-ent (2015-2020) Results A total of 1629 participants from 239 practices were enrolled in Reg-ent, and 42 health care specialties were represented. Reg-ent encompassed 6,496,477 unique patients and 24,296,713 encounters/visits: the 45- to 64-year age group had the highest representation (n = 1,597,618, 28.1%); 3,867,835 (60.3%) patients identified as Caucasian; and “private” was the most common insurance (33%), followed by Blue Cross/Blue Shield (22%). Allergic rhinitis–unspecified and sensorineural hearing loss–bilateral were the top 2 diagnoses (9% each). Overall, 302 research gaps were identified from 17 clinical practice guidelines. Discussion Reg-ent benefits are vast—from monitoring one’s practice to defining otolaryngology–head and neck surgery quality, participating in advocacy, and conducting research. Reg-ent provides mechanisms for benchmarking, quality assessment, and performance measure development, with the objective of defining and guiding best practice in otolaryngology–head and neck surgery. To be successful, patient diversity must be achieved to include ethnicity and socioeconomic status. Increasing academic medical center membership will assist in achieving diversity so that the quality domain of equitable care is achieved. Implications for Practice Reg-ent provides the first ever registry that is specific to otolaryngology–head and neck surgery and compliant with HIPAA (Health Insurance Portability and Accountability Act) to collect patient outcomes and define evidence-based quality care.

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