Hospital Prescribing of Opioids to Medicare Beneficiaries

Opioid Administration Practice Patterns in Patients With Acute Respiratory Failure Who Undergo Invasive Mechanical Ventilation

IMPORTANCE

The opioid crisis is impacting people across the country and deserves attention to be able to curb the rise in opioid-related deaths.

OBJECTIVES

To evaluate practice patterns in opioid infusion administration and dosing for patients with acute respiratory failure receiving invasive mechanical ventilation.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Patients from 21 hospitals in Kaiser Permanente Northern California and 96 hospitals in Philips electronic ICU Research Institute.

MAIN OUTCOMES AND MEASURES

We assessed whether patients received opioid infusion and the dose of said opioid infusion.

RESULTS

We identified patients with a diagnosis of acute respiratory failure who were initiated on invasive mechanical ventilation. From each patient, we determined if opioid infusions were administered and, among those who received an opioid infusion, the median daily dose of fentanyl infusion. We used hierarchical regression models to quantify variation in opioid infusion use and the median daily dose of fentanyl equivalents across hospitals. We included 13,140 patients in the KPNC cohort and 52,033 patients in the eRI cohort. A total of 7,023 (53.4%) and 16,311 (31.1%) patients received an opioid infusion in the first 21 days of mechanical ventilation in the KPNC and eRI cohorts, respectively. After accounting for patient- and hospital-level fixed effects, the hospital that a patient was admitted to explained 7% (95% CI, 3-11%) and 39% (95% CI, 28-49%) of the variation in opioid infusion use in the KPNC and eRI cohorts, respectively. Among patients who received an opioid infusion, the median daily fentanyl equivalent dose was 692 µg (interquartile range [IQR], 129-1341 µg) in the KPNC cohort and 200 µg (IQR, 0-1050 µg) in the eRI cohort. Hospital explained 4% (95% CI, 1-7%) and 20% (95% CI, 15-26%) of the variation in median daily fentanyl equivalent dose in the KPNC and eRI cohorts, respectively.

CONCLUSIONS AND RELEVANCE

In the context of efforts to limit healthcare-associated opioid exposure, our findings highlight the considerable opioid exposure that accompanies mechanical ventilation and suggest potential under and over-treatment with analgesia. Our results facilitate benchmarking of hospitals' analgesia practices against risk-adjusted averages and can be used to inform usual care control arms of analgesia and sedation clinical trials.

Predictors of persistent opioid use in bladder cancer patients undergoing radical cystectomy: A SEER-Medicare analysis

PURPOSE

To evaluate patient and provider characteristics that predict persistent opioid use following radical cystectomy for bladder cancer including non-opioid naïve patients.

METHODS

Patients undergoing cystectomy between July 2007 and December 2015 were identified using the SEER-Medicare database. Opioid exposure was identified before and after cystectomy using Medicare Part D data. Multivariable analyses were used to identify predictors of the primary outcomes: persistent opioid use (prescription 3-6 months after surgery) and postoperative opioid prescriptions (within 30 days of surgery). Secondary outcomes included physician prescribing practices and rates of persistent opioid use in their patient cohorts.

RESULTS

A total of 1,774 patients were included; 29% had prior opioid exposure. Compared to opioid-naïve patients, non-opioid naïve patients were more frequently younger, Black, and living in less educated communities. The percentage of persistent postoperative use was 10% overall and 24% in non-opioid naïve patients. Adjusting for patient factors, opioid naïve individuals were less likely to develop persistent use (OR 0.23) while a 50-unit increase in oral morphine equivalent per day prescribed following surgery nearly doubled the likelihood of persistent use (OR 1.98). Practice factors such as hospital size, teaching affiliation, and hospital ownership failed to predict persistent use. 29% of patients filled an opioid prescription postoperatively. Opioid naïve patients (OR 0.13) and those cared for at government hospitals (OR 0.59) were less likely to fill an opioid script along with those residing in the Northeast. Variability between physicians was seen in prescribing practices and rates of persistent use.

CONCLUSIONS

Non-opioid naïve patients have higher rates of post-operative opioid prescription than opioid-naïve patients. Physician prescribing practices play a role in persistent use, as initial prescription amount predicts persistent use even in non-opioid naïve patients. Significant physician variation in both prescribing practices and rates of persistent use suggest a role for standardizing practices.

Racial and Ethnic Disparities in Opioid Prescribing on Hospital Discharge Among Older Adults: A National Retrospective Cohort Study

BACKGROUND

Disparities in opioid prescribing among racial and ethnic groups have been observed in outpatient and emergency department settings, but it is unknown whether similar disparities exist at discharge among hospitalized older adults.

OBJECTIVE

To determine filled opioid prescription rates on hospital discharge by race/ethnicity among Medicare beneficiaries.

DESIGN

Retrospective cohort study.

PARTICIPANTS

Medicare beneficiaries 65 years or older discharged from hospital in 2016, without opioid fills in the 90 days prior to hospitalization (opioid-naïve).

MAIN MEASURES

Race/ethnicity was categorized by the Research Triangle Institute (RTI), grouped as Asian/Pacific Islander, Black, Hispanic, other (American Indian/Alaska Native/unknown/other), and White. The primary outcome was an opioid prescription claim within 2 days of hospital discharge. The secondary outcome was total morphine milligram equivalents (MMEs) among adults with a filled opioid prescription.

KEY RESULTS

Among 316,039 previously opioid-naïve beneficiaries (mean age, 76.8 years; 56.2% female), 49,131 (15.5%) filled an opioid prescription within 2 days of hospital discharge. After adjustment, Black beneficiaries were 6% less likely (relative risk [RR] 0.94, 95% CI 0.91-0.97) and Asian/Pacific Islander beneficiaries were 9% more likely (RR 1.09, 95% CI 1.03-1.14) to have filled an opioid prescription when compared to White beneficiaries. Among beneficiaries with a filled opioid prescription, mean total MMEs were lower among Black (356.9; adjusted difference - 4%, 95% CI - 7 to - 1%), Hispanic (327.0; adjusted difference - 7%, 95% CI - 10 to - 4%), and Asian/Pacific Islander (328.2; adjusted difference - 8%, 95% CI - 12 to - 4%) beneficiaries when compared to White beneficiaries (409.7).

CONCLUSIONS AND RELEVANCE

Black older adults were less likely to fill a new opioid prescription after hospital discharge when compared to White older adults and received lower total MMEs. The factors contributing to these differential prescribing patterns should be investigated further.

Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid

OBJECTIVES

Fibromyalgia is frequently treated with opioids due to limited therapeutic options. Long-term opioid use is associated with several adverse outcomes. Identifying factors associated with long-term opioid use is the first step in developing targeted interventions. The aim of this study was to evaluate risk factors in fibromyalgia patients newly initiated on opioids using machine learning.

METHODS

A retrospective cohort study was conducted using a nationally representative primary care dataset from the UK, from the Clinical Research Practice Datalink. Fibromyalgia patients without prior cancer who were new opioid users were included. Logistic regression, a random forest model and Boruta feature selection were used to identify risk factors related to long-term opioid use. Adjusted ORs (aORs) and feature importance scores were calculated to gauge the strength of these associations.

RESULTS

In this study, 28 552 fibromyalgia patients initiating opioids were identified of which 7369 patients (26%) had long-term opioid use. High initial opioid dose (aOR: 31.96, mean decrease accuracy (MDA) 135), history of self-harm (aOR: 2.01, MDA 44), obesity (aOR: 2.43, MDA 36), high deprivation (aOR: 2.00, MDA 31) and substance use disorder (aOR: 2.08, MDA 25) were the factors most strongly associated with long-term use.

CONCLUSIONS

High dose of initial opioid prescription, a history of self-harm, obesity, high deprivation, substance use disorder and age were associated with long-term opioid use. This study underscores the importance of recognising these individual risk factors in fibromyalgia patients to better navigate the complexities of opioid use and facilitate patient-centred care.

Characterization of Opioid Use in the Intensive Care Unit and Its Impact Across Care Transitions: A Prospective Study

Purpose: The objective of this study is to characterize opioid intensity in the intensive care unit (ICU) and its association with opioid utilization across care transitions. Methods: This is a prospective cohort study. Medically ill ICU patients with complete medication histories who survived to discharge were included. Opioid intensity was characterized based on IV morphine milligram equivalents (IV MME). Primary outcomes were opioid prescribing upon ICU and hospital discharge. Results: Opioids were prescribed to 34.1% and 31.1% of patients upon ICU and hospital discharge. Within the ≥50 mean IV MME/ICU day cohort, 64.7% of patients received opioids after ICU discharge compared to 45.8% and 13.6% in the 1-49 mean IV MME/ICU day and no opioid groups (P < .05). Within the ≥50 mean IV MME/ICU day cohort, 70.6% of patients were prescribed opioids after hospitalization compared to 37.3% and 13.6% of patients who received less or no opioids. (P < .05). Within the ≥50 mean IV MME/ICU day cohort, 29.4% of patients were opioid naïve and discharged with an opioid, which is over double compared to patients with lower opioid requirements (P < .05). Conclusion: Patients with higher mean daily ICU opioid requirements had increased opioid prescribing across care transitions despite preadmission opioid use.

The Effect of Preoperative Exposure to Benzodiazepines on Opioid Consumption After One and Two-level Anterior Cervical Discectomy and Fusion

STUDY DESIGN

Retrospective cohort.

OBJECTIVE

Investigate the relationship between preoperative benzodiazepine exposure and postoperative opioid use in patients undergoing primary 1 or 2-level anterior cervical discectomy and fusion (ACDF).

BACKGROUND

Little is known about the effect of preoperative benzodiazepine exposure on postoperative opioid use in spine surgery.

PATIENTS AND METHODS

Patients undergoing primary 1 or 2-level ACDF at a single institution from February 2020 to November 2021 were identified through electronic medical records. The prescription drug monitoring program was utilized to record the name, dosage, and quantity of preoperative benzodiazepines/opioids filled within 60 days before surgery and postoperative opioids 6 months after surgery. Patients were classified as benzodiazepine naïve or exposed according to preoperative usage, and postoperative opioid dose and duration were compared between groups. Regression analysis was performed for outcomes that demonstrated statistical significance, adjusting for preoperative opioid use, age, sex, and body mass index.

RESULTS

Sixty-seven patients comprised the benzodiazepine-exposed group whereas 90 comprised the benzodiazepine-naïve group. There was no significant difference in average daily morphine milligram equivalents between groups (median: 96.0 vs 65.0, P = 0.11). The benzodiazepine-exposed group received postoperative opioids for a longer duration (median: 32.0 d vs 12.0 d, P = 0.004) with more prescriptions (median: 2.0 vs 1.0, P = 0.004) and a greater number of pills (median: 110.0 vs 59.0, P = 0.007). On regression analysis, preoperative benzodiazepine use was not significantly associated with postoperative opioid duration [incidence rate ratio (IRR): 0.93, P = 0.74], number of prescriptions (IRR: 1.21, P = 0.16), or number of pills (IRR: 0.89, P = 0.58).

CONCLUSIONS

While preoperative benzodiazepine users undergoing primary 1 or 2-level ACDF received postoperative opioids for a longer duration compared with a benzodiazepine naïve cohort, preoperative benzodiazepine use did not independently contribute to this observation. These findings provide insight into the relationship between preoperative benzodiazepine use and postoperative opioid consumption.

LEVEL OF EVIDENCE

Level III.

Opioid Utility and Hospital Outcomes Among Inpatients Admitted With Osteoarthritis and Spine Disorders

OBJECTIVE

The aim of the study is to evaluate opioid analgesic utilization and predictors for adverse events during hospitalization and discharge disposition among patients admitted with osteoarthritis or spine disorders.

DESIGN

This is a retrospective study of 12,747 adult patients admitted to six private community hospitals from 2017 to 2020. Opioid use during hospitalization and risk factors for hospital-acquired adverse events and nonhome discharge were investigated.

RESULTS

The total number of patients using opioids decreased; however, the daily morphine milligram equivalent use for patients on opioids increased from 2017 to 2020. Increased odds of nonhome discharge were associated with older age, Medicaid, Medicare insurance, and increased lengths of stay, increased body mass index, daily morphine milligram equivalent, and electrolyte replacement in the osteoarthritis group. In the spine group, older age, Black race, Medicaid, Medicare, no insurance, increased Charlson Comorbidity Index, lengths of stay, polypharmacy, and heparin use were associated with nonhome discharge. Adverse events were associated with increased age, lengths of stay, Medicare, polypharmacy, antiemetic, and benzodiazepine use in the osteoarthritis group and increased Charlson Comorbidity Index, lengths of stay, and electrolyte replacement in the spine group.

CONCLUSIONS

Despite the decreasing number of patients using opioids over the years, patients on opioids had an increased daily morphine milligram equivalent over the same period.

New psychotropic medication use among Medicare beneficiaries with dementia after hospital discharge

BACKGROUND

Hospitalizations among people with dementia (PWD) may precipitate behavioral changes, leading to the psychotropic medication use despite adverse outcomes and limited efficacy. We sought to determine the incidence of new psychotropic medication use among community-dwelling PWD after hospital discharge and, among new users, the proportion with prolonged use.

METHODS

This was a retrospective cohort study using a 20% random sample of Medicare claims in 2017, including hospitalized PWD with traditional and Part D Medicare who were 68 years or older. The primary outcome was incident prescribing at discharge of psychotropics including antipsychotics, sedative-hypnotics, antiepileptics, and antidepressants. This was defined as new prescription fills (i.e., from classes not used in 180 days preadmission) within 7 days of hospital or skilled nursing facility discharge. Prolonged use was defined as the proportion of new users who continued to fill newly prescribed medications beyond 90 days of discharge.

RESULTS

The cohort included 117,022 hospitalized PWD with a mean age of 81 years; 63% were female. Preadmission, 63% were using at least 1 psychotropic medication; 10% were using medications from ≥3 psychotropic classes. These included antidepressants (44% preadmission), antiepileptics (29%), sedative-hypnotics (21%), and antipsychotics (11%). The proportion of PWD discharged from the hospital with new psychotropics ranged from 1.9% (antipsychotics) to 2.9% (antiepileptics); 6.6% had at least one new class started. Among new users, prolonged use ranged from 36% (sedative-hypnotics) to 63% (antidepressants); across drug classes, prolonged use occurred in 51%. Predictors of newly initiated psychotropics included length of stay (≥median vs.

CONCLUSIONS

Hospitalized PWD have a high prevalence of preadmission psychotropic medication use; against this baseline, discharge from the hospital with new psychotropics is relatively uncommon. Nevertheless, prolonged use of newly initiated psychotropics occurs in a substantial proportion of this population.

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Key Words

• dementia
• hospitalization
• prescribing
• psychotropics

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MESH Headings

• Humans
• Female
• Aged
• United States
• Aged, 80 and over
• Male
• Patient Discharge
• Retrospective Studies
• Anticonvulsants/therapeutic use
• Dementia/drug therapy
• Medicare
• Psychotropic Drugs/therapeutic use
• Antipsychotic Agents/therapeutic use
• Antidepressive Agents/therapeutic use
• Hospitals
• Hypnotics and Sedatives/therapeutic use

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Grants

• K12 HS026383 AHRQ HHS
• L30 AG074160 NIA NIH HHS
• R24 AG064025 NIA NIH HHS
• K24 AG049057 NIA NIH HHS
• R35 AG071916 NIA NIH HHS
• R03 AG064373 NIA NIH HHS
• T32 AG000212 NIA NIH HHS
• P01 AG066605 NIA NIH HHS
• K01 AG073532 NIA NIH HHS
• P30 AG044281 NIA NIH HHS
• R03 AG078804 NIA NIH HHS

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Affiliation(s)

Matthew E Growdon Division of Geriatrics, University of California, San Francisco, California, USA Geriatrics, Palliative, and Extended Care Service Line, San Francisco VA Medical Center, San Francisco, California, USA
Siqi Gan Division of Geriatrics, University of California, San Francisco, California, USA Northern California Institute for Research and Education, San Francisco, California, USA
Kristine Yaffe Mental Health, San Francisco VA Medical Center, San Francisco, California, USA Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA Departments of Neurology and Psychiatry, University of California, San Francisco, California, USA
Alexandra K Lee Division of Geriatrics, University of California, San Francisco, California, USA Geriatrics, Palliative, and Extended Care Service Line, San Francisco VA Medical Center, San Francisco, California, USA
Timothy S Anderson Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
Ulrike Muench Department of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco, California, USA
W John Boscardin Division of Geriatrics, University of California, San Francisco, California, USA Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
Michael A Steinman Division of Geriatrics, University of California, San Francisco, California, USA Geriatrics, Palliative, and Extended Care Service Line, San Francisco VA Medical Center, San Francisco, California, USA

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Variation in opioid filling after same-day breast surgery in Ontario, Canada: a population-based cohort study

BACKGROUND

Postoperative pain management practices in breast surgery are variable, with recent evidence that approaches for minimizing or sparing opioids can be successfully implemented. We describe opioid filling and predictors of higher doses in patients undergoing same-day breast surgery in Ontario, Canada.

METHODS

In this retrospective population-based cohort study, we used linked administrative health data to identify patients aged 18 years or older who underwent same-day breast surgery from 2012 to 2020. We categorized procedure types by increasing invasiveness of surgery: partial, with or without axillary intervention (P ± axilla); total, with or without axillary intervention (T ± axilla); radical, with or without axillary intervention (R ± axilla); and bilateral. The primary outcome was filling an opioid prescription within 7 or fewer days after surgery. Secondary outcomes were total oral morphine equivalents (OMEs) filled (mg, median and interquartile range [IQR]) and filling more than 1 prescription within 7 or fewer days after surgery. We estimated associations (adjusted risk ratios [RRs] and 95% confidence intervals [CIs]) between study variables and outcomes in multivariable models. We used a random intercept for each unique prescriber to account for provider-level clustering.

RESULTS

Of the 84 369 patients who underwent same-day breast surgery, 72% (n = 60 620) filled an opioid prescription. Median OMEs filled increased with invasiveness (P ± axilla = 135 [IQR 90-180] mg; T ± axilla = 135 [IQR 100-200] mg; R ± axilla = 150 [IQR 113-225] mg, bilateral surgery = 150 [IQR 113-225] mg; p < 0.0001). Factors associated with filling more than 1 opioid prescription were age 30-59 years (v. age 18-29 yr), increased invasiveness (RR 1.98, 95% CI 1.70-2.30 bilateral v. P ± axilla), Charlson Comorbidity Index ≥ 2 versus 0-1 (RR 1.50, 95% CI 1.34-1.69) and malignancy (RR 1.39, 95% CI 1.26-1.53).

INTERPRETATION

Most patients undergoing same-day breast surgery fill an opioid prescription within 7 days. Efforts are needed to identify patient groups where opioids may be successfully minimized or eliminated.

Practice variation in opioid prescribing for non-cancer pain in Dutch primary care: A retrospective database study

BACKGROUND

Prescription opioid use has increased steadily in many Western countries over the past two decades, most notably in the US, Canada, and most European countries, including the Netherlands. Especially the increasing use of prescription opioids for chronic non-cancer pain has raised concerns. Most opioids in the Netherlands are prescribed in general practices. However, little is known about variation in opioid prescribing between general practices. To better understand this, we investigated practice variation in opioid prescribing for non-cancer pain between Dutch general practices.

METHODS

Data from 2017-2019 of approximately 10% of all Dutch general practices was used. Each year included approximately 1000000 patients distributed over approximately 380 practices. The primary outcome was the proportion of patients with chronic (>90 days) high-dose (≥90 oral morphine equivalents) opioid prescriptions. The secondary outcome was the proportion of patients with chronic (<90 oral morphine equivalents) opioid prescriptions. Practice variation was expressed as the ratio of the 95th/5th percentiles and the ratio of mean top 10/bottom 10. Funnel plots were used to identify outliers. Potential factors associated with unwarranted variation were investigated by comparing outliers on practice size, patient neighbourhood socioeconomic status, and urbanicity.

RESULTS

Results were similar across all years. The magnitude of variation for chronic high-dose opioid prescriptions in 2019 was 7.51-fold (95%/5% ratio), and 15.1-fold (top 10/bottom 10 ratio). The percentage of outliers in the funnel plots varied between 13.8% and 21.7%. Practices with high chronic high-dose opioid prescription proportions were larger, and had more patients from lower income and densely populated areas.

CONCLUSIONS

There might be unwarranted practice variation in chronic high-dose opioid prescriptions in primary care, pointing at possible inappropriate use of opioids. This appears to be related to socioeconomic status, urbanicity, and practice size. Further investigation of the factors driving practice variation can provide target points for quality improvement and reduce inappropriate care and unwarranted variation.

External validation of a model to predict future chronic opioid use among hospitalized patients

BACKGROUND

Previous research demonstrates an association between opioid prescribing at hospital discharge and future chronic opioid use. Various opioid guidelines and policies contributed to changes in opioid prescribing practices. How this affected hospitalized patients remains unknown.

OBJECTIVE

Externally validate a prediction model to identify hospitalized patients at the highest risk for future chronic opioid therapy (COT).

DESIGNS

Retrospective analysis of health record data from 2011 to 2022 using logistic regression.

PARTICIPANTS

Hospitalized adults with limited to no opioid use 1-year prior to hospitalization.

SETTINGS

A statewide healthcare system.

MAIN MEASUREMENTS

Used variables associated with progression to COT in a derivation cohort from a different healthcare system to predict expected outcomes in the validation cohort.

KEY RESULTS

The derivation cohort included 17,060 patients, of whom 9653 (56.6%) progressed to COT 1 year after discharge. Compared to the derivation cohort, in the validation cohort, patients who received indigent care (odds ratio [OR] = 0.40, 95% confidence interval [CI] =  0.27-0.59, p < .001) were least likely to progress to COT. Among variables assessed, opioid receipt at discharge was most strongly associated with progression to COT (OR = 3.74, 95% CI = 3.06-4.61, p < .001). The receiver operating characteristic curve for the validation set using coefficients from the derivation cohort performed slightly better than chance (AUC = 0.55).

CONCLUSIONS

Our results highlight the importance of externally validating a prediction model prior to use outside of the derivation population. Periodic updates to models are necessary as policy changes and clinical practice recommendations may affect model performance.

Long-Term Prescription Opioid Use After Injury in Washington State 2015-2018

BACKGROUND

Patients with injury may be at high risk of long-term opioid use due to the specific features of injury (e.g., injury severity), as well as patient, treatment, and provider characteristics that may influence their injury-related pain management.

OBJECTIVES

Inform prescribing practices and identify high-risk populations through studying chronic prescription opioid use in the trauma population.

METHODS

Using the Washington State All-Payer Claims Database (WA-APCD) data, we included adults aged 18-65 years with an incident injury from October 1, 2015-December 31, 2017. We compared patient, injury, treatment, and provider characteristics by whether or not the patients had long-term (≥ 90 days continuous prescription opioid use), or no opioid use after injury.

RESULTS

We identified 191,130 patients who met eligibility criteria and were included in our cohort; 5822 met criteria for long-term use. Most had minor injuries, with a median Injury Severity Score = 1, with no difference between groups. Almost all patients with long-term opioid use had filled an opioid prescription in the year prior to their injury (95.3%), vs. 31.3% in the no-use group (p < 0.001). Comorbidities associated with chronic pain, mental health, and substance use conditions were more common in the long-term than the no-use group.

CONCLUSION

Across this large cohort of multiple, mostly minor, injury types, long-term opioid use was relatively uncommon, but almost all patients with chronic use post injury had preinjury opioid use. Long-term opioid use after injury may be more closely tied to preinjury chronic pain and pain management than acute care pain management.

Surgeon Variation in Perioperative Opioid Prescribing and Medium- or Long-term Opioid Utilization after Total Knee Arthroplasty: A Cross-sectional Analysis

BACKGROUND

Whether a particular surgeon's opioid prescribing behavior is associated with prolonged postoperative opioid use is unknown. This study tested the hypothesis that the patients of surgeons with a higher propensity to prescribe opioids are more likely to utilize opioids long-term postoperatively.

METHODS

The study identified 612,378 Medicare fee-for-service patients undergoing total knee arthroplasty between January 1, 2011, and December 31, 2016. "High-intensity" surgeons were defined as those whose patients were, on average, in the upper quartile of opioid utilization in the immediate perioperative period (preoperative day 7 to postoperative day 7). The study then estimated whether patients of high-intensity surgeons had higher opioid utilization in the midterm (postoperative days 8 to 90) and long-term (postoperative days 91 to 365), utilizing an instrumental variable approach to minimize confounding from unobservable factors.

RESULTS

In the final sample of 604,093 patients, the average age was 74 yr (SD 5), and there were 413,121 (68.4%) females. A total of 180,926 patients (30%) were treated by high-intensity surgeons. On average, patients receiving treatment from a high-intensity surgeon received 36.1 (SD 35.0) oral morphine equivalent (morphine milligram equivalents) per day during the immediate perioperative period compared to 17.3 morphine milligram equivalents (SD 23.1) per day for all other patients (+18.9 morphine milligram equivalents per day difference; 95% CI, 18.7 to 19.0; P < 0.001). After adjusting for confounders, receiving treatment from a high-intensity surgeon was associated with higher opioid utilization in the midterm opioid postoperative period (+2.4 morphine milligram equivalents per day difference; 95% CI, 1.7 to 3.2; P < 0.001 [11.4 morphine milligram equivalents per day vs. 9.0]) and lower opioid utilization in the long-term postoperative period (-1.0 morphine milligram equivalents per day difference; 95% CI, -1.4 to -0.6; P < 0.001 [2.8 morphine milligram equivalents per day vs. 3.8]). While statistically significant, these differences are clinically small.

CONCLUSIONS

Among Medicare fee-for-service patients undergoing total knee arthroplasty, surgeon-level variation in opioid utilization in the immediate perioperative period was associated with statistically significant but clinically insignificant differences in opioid utilization in the medium- and long-term postoperative periods.

EDITOR’S PERSPECTIVE

Opioid and benzodiazepine prescribing after COVID-19 hospitalization

Opioid and benzodiazepine prescribing after COVID-19 hospitalization is not well understood. We aimed to characterize opioid and benzodiazepine prescribing among naïve patients hospitalized for COVID and to identify the risk factors associated with a new prescription at discharge. In this retrospective study of patients across 39 Michigan hospitals from March to November 2020, we identified 857 opioid- and benzodiazepine-naïve patients admitted with COVID-19 not requiring mechanical ventilation. Of these, 22% received opioids, 13% received benzodiazepines, and 6% received both during the hospitalization. At discharge, 8% received an opioid prescription, and 3% received a benzodiazepine prescription. After multivariable adjustment, receipt of an opioid or benzodiazepine prescription at discharge was associated with the length of inpatient opioid or benzodiazepine exposure. These findings suggest that hospitalization represents a risk of opioid or benzodiazepine initiation among naïve patients, and judicious prescribing should be considered to prevent opioid-related harms.

Association of Postsurgical Opioid Refills for Patients With Risk of Opioid Misuse and Chronic Opioid Use Among Family Members

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.

Patient and medication-related factors associated with opioid use disorder after inpatient opioid administration

BACKGROUND

Examine baseline factors associated with a new diagnosis of opioid use disorder (OUD) within 12 months postdischarge among opioid-naïve patients who received an opioid prescription in the inpatient setting.

DESIGN/SETTING

Retrospective cohort (surgery and nonsurgery) study of opioid-naive patients who had at least one prescription for an opioid during an inpatient hospitalist between 2014 and 2017.

PARTICIPANTS

Twenty-three thousand and thirty-three patients were included.

OBJECTIVE

The primary objective was to determine baseline factors associated with a new OUD diagnosis within 12 months of discharge. Baseline covariates included demographic information, clinical characteristics, medication use, characteristics related to index hospital encounter, and discharge location.

FINDINGS

2.1% of the sample had a new diagnosis of OUD within a year after receiving an opioid during hospital admission. Patients between ages 25 and 34 had higher odds of a new OUD diagnosis compared to those 65 years of age and older (odds ratio [OR]: 6.98, 95% confidence interval [CI]: 4.02-12.1 [nonsurgery] and 4.69, 95% CI: 2.63-8.37 [surgery]). Patients from a high opioid geo-rank region had higher odds of OUD diagnosis (OR: 2.08, 95% CI: 1.31-3.31 [nonsurgery] and 1.80, 95% CI: 1.03-3.15 [surgery]). History of nonopioid-related drug disorder, tobacco use disorder, mental health conditions, and gabapentin use 12 months prior to index date and white race were associated with higher odds of new OUD diagnosis.

CONCLUSIONS

It is important to identify and evaluate factors associated with developing a new diagnosis of OUD following hospitalization. This can inform pain management strategies within the hospital and at discharge, and prompt clinicians to screen for risk of OUD.

Clinician Acceptance of Order Sets for Pain Management: A Survey in Two Urban Hospitals

BACKGROUND

Order sets are a clinical decision support (CDS) tool in computerized provider order entry systems. Order set use has been associated with improved quality of care. Particularly related to opioids and pain management, order sets have been shown to standardize and reduce the prescription of opioids. However, clinician-level barriers often limit the uptake of this CDS modality.

OBJECTIVE

To identify the barriers to order sets adoption, we surveyed clinicians on their training, knowledge, and perceptions related to order sets for pain management.

METHODS

We distributed a cross-sectional survey between October 2020 and April 2021 to clinicians eligible to place orders at two campuses of a major academic medical center. Survey questions were adapted from the widely used framework of Unified Theory of Acceptance and Use of Technology. We hypothesize that performance expectancy (PE) and facilitating conditions (FC) are associated with order set use. Survey responses were analyzed using logistic regression.

RESULTS

The intention to use order sets for pain management was associated with PE to existing order sets, social influence (SI) by leadership and peers, and FC for electronic health record (EHR) training and function integration. Intention to use did not significantly differ by gender or clinician role. Moderate differences were observed in the perception of the effort of, and FC for, order set use across gender and roles of clinicians, particularly emergency medicine and internal medicine departments.

CONCLUSION

This study attempts to identify barriers to the adoption of order sets for pain management and suggests future directions in designing and implementing CDS systems that can improve order sets adoption by clinicians. Study findings imply the importance of order set effectiveness, peer influence, and EHR integration in determining the acceptability of the order sets.

Risk factors for opioid-related adverse drug events among older adults after hospital discharge

BACKGROUND

Although opioids are initiated on hospital discharge in millions of older adults each year, there are no studies examining patient- and prescribing-related risk factors for opioid-related adverse drug events (ADEs) after hospital discharge among medical patients.

METHODS

A retrospective cohort study of a national sample of Medicare beneficiaries aged 65 years and older, hospitalized for a medical reason, with at least one claim for an opioid within 2 days of hospital discharge. We excluded patients receiving hospice care and patients admitted from or discharged to a facility. We used administrative billing codes and medication claims to define potential opioid-related ADEs within 30 days of hospital discharge, and competing risks regression to identify risk factors for these events.

RESULTS

Among 22,879 medical hospitalizations (median age 74, 36.9% female) with an opioid claim within 2 days of hospital discharge, a potential opioid-related ADE occurred in 1604 (7.0%). Independent risk factors included age of 80 years and older (HR 1.18, 95% CI 1.05-1.33); clinical conditions, including kidney disease (HR 1.22, 95% CI 1.08-1.37), dementia/delirium (HR 1.38, 95% CI 1.22-1.56), anxiety disorder (HR 1.20, 95% CI 1.06-1.36), opioid use disorder (HR 1.20, 95% CI 1.03-1.39), intestinal disorders (HR 1.31, 95% CI 1.15-1.49), pancreaticobiliary disorders (HR 1.32, 95% CI 1.09-1.61), and musculoskeletal and nervous system injuries (HR 1.35, 95% CI 1.17-1.54); red flags for opioid misuse (HR 1.37, 95% CI 1.04-1.80); opioid use in the 30 days before hospitalization (HR 1.20, 95% CI 1.08-1.34); and prescription of long-acting opioids (HR 1.34, 95% CI 1.06-1.70).

CONCLUSIONS

Potential opioid-related ADEs occurred within 30 days of hospital discharge in 7.0% of older adults discharged from a medical hospitalization with an opioid prescription. Identified risk factors can be used to inform physician decision-making, conversations with older adults about risk, and development and targeting of harm reduction strategies.

Variability in discharge opioid prescribing practices for children: a historical cohort study

PURPOSE

Legitimate opioid prescriptions can increase the risk of misuse, addiction, and overdose of opioids in children and adolescents. This study aimed to describe the prescribing patterns of discharge opioid analgesics following inpatient visits and to determine patient and prescriber characteristics that are associated with prolonged opioid prescription.

METHODS

In a historical cohort study, we identified patients discharged from hospital with an opioid analgesic prescription in a tertiary pediatric hospital from 1 January 2016 to 30 June 2017. The primary outcome was the duration of opioid prescription in number of days. We assessed the association between patient and prescriber characteristics and an opioid prescription duration > five days using a generalized estimating equation to account for clustering due to repeated admissions of the same patient.

RESULTS

During the 18-month study period, 15.4% of all admitted patients (3,787/24,571) were given a total of 3,870 opioid prescriptions at discharge. The median [interquartile range] prescribed duration of outpatient opioid therapy was 3.75 [3.00-5.00] days. Seventy-seven percent of the opioid prescriptions were for five days or less. Generalized estimating equation analysis revealed that hospital stay > four days, oxycodone prescription, and prescription by clinical fellows and the orthopedics service were all independently associated with a discharge opioid prescription of > five days.

CONCLUSIONS

Most discharge opioids for children were prescribed for less than five days, consistent with current guidelines for adults. Nevertheless, the dosage and duration of opioids prescribed at discharge varied widely.

Claims-based measures of prescription opioid utilization: A practical guide for researchers

BACKGROUND

Given the increased attention to the opioid epidemic and the role of inappropriate prescribing, there has been a marked increase in the number of studies using claims data to study opioid use and policies designed to curb misuse. Our objective is to review the medical literature for recent studies that use claims data to construct opioid use measures and to develop a guide for researchers using these measures.

METHODS

We searched for articles relating to opioid use measured in health insurance claims data using a defined set of search terms for the years 2014-2020. Original research articles based in the United States that used claims-based measures of opioid utilization were included and information on the study population and measures of any opioid use, quantity of opioid use, new opioid use, chronic opioid use, multiple providers, and overlapping prescriptions was abstracted.

RESULTS

A total of 164 articles met inclusion criteria. Any opioid use was the most commonly included measure, defined by 85 studies. This was followed by quantity of opioids (68 studies), chronic opioid use (53 studies), overlapping prescriptions (28 studies), and multiple providers (8 studies). Each measure contained multiple, distinct definitions with considerable variation in how each was operationalized.

CONCLUSIONS

Claims-based opioid utilization measures are commonly used in research, but definitions vary significantly from study to study. Researchers should carefully consider which opioid utilization measures and definitions are most appropriate for their study and recognize how different definitions may influence study results.

Association between Opioids Prescribed to Medical Inpatients with Pain and Long-Term Opioid Use

OBJECTIVES

Opioid receipt during medical hospitalizations may be associated with subsequent long-term use. Studies, however, have not accounted for pain, which may explain chronic use. The objective of this study was to identify the association between opioid exposure during a medical hospitalization and use 6 to 12 months later.

METHODS

This was an observational cohort study using electronic health record data from 10 hospitals in the Cleveland Clinic Health System in 2016. Eligible patients were opioid-naïve adults with pain age 18 years and older, admitted to a medical service. Outcomes were opioid receipt during hospitalization and on discharge, and long-term opioid use, defined as ≥2 prescriptions for at least 30 pills 6 to 12 months posthospitalization. We estimated the odds of long-term opioid use by opioid exposure during the hospitalization. Models controlled for patient demographic and clinical characteristics, including patient-reported pain.

RESULTS

Among the 2971 patients in the sample, 64% received opioids during their hospitalization and 28% were discharged with opioids. Overall, 3% of patients had long-term use. Higher pain score was associated with greater odds of long-term use (adjusted odds ratio [aOR] per point increase 1.11; 95% confidence interval [CI] 1.03-1.19). No patient factors were associated with long-term use. Receipt of an opioid during a hospitalization only was not associated with long-term use (aOR 1.44, 95% CI 0.81-2.57), but receipt at discharge was (aOR 1.96, 95% CI 1.08-3.56).

CONCLUSIONS

Although opioid receipt at discharge was associated with long-term use, the number of patients this applied to was small. Pain severity was an important predictor of long-term use and should be accounted for in future studies.

Relative risks of adverse events among older adults receiving opioids versus NSAIDs after hospital discharge: A nationwide cohort study

BACKGROUND

Although analgesics are initiated on hospital discharge in millions of adults each year, studies quantifying the risks of opioids and nonsteroidal anti-inflammatory drugs (NSAIDs) among older adults during this transition are limited. We sought to determine the incidence and risk of post-discharge adverse events among older adults with an opioid claim in the week after hospital discharge, compared to those with NSAID claims only.

METHODS AND FINDINGS

We performed a retrospective cohort study using a national sample of Medicare beneficiaries age 65 and older, hospitalized in United States hospitals in 2016. We excluded beneficiaries admitted from or discharged to a facility. We derived a propensity score that included over 100 factors potentially related to the choice of analgesic, including demographics, diagnoses, surgeries, and medication coadministrations. Using 3:1 propensity matching, beneficiaries with an opioid claim in the week after hospital discharge (with or without NSAID claims) were matched to beneficiaries with an NSAID claim only. Primary outcomes included death, healthcare utilization (emergency department [ED] visits and rehospitalization), and a composite of known adverse effects of opioids or NSAIDs (fall/fracture, delirium, nausea/vomiting, complications of slowed colonic motility, acute renal failure, and gastritis/duodenitis) within 30 days of discharge. After propensity matching, there were 13,385 beneficiaries in the opioid cohort and 4,677 in the NSAID cohort (mean age: 74 years, 57% female). Beneficiaries receiving opioids had a higher incidence of death (1.8% versus 1.1%; relative risk [RR] 1.7 [1.3 to 2.3], p < 0.001, number needed to harm [NNH] 125), healthcare utilization (19.0% versus 17.4%; RR 1.1 [1.02 to 1.2], p = 0.02, NNH 59), and any potential adverse effect (25.2% versus 21.3%; RR 1.2 [1.1 to 1.3], p < 0.001, NNH 26), compared to those with an NSAID claim only. Specifically, they had higher relative risk of fall/fracture (4.5% versus 3.4%; RR 1.3 [1.1 to 1.6], p = 0.002), nausea/vomiting (9.2% versus 7.3%; RR 1.3 [1.1 to 1.4], p < 0.001), and slowed colonic motility (8.0% versus 6.2%; RR 1.3 [1.1 to 1.4], p < 0.001). Risks of delirium, acute renal failure, and gastritis/duodenitis did not differ between groups. The main limitation of our study is the observational nature of the data and possibility of residual confounding.

CONCLUSIONS

Older adults filling an opioid prescription in the week after hospital discharge were at higher risk for mortality and other post-discharge adverse outcomes compared to those filling an NSAID prescription only.

Predictive and Preventive Potential of Preoperative Gut Microbiota in Chronic Postoperative Pain in Breast Cancer Survivors

BACKGROUND

Evidence suggests a potential relationship between gut microbiota and chronic postoperative pain (CPP). This study aimed to explore the predictive and preventive potential of preoperative gut microbiota in CPP in breast cancer survivors.

METHODS

In the clinical experiments, we designed a nested case-control study to compared preoperative gut microbiota of breast cancer survivors with and without CPP using 16s rRNA sequencing. The primary outcome was clinically meaningful pain in or around the operative area 3 months after surgery. Logistic prediction models based on previously identified risk factors for CPP in breast cancer survivors were tested with and without differential bacteria to evaluate the model's potential for improvement with the addition of gut microbiota information. In the animal experiments, preoperative fecal microbiota was transplanted from patients with and without CPP to mice, and a spared nerve injury (SNI) model was used to mimic neuropathic pain in CPP. Mechanical hyperalgesia and the expression of markers of spinal microglia and peroxisome proliferator-activated receptor-γ (PPAR-γ) were assessed.

RESULTS

Sixty-six CPP patients and 66 matched controls were analyzed. Preoperative gut microbiota composition was significantly different in the 2 groups at phylus, family, and genera levels. The discrimination of the clinical prediction model (determined by area under the receiver operating characteristic curve) improved by 0.039 and 0.099 after the involvement of differential gut microbiota at the family and genus levels, respectively. After fecal microbiota transplantation (FMT), "CPP microbiota" recipient mice exhibited significantly increased mechanical hyperalgesia and decreased expression of Ppar-γ and arginase-1 (Arg-1) in the spinal cord.

CONCLUSIONS

Preoperative gut microbiota has the potential to predict and prevent the development of CPP and plays a causal role in its development via the PPAR-γ-microglia pathway in the spinal cord. Thus, it could be targeted to develop a prevention strategy for CPP in breast cancer survivors.

Opioid analgesic use after ambulatory surgery: a descriptive prospective cohort study of factors associated with quantities prescribed and consumed

OBJECTIVES

To prospectively characterise: (1) postoperative opioid analgesic prescribing practices; (2) experience of patients undergoing elective ambulatory surgeries and (3) impact of patient risk for medication misuse on postoperative pain management.

DESIGN

Longitudinal survey of patients 7 days before and 7-14 days after surgery.

SETTING

Academic urban safety-net hospital.

PARTICIPANTS

181 participants recruited, 18 surgeons, follow-up data from 149 participants (82% retention); 54% women; mean age: 49 years.

INTERVENTIONS

None.

PRIMARY AND SECONDARY OUTCOME MEASURES

Total morphine equivalent dose (MED) prescribed and consumed, percentage of unused opioids.

RESULTS

Surgeons postoperatively prescribed a mean of 242 total MED per patient, equivalent to 32 oxycodone (5 mg) pills. Participants used a mean of 116 MEDs (48%), equivalent to 18 oxycodone (5 mg) pills (~145 mg of oxycodone remaining per patient). A 10-year increase in patient age was associated with 12 (95% CI (-2.05 to -0.35)) total MED fewer prescribed opioids. Each one-point increase in the preoperative Graded Chronic Pain Scale was associated with an 18 (6.84 to 29.60) total MED increase in opioid consumption, and 5% (-0.09% to -0.005%) fewer unused opioids. Prior opioid prescription was associated with a 55 (5.38 to -104.82) total MED increase in opioid consumption, and 19% (-0.35% to -0.02%) fewer unused opioids. High-risk drug use was associated with 9% (-0.19% to 0.002%) fewer unused opioids. Pain severity in previous 3 months, high-risk alcohol, use and prior opioid prescription were not associated with postoperative prescribing practices.

CONCLUSIONS

Participants with a preoperative history of chronic pain, prior opioid prescription, and high-risk drug use were more likely to consume higher amounts of opioid medications postoperatively. Additionally, surgeons did not incorporate key patient-level factors (eg, substance use, preoperative pain) into opioid prescribing practices. Opportunities to improve postoperative opioid prescribing include system changes among surgical specialties, and patient education and monitoring.

State Variation in Chronic Opioid Use in Long-Term Care Nursing Home Residents

OBJECTIVE

Policies and regulations on opioid use have evolved from being primarily state-to federally based. We examined the trends and variation in chronic opioid use among states and nursing homes.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

We used the nursing home Minimum Data Set and Medicare claims from 2014 to 2018 and included long-term care nursing home residents from each year who had at least 120 days of consecutive stay.

MEASUREMENTS

Chronic opioid use was defined as use for ≥90 days. Three-level hierarchical logistic regression models (resident, nursing home, state) were constructed to estimate intraclass correlation coefficient (ICC) at the state level and at the nursing home level. The ICC shows the proportion of variation in chronic opioid use that is attributable to states or nursing homes. All models were constructed separately for each calendar year and controlled for resident, nursing home, and state characteristics.

RESULTS

We included 3,245,714 nursing home stays from 2014 to 2018, representing 1,502,131 unique residents. The stays ranged from 676,413 in 2014 to 594,874 in 2018, with residents contributing a maximum of 1 stay per year. Chronic opioid use among nursing home residents declined from 14.1% in 2014 to 11.4% in 2018. The variation (ICC) in chronic opioid use among states declined from 2.5% in 2014 to 1.7% in 2018. In contrast, the variation (ICC) among nursing homes increased from 5.6% in 2014 to 6.5% in 2018.

CONCLUSIONS AND IMPLICATIONS

Variation in chronic opioid use declined by one-third at the state level but not at the nursing home level. National guidelines on opioid use and federal policies on opioid use may have contributed to reducing state-level variation in chronic opioid use.

Association of Occupational and Physical Therapy With Duration of Prescription Opioid Use After Hip or Knee Arthroplasty: A Retrospective Cohort Study of Medicare Enrollees

OBJECTIVE

To establish whether nonpharmacologic interventions, such as occupational and physical therapy, were associated with a shorter duration of prescription opioid use after hip or knee arthroplasty.

DESIGN

This retrospective cohort study used data from a national 5% Medicare sample database between January 1, 2010 and December 31, 2015.

SETTING

Home health or outpatient.

PARTICIPANTS

Adults 66 years or older with an inpatient total hip (n=4272) or knee (n=9796) arthroplasty (N=14,068).

INTERVENTIONS

We dichotomized patients according to whether they had received any nonpharmacologic pain intervention within 1 year after hospital discharge (eg, occupational or physical therapy evaluation). Using Cox proportional hazards, we treated exposure to nonpharmacologic interventions as time dependent to determine if skilled therapy was associated with duration of opioid use.

MAIN OUTCOME MEASURES

Duration of prescription opioid use.

RESULTS

Median time to begin nonpharmacologic interventions was 91 days (95% confidence interval [CI], 74-118d) for hip and 27 days (95% CI, 27-28d) for knee arthroplasty. Median time to discontinue prescription opioids was 16 days (hip: 95% CI, 15-16d) and 30 days (knee: 95% CI, 29-31d). Nonpharmacologic interventions delivered with home health increased the likelihood of discontinuing opioids after hip (hazard ratio [HR], 1.15; 95% CI, 1.01-1.30) and knee (HR, 1.10; 95% CI, 1.03-1.17) arthroplasty. A sensitivity analysis found these estimates to be robust and conservative.

CONCLUSIONS

Occupational and physical therapy with home health was associated with a shorter duration of prescription opioid use after hip and knee arthroplasty. Occupational and physical therapy can address pain and sociobehavioral factors associated with postsurgical opioid use.

Quality of Patient Education Materials on Safe Opioid Management in the Acute Perioperative Period: What Do Patients Find Online?

OBJECTIVE

Guidelines on postoperative pain management recommend inclusion of patient and caregiver education on opioid safety. Patient education materials (PEMs) should be written at or below a sixth grade reading level. We designed this study to compare the readability of online PEMs related to postoperative opioid management produced by institutions with and without a regional anesthesiology and acute pain medicine (RAAPM) fellowship.

METHODS

With institutional review board exemption, we constructed our cohort of PEMs by searching RAAPM fellowship websites from North American academic medical centers and identified additional websites using structured Internet searches. Readability metrics were calculated from PEMs using the TextStat 0.4.1 textual analysis package for Python 2.7. The primary outcome was the Flesch-Kincaid Grade Level (FKGL), a score based on words per sentence and syllables per word. We also compared fellowship-based and nonfellowship PEMs on the presence or absence of specific content-related items.

RESULTS

PEMs from 15 fellowship and 23 nonfellowship institutions were included. The mean (SD) FKGL for PEMs was grade 7.84 (1.98) compared with the recommended sixth grade level (P < 0.001) and was not different between groups. Less than half of online PEMs contained explicit discussion of opioid tapering or cessation. Disposal and overdose risk were addressed more often by nonfellowship PEMs.

CONCLUSIONS

Available online PEMs related to opioid management are beyond the recommended reading level, but readability metrics for online PEMs do not differ between fellowship and nonfellowship groups. More than two-thirds of RAAPM fellowship programs in North America are lacking readable online PEMs on safe postoperative opioid management.

Opioid Prescribing in the 2016 Medicare Fee-for-Service Population

BACKGROUND AND OBJECTIVES

Opioid use and misuse are prevalent and remain a national crisis. This study identified beneficiary characteristics associated with filling opioid prescriptions, variation in opioid dosing, and opioid use with average daily doses (ADDs) equal to 120 morphine milligram equivalents (MMEs) or more in the 100% Medicare fee-for-service (FFS) population.

DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS

In a cohort of FFS beneficiaries with 12 months of Medicare Part D coverage in 2016, we examined patient factors associated with filling an opioid prescription (n = 20,880,490) and variation in ADDs (n = 7,325,031) in a two-part model. Among those filling opioids, we also examined the probability of ADD equal to 120 MMEs or more via logistic regression.

RESULTS

About 35% of FFS beneficiaries had one or more opioid prescription fills in 2016 and 1.5% had ADDs equal to 120 MMEs or more. Disability-eligible beneficiaries and beneficiaries with multiple chronic conditions were more likely to fill opioids, to have higher ADDs or were more likely to have ADD equal to 120 MMEs or more. Beneficiaries with chronic obstructive pulmonary disease (COPD) were more likely to fill opioids (odds ratio (OR) = 1.47, 95% confidence interval (CI) = 1.46-1.47), have higher ADDs (rate ratio = 1.06, 95% CI = 1.06-1.06) when filled and were more likely to have ADD equal to 120 MMEs or more (OR = 1.23, 95% CI = 1.21-1.24). Finally, black and Hispanic beneficiaries were less likely to fill opioids, had lower overall doses and were less likely to have ADDs equal to 120 MMEs or more compared to white beneficiaries.

CONCLUSION

Several beneficiary subgroups have underappreciated risk of adverse events associated with ADD equal to 120 MMEs or more that may benefit from opioid optimization interventions that balance pain management and adverse event risk, especially beneficiaries with COPD who are at risk for respiratory depression.

Physician Prescribing Patterns and Risk of Future Long-Term Opioid Use Among Patients With Rheumatoid Arthritis: A Prospective Observational Cohort Study

OBJECTIVE

To identify the extent to which opioid prescribing rates for patients with rheumatoid arthritis (RA) vary in the US and to determine the implications of baseline opioid prescribing rates on the probability of future long-term opioid use.

METHODS

We identified patients with RA from physicians who contributed ≥10 patients within the first 12 months of participation in the Corrona RA Registry. The baseline opioid prescribing rate was calculated by dividing the number of patients with RA reporting opioid use during the first 12 months by the number of patients with RA providing data that year. To estimate odds ratios (ORs) for long-term opioid use, we used generalized linear mixed models.

RESULTS

During the follow-up period, long-term opioid use was reported by 7.0% (163 of 2,322) of patients of physicians with a very low rate of opioid prescribing (referent) compared to 6.8% (153 of 2,254) of patients of physicians with a low prescribing rate, 12.5% (294 of 2,352) of patients of physicians with a moderate prescribing rate, and 12.7% (307 of 2,409) of patients of physicians with a high prescribing rate. The OR for long-term opioid use after the baseline period was 1.16 (95% confidence interval [95% CI] 0.79-1.70) for patients of low-intensity prescribing physicians, 1.89 (95% CI 1.27-2.82) for patients of moderate-intensity prescribing physicians, and 2.01 (95% CI 1.43-2.83) for patients of high-intensity prescribing physicians, compared to very low-intensity prescribing physicians.

CONCLUSION

Rates of opioid prescriptions vary widely. Our findings indicate that baseline opioid prescribing rates are a strong predictor of whether a patient will become a long-term opioid user in the future, after controlling for patient characteristics.

Evaluation of Inpatient Opioid Prescribing Resulting in Outpatient Opioid Prescriptions for Previously Opioid-Naive Internal Medicine Patients

BACKGROUND

Little data exist regarding inpatient opioid prescriptions as a potential contribution to the current opioid crisis. While pain management is essential to inpatient care, the ease of which opioids may be prescribed for all levels of pain may contribute to unnecessary inpatient exposure and new outpatient prescriptions. The aim of this study was to observe patterns of opioid prescribing potentially leading to new opioid prescriptions at hospital discharge for previously opioid-naive patients.

METHODS

This study was a single-center observational study of opioid-naïve internal medicine patients who were prescribed inpatient opioids. Patient charts were reviewed to assess the patterns of inpatient opioid and non-opioid analgesic use, new opioid prescriptions upon discharge and medical record documentation justifying the need for outpatient therapy.

RESULTS

Among the 101 patients included in this study, 71 were prescribed IV opioids and 45 were prescribed both IV and oral opioids. Non-opioid analgesics were available for 78 patients. Twenty patients were discharged with a new prescription. The mean duration of outpatient prescriptions was 3.85 +/- 1.85 days with mean morphine milligram equivalents (MME) of 44.25 +/- 22.16. Among patients receiving these outpatient prescriptions, 11 had reference to the therapy in the discharge summary.

CONCLUSIONS

This observational study describes an opportunity to improve inpatient opioid prescribing practices which may reduce new prescriptions for continued outpatient therapy. Further work should focus on optimizing use of non-opioid analgesia, minimizing use of IV opioids and requiring prescribers to justify the indication for new opioid prescriptions upon hospital discharge.

Variation in opioid analgesia administration and discharge prescribing for emergency department patients with suspected urolithiasis

OBJECTIVE

Previous research has suggested caution about opioid analgesic usage in the emergency department (ED) setting and raised concerns about variations in prescription opioid analgesic usage, both across institutions and for whom they are prescribed. We examined opioid analgesic usage in ED patients with suspected urolithiasis across fifteen participating hospitals.

METHODS

This is a secondary analysis of a clinical trial including adult ED patients with suspected urolithiasis. In multilevel models accounting for clustering by hospital, we assessed demographic, clinical, state-level, and hospital-level factors associated with opioid analgesic administration during the ED visit and prescription at discharge.

RESULTS

Of 2352 participants, 67% received an opioid analgesic during the ED visit and 61% were prescribed one at discharge. Opioid analgesic usage varied greatly across hospitals, ranging from 46% to 88% (during visit) and 34% to 85% (at discharge). Hispanic patients were less likely than non-Hispanic white patients to receive opioid analgesics during the ED visit (OR 0.72, 95% CI 0.55-0.94). Patients with higher education (OR 1.29, 95% CI 1.05-1.59), health insurance coverage (OR 1.27, 95% CI 1.02-1.60), or receiving care in states with a prescription drug monitoring program (OR 1.64, 95% CI 1.06-2.53) were more likely to receive an opioid analgesic prescription at ED discharge.

CONCLUSION

We found marked hospital-level differences in opioid analgesic administration and prescribing, as well as associations with education, healthcare insurance, and race/ethnicity groups. These data might compel clinicians and hospitals to examine their opioid use practices to ensure it is congruent with accepted medical practice.

Long-term opioid use after bariatric surgery

BACKGROUND

Opioid analgesics are often prescribed to manage pain after bariatric surgery, which may develop into chronic prescription opioid use (CPOU) in opioid-naïve patients. Bariatric surgery may affect opioid use in those with or without presurgical CPOU.

OBJECTIVE

To compare CPOU persistence and incidence in a large multisite cohort of veterans undergoing bariatric surgery (open Roux-en-Y gastric bypass, laparoscopic RYGB, or laparoscopic sleeve gastrectomy) and matched nonsurgical controls.

SETTING

Veterans Administration hospitals.

METHODS

In a retrospective cohort study, we matched 1117 surgical patients with baseline CPOU to 9531 nonsurgical controls, and 2822 surgical patients without CPOU at baseline to 26,392 nonsurgical controls using sequential stratification. CPOU persistence in veterans with baseline CPOU was estimated using generalized estimating equations by procedure type. CPOU incidence in veterans without baseline CPOU was estimated in Cox regression models by procedure type because postoperative pain, complications, and absorption may differ by procedure.

RESULTS

In veterans with baseline CPOU, postsurgical CPOU declined over time for each surgical procedure; these trends did not differ between surgical patients and nonsurgical controls. In veterans without baseline CPOU, compared with nonsurgical controls, bariatric patients had higher CPOU incidence within 5 years after open Roux-en-Y gastric bypass (hazard ratio = 1.19; 95% confidence interval: 1.06-1.34) or laparoscopic open Roux-en-Y gastric bypass (hazard ratio = 1.22, 95% confidence interval: 1.06-1.41). Veterans undergoing laparoscopic sleeve gastrectomy had higher CPOU incidence 1 to 5 years after surgery (hazard ratio = 1.28; 95% confidence interval: 1.05-1.56) than nonsurgical controls.

CONCLUSIONS

Bariatric surgery was associated with greater risk of CPOU incidence in patients without baseline CPOU but was not associated with greater CPOU persistence.

Variability in opioid prescribing practices among cardiac surgeons and trainees

BACKGROUND AND AIM

The opioid epidemic has become a major public health crisis in recent years. Discharge opioid prescription following cardiac surgery has been associated with opioid use disorder; however, ideal practices remain unclear. Our aim was to examine current practices in discharge opioid prescription among cardiac surgeons and trainees.

METHODS

A survey instrument with open- and closed-ended questions, developed through a 3-round Delphi method, was circulated to cardiac surgeons and trainees via the Canadian Society of Cardiac Surgeons. Survey questions focused on routine prescription practices including type, dosage and duration. Respondents were also asked about their perceptions of current education and guidelines surrounding opioid medication.

RESULTS

Eighty-one percent of respondents reported prescribing opioids at discharge following routine sternotomy-based procedures, however, there remained significant variability in the type and dose of medication prescribed. The median (interquartile range) number of pills prescribed was 30 (20-30) with a median total dose of 135 (113-200) Morphine Milligram Equivalents. Informal teaching was the most commonly reported primary influence on prescribing habits and a lack of formal education regarding opioid prescription was associated with a higher number of pills prescribed. A majority of respondents (91%) felt that there would be value in establishing practice guidelines for opioid prescription following cardiac surgery.

CONCLUSIONS

Significant variability exists with respect to routine opioid prescription at discharge following cardiac surgery. Education has come predominantly from informal sources and there is a desire for guidelines. Standardization in this area may have a role in combatting the opioid epidemic.

Risk Factors for Prolonged Opioid Use and Effects of Opioid Tolerance on Clinical Outcomes After Anterior Cervical Discectomy and Fusion Surgery

STUDY DESIGN

Retrospective study.

OBJECTIVE

The aim of this study was to determine risk factors for prolonged opioid use and to investigate whether opioid-tolerance affects patient-reported outcomes following anterior cervical discectomy and fusion (ACDF) surgery.

SUMMARY OF BACKGROUND DATA

There is a lack of consensus on risk factors that can affect continued opioid use after cervical spine surgery and the influence of opioid use on patient-reported outcomes.

METHODS

Ninety-two patients who underwent ACDF for degenerative cervical pathologies were retrospectively identified and their opioid usage before surgery was investigated using a state-sponsored prescription drug monitoring registry. Opioid-naïve and opioid tolerant groups were defined using criteria most consistent with the Federal Drug Administration (FDA) definition. Patient-reported outcomes were then collected, including the Short Form-12 (SF-12) Physical Component (PCS-12) and Mental Component (MCS-12), the Neck Disability Index (NDI), the Visual Analogue Scale Neck (VAS neck) and the Visual Analogue Scale Arm (VAS Arm) pain scores. Logistic regression was used to determine predictors for prolonged opioid use following ACDF. Univariate and multivariate analyses were conducted to compare change in outcomes over time between the two groups.

RESULTS

Logistic regression analysis demonstrated that opioid tolerance was a significant predictor for prolonged opioid use after ACDF (odds ratio [OR]: 18.2 [1.46, 226.4], P = 0.02). Duration of usage was also found to be a significant predictor for continued opioid use after surgery (OR: 1.10 [1.0, 1.03], P = 0.03). No other risk factors were found to be significant predictors. Both groups overall experienced improvements in patient-reported outcomes after surgery. Multiple linear regression analysis, controlling for patient demographics, demonstrated that opioid-tolerant user status positively affected change in outcomes over time for NDI (β = -13.7 [-21.8,-5.55], P = 0.002) and PCS-12 (β = 6.99 [2.59, 11.4], P = 0.003) but no other outcomes measured.

CONCLUSION

Opioid tolerance was found to be a significant predictor for prolonged opioid use after ACDF. Additionally, opioid-naïve and opioid-tolerant users experienced overall improvements across PROMs following ACDF. Opioid-tolerance was associated with NDI and PCS-12 improvements over time compared to opioid-naïve users.

LEVEL OF EVIDENCE

4.

Time Trends in Opioid Use by Dementia Severity in Long-Term Care Nursing Home Residents

OBJECTIVE

Current information on opioid use in nursing home residents, particularly those with dementia, is unknown. We examined the temporal trends in opioid use by dementia severity and the association of dementia severity with opioid use in long-term care nursing home residents.

DESIGN

Repeated measures cross-sectional study.

SETTING

Long-term care nursing homes.

PARTICIPANTS

Using 20% Minimum Data Set (MDS) and Medicare claims from 2011-2017, we included long-term care residents (n = 734,739) from each year who had 120 days of consecutive stay. In a secondary analysis, we included residents who had an emergency department visit for a fracture (n = 12,927).

MEASUREMENTS

Dementia was classified as no, mild, moderate, and severe based on the first MDS assessment each year. In the 120 days of nursing home stay, opioid use was measured as any, prolonged (>90 days), and high-dose (≥90 morphine milligram equivalent dose/day). For residents with a fracture, opioid use was measured within 7 days after emergency department discharge. Association of dementia severity with opioid use was evaluated using logistic regression.

RESULTS

Overall, any opioid use declined by 8.5% (35.2% to 32.2%, P < .001), prolonged use by 5.0% (14.1% to 13.4%, P < .001), and high-dose by 21.4% (1.4% to 1.1%, P < .001) from 2011 to 2017. Opioid use declined across 4 dementia severity groups. Among residents with fracture, opioid use declined by 9% in mild, 9.5% in moderate, and 12.3% in severe dementia. The odds of receiving any, prolonged, and high-dose opioids decreased with increasing severity of dementia. For example, severe dementia reduced the odds of any [23.5% vs 47.6%; odds ratio (OR) 0.56, 95% confidence interval (CI) 0.55-0.57], prolonged (9.8% vs 20.7%; OR 0.69, 95% CI 0.67-0.71), and high-dose (1.0% vs 2.3%; OR 0.69, 95% CI 0.63-0.74) opioids.

CONCLUSIONS AND IMPLICATIONS

Use of opioids declined in nursing home residents from 2011 to 2017, and the use was lower in residents with dementia, possibly reflecting suboptimal pain management in this population.

In inpatients with cirrhosis opioid use is common and associated with length of stay and persistent use post-discharge

Background

Previous studies have demonstrated that opioids are often prescribed and associated with complications in outpatients with cirrhosis. Less is known about opioids among hospitalized patients with cirrhosis. We aimed to describe the patterns and complications of opioid use among inpatients with cirrhosis.

Methods

This retrospective cohort study included adult patients with cirrhosis admitted to a single hospital system from 4/4/2014 to 9/30/2015. We excluded hospitalizations with a surgery, invasive procedure, or palliative care/hospice consult in order to understand opioid use that may be avoidable. We determined the frequency, dosage, and type of opioids given during hospitalization. Using bivariable and multivariable analyses, we assessed length of stay, intensive care unit transfer, and in-hospital mortality by opioid use.

Results

Of 217 inpatients with cirrhosis, 118 (54.4%) received opioids during hospitalization, including 41.7% of patients without prior outpatient opioid prescriptions. Benzodiazepines or hypnotic sleep aids were given to 28.8% of opioid recipients. In the multivariable model, younger age and outpatient opioid prescription were associated with inpatient opioids. Hospitalization was longer among opioid recipients (median 3.9 vs 3.0 days, p = 0.002) and this difference remained after adjusting for age, cirrhosis severity, and medical comorbidities. There was no difference in intensive care unit transfers and no deaths occurred. At discharge, 22 patients were newly started on opioids of whom 10 (45.5%) had opioid prescriptions at 90 days post-discharge.

Conclusion

In non-surgical inpatients with cirrhosis, opioid prescribing was common and associated with prolonged length of stay. A high proportion of patients newly discharged with opioid prescriptions had ongoing prescriptions at 90 days post-discharge.

Opioid Utilization and Perception of Pain Control in Hospitalized Patients: A Cross-Sectional Study of 11 Sites in 8 Countries

BACKGROUND

Hospitalized patients are frequently treated with opioids for pain control, and receipt of opioids at hospital discharge may increase the risk of future chronic opioid use.

OBJECTIVE

To compare inpatient analgesic prescribing patterns and patients' perception of pain control in the United States and non-US hospitals.

DESIGN

Cross-sectional observational study.

SETTING

Four hospitals in the US and seven in seven other countries.

PARTICIPANTS

Medical inpatients reporting pain.

MEASUREMENTS

Opioid analgesics dispensed during the first 24-36 hours of hospitalization and at discharge; assessments and beliefs about pain.

RESULTS

We acquired completed surveys for 981 patients, 503 of 719 patients in the US and 478 of 590 patients in other countries. After adjusting for confounding factors, we found that more US patients were given opioids during their hospitalization compared with patients in other countries, regardless of whether they did or did not report taking opioids prior to admission (92% vs 70% and 71% vs 41%, respectively; P < .05), and similar trends were seen for opioids prescribed at discharge. Patient satisfaction, beliefs, and expectations about pain control differed between patients in the US and other sites.

LIMITATIONS

Limited number of sites and patients/country.

CONCLUSIONS

In the hospitals we sampled, our data suggest that physicians in the US may prescribe opioids more frequently during patients' hospitalizations and at discharge than their colleagues in other countries, and patients have different beliefs and expectations about pain control. Efforts to curb the opioid epidemic likely need to include addressing inpatient analgesic prescribing practices and patients' expectations regarding pain control.

Multimorbidity and Opioid Prescribing in Hospitalized Older Adults

Background: Multimorbidity and pain are both common among older adults, yet pain treatment strategies for older patients with multimorbidity have not been well characterized. Objectives: To assess the prevalence and relationship between multimorbidity and opioid prescribing in hospitalized older medical patients with pain. Methods: We collected demographic, morbidity, pain, and analgesic treatment data through structured review of the electronic medical records of a consecutive sample of 238 medical patients, aged ≥65 years admitted between November 2014 and May 2015 with moderate-to-severe pain by numerical pain rating scale (range 4-10). We used the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) to assess multimorbidity and cumulative illness burden. We examined the relationship between morbidity measures and opioid prescribing at hospital discharge using multivariate regression analysis. Results: The mean age was 75 ± 8 years, 57% were female and 50% were non-White. Mean CIRS-G total score was 17 ± 6, indicating high cumulative illness burden. Ninety-nine percent of patients had multimorbidity, defined as moderate-to-extremely severe morbidity in ≥2 organ systems. Sixty percent of patients received an opioid prescription at discharge. In multivariate analyses adjusted for age, race, and gender, patients with a discharge opioid prescription were significantly more likely to have higher cumulative illness burden and chronic pain. Conclusion: Among older medical inpatients, multimorbidity was nearly universal, and patients with higher cumulative illness burden were more likely to receive a discharge opioid prescription. More studies of benefits and harms of analgesic treatments in older adults with multimorbidity are needed to guide clinical practice.

Conversion to Persistent or High-Risk Opioid Use After a New Prescription From the Emergency Department: Evidence From Washington Medicaid Beneficiaries

STUDY OBJECTIVE

We describe the overall risk and factors associated with transitioning to persistent opioid or high-risk use after an initial emergency department (ED) opioid prescription.

METHODS

A retrospective cohort study of Washington Medicaid beneficiaries was performed with linked Medicaid and prescription drug monitoring program files. We identified adults who had no record of opioid prescriptions in the previous 12 months, and who filled a new opioid prescription within 1 day of an ED discharge in 2014. We assessed the risk of persistent opioid use or high-risk prescription fills within 12 months after the index visit. Logistic regression was used to assess the association between pertinent variables and conversion to persistent or high-risk use.

RESULTS

Among 202,807 index ED visits, 23,381 resulted in a new opioid prescription. Of these, 13.7% led to persistent or high-risk opioid prescription fills within 12 months compared with 3.2% for patients who received no opioids at the index visit. Factors associated with increased likelihood of persistent opioid or high-risk prescription fills included a history of skeletal or connective-tissue disorder; neck, back, or dental pain; and a history of prescribed benzodiazepines. The highest conversion rates (37.3%) were observed among visits in which greater than or equal to 350 morphine milligram equivalents were prescribed. Conversion rates remained greater than 10% even among visits resulting in lower-dose opioid prescriptions.

CONCLUSION

Medicaid recipients are at moderate risk for conversion to persistent or high-risk opioid use after a new ED prescription. Longer or higher-dose prescriptions are associated with increased risk for conversion; however, even visits that lead to guideline-concordant prescriptions bear some risk for long-term or high-risk use.

State of Science: Bridging the Science-Practice Gap in Aging, Dementia and Mental Health

The workforce available to care for older adults has not kept pace with the need. In response to workforce limitations and the growing complexity of healthcare, scientists have tested new models of care that redesign clinical practice. This article describes why new models of care in aging, dementia, and mental health diffuse inadequately into the healthcare systems and communities where they might benefit older adults. We review a general framework for the diffusion of innovations and highlight the importance of other features of innovations that deter or facilitate diffusion. Although scientists often focus on generating evidence-based innovations, end-users apply their own criteria to determine an innovation's value. In 1962, Rogers suggested six features of an innovation that facilitate or deter diffusion suggested: relative advantage, compatibility with the existing environment, ease or difficulty of implementation, trial-ability or ability to "test drive", adaptability, and observed effectiveness. We describe examples of models of care in aging, dementia and mental health that enjoy a modicum of diffusion into practice and place the features of these models in the context of deterrents and facilitators for diffusion. Developers of models of care in aging, dementia, and mental health typically fail to incorporate the complexities of health systems, the barriers to diffusion, and the role of emotion into design considerations of new models. We describe agile implementation as a strategy to facilitate the speed and scale of diffusion in the setting of complex adaptive systems, social networks, and dynamic macroenvironments.

Patient and Health Care Provider Factors Associated With Prescription of Opioids After Delivery

OBJECTIVE

To identify patient and health care provider characteristics associated with receipt of a high amount of prescribed opioids at postpartum discharge.

METHODS

This was a retrospective case-control study of all opioid-naïve women delivering at a single, high-volume tertiary care center between December 1, 2015, and November 30, 2016. Inpatient, outpatient, pharmacy, and billing records were queried for clinical, prescription, and health care provider (training, age, gender) data. The discharging health care provider, whether an opioid prescription was provided, and the details of any opioid prescription were determined. A high amount of prescribed opioids was defined as morphine milligram equivalents greater than the 90th percentile (determined as 300 morphine milligram equivalents for vaginal and 500 morphine milligram equivalents for cesarean delivery). Multivariable logistic regression models with random effects were used to identify patient and health care provider factors independently associated with receipt of a high amount of prescribed opioids at discharge. Findings were analyzed separately by mode of delivery.

RESULTS

The analysis included 12,362 women. High amounts of opioids were prescribed for 636 of 9,038 (7.0%) women who delivered vaginally and 241 of 3,288 (7.3%) of those delivering by cesarean. In multivariable analysis, patient factors associated with receipt of a high amount of prescribed opioids at discharge after a vaginal delivery included nulliparity, intrapartum neuraxial anesthesia, major laceration, and infectious complication. Discharge by a trainee physician was associated with decreased odds of receiving a high amount of opioids (8.5% vs 1.9%; adjusted odds ratio [OR] 0.08, 95% CI 0.01-0.53). For women who underwent cesarean delivery, the only patient factor associated with receipt of a high amount of prescribed opioids was hemorrhage. Discharge by a trainee physician was associated with decreased odds of being provided a high-amount opioid prescription (7.9% vs 0.4%; adjusted OR 0.01, 95% CI 0.00-0.36).

CONCLUSION

Even after adjusting for patient factors, discharge by a trainee physician is significantly associated with decreased odds of a high amount of prescribed opioids at postpartum discharge.

Association of Primary Care Clinic Appointment Time With Opioid Prescribing

IMPORTANCE

Time pressure to provide a quick fix is commonly cited as a reason why opioids are frequently prescribed in the United States, but there is little evidence of an association between appointment timing and clinical decision-making. As the workday progresses and appointments run behind schedule, physicians may be more likely to prescribe opioids.

OBJECTIVE

To estimate whether characteristics of appointment timing are associated with clinical decision-making about pain treatment.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study of physician behavior used data from electronic health record systems in primary care offices in the United States to analyze primary care appointments occurring in 2017 for patients with a new painful condition who had not received an opioid prescription within the past year.

MAIN OUTCOMES AND MEASURES

The association between treatment decisions and 2 dimensions of appointment timing (order of appointment occurrence and delay relative to scheduled start time) were assessed. The rates of opioid prescribing were measured and compared with rates of nonopioid pain medication (ie, nonsteroidal anti-inflammatory drugs) prescribing and referral to physical therapy. All rates were estimated within the same physician using physician fixed effects, adjusting for patient, appointment, and seasonal characteristics.

RESULTS

Among 678 319 primary care appointments (642 262 patients; 392 422 [61.1%] women) with 5603 primary care physicians, the likelihood that an appointment resulted in an opioid prescription increased by 33% as the workday progressed (1st to 3rd appointment, 4.0% [95% CI, 3.9%-4.1%] vs 19th to 21st appointment, 5.3% [95% CI. 5.1%-5.6%]; P < .001) and by 17% as appointments ran behind schedule (0-9 minutes late, 4.4% [95% CI, 4.3%-4.6%] vs ≥60 minutes late, 5.2% [95% CI, 5.0%-5.4%]; P < .001). Prescribing of nonsteroidal anti-inflammatory drugs and referral to physical therapy did not display similar patterns.

CONCLUSIONS AND RELEVANCE

These findings suggest that, even within an individual physician's schedule, clinical decision-making for opioid prescribing varies by the timing and lateness of appointments.

Use of Opioids and Other Analgesics Before and After Primary Surgery for Adult Spinal Deformity: A 10-Year Nationwide Study

Objective

To report the 1-year pre and postoperative analgesic use in patients undergoing primary surgery for adult spinal deformity (ASD) and assess risk factors for chronic postoperative opioid use.

Methods

Patients > 18 years undergoing primary instrumented surgery for ASD in Denmark between 2006 and 2016 were identified in the Danish National Patient Registry. Information on analgesic use were obtained from the Danish National Health Service Prescription Database. Use of analgesics was calculated one year before and after surgery for each patient, per quarter (-Q4 to -Q1 before and Q1 to Q4 after). Users were defined as patient with one or more prescriptions in the given quarter.

Results

We identified 892 patients. Preoperatively, 28% (n = 246) of patients were opioid users in -Q4 and 33% (n = 295) in -Q1. Postoperatively, 85% (n = 756) of patients were opioid users in Q1 and 31% (n = 280) in Q4. Proportions of users of other analgesics (paracetamol, antidepressants, and anticonvulsants) were stable before and after surgery. Use of nonsteroidal anti-inflammatory drug decreased postoperatively by 40% (-Q1 vs. Q4). 26% of patients had chronic preoperative opioid use (one or more prescriptions in each -Q2 and -Q1) and 24% had chronic postoperative use (prescription each of Q1–Q4). Multivariate logistic regression analysis showed age increment per 10 years and preoperative chronic opioid use as risk factors for chronic postoperative opioid use.

Conclusion

One year after ASD surgery, opioid use was not reduced compared to preoperative usage.

Patterns of Opioid Administration Among Opioid-Naive Inpatients and Associations With Postdischarge Opioid Use: A Cohort Study

BACKGROUND

Patterns of inpatient opioid use and their associations with postdischarge opioid use are poorly understood.

OBJECTIVE

To measure patterns in timing, duration, and setting of opioid administration in opioid-naive hospitalized patients and to examine associations with postdischarge use.

DESIGN

Retrospective cohort study using electronic health record data from 2010 to 2014.

SETTING

12 community and academic hospitals in Pennsylvania.

PATIENTS

148 068 opioid-naive patients (191 249 admissions) with at least 1 outpatient encounter within 12 months before and after admission.

MEASUREMENTS

Number of days and patterns of inpatient opioid use; any outpatient use (self-report and/or prescription orders) 90 and 365 days after discharge.

RESULTS

Opioids were administered in 48% of admissions. Patients were given opioids for a mean of 67.9% (SD, 25.0%) of their stay. Location of administration of first opioid on admission, timing of last opioid before discharge, and receipt of nonopioid analgesics varied substantially. After adjustment for potential confounders, 5.9% of inpatients receiving opioids had outpatient use at 90 days compared with 3.0% of those without inpatient use (difference, 3.0 percentage points [95% CI, 2.8 to 3.2 percentage points]). Opioid use at 90 days was higher in inpatients receiving opioids less than 12 hours before discharge than in those with at least 24 opioid-free hours before discharge (7.5% vs. 3.9%; difference, 3.6 percentage points [CI, 3.3 to 3.9 percentage points]). Differences based on proportion of the stay with opioid use were modest (opioid use at 90 days was 6.4% and 5.4%, respectively, for patients with opioid use for ≥75% vs. ≤25% of their stay; difference, 1.0 percentage point [CI, 0.4 to 1.5 percentage points]). Associations were similar for opioid use 365 days after discharge.

LIMITATION

Potential unmeasured confounders related to opioid use.

CONCLUSION

This study found high rates of opioid administration to opioid-naive inpatients and associations between specific patterns of inpatient use and risk for long-term use after discharge.

PRIMARY FUNDING SOURCE

UPMC Health System and University of Pittsburgh.

Initial Opioid Prescriptions among U.S. Commercially Insured Patients, 2012-2017

BACKGROUND

The United States is undergoing a crippling opioid epidemic, spurred in part by overuse of prescription opioids by adults 25 to 64 years of age. Of concern are long-duration and high-dose initial prescriptions, which place the patients and their friends and relatives at heightened risk for long-term opioid use, misuse, overdose, and death.

METHODS

We estimated the incidence of initial opioid prescriptions in each month between July 2012 and December 2017 using administrative-claims data from across the United States (accessed through Blue Cross-Blue Shield [BCBS] Axis); monthly incidence was estimated as the percentage of enrollees who received an initial opioid prescription among those who had not used opioids (i.e., no opioid prescription or a diagnosis of opioid use disorder in the 6 months before a given month). We then estimated the percentage of enrollees initiating opioid therapy who received a long-duration or high-dose initial opioid prescription in each month during this period. We also calculated the number of providers who initiated opioid therapy in any patient who had not used opioids in each month and examined monthly trends in the duration and dose of initial opioid prescriptions in prescriber and patient subgroups. Our study sample included 63,817,512 enrollees who had not used opioids (mean, 15,897,673 per month).

RESULTS

The monthly incidence of initial opioid prescriptions among enrollees who had not used opioids declined by 54%, from 1.63% in July 2012 to 0.75% in December 2017. This decline was accompanied by a decreasing number of providers (from 114,043 in July 2012 to 80,462 in December 2017) who initiated opioid therapy in any patient who had not used opioids. Nonetheless, among the shrinking subgroup of physicians who initiated opioid therapy in such patients, high-risk prescribing (i.e., prescriptions for more than a 3-day supply or for a dose of 50 morphine milligram equivalents per day or higher) persisted at a monthly rate of 115,378 prescriptions per 15,897,673 enrollees who had not used opioids.

CONCLUSIONS

As the opioid crisis progressed between July 2012 and December 2017, many providers stopped initiating opioid therapy. Although the number of initial opioid prescriptions declined, a subgroup of providers continued to write high-risk initial opioid prescriptions. (Funded by the National Institute on Aging and a gift from Owen and Linda Robinson.).

Chronic Opioid Use in Rheumatoid Arthritis: Prevalence and Predictors

OBJECTIVE

The opioid epidemic is a major public health concern. However, little is known about opioid use among rheumatoid arthritis (RA) patients. We undertook this study to examine trends in chronic opioid use in RA patients in 2002-2015 and to identify clinical predictors.

METHODS

RA patients were identified from the Corrona registry. Opioid use was ascertained from surveys obtained at clinical visits as often as every 3 months. Chronic opioid use was defined as any opioid use reported during ≥2 consecutive study visits. Annual prevalence of chronic opioid use was calculated using data from 33,739 RA patients with information on opioid use from ≥2 visits. Among the 26,288 individuals who were not taking opioids at baseline, Cox proportional hazards models identified associations between patient characteristics and incident chronic opioid use. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated.

RESULTS

Chronic opioid use increased from 7.4% in 2002 to 16.9% in 2015. Severe pain (HR 2.53 [95% CI 2.19-2.92]) and antidepressant use (HR 1.79 [95% CI 1.64-1.92]) were associated with an increased risk of chronic opioid use. High disease activity (HR 1.55 [95% CI 1.30-1.84]) and a high level of disability (HR 1.45 [95% CI 1.27-1.65]) were also associated with chronic opioid use, whereas Asian ethnicity (HR 0.49 [95% CI 0.36-0.68]) was associated with a decreased risk of chronic opioid use.

CONCLUSION

Among RA patients, chronic opioid use doubled from 2002 to 2015. Pain and antidepressant use were the strongest predictors of chronic opioid use. To curb the rise in chronic opioid use, strategies for stringent control of RA disease activity and management of pain and depression should be research priorities.

Patterns of Opioid Use in the 12 Months Following Geriatric Fragility Fractures: A Population-Based Cohort Study

OBJECTIVES

Fractures of the hip, distal radius, and proximal humerus are common in the Medicare population. This study's objective was to characterize patterns and duration of opioid use, including regional variations in use, after both surgical and nonoperative management.

DESIGN

Population-based cohort study.

SETTING AND PARTICIPANTS

A cohort of opioid-naïve community-dwelling US Medicare beneficiaries who survived a hip, distal radius, or proximal humerus fracture between January 1, 2007 and December 31, 2010. Cohort members were required to be opioid-naïve for 4 months prior to fracture.

MEASURES

We analyzed the proportion of patients with an active opioid prescription in each month following the index fracture, and report continued fills at 12 months postfracture. We also compared opioid prescription use in fractures treated surgically and nonsurgically and characterized state-level variation in opioid prescription use at 3 months postfracture.

RESULTS

There were 91,749 patients included in the cohort. Hip fracture patients had the highest rate of opioid use at 12 months (6.4%), followed by proximal humerus (5.7%), and distal radius (3.7%). Patients who underwent surgical fixation of proximal humerus and wrist fractures had higher rates of opioid use in each of the first 12 postoperative months compared with those managed nonoperatively. There was significant variation of opioid use at the state level, ranging from 7.6% to 18.2% of fracture patients filling opioid prescriptions 3 months after the index fracture.

CONCLUSIONS/IMPLICATIONS

Opioid-naïve patients sustaining fragility fractures of the hip, proximal humerus, or distal radius are at risk to remain on opioid medications 12 months after their index injury, and surgical management of proximal humerus and distal radius fractures increases opioid use in the 12 months after the index fracture. There is significant state-level variation in opiate consumption after index fracture in nonvertebral geriatric fragility fractures. Opportunity exists for targeted quality improvement efforts to reduce the variation in opioid use following common geriatric fragility fractures.