Dataset Information

Patterns of Initial Opioid Prescribing to Opioid-Naive Patients.

ABSTRACT:

Objective

To determine the proportion of initial opioid prescriptions for opioid-naive patients prescribed by surgeons, dentists, and emergency physicians. We hypothesized that the percentage of such prescriptions grew as scrutiny of primary care and pain medicine opioid prescribing increased and guidelines were developed.

Summary of background data

Data regarding the types of care for which opioid-naive patients are provided initial opioid prescriptions are limited.

Methods

A retrospective cross-sectional study using a nationwide insurance claims dataset to study US adults aged 18 to 64 years. Our primary outcome was a change in opioid prescription share for opioid-naive patients undergoing surgical, emergency, and dental care from 2010 to 2016; we also examined the type and amounts of opioid filled.

Results

From 87,941,718 analyzed lives, we identified 16,292,018 opioid prescriptions filled by opioid-naive patients. The proportion of prescriptions for patients receiving surgery, emergency, and dental care increased by 15.8% from 2010 to 2016 (P < 0.001), with the greatest increases related to surgical (18.1%) and dental (67.8%) prescribing. In 2016, surgery patients filled 22.0% of initial prescriptions, emergency medicine patients 13.0%, and dental patients 4.2%. Surgical patients' mean total oral morphine equivalents per prescription increased from 240?mg (SD 509) in 2010 to 403?mg (SD 1369) in 2016 (P < 0.001). Over the study period, surgical patients received the highest proportion of potent opioids (90.2% received hydrocodone or oxycodone).

Conclusions

Initial opioid prescribing attributable to surgical and dental care is increasing relative to primary and chronic pain care. Evidence-based guideline development for surgical and dental prescribing is warranted in order to curb iatrogenic opioid morbidity and mortality.

SUBMITTER: Larach DB

PROVIDER: S-EPMC7047513 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Patterns of Initial Opioid Prescribing to Opioid-Naive Patients.

Larach Daniel B DB Waljee Jennifer F JF Hu Hsou-Mei HM Lee Jay S JS Nalliah Romesh R Englesbe Michael J MJ Brummett Chad M CM

Annals of surgery 20200201 2

<h4>Objective</h4>To determine the proportion of initial opioid prescriptions for opioid-naive patients prescribed by surgeons, dentists, and emergency physicians. We hypothesized that the percentage of such prescriptions grew as scrutiny of primary care and pain medicine opioid prescribing increased and guidelines were developed.<h4>Summary of background data</h4>Data regarding the types of care for which opioid-naive patients are provided initial opioid prescriptions are limited.<h4>Methods</h ...[more]

PMID: 30048311

Similar Datasets

Project description:BackgroundLong-term efficacy of opioids for non-cancer pain is unproven, but risks argue for cautious prescribing. Few data suggest how long or how much opioid can be prescribed for opioid-naïve patients without inadvertently promoting long-term use.ObjectiveTo examine the association between initial opioid prescribing patterns and likelihood of long-term use among opioid-naïve patients.DesignRetrospective cohort study; data from Oregon resident prescriptions linked to death certificates and hospital discharges.ParticipantsPatients filling opioid prescriptions between October 1, 2012, and September 30, 2013, with no opioid fills for the previous 365 days. Subgroup analyses examined patients under age 45 who did not die in the follow-up year, excluding most cancer or palliative care patients.Main measuresExposure: Numbers of prescription fills and cumulative morphine milligram equivalents (MMEs) dispensed during 30 days following opioid initiation ("initiation month").OutcomeProportion of patients with six or more opioid fills during the subsequent year ("long-term users").Key resultsThere were 536,767 opioid-naïve patients who filled an opioid prescription. Of these, 26,785 (5.0 %) became long-term users. Numbers of fills and cumulative MMEs during the initiation month were associated with long-term use. Among patients under age 45 using short-acting opioids who did not die in the follow-up year, the adjusted odds ratio (OR) for long-term use among those receiving two fills versus one was 2.25 (95 % CI: 2.17, 2.33). Compared to those who received?<?120 total MMEs, those who received between 400 and 799 had an OR of 2.96 (95 % CI: 2.81, 3.11). Patients initiating with long-acting opioids had a higher risk of long-term use than those initiating with short-acting drugs.ConclusionsEarly opioid prescribing patterns are associated with long-term use. While patient characteristics are important, clinicians have greater control over initial prescribing. Our findings may help minimize the risk of inadvertently initiating long-term opioid use.

Project description:BACKGROUND:New persistent opioid use is a common postoperative complication, with 6% of previously opioid-naïve patients continuing to fill opioid prescriptions 3-6 months after surgery. Despite these risks, it is unknown which specialties prescribe opioids to these vulnerable patients. OBJECTIVE:To identify specialties prescribing opioids to surgical patients who develop new persistent opioid use. DESIGN, SETTING, AND PARTICIPANTS:Using a national dataset of insurance claims, we identified opioid-naïve patients aged 18-64 years undergoing surgical procedures (2008-2014) who continued filling opioid prescriptions 3 to 6 months after surgery. We then examined opioid prescriptions claims during the 12 months after surgery, and identified prescribing physician specialty using National Provider Identifier codes. MAIN MEASURES:Percentage of opioid prescriptions provided by each specialty evaluated at 90-day intervals during the 12 months after surgery. KEY RESULTS:We identified 5276 opioid-naïve patients who developed new persistent opioid use. During the first 3 months after surgery, surgeons accounted for 69% of opioid prescriptions, primary care physicians accounted for 13%, Emergency Medicine accounted for 2%, Physical Medicine & Rehabilitation (PM&R)/Pain Medicine accounted for 1%, and all other specialties accounted for 15%. In contrast, 9 to 12 months after surgery, surgeons accounted for only 11% of opioid prescriptions, primary care physicians accounted for 53%, Emergency Medicine accounted for 5%, PM&R/Pain Medicine accounted for 6%, and all other specialties provided 25%. CONCLUSIONS:Among surgical patients who developed new persistent opioid use, surgeons provide the majority of opioid prescriptions during the first 3 months after surgery. By 9 to 12 months after surgery, however, the majority of opioid prescriptions were provided by primary care physicians. Enhanced care coordination between surgeons and primary care physicians could allow earlier identification of patients at risk for new persistent opioid use to prevent misuse and dependence.

Project description:OBJECTIVE:This study examined opioid prescription initiation patterns and their association with short-term and long-term opioid use among opioid-naïve patients. DESIGN:This study was designed as a retrospective cohort study. SETTING AND PARTICIPANTS:In this study, we analysed the prescription databases of tertiary hospitals in Malaysia. This study included patients aged ≥18 years with at least one opioid prescription (buprenorphine, morphine, oxycodone, fentanyl, dihydrocodeine or tramadol) between 1 January 2011 and 31 December 2016. These patients had no opioid prescriptions in the 365 days prior, and were followed up for 365 days after the initial opioid prescription. MAIN OUTCOME MEASURES:The main outcome measures were the number of short-term (<90 days) and long-term opioid users (≥90 days), initial opioid prescription period and daily dose. RESULTS:There were 33 752 opioid-naïve patients who received opioid prescriptions (n=43 432 prescriptions) during the study period. Of these, 29 824 (88.36%) were short-term opioid users and 3928 (11.64%) were long-term opioid users. The majority of these short-term (99.09%) and long-term users (96.18%) received an initial daily opioid dose of <50 mg/day with a short-acting opioid formulation. Short-term opioid users were predominantly prescribed opioids for 3-7 days (59.06%) by the emergency department (ED, 60.56%), while long-term opioid users were primarily prescribed opioids for ≥7 days (91.85%) by non-ED hospital departments (91.8%). The adjusted model showed that the following were associated with long-term opioid use: increasing opioid daily doses, prescription period ≥7 days and long-acting opioids initiated by non-EDs. CONCLUSIONS:The majority of opioid-naïve patients in tertiary hospital settings in Malaysia were prescribed opioids for short-term use. The progression to long-term use among opioid-naïve patients was attributed to the prescription of higher opioid doses for a longer duration as well as long-acting opioids initiated by non-ED hospital departments.

Project description:BACKGROUND:Emergency physicians provide primary care to patients and often prescribe opioids for acutely painful self-limiting conditions. The objective of this study was to describe patterns of opioid prescribing by emergency physicians and family physicians and to explore the relation between setting of initiation of opioid treatment and adverse events over the subsequent 2 years. METHODS:This was a population-based cohort study using administrative data from Ontario. Opioid-naive patients aged 15-64 years who received an opioid prescription for noncancer pain from an emergency or family physician between Apr. 1, 2008, and Mar. 31, 2012 were eligible for inclusion. RESULTS:A total of 34?713 and 45?952 patients were initiated on an opioid by an emergency physicians and family physicians, respectively. Both emergency and family physicians most commonly prescribed codeine-containing products (58.9% and 79.6% of prescriptions, respectively); however, emergency physicians were twice as likely as family physicians to prescribe higher-potency opioids (morphine, oxycodone, hydromorphone, fentanyl, meperidine) (both combination and single-agent preparations) (40.6% v. 19.9%, ? = 20.7, 95% confidence interval [CI] 20.0-21.3). Compared to patients in the family physician group, those in the emergency physician group received significantly higher daily dosages, a higher proportion were initiated on a daily dosage of 100 mg of morphine equivalents (MEQs) or more, and had a hospital admission for opioid toxicity within 2 years (0.5% v. 0.3%, ? = 0.2%, 95% CI 0.1%-0.3%). A higher proportion of patients in the family physician group than in the emergency physician group had dosage escalation beyond 199 mg MEQs within 2 years (0.7% v. 0.1%, ? = 0.6%, 95% CI 0.5%-0.7%). INTERPRETATION:Codeine was the most common opioid prescribed by emergency and family physicians. Compared to patients prescribed opioids by family physicians, those prescribed opioids by emergency physicians received higher initial daily dosages and had an increased likelihood of opioid toxicity.

Project description:BackgroundThe incidence of opioid-related death in women has increased 5-fold over the past decade. For many women, their initial opioid exposure will occur in the setting of routine medical care. Approximately 1 in 3 deliveries in the United States is by cesarean, and opioids are commonly prescribed for postsurgical pain management.ObjectiveThe objective of this study was to determine the risk that opioid-naïve women prescribed opioids after cesarean delivery will subsequently become consistent prescription opioid users in the year following delivery and to identify predictors for this behavior.Study designWe identified women in a database of commercial insurance beneficiaries who underwent cesarean delivery and who were opioid naïve in the year prior to delivery. To identify persistent users of opioids, we used trajectory models, which group together patients with similar patterns of medication filling during follow-up, based on patterns of opioid dispensing in the year following cesarean delivery. We then constructed a multivariable logistic regression model to identify independent risk factors for membership in the persistent user group.ResultsA total of 285 of 80,127 (0.36%, 95% confidence interval, 0.32-0.40), opioid-naïve women became persistent opioid users (identified using trajectory models based on monthly patterns of opioid dispensing) following cesarean delivery. Demographics and baseline comorbidity predicted such use with moderate discrimination (c statistic = 0.73). Significant predictors included a history of cocaine abuse (risk, 7.41%; adjusted odds ratio, 6.11, 95% confidence interval, 1.03-36.31) and other illicit substance abuse (2.36%; adjusted odds ratio, 2.78, 95% confidence interval, 1.12-6.91), tobacco use (1.45%; adjusted odds ratio, 3.04, 95% confidence interval, 2.03-4.55), back pain (0.69%; adjusted odds ratio, 1.74, 95% confidence interval, 1.33-2.29), migraines (0.91%; adjusted odds ratio, 2.14, 95% confidence interval, 1.58-2.90), antidepressant use (1.34%; adjusted odds ratio, 3.19, 95% confidence interval, 2.41-4.23), and benzodiazepine use (1.99%; adjusted odds ratio, 3.72, 95% confidence interval, 2.64-5.26) in the year prior to the cesarean delivery.ConclusionA very small proportion of opioid-naïve women (approximately 1 in 300) become persistent prescription opioid users following cesarean delivery. Preexisting psychiatric comorbidity, certain pain conditions, and substance use/abuse conditions identifiable at the time of initial opioid prescribing were predictors of persistent use.

Dataset Information

Patterns of Initial Opioid Prescribing to Opioid-Naive Patients.

Objective

Summary of background data

Methods

Results

Conclusions

Publications

Patterns of Initial Opioid Prescribing to Opioid-Naive Patients.

Similar Datasets

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