Dataset Information

Patterns of opioid initiation at first visits for pain in United States primary care settings.

ABSTRACT: PURPOSE:The primary objective of this study was to characterize variation in patterns of opioid prescribing within primary care settings at first visits for pain, and to describe variation by condition, geography, and patient characteristics. METHODS:2014 healthcare utilization data from Optum's Clinformatics™ DataMart were used to evaluate individuals 18 years or older with an initial presentation to primary care for 1 of 10 common pain conditions. The main outcomes assessed were (1) the proportion of first visits for pain associated with an opioid prescription fill and (2) the proportion of opioid prescriptions with >7 days' supply. RESULTS:We identified 205 560 individuals who met inclusion criteria; 9.1% of all visits were associated with an opioid fill, ranging from 4.1% (headache) to 28.2% (dental pain). Approximately half (46%) of all opioid prescriptions supplied more than 7 days, and 10% of prescriptions supplied ?30 days. We observed a 4-fold variation in rates of opioid initiation by state, with highest rates of prescribing in Alabama (16.6%) and lowest rates in New York (3.7%). CONCLUSIONS:In 2014, nearly half of all patients filling opioid prescriptions received more than 7 days' of opioids in an initial prescription. Policies limiting initial supplies have the potential to substantially impact opioid prescribing in the primary care setting.

SUBMITTER: Mundkur ML

PROVIDER: S-EPMC5880749 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Patterns of opioid initiation at first visits for pain in United States primary care settings.

Mundkur Mallika L ML Rough Kathryn K Huybrechts Krista F KF Levin Raisa R Gagne Joshua J JJ Desai Rishi J RJ Patorno Elisabetta E Choudhry Niteesh K NK Bateman Brian T BT

Pharmacoepidemiology and drug safety 20171002 5

<h4>Purpose</h4>The primary objective of this study was to characterize variation in patterns of opioid prescribing within primary care settings at first visits for pain, and to describe variation by condition, geography, and patient characteristics.<h4>Methods</h4>2014 healthcare utilization data from Optum's Clinformatics™ DataMart were used to evaluate individuals 18 years or older with an initial presentation to primary care for 1 of 10 common pain conditions. The main outcomes assessed were ...[more]

PMID: 28971545

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Project description:BackgroundRadiation oncologists (ROs) play an important role in managing cancer pain; however, their opioid prescribing patterns remain poorly described.MethodsThe 2016 Medicare Physician Compare National Downloadable and the 2016 Medicare Part D Prescriber Data files were cross-linked to identify RO-written opioid prescriptions.ResultsOf 4,627 identified ROs, 1,360 (29.3%) wrote >10 opioid prescriptions. The average number of opioid prescriptions written was significantly (P ≤ .05) associated with the following RO characteristics: sex [13.1 ± 36.5 male vs 7.5 ± 16.9 female]; years since medical school graduation [4.5 ± 11.5 1-10 years vs 12.6 ± 26.0 11-24 years vs 13.3 ± 40.9 ≥25 years]; practice size [15.5 ± 44.6 size ≤10 vs 13.3 ± 25.9 size 11-49 vs 8.5 ± 12.7 size 50-99 vs 8.8 ± 26.9 size ≥100]; Medicare Physician Quality Reporting System (PQRS) participation [12.6 ± 31.8 yes vs 7.0 ± 35.4 no]; and practice location [17.4 ± 47.0 South vs 10.6 ± 29.4 Midwest vs 8.1 ± 13.9 West vs 6.9 ± 15.2 Northeast]. On multivariable regression modeling, male sex (RR 1.29, 95% CI 1.22-1.35, P < .001), ≥25 years since graduation (RR 0.78, 95% CI 0.64-0.70, 1-10 years vs ≥25 years; RR 1.00, 95% CI 0.96 - 1.04, 11-24 years vs ≥25 years; P < .001), practice size <10 members (RR 1.51, CI 1.44-1.59, ≤10 vs ≥100 members, RR 1.27, CI 1.20-1.34, 10-49 vs ≥100 members, RR 0.86, CI 0.80-0.92, 50-99 vs ≥100 members, P < .001), PQRS participation (RR 1.12, CI 1.04-1.19, P < .002), and Southern location (RR 0.67, CI 0.64-0.70, Midwest vs South; RR 0.39, CI 0.37-0.41, Northeast vs South; RR 0.43, CI 0.41-0.46, West vs South; P < .001) were predictive of higher opioid prescription rates.ConclusionsFactors associated with increased number of RO-written opioid prescriptions were male sex, ≥25 years since graduation, group practice <10, PQRS participation, and Southern location. Additional research is required to establish optimal opioid prescribing practices for ROs.

Project description:Objectives:Dramatic increases in opioid and drug overdose mortality have occurred in the United States (US) over the past two decades. To address this national public health crisis and identify gaps in the literature, we analyzed recent empirical trends in US drug overdose mortality by key social determinants and conducted a selective review of the recent literature on the magnitude of the opioid crisis facing different racial/ethnic, socioeconomic, and rural-urban segments of the US population. Methods:We used the 1999-2017 mortality data from the US National Vital Statistics System to analyze trends in drug overdose mortality by race/ethnicity, age, and geographic area. Log-linear regression was used to model mortality trends. Using various key words and their combinations, we searched PubMed and Google Scholar for select peer-reviewed journal articles and government reports published on the opioid epidemic between 2010 and 2018. Results:Our original analysis and review indicate marked increases in drug overdose mortality overall and by race/ethnicity and geographic regions, with adolescents and young adults experiencing steep increases in mortality between 1999 and 2017. Our selective search yielded 405 articles, of which 39 publications were selected for detailed review. Suicide mortality from drug overdose among teens aged 12-19 increased consistently between 2009 and 2017, particularly among teen girls. The rise of efficient global supply chains has increased opioid prescription use and undoubtedly contributed to the opioid epidemic. Many other important contributing factors to the epidemic include lack of education and economic opportunities, poor working conditions, and low social capital in disadvantaged communities. Conclusions and Global Health Implications:Our analysis and review indicate substantial disparities in drug overdoses and related mortality, pain management, and treatment outcomes according to social determinants. Increases in drug overdoses and resultant mortality are not only unique to the US, but have also been observed in other industrialized countries. Healthcare systems, community leaders, and policymakers addressing the opioid epidemic should focus on upstream structural factors including education, economic opportunity, social cohesion, racial/ethnic disadvantage, geographic isolation, and life satisfaction.

Project description:OBJECTIVE:To examine the distribution and patterns of opioid prescribing in the United States. DESIGN:Retrospective, observational study. SETTING:National private insurer covering all 50 US states and Washington DC. PARTICIPANTS:An annual average of 669?495 providers prescribing 8.9 million opioid prescriptions to 3.9 million patients from 2003 through 2017. MAIN OUTCOME MEASURES:Standardized doses of opioids in morphine milligram equivalents (MMEs) and number of opioid prescriptions. RESULTS:In 2017, the top 1% of providers accounted for 49% of all opioid doses and 27% of all opioid prescriptions. In absolute terms, the top 1% of providers prescribed an average of 748?000 MMEs-nearly 1000 times more than the middle 1%. At least half of all providers in the top 1% in one year were also in the top 1% in adjacent years. More than two fifths of all prescriptions written by the top 1% of providers were for more than 50 MMEs a day and over four fifths were for longer than seven days. In contrast, prescriptions written by the bottom 99% of providers were below these thresholds, with 86% of prescriptions for less than 50 MMEs a day and 71% for fewer than seven days. Providers prescribing high amounts of opioids and patients receiving high amounts of opioids persisted over time, with over half of both appearing in adjacent years. CONCLUSIONS:Most prescriptions written by the majority of providers are under the recommended thresholds, suggesting that most US providers are careful in their prescribing. Interventions focusing on this group of providers are unlikely to effect beneficial change and could induce unnecessary burden. A large proportion of providers have established relationships with their patients over multiple years. Interventions to reduce inappropriate opioid prescribing should be focused on improving patient care, management of patients with complex pain, and reducing comorbidities rather than seeking to enforce a threshold for prescribing.

Project description:ImportancePrescription opioids are frequently prescribed to treat cancer-related pain. However, limited information exists regarding rates of prescription opioid use and misuse in populations with cancer.ObjectivesTo estimate the prevalence and likelihood of prescription opioid use and misuse in adult cancer survivors compared with respondents without cancer and to identify characteristics associated with prescription opioid use and misuse in adult cancer survivors.Design, setting, and participantsThis cross-sectional study is a retrospective, population-based study using data from 169 162 respondents to the National Survey on Drug Use and Health from January 2015 to December 2018. Survey data sets were queried for all respondents aged 18 years or older. Those with a reported history of cancer were termed cancer survivors and further divided into more recent (had cancer within 12 months of survey) and less recent (had cancer more than 12 months prior to survey) cohorts. Respondents with nonmelanoma skin cancer were excluded.Main outcomes and measuresPrescription opioid use and misuse within the past 12 months.ResultsAmong 169 162 respondents, 5139 (5.2%) were cancer survivors, with 1243 (1.2%) and 3896 (4.0%) reporting having more recent and less recent cancer histories, respectively. Higher rates of prescription opioid use were observed among more recent cancer survivors (54.3%; 95% CI, 50.2%-58.4%; odds ratio [OR], 1.86; 95% CI, 1.57-2.20; P < .001) and less recent cancer survivors (39.2%; 95% CI, 37.3%-41.2%; OR, 1.18; 95% CI, 1.08-1.28; P < .001) compared with respondents without cancer (30.5%, reference group). Rates of prescription opioid misuse were similar among more recent (3.5%; 95% CI, 2.4%-5.2%; OR, 1.27; 95% CI, 0.82-1.96; P = .36) and less recent (3.0%; 95% CI, 2.4%-3.6%; OR, 1.03; 95% CI, 0.83-1.28; P = .76) survivors compared with respondents without cancer (4.3%, reference group). Younger age (aged 18-34 years vs ≥65 years: OR, 7.06; 95% CI, 3.03-16.41; P < .001), alcohol use disorder (OR, 3.22; 95% CI, 1.45-7.14; P = .005), and nonopioid drug use disorder (OR, 14.76; 95% CI, 7.40-29.44; P < .001) were associated with prescription opioid misuse among cancer survivors.Conclusions and relevanceIn this study, prescription opioid use was higher among more and less recent cancer survivors compared with the population without a history of cancer. Rates of prescription opioid misuse were low and similar among all 3 cohorts. These findings suggest that higher prescription opioid use among cancer survivors may not correspond to increased short-term or long-term misuse.

Dataset Information

Patterns of opioid initiation at first visits for pain in United States primary care settings.

Publications

Patterns of opioid initiation at first visits for pain in United States primary care settings.

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