Dataset Information

Assessment of Opioid Prescribing Patterns in a Large Network of US Community Health Centers, 2009 to 2018.

ABSTRACT: Importance:Understanding opioid prescribing patterns in community health centers (CHCs) that disproportionately serve low-income patients may help to guide strategies to reduce opioid-related harms. Objective:To assess opioid prescribing patterns between January 1, 2009, and December 31, 2018, in a network of safety-net clinics serving high-risk patients. Design, Setting, and Participants:Cross-sectional study of 3?227?459 opioid prescriptions abstracted from the electronic health records of 2?129?097 unique primary care patients treated from 2009 through 2018 at a network of CHCs that included 449 clinic sites in 17 states. All age groups were included in the analysis. Main Outcomes and Measures:The following measures were described at the population level for each study year: (1) percentage of patients with at least 1 prescription for an opioid by age and sex, (2) number of opioid prescriptions per 100 patients, (3) number of long-acting opioid prescriptions per 100 patients, (4) mean annual morphine milligram equivalents (MMEs) per patient, (5) mean MME per prescription, (6) number of chronic opioid users, and (7) mean of high-dose opioid users. Results:The study population included 2?129?097 patients (1?158?413 women [54.4%]) with a mean (SD) age of 32.2 (21.1) years and a total of 3?227?459 opioid prescriptions. The percentage of patients receiving at least 1 opioid prescription in a calendar year declined 67.4% from 15.9% in 2009 to 5.2% in 2018. Over the 10-year study period, a greater percentage of women received a prescription (13.1%) compared with men (10.9%), and a greater percentage of non-Hispanic White patients (18.1%) received an opioid prescription compared with non-Hispanic Black patients (9.5%), non-Hispanic patients who self-identified as other races (8.0%), and Hispanic patients (6.9%). The number of opioid prescriptions for every 100 patients decreased 73.7% from 110.8 in 2009 to 29.1 in 2018. The number of long-acting opioids for every 100 patients decreased 85.5% during the same period, from 22.0 to 3.2. The MMEs per patient decreased from 1682.7 in 2009 to 243.1 in 2018, a decline of 85.6%. Conclusions and Relevance:In this cross-sectional study, the opioid prescribing rate in 2009 in the CHC network was higher than national population estimates but began to decline earlier and more precipitously. This finding likely reflects harm mitigation policies and efforts at federal, state, and clinic levels and strong clinical quality improvement strategies within the CHCs.

SUBMITTER: Muench J

PROVIDER: S-EPMC7501536 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Assessment of Opioid Prescribing Patterns in a Large Network of US Community Health Centers, 2009 to 2018.

Muench John J Fankhauser Katie K Voss Robert W RW Huguet Nathalie N Hartung Daniel M DM O'Malley Jean J Bailey Steffani R SR Cowburn Stuart S Wright Dagan D Barker Gordon G Ukhanova Maria M Chamine Irina I

JAMA network open 20200901 9

<h4>Importance</h4>Understanding opioid prescribing patterns in community health centers (CHCs) that disproportionately serve low-income patients may help to guide strategies to reduce opioid-related harms.<h4>Objective</h4>To assess opioid prescribing patterns between January 1, 2009, and December 31, 2018, in a network of safety-net clinics serving high-risk patients.<h4>Design, setting, and participants</h4>Cross-sectional study of 3 227 459 opioid prescriptions abstracted from the electronic ...[more]

PMID: 32945874

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Project description:ImportanceOpioid-tolerant only (OTO) medications, such as transmucosal immediate-release fentanyl products and certain extended-release opioid analgesics, require prior opioid tolerance for safe use, as patients without tolerance may be at increased risk of overdose. Studies using insurance claims have found that many patients initiating these medications do not appear to be opioid tolerant.ObjectivesTo measure prevalence of opioid tolerance in patients initiating OTO medications and to determine whether linked electronic health record (EHR) data contribute evidence of opioid tolerance not found in insurance claims data.Design, setting, and participantsThis retrospective cohort study used a national database of deidentified longitudinal health information, including medical and pharmacy claims, insurance enrollment, and EHR data, from January 1, 2007, to December 31, 2016. Data included 131 756 US residents with at least 183 days of continuous enrollment in commercial or Medicare Advantage insurance (including medical and pharmacy benefits) who had received an OTO medication and who had no inpatient stays in the 30 days prior to starting an OTO medication; of these, 20 044 individuals had linked EHR data within the prior 183 days. Data were analyzed from July 1, 2017, to August 31, 2018.ExposuresInitiating an OTO medication.Main outcomes and measuresPrior opioid tolerance demonstrated through pharmacy fills or EHR data on prescriptions written.ResultsAmong 153 385 OTO use episodes identified, 89 029 (58.0%) occurred among women, 62 900 (41.0%) occurred among patients with Medicare Advantage insurance, 39 394 (25.7%) occurred in the Midwest, 17 366 (11.3%) occurred in the Northeast, 73 316 (47.8%) occurred in the South, and 23 309 (15.2%) occurred in the West. Less than half of use episodes (73 117 episodes [47.7%]) involved patients with evidence in claims data of opioid tolerance prior to initiating therapy with an OTO medication, including 31 392 of 101 676 episodes (30.9%) involving transdermal fentanyl, 1561 of 2440 episodes (64.0%) involving transmucosal fentanyl, 36 596 of 43 559 episodes (84.0%) involving extended-release oxycodone, and 3568 of 5710 episodes (62.5%) involving extended-release hydromorphone. Among 20 044 OTO use episodes with linked EHR and claims data, less than 1% of OTO episodes identified in claims had evidence of opioid tolerance in structured EHR data that was not present in claims data (108 episodes [0.5%]). After limiting the sample to OTO episodes identified in claims with a matching OTO prescription within 14 days in the structured EHR data, only 40 of 939 episodes (4.0%) occurred among patients with evidence of tolerance that was not present in claims data.Conclusions and relevanceThis cohort study found that most patients initiating OTO medications did not have evidence of prior opioid tolerance, suggesting they were at increased risk of opioid-related harms, including fatal overdose. Data from EHRs did not contribute substantial additional evidence of opioid tolerance beyond the data found in prescription claims. Future research is needed to understand the clinical rationale behind these observed prescribing patterns and to quantify the risk of harm to patients associated with potentially inappropriate prescribing.

Project description:Importance:The ongoing opioid epidemic in the United States has been fueled by prescription opioids. Increases in opioid-related deaths and complications mandate clinicians in all fields to scrutinize their prescribing patterns. Objective:To characterize the current status and potential complications of opioid prescribing practices among dermatologists for Medicare beneficiaries. Design, Setting, and Participants:A cross-sectional study used Medicare Part D prescriber data to evaluate opioid prescriptions by dermatologists from January 1 to December 31, 2014. The number of prescribers, opioid claims, beneficiaries, and days supplied as well as the type of opioid and geographic location of prescribers were extracted and analyzed. The top 1% of dermatologists prescribing opioids were identified and compared with a random sample of the same size among the remaining dermatologists based on sex, geographic location, type of practice, and time in practice. A systematic literature review was conducted to estimate the outcome of opioid prescribing practices on the exposed population. Main Outcome and Measures:Practice characteristics, epidemiologic factors, and consequences of opioids prescribed by dermatologists. Results:Of the 12 537 dermatologists in the study, 5305 (42.3%) prescribed no opioid claims, 5408 (43.1%) prescribed 1 to 10 opioid claims, and 1824 (14.5%) prescribed more than 10 opioid claims. Among dermatologists prescribing at least 10 opioid claims, a mean of 1.0 opioid claims was given to each beneficiary, with a supply lasting a mean of 4.4 days. A total of 108 dermatologists (93.9%) in the top 1% of opioid prescribers (n = 115) work in a surgical practice. Estimates suggest that opioids prescribed by dermatologists could annually lead to 3877 to 7602 beneficiaries continuing to use opioids at 1 year and 1825 to 4209 continuing to use opioids at 3 years. A total of 9882 to 22 806 beneficiaries could experience gastrointestinal tract or central nervous system adverse effects and 588 to 999 could experience fractures. Conclusions and Relevance:Opioid prescribing among dermatologists is limited and concentrated in the surgical setting, but it may be associated with a substantial number of adverse events that serve as a reminder to emphasize nonopioid pain medications in the postoperative setting.

Project description:ImportanceSafe opioid prescribing practices are critical to mitigate the risk of prescription opioid overdose in adolescents and young adults. However, studies that examine opioid prescribing patterns associated with prescription opioid overdose have mostly focused on older adults. The generalizability of these studies to adolescents and young adults is unclear.ObjectiveTo identify opioid prescribing patterns associated with prescription opioid overdose in adolescents and young adults.Design, setting, and participantsThis retrospective cohort study assessed privately insured patients aged 12 to 21 years with opioid prescription claims in the IBM MarketScan Commercial Claims and Encounters database between July 1, 2009, and October 1, 2017, and no cancer diagnosis. Data analysis was performed from January 1 to April 30, 2019.Main outcomes and measuresThe outcome was a treated opioid overdose as indicated by diagnosis codes. On the basis of days supplied, opioid prescription claims were converted to person-days (the unit of analysis) on which opioid exposure would occur if patients took medications as prescribed. Logistic regression with clustered SEs at the patient level was used to model the occurrence of overdose on a person-day as a function of daily opioid dosage category (<30, 30-59, 60-89, 90-119, or ≥120 morphine milligram equivalents), concurrent benzodiazepine use, and extended-release or long-acting opioid use. Regressions controlled for demographic characteristics, year, opioid use within 180 days, and comorbidities (mental health disorder, substance use disorder, and other chronic condition).ResultsA total of 2 752 612 patients (mean [SD] age at cohort entry, 17.2 [2.5] years; 1 451 918 [52.8%] female) participated in the study. Patients had 4 686 355 opioid prescription claims, corresponding to 21 605 444 person-days. Overdose occurred on 255 person-days among 249 patients (0.01% of the sample). Each increase in daily opioid dosage category was associated with higher overdose risk (adjusted odds ratio [AOR], 1.18; 95% CI, 1.05-1.31). Compared with no use, both concurrent benzodiazepine use (AOR, 1.83; 95% CI, 1.24-2.71) and extended-release or long-acting opioid use (AOR, 2.01; 95% CI, 1.16-3.46) were associated with increased overdose risk.Conclusions and relevanceThe findings suggest that when prescribing opioids to adolescents and young adults, practitioners could potentially mitigate overdose risk by using the lowest effective daily dosage, avoiding concurrent opioid and benzodiazepine prescribing, and relying on short-acting opioids. Findings are broadly consistent with prior opioid safety studies focused on older adults.

Dataset Information

Assessment of Opioid Prescribing Patterns in a Large Network of US Community Health Centers, 2009 to 2018.

Publications

Assessment of Opioid Prescribing Patterns in a Large Network of US Community Health Centers, 2009 to 2018.

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