Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-17 (of 17 Records) |
Query Trace: Mikosz CA[original query] |
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Longitudinal dose patterns among patients newly initiated on long-term opioid therapy in the United States, 2018 to 2019: an observational cohort study and time-series cluster analysis
Rikard SM , Nataraj N , Nataraj N , Strahan AE , Mikosz CA , Guy GP Jr . Pain 2023 164 (12) 2675-2683 Opioid prescribing varies widely, and prescribed opioid dosages for an individual can fluctuate over time. Patterns in daily opioid dosage among patients prescribed long-term opioid therapy have not been previously examined. This study uses a novel application of time-series cluster analysis to characterize and visualize daily opioid dosage trajectories and associated demographic characteristics of patients newly initiated on long-term opioid therapy. We used 2018 to 2019 data from the IQVIA Longitudinal Prescription (LRx) all-payer pharmacy database, which covers 92% of retail pharmacy prescriptions dispensed in the United States. We identified a cohort of 277,967 patients newly initiated on long-term opioid therapy during 2018. Patients were stratified into 4 categories based on their mean daily dosage during a 90-day baseline period (<50, 50-89, 90-149, and ≥150 morphine milligram equivalent [MME]) and followed for a 270-day follow-up period. Time-series cluster analysis identified 2 clusters for each of the 3 baseline dosage categories <150 MME and 3 clusters for the baseline dosage category ≥150 MME. One cluster in each baseline dosage category comprised opioid dosage trajectories with decreases in dosage at the end of the follow-up period (80.7%, 98.7%, 98.7%, and 99.0%, respectively), discontinuation (58.5%, 80.0%, 79.3%, and 81.7%, respectively), and rapid tapering (50.8%, 85.8%, 87.5%, and 92.9%, respectively). These findings indicate multiple clusters of patients newly initiated on long-term opioid therapy who experience discontinuation and rapid tapering and highlight potential areas for clinician training to advance evidence-based guideline-concordant opioid prescribing, including strategies to minimize sudden dosage changes, discontinuation, or rapid tapering, and the importance of shared decision-making. |
Supporting evidence-based care through informatics innovation to address the overdose epidemic
Sargent WM Jr , Mikosz CA , Baker EL . J Public Health Manag Pract 2023 29 (4) 598-600 The drug overdose crisis in the United States continues to evolve, driven by overdose deaths involving synthetic opioids, often in combination with other substances, highlighting the need for adapting and innovating evidence-based prevention and response strategies.1 The Centers for Disease Control and Prevention (CDC) reports that 106 699 Americans died of drug overdoses in 2021, an increase of nearly 14% from 93 655 deaths in 2020.2 As public health leaders engage in the complex process of prevention on a population and individual basis, close strategic partnerships between public health and health care delivery systems have become increasingly important. Informatics innovation offers a timely and practical avenue to enhance these partnerships. For example, a recent publication3 on the West Virginia Prescription Drug Monitoring Program (PDMP) demonstrated the benefit of informatics innovation to support clinical decision-making and surveillance as vital components of that state's strategic partnerships that focus on the opioid overdose epidemic. |
Factors That Affect Opioid Quality Improvement Initiatives in Primary Care: Insights from Ten Health Systems
Childs E , Tano CA , Mikosz CA , Parchman ML , Hersey CL , Keane N , Shoemaker-Hunt SJ , Losby JL . Jt Comm J Qual Patient Saf 2023 49 (1) 26-33 OBJECTIVE: To improve patient safety and pain management, the Centers for Disease Control and Prevention (CDC) released the Guideline for Prescribing Opioids for Chronic Pain (CDC Guideline). Recognizing that issuing a guideline alone is insufficient for transforming practice, CDC supported an Opioid Quality Improvement (QI) Collaborative, consisting of 10 health care systems that represented more than 120 practices across the United States. The research team identified factors related to implementation success using domains described by the integrated Promoting Action on Research Implementation in Health Services (iPARIHS) implementation science framework. METHODS: Data from interviews, notes from check-in calls, and documents provided by systems were used. The researchers collected data throughout the project through interviews, meeting notes, and documents. RESULTS: The iPARIHS framework was used to identify factors that affected implementation related to the context, innovation (implementing recommendations from the CDC Guideline), recipient (clinicians), and facilitation (QI team). Contextual characteristics were at the clinic, health system, and broader external context, including staffing and leadership support, previous QI experience, and state laws. Characteristics of the innovation were its adaptability and challenges operationalizing the measures. Recipient characteristics included belief in the importance of the innovation but challenges engaging in the initiative. Finally, facilitation characteristics driving differential outcomes included staffing and available time of the QI team, the ability to make changes, and experience with QI. CONCLUSION: As health care systems continue to implement the CDC Guideline, these insights can advance successful implementation efforts by describing common implementation challenges and identifying strategies to prepare for and overcome them. |
Medical costs of substance use disorders in the US employer-sponsored insurance population
Li M , Peterson C , Xu L , Mikosz CA , Luo F . JAMA Netw Open 2023 6 (1) e2252378 IMPORTANCE: Direct costs of substance use disorders (SUDs) in the United States are incurred primarily among the working-age population. Quantifying the medical cost of SUDs in the employer-sponsored insurance (ESI) population can improve understanding of how SUDs are affecting workplaces and inform decision-making on the value of prevention strategies. OBJECTIVE: To estimate the annual attributable medical cost of SUDs in the ESI population from the health care payer perspective. DESIGN, SETTING, AND PARTICIPANTS: In this economic evaluation, Merative MarketScan 2018 databases were weighted to represent the non-Medicare eligible ESI population. Regression and mathematical modeling of medical expenditures controlled for insurance enrollee demographic, clinical, and insurance factors to compare enrollees with and without an SUD diagnosis to identify the annual attributable medical cost of SUDs. Data analysis was conducted from January to March 2022. EXPOSURES: International Statistical Classification of Diseases, Tenth Revision, Clinical Modification SUD diagnoses on inpatient or outpatient medical records according to Clinical Classifications Software categories (alcohol-, cannabis-, hallucinogen-, inhalant-, opioid-, sedative-, stimulant-, and other substance-related disorders). MAIN OUTCOMES AND MEASURES: Annual SUD medical cost in the ESI population overall and by substance type (eg, alcohol). Number of enrollees with an SUD diagnosis and the annual mean cost per affected enrollee of SUD diagnosis (any and by substance type) are also reported. RESULTS: Among 162 million ESI enrollees, 2.3 million (1.4%) had an SUD diagnosis in 2018. The regression analysis sample included 21 225 individuals with an SUD diagnosis (121 357 [57.7%] male individuals; 68 325 [32.5%] aged 25-44 years) and 1 049 539 individuals with no SUD diagnosis. The mean annual medical cost attributable to SUD diagnosis per affected enrollee was $15 640 (95% CI, $15 340-$15 940), and the total annual medical cost in the ESI population was $35.3 billion (2018 USD). Alcohol use disorder ($10.2 billion) and opioid use disorder ($7.3 billion) were the most costly. CONCLUSIONS AND RELEVANCE: In this economic evaluation of medical expenditures in the ESI population, the per-person and total medical costs of SUDs were substantial. Strategies to support employees and their health insurance dependents to prevent and treat SUDs can be considered in terms of potentially offsetting the existing high medical cost of SUDs. Medical expenditures for SUDs represent the minimum direct cost that employers and health insurers face because not all people with SUDs have a diagnosis, and costs related to absenteeism, presenteeism, job retention, and mortality are not addressed. |
Changes in opioid dispensing by medical specialties after release of the 2016 CDC guideline for prescribing opioids for chronic pain
Salvatore PP , Guy GP , Mikosz CA . Pain Med 2022 23 (11) 1908-1914 OBJECTIVE: To identify changes in opioid prescribing across a diverse array of medical specialties following release of the 2016 CDC Guideline for Prescribing Opioids for Chronic Pain. DESIGN: Interrupted time-series analysis using a commercial prescribing database. SUBJECTS: De-identified recipients of opioid prescriptions dispensed at U.S. retail pharmacies between 2015 to 2019. METHODS: Opioid dispensing data were obtained from the IQVIA Longitudinal Prescription (LRx) database, representing over 800 million opioid prescriptions. Monthly dispensing rates, dosage in morphine milligram equivalents (MME), and mean prescription duration were calculated across 29 medical specialties. Changes in dispensing following release of the 2016 CDC Guideline were assessed using interrupted time-series analysis. RESULTS: Declining trends in opioid dispensing accelerated in 24 of 29 specialty groups after the release of the CDC Guideline (p<0.05 for 15 groups). Decreases were greatest among family medicine clinicians, where declines accelerated by 4.4 prescriptions per month per 100,000 persons (p=0.005), and surgeons, where declines accelerated by 3.6 prescriptions per month per 100,000 (p=0.003). CONCLUSIONS: These results illustrate that clinicians likely to provide primary care exhibited the greatest decreases in opioid dispensing. However, specialties outside the scope of the CDC Guideline (e.g., surgery) also exhibited accelerated decreases in prescribing. These declines illustrate that specialties beyond primary care may have interest in evaluating opioid prescribing practices, supporting the importance of specialty-specific guidance that balances individualized risks and benefits of opioids and the role of non-opioid treatments. |
Assessment of annual cost of substance use disorder in US hospitals
Peterson C , Li M , Xu L , Mikosz CA , Luo F . JAMA Netw Open 2021 4 (3) e210242 IMPORTANCE: A persistently high US drug overdose death toll and increasing health care use associated with substance use disorder (SUD) create urgency for comprehensive estimates of attributable direct costs, which can assist in identifying cost-effective ways to prevent SUD and help people to receive effective treatment. OBJECTIVE: To estimate the annual attributable medical cost of SUD in US hospitals from the health care payer perspective. DESIGN, SETTING, AND PARTICIPANTS: This economic evaluation of observational data used multivariable regression analysis and mathematical modeling of hospital encounter costs, controlling for patient demographic, clinical, and insurance characteristics, and compared encounters with and without secondary SUD diagnosis to statistically identify the total attributable cost of SUD. Nationally representative hospital emergency department (ED) and inpatient encounters from the 2017 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample and National Inpatient Sample were studied. Statistical analysis was performed from March to June 2020. EXPOSURES: International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) principal or secondary SUD diagnosis on the hospital discharge record according to the Clinical Classifications Software categories (disorders related to alcohol, cannabis, hallucinogens, inhalants, opioids, sedatives, stimulants, and other substances). MAIN OUTCOMES AND MEASURES: Annual attributable SUD medical cost in hospitals overall and by substance type (eg, alcohol). The number of encounters (ED and inpatient) with SUD diagnosis (principal or secondary) and the mean cost attributable to SUD per encounter by substance type are also reported. RESULTS: This study examined a total of 124 573 175 hospital ED encounters and 33 648 910 hospital inpatient encounters from the 2017 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample and National Inpatient Sample. Total annual estimated attributable SUD medical cost in hospitals was $13.2 billion. By substance type, the cost ranged from $4 million for inhalant-related disorders to $7.6 billion for alcohol-related disorders. CONCLUSIONS AND RELEVANCE: This study's results suggest that the cost of effective prevention and treatment may be substantially offset by a reduction in the high direct medical cost of SUD hospital care. The findings of this study may inform the treatment of patients with SUD during hospitalization, which presents a critical opportunity to engage patients who are at high risk for overdose. Aligning incentives such that prevention cost savings accrue to payers and practitioners that are otherwise responsible for SUD-related medical costs in hospitals and other health care settings may encourage prevention investment. |
Indication-specific opioid prescribing for US patients with Medicaid or private insurance, 2017
Mikosz CA , Zhang K , Haegerich T , Xu L , Losby JL , Greenspan A , Baldwin G , Dowell D . JAMA Netw Open 2020 3 (5) e204514 Importance: Although opioids can be effective medications in certain situations, they are associated with harms, including opioid use disorder and overdose. Studies have revealed unexplained prescribing variation and prescribing mismatched with patient-reported pain for many indications. Objective: To summarize opioid prescribing frequency, dosages, and durations, stratified across numerous painful medical indications. Design, Setting, and Participants: Retrospective cross-sectional analysis of 2017 US administrative claims data among outpatient clinical settings, including postsurgical discharge. Participants had any of 41 different indications associated with nonsurgical acute or chronic pain or postsurgical pain or pain associated with sickle cell disease or active cancer and were enrolled in either private insurance (including Medicare Advantage) in the OptumLabs Data Warehouse data set (n = 18016259) or Medicaid in the IBM MarketScan Multi-State Medicaid Database (n = 11453392). OptumLabs data were analyzed from October 2018 to March 2019; MarketScan data were analyzed from January to April 2019. Exposures: Nonsurgical acute or chronic pain or postsurgical pain; pain related to sickle cell disease or active cancer. Main Outcomes and Measures: Indication-specific opioid prescribing rates; days' supply per prescription; daily opioid dosage in morphine milligram equivalents; and for chronic pain indications, the number of opioid prescriptions. Results: During the study period, of 18016259 eligible patients with private insurance, the mean (95% CI) age was 42.7 (42.7-42.7) years, and 50.3% were female; of 11453392 eligible Medicaid enrollees, the mean (95% CI) age was 20.4 (20.4-20.4) years, and 56.1% were female. A pain-related indication under study occurred in at least 1 visit among 6380694 patients with private insurance (35.4%) and 3169831 Medicaid enrollees (27.7%); 2270596 (35.6% of 6380694) privately insured patients and 1126508 (35.5% of 3169831) Medicaid enrollees had 1 or more opioid prescriptions. Nonsurgical acute pain opioid prescribing rates were lowest for acute migraines (privately insured, 4.6% of visits; Medicaid, 6.6%) and highest for rib fractures (privately insured, 44.8% of visits; Medicaid, 56.3%), with variable days' supply but similar daily dosage across most indications. Opioid prescribing for a given chronic pain indication varied depending on a patient's opioid use history. Days' supply for postoperative prescriptions was longest for combined spinal decompression and fusion (privately insured, 9.5 days [95% CI, 9.4-9.7 days]) or spinal fusion (Medicaid, 9.1 days [95% CI, 8.9-9.2 days]) and was shortest for vaginal delivery (privately insured, 4.1 days [95% CI, 4.1-4.1 days] vs Medicaid, 4.2 days [95% CI, 4.2-4.2 days]). Conclusions and Relevance: Indication-specific opioid prescribing rates were not always aligned with existing guidelines. Potential inconsistencies between prescribing practice and clinical recommendations, such as for acute and chronic back pain, highlight opportunities to enhance pain management and patient safety. |
Update: Interim guidance for health care professionals evaluating and caring for patients with suspected e-cigarette, or vaping, product use-associated lung injury and for reducing the risk for rehospitalization and death following hospital discharge - United States, December 2019
Evans ME , Twentyman E , Click ES , Goodman AB , Weissman DN , Kiernan E , Hocevar SA , Mikosz CA , Danielson M , Anderson KN , Ellington S , Lozier MJ , Pollack LA , Rose DA , Krishnasamy V , Jones CM , Briss P , King BA , Wiltz JL . MMWR Morb Mortal Wkly Rep 2020 68 (5152) 1189-1194 What is already known on this topic? In a recent examination of rehospitalization and death among previously hospitalized patients with e-cigarette or vaping, product use–associated lung injury (EVALI), at least one quarter of rehospitalizations and deaths occurred within 2 days of discharge; comorbidities were common among patients who were rehospitalized or who died after discharge. What is added by this report? Updated guidance recommends posthospitalization outpatient follow-up, optimally within 48 hours of discharge, and emphasizes the importance of preparation for hospital discharge and postdischarge care coordination to reduce risk of rehospitalization and death among hospitalized EVALI patients. What are the implications for public health practice? Incorporating this updated guidance into the management of hospitalized EVALI patients might reduce EVALI-associated morbidity and mortality. © 2020 Department of Health and Human Services. All rights reserved. |
Update: Demographic, product, and substance-use characteristics of hospitalized patients in a nationwide outbreak of e-cigarette, or vaping, product use-associated lung injuries - United States, December 2019
Lozier MJ , Wallace B , Anderson K , Ellington S , Jones CM , Rose D , Baldwin G , King BA , Briss P , Mikosz CA . MMWR Morb Mortal Wkly Rep 2019 68 (49) 1142-1148 What is already known about this topic? Patients with e-cigarette, or vaping, product use–associated lung injury (EVALI) in Illinois and Wisconsin reported using a variety of tetrahydrocannabinol (THC)-containing products in the 3 months preceding illness; a product labeled “Dank Vapes” was most commonly reported. What is added by this report? Nationally, Dank Vapes were the most commonly reported THC-containing product by hospitalized EVALI patients, but a wide variety of products were reported, with regional differences. Data suggest the outbreak might have peaked in mid-September. What are the implications for public health practice? These data further support the association of EVALI with THC-containing products; it is unlikely that one brand is responsible for the outbreak. CDC recommends that persons not use e-cigarette, or vaping, products that contain THC. © 2019 Department of Health and Human Services. All rights reserved. |
Characteristics of patients experiencing rehospitalization or death after hospital discharge in a nationwide outbreak of e-cigarette, or vaping, product use-associated lung injury - United States, 2019
Mikosz CA , Danielson M , Anderson KN , Pollack LA , Currie DW , Njai R , Evans ME , Goodman AB , Twentyman E , Wiltz JL , Rose DA , Krishnasamy V , King BA , Jones CM , Briss P , Lozier M , Ellington S . MMWR Morb Mortal Wkly Rep 2020 68 (5152) 1183-1188 Summary What is already known about this topic? Some patients hospitalized for e-cigarette, or vaping, product use–associated lung injury (EVALI) have been rehospitalized or have died after hospital discharge. What is added by this report? Compared with other EVALI patients, rehospitalized patients and patients who died after hospital discharge were more likely to have one or more chronic conditions, including cardiac disease, chronic pulmonary disease, and diabetes, and to be older. At least one quarter of rehospitalizations and deaths occurred within 2 days after discharge. What are the implications for public health practice? Intensive discharge planning, ensuring clinical stability before discharge, optimized case management, and follow-up optimally within 48 hours after hospital discharge might minimize EVALI patients’ risk for rehospitalization and death, especially among patients with chronic conditions. © 2020 Department of Health and Human Services. All rights reserved. |
Pulmonary illness related to e-cigarette use in Illinois and Wisconsin - preliminary report
Layden JE , Ghinai I , Pray I , Kimball A , Layer M , Tenforde M , Navon L , Hoots B , Salvatore PP , Elderbrook M , Haupt T , Kanne J , Patel MT , Saathoff-Huber L , King BA , Schier JG , Mikosz CA , Meiman J . N Engl J Med 2019 382 (10) 903-916 BACKGROUND: E-cigarettes are battery-operated devices that heat a liquid and deliver an aerosolized product to the user. Pulmonary illnesses related to e-cigarette use have been reported, but no large series has been described. In July 2019, the Wisconsin Department of Health Services and the Illinois Department of Public Health received reports of pulmonary disease associated with the use of e-cigarettes (also called vaping) and launched a coordinated public health investigation. METHODS: We defined case patients as persons who reported use of e-cigarette devices and related products in the 90 days before symptom onset and had pulmonary infiltrates on imaging and whose illnesses were not attributed to other causes. Medical record abstraction and case patient interviews were conducted with the use of standardized tools. RESULTS: There were 53 case patients, 83% of whom were male; the median age of the patients was 19 years. The majority of patients presented with respiratory symptoms (98%), gastrointestinal symptoms (81%), and constitutional symptoms (100%). All case patients had bilateral infiltrates on chest imaging (which was part of the case definition). A total of 94% of the patients were hospitalized, 32% underwent intubation and mechanical ventilation, and one death was reported. A total of 84% of the patients reported having used tetrahydrocannabinol products in e-cigarette devices, although a wide variety of products and devices was reported. Syndromic surveillance data from Illinois showed that the mean monthly rate of visits related to severe respiratory illness in June through August of 2019 was twice the rate that was observed in the same months in 2018. CONCLUSIONS: Case patients presented with similar clinical characteristics. Although the features of e-cigarette use that were responsible for injury have not been identified, this cluster of illnesses represents an emerging clinical syndrome or syndromes. Additional work is needed to characterize the pathophysiology and to identify the definitive causes. |
Severe pulmonary disease associated with electronic-cigarette-product use - interim guidance
Schier JG , Meiman JG , Layden J , Mikosz CA , VanFrank B , King BA , Salvatore PP , Weissman DN , Thomas J , Melstrom PC , Baldwin GT , Parker EM , Courtney-Long EA , Krishnasamy VP , Pickens CM , Evans ME , Tsay SV , Powell KM , Kiernan EA , Marynak KL , Adjemian J , Holton K , Armour BS , England LJ , Briss PA , Houry D , Hacker KA , Reagan-Steiner S , Zaki S , Meaney-Delman D . MMWR Morb Mortal Wkly Rep 2019 68 (36) 787-790 On September 6, 2019, this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). As of August 27, 2019, 215 possible cases of severe pulmonary disease associated with the use of electronic cigarette (e-cigarette) products (e.g., devices, liquids, refill pods, and cartridges) had been reported to CDC by 25 state health departments. E-cigarettes are devices that produce an aerosol by heating a liquid containing various chemicals, including nicotine, flavorings, and other additives (e.g., propellants, solvents, and oils). Users inhale the aerosol, including any additives, into their lungs. Aerosols produced by e-cigarettes can contain harmful or potentially harmful substances, including heavy metals such as lead, volatile organic compounds, ultrafine particles, cancer-causing chemicals, or other agents such as chemicals used for cleaning the device (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis, or other drugs; for example, "dabbing" involves superheating substances that contain high concentrations of THC and other plant compounds (e.g., cannabidiol) with the intent of inhaling the aerosol. E-cigarette users could potentially add other substances to the devices. This report summarizes available information and provides interim case definitions and guidance for reporting possible cases of severe pulmonary disease. The guidance in this report reflects data available as of September 6, 2019; guidance will be updated as additional information becomes available. |
U.S. national 90-day readmissions after opioid overdose discharge
Peterson C , Liu Y , Xu L , Nataraj N , Zhang K , Mikosz CA . Am J Prev Med 2019 56 (6) 875-881 INTRODUCTION: U.S. hospital discharges for opioid overdose increased substantially during the past two decades. This brief report describes 90-day readmissions among patients discharged from inpatient stays for opioid overdose. METHODS: In 2018, survey-weighted analysis of hospital stays in the 2016 Healthcare Cost and Utilization Project National Readmissions Database yielded the national estimated proportion of patients with opioid overdose stays that had all-cause readmissions within </=90 days. A multivariable logistic regression model assessed index stay factors associated with readmission by type (opioid overdose or not). Number of readmissions per patient was assessed. RESULTS: More than 24% (n=14,351/58,850) of patients with non-fatal index stays for opioid overdose had at least one all-cause readmission </=90 days of index stay discharge and 3% (n=1,658/58,850) of patients had at least one opioid overdose readmission. Less than 0.2% (n=104/58,850) of patients had more than one readmission for opioid overdose. Patient demographic characteristics (e.g., male, older age), comorbidities diagnosed during the index stay (e.g., drug use disorder, chronic pulmonary disease, psychoses), and other index stay factors (Medicare or Medicaid primary payer, discharge against medical advice) were significantly associated with both opioid overdose and non-opioid overdose readmissions. Nearly 30% of index stays for opioid overdose included heroin, which was significantly associated with opioid overdose readmissions. CONCLUSIONS: A quarter of opioid overdose patients have </=90 days all-cause readmissions, although opioid overdose readmission is uncommon. Effective strategies to reduce readmissions will address substance use disorder as well as comorbid physical and mental health conditions. |
Trends and patterns of geographic variation in opioid prescribing practices by state, United States, 2006-2017
Schieber LZ , Guy GP Jr , Seth P , Young R , Mattson CL , Mikosz CA , Schieber RA . JAMA Netw Open 2019 2 (3) e190665 Importance: Risk of opioid use disorder, overdose, and death from prescription opioids increases as dosage, duration, and use of extended-release and long-acting formulations increase. States are well suited to respond to the opioid crisis through legislation, regulations, enforcement, surveillance, and other interventions. Objective: To estimate temporal trends and geographic variations in 6 key opioid prescribing measures in 50 US states and the District of Columbia. Design, Setting, and Participants: Population-based cross-sectional analysis of opioid prescriptions filled nationwide at US retail pharmacies between January 1, 2006, and December 31, 2017. Data were obtained from the IQVIA Xponent database. All US residents who had an opioid prescription filled at a US retail pharmacy were included. Main Outcomes and Measures: Primary outcomes were annual amount of opioids prescribed in morphine milligram equivalents (MME) per person; mean duration per prescription in days; and 4 separate prescribing rates-for prescriptions 3 or fewer days, those 30 days or longer, those with a high daily dosage (>/=90 MME), and those with extended-release and long-acting formulations. Results: Between 2006 and 2017, an estimated 233.7 million opioid prescriptions were filled in retail pharmacies in the United States each year. For all states combined, 4 measures decreased: (1) mean (SD) amount of opioids prescribed (mean [SD] decrease, 12.8% [12.6%]) from 628.4 (178.0) to 543.4 (158.6) MME per person, a statistically significant decrease in 23 states; (2) high daily dosage (mean [SD] decrease, 53.1% [13.6%]) from 12.3 (3.4) to 5.6 (1.7) per 100 persons, a statistically significant decrease in 49 states; (3) short-term (</=3 days) duration (mean [SD] decrease, 43.1% [9.4%]) from 18.0 (5.4) to 10.0 (2.5) per 100 persons, a statistically significant decrease in 48 states; and (4) extended-release and long-acting formulations (mean [SD] decrease, 14.7% [13.7%]) from 7.2 (1.9) to 6.0 (1.7) per 100 persons, a statistically significant decrease in 27 states. Two measures increased, each associated with the duration of prescription dispensed: (1) mean (SD) prescription duration (mean [SD] increase, 37.6% [6.9%]) from 13.0 (1.2) to 17.9 (1.4) days, a statistically significant increase in every state; and (2) prescriptions for a term of 30 days or longer (mean [SD] increase, 37.7% [28.9%]) from 18.3 (7.7) to 24.9 (10.7) per 100 persons, a statistically significant increase in 39 states. Two- to 3-fold geographic differences were observed across states, measured by comparing the ratio of each state's 90th to 10th percentile for each measure. Conclusions and Relevance: In this study, across 12 years, the mean duration and prescribing rate for long-term prescriptions of opioids increased, whereas the amount of opioids prescribed per person and prescribing rate for high-dosage prescriptions, short-term prescriptions, and extended-release and long-acting formulations decreased. Some decreases were significant, but results were still high. Two- to 3-fold state variation in 5 measures occurred in most states. This information may help when state-specific intervention programs are being designed. |
Prevalence of nonopioid and opioid prescriptions among commercially insured patients with chronic pain
Miller GF , Guy GP Jr , Zhang K , Mikosz CA , Xu L . Pain Med 2018 20 (10) 1948-1954 The increased use of opioids to treat chronic pain in the past 20 years has led to a drastic increase in opioid prescribing in the United States. The Centers for Disease Control and Prevention's (CDC's) Guideline for Prescribing Opioids for Chronic Pain recommends the use of nonopioid therapy as the preferred treatment for chronic pain. This study analyzes the prevalence of nonopioid prescribing among commercially insured patients with chronic pain. Data from the 2014 IBM (R) MarketScan (R) databases representing claims for commercially insured patients were used. International Classification of Diseases, Ninth Revision, codes were used to identify patients with chronic pain. Nonopioid prescriptions included nonsteroidal anti-inflammatory drugs (NSAIDs), analgesics/antipyretics (e.g., acetaminophen), anticonvulsants, and antidepressant medications. The prevalence of nonopioid and opioid prescriptions was calculated by age, sex, insurance plan type, presence of a depressive or seizure disorder, and region. In 2014, among patients with chronic pain, 16% filled only an opioid, 17% filled only a nonopioid prescription, and 28% filled both a nonopioid and an opioid. NSAIDs and antidepressants were the most commonly prescribed nonopioids among patients with chronic pain. Having prescriptions for only nonopioids was more common among patients aged 50-64 years and among female patients. This study provides a baseline snapshot of nonopioid prescriptions before the release of the CDC Guideline and can be used to examine the impact of the CDC Guideline and other evidence-based guidelines on nonopioid use among commercially insured patients with chronic pain. |
US hospital discharges documenting patient opioid use disorder without opioid overdose or treatment services, 2011-2015
Peterson C , Xu L , Mikosz CA , Florence C , Mack KA . J Subst Abuse Treat 2018 92 35-39 Background: Understanding more about circumstances in which patients receive an opioid use disorder (OUD) diagnosis might illuminate opportunities for intervention and ultimately prevent opioid overdoses. This study aimed to describe patient and clinical characteristics of hospital discharges documenting OUD among patients not being treated for opioid overdose, detoxification, or rehabilitation. Methods: We assessed patient, payer, and clinical characteristics of nationally-representative 2011-2015 National Inpatient Sample discharges documenting OUD, excluding opioid overdose, detoxification, and rehabilitation. Discharges were clinically classified by Diagnostic Related Group (DRG) for analysis. Results: Annual discharges grew 38%, from 347,137 (2011) to 478,260 (2015), totaling 2 million discharges during the study period. The annual discharge rate increased among all racial/ethnic groups, but was highest among the non-Hispanic black population until 2015, when non-Hispanic whites had a slightly higher rate (164 versus 162 per 100,000 population). Female patients and Medicaid and Medicare as primary payer accounted for an increasing annual proportion of discharges. Just 14 DRGs accounted for nearly 50% of discharges over the study period. The most prevalent primary treatment received during OUD inpatient stays was for psychoses (DRG 885; 16% of discharges) and drug and alcohol abuse or dependence symptoms (including withdrawal) or (non-opioid) poisoning (DRG 894, 897, 917, 918; 12% of discharges). Conclusions: Now nearly half a million yearly US hospital discharges for a range of primary treatment include patients' diagnosis of OUD without opioid overdose, detoxification, or rehabilitation services. Inpatient stays present an important opportunity to link OUD patients to treatment to reduce opioid-related morbidity and mortality. |
Fungal endophthalmitis associated with compounded products
Mikosz CA , Smith RM , Kim M , Tyson C , Lee EH , Adams E , Straif-Bourgeois S , Sowadsky R , Arroyo S , Grant-Greene Y , Duran J , Vasquez Y , Robinson BF , Harris JR , Lockhart SR , Torok TJ , Mascola L , Park BJ . Emerg Infect Dis 2014 20 (2) 248-56 Fungal endophthalmitis is a rare but serious infection. In March 2012, several cases of probable and laboratory-confirmed fungal endophthalmitis occurring after invasive ocular procedures were reported nationwide. We identified 47 cases in 9 states: 21 patients had been exposed to the intraocular dye Brilliant Blue G (BBG) during retinal surgery, and the other 26 had received an intravitreal injection containing triamcinolone acetonide. Both drugs were produced by Franck's Compounding Lab (Ocala, FL, USA). Fusarium incarnatum-equiseti species complex mold was identified in specimens from BBG-exposed case-patients and an unopened BBG vial. Bipolaris hawaiiensis mold was identified in specimens from triamcinolone-exposed case-patients. Exposure to either product was the only factor associated with case status. Of 40 case-patients for whom data were available, 39 (98%) lost vision. These concurrent outbreaks, associated with 1 compounding pharmacy, resulted in a product recall. Ensuring safety and integrity of compounded medications is critical for preventing further outbreaks associated with compounded products. |
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