Prevalence of opioid and nonopioid pain management therapies among Medicare beneficiaries with musculoskeletal pain conditions from 2016 to 2019.

INTRODUCTION: Pain treatment guidelines prioritize nonopioid therapies over opioid medications to prevent opioid-related harms. We examined trends in receipt and intensity of nonpharmacologic, nonopioid medication, and opioid therapies among Medicare beneficiaries. METHODS: Using a 20% national random sample of Medicare data from 2016 to 2019, we identified fee-for-service beneficiaries with ≥2 diagnoses of back, neck, fibromyalgia, or osteoarthritis/joint pain annually. We excluded beneficiaries with cancer. We calculated annual proportions of beneficiaries who received physical therapy (PT), chiropractic care, gabapentin, and opioids, overall and in demographic, geographic, and clinical subgroups. We estimated the intensity of therapies using the annual number of visitsor prescription fills, prescription days' supply, and opioid dose. RESULTS: During 2016-2019, PT receipt increased (22.8% to 25.5%) and the mean number of visits among recipients of PT went from 12 to 13. Chiropractic receipt (~18%) and mean annual visits (~10) remained unchanged. The prevalence of gabapentin receipt was stable at ~22% and the mean annual number of fills was unchanged though gabapentin days increased slightly. Opioid prescribing decreased (56.7% to 46.5%) and reductions in opioid dose and duration were observed. Opioid receipt was high among beneficiaries who were under 65 years, American Indian/Alaska Native, Black/African American, or had opioid use disorder (OUD), in whom nonpharmacologic therapies were also received the least. CONCLUSION: Utilization of nonopioid therapies lagged opioids among Medicare beneficiaries with musculoskeletal pain, with limited changes from 2016 to 2019. As opioid prescribing declines and alternative pain therapy receipt remains low, there are potential increasing risks of pain going untreated or undertreated and individuals seeking illicit opioids to alleviate their pain.

Discharge locations after hospitalizations involving opioid use disorder among medicare beneficiaries.

BACKGROUND: Hospitalizations involving opioid use disorder (OUD) have been increasing among Medicare beneficiaries of all ages. With rising OUD-related acute care use comes the need to understand where post-acute care is provided and the capacities for OUD treatment in those settings. Our objective was to describe hospitalized Medicare beneficiaries with OUD, their post-acute care locations, and all-cause mortality and readmissions stratified by post-acute care location. METHODS: We conducted a retrospective cohort study of acute hospitalizations using 2016-2018 Medicare Provider Analysis and Review (MedPAR) files linked to Medicare enrollment data and the Residential History File (RHF) for 100% of Medicare fee-for-service beneficiaries. The RHF which provides a person-level chronological history of health service utilization and locations of care was used to identify hospital discharge locations. We used ICD-10 codes for opioid dependence or "abuse" to identify OUD diagnoses from the MedPAR file. We conducted logistic regression to identify factors associated with discharge to an institutional setting versus home adjusting for demographics, comorbidities, and hospital stay characteristics. RESULTS: Our analysis included 459,763 hospitalized patients with OUD. Of these, patients aged < 65 years and those dually enrolled in Medicaid comprised the majority (59.1%). OUD and opioid overdose were primary diagnoses in 14.3% and 6.2% of analyzed hospitalizations, respectively. We found that 70.3% of hospitalized patients with OUD were discharged home, 15.8% to a skilled nursing facility (SNF), 9.6% to a non-SNF institutional facility, 2.5% home with home health services, and 1.8% died in-hospital. Within 30 days of hospital discharge, rates of readmissions and mortality were 29.7% and 3.9%; respectively, with wide variation across post-acute locations. Factors associated with greater odds of discharge to institutional settings were older age, female sex, non-Hispanic White race and ethnicity, dual enrollment, longer hospital stay, more comorbidities, intensive care use, surgery, and primary diagnoses including opioid or other drug overdoses, fractures, and septicemia. CONCLUSIONS: More than one-quarter (25.8%) of hospitalized Medicare beneficiaries with OUD received post-acute care in a setting other than home. High rates and wide variation in all-cause readmissions and mortality within 30 days post-discharge emphasize the need for improved post-acute care for people with OUD.

Nonpharmacologic management of chronic pain in the United States' Medicare population: a scoping review protocol.

OBJECTIVE: This objective of this review is to describe the scope of the literature on the access to and use of nonpharmacologic therapies to manage chronic pain among people with disabilities and older adults. INTRODUCTION: Clinical guidelines recommend nonpharmacologic interventions as first-line therapy for chronic pain management. The importance of nonpharmacologic management is magnified in populations with a high pain burden and multiple chronic conditions, such as people living with a disability and/or older adults, many of whom are enrolled in Medicare. Understanding the utilization of nonpharmacologic therapies for pain is critical to guide effective pain management delivery and policy. INCLUSION CRITERIA: This scoping review will consider studies of Medicare beneficiaries and Medicare-eligible individuals who have chronic pain. Noninvasive and nonpharmacologic treatments for pain identified in clinical guidelines will be included. We will exclude studies exclusively focused on acute pain, cancer pain, palliative care and hospice settings, cannabis-based treatment, and pharmacologic therapies. Studies conducted outside the United States will be excluded. METHODS: The proposed scoping review will be conducted in accordance with JBI methodology. The search strategy has been developed in consultation with a public health librarian and will be carried out in MEDLINE, CINAHL, and SocINDEX, Web of Science, and the Cochrane Library. The search will be limited to results published in English since January 1, 1990. Two independent reviewers will screen all titles and abstracts and then full-text articles. Data will be extracted and summarized in diagrammatic, tabular, and narrative formats. SCOPING REVIEW REGISTRATION: Open Science Framework ( https://osf.io/h7bwc/ ).

Patterns and Trends in Receipt of Opioids Among Patients Receiving Treatment for Cancer in a Large Health System.

BACKGROUND: Given limited evidence on opioid prescribing among patients receiving treatment for cancer during the ongoing opioid epidemic, our objective was to assess predictors of and trends in opioid receipt during cancer treatment, including how patterns differ by type of cancer. METHODS: Using cancer registry data, we identified patients with a first lifetime primary diagnosis of breast, colorectal, or lung cancer from 2013 to 2017 who underwent treatment within a large cancer center network. Cancer registry data were linked to electronic health record information on opioid prescriptions. We examined predictors of and trends in receipt of any opioid prescription within 12 months of cancer diagnosis. RESULTS: The percentage of patients receiving opioids varied by cancer type: breast cancer, 35% (1,996/5,649); colorectal, 37% (776/2,083); lung, 47% (1,259/2,654). In multivariable analysis, opioid use in the year before cancer diagnosis was the factor most strongly associated with receipt of opioids after cancer diagnosis, with 4.90 (95% CI, 4.10-5.86), 5.09 (95% CI, 3.88-6.69), and 3.31 (95% CI, 2.68-4.10) higher odds for breast, colorectal, and lung cancers, respectively. We did not observe a consistent decline in opioid prescribing over time, and trends differed by cancer type. CONCLUSIONS: Our findings suggest that prescription of opioids to patients with cancer varies by cancer type and other factors. In particular, patients are more likely to receive opioids after cancer diagnosis if they were previously exposed before diagnosis, suggesting that pain among patients with cancer may commonly include non-cancer-related pain. Heterogeneity and complexity among patients with cancer must be accounted for in developing policies and guidelines aimed at addressing pain management while minimizing the risk of opioid misuse.

Association of Substance Use With Behavioral Adherence to Centers for Disease Control and Prevention Guidelines for COVID-19 Mitigation: Cross-sectional Web-Based Survey.

BACKGROUND: Substance use is a risk factor for COVID-19 infection and adverse outcomes. However, reasons for elevated risk for COVID-19 in substance users are not well understood. OBJECTIVE: The aim of this study was to evaluate whether alcohol or other drug use is associated with adherence to Centers for Disease Control and Prevention (CDC) guidelines for COVID-19 mitigation. Preregistered analyses tested the hypothesis that greater use of alcohol and other drugs would be associated with lower CDC guideline adherence. A secondary objective was to determine whether substance use was associated with the likelihood of COVID-19 testing or outcome. METHODS: A cross-sectional web-based survey was administered to a convenience sample recruited through Amazon's Mechanical Turk platform from June 18 to July 19, 2020. Individuals aged 18 years or older and residing in Connecticut, Massachusetts, New Jersey, New York, or Rhode Island were eligible to participate. The exposure of interest was past 7-day use of alcohol, cigarettes, electronic cigarettes, cannabis, stimulants, and nonmedical opioids. The primary outcome was CDC guideline adherence measured using a scale developed from behaviors advised to reduce the spread of COVID-19. Secondary outcomes were likelihood of COVID-19 testing and a positive COVID-19 test result. All analyses accounted for the sociodemographic characteristics. RESULTS: The sample consisted of 1084 individuals (mean age 40.9 [SD 13.4] years): 529 (48.8%) men, 543 (50.1%) women, 12 (1.1%) other gender identity, 742 (68.5%) White individuals, 267 (24.6%) Black individuals, and 276 (25.5%) Hispanic individuals. Daily opioid users reported lower CDC guideline adherence than nondaily users (B=-0.24, 95% CI -0.44 to -0.05) and nonusers (B=-0.57, 95% CI -0.76 to -0.38). Daily alcohol drinkers reported lower adherence than nondaily drinkers (B=-0.16, 95% CI -0.30 to -0.02). Nondaily alcohol drinkers reported higher adherence than nondrinkers (B=0.10, 95% CI 0.02-0.17). Daily opioid use was related to greater odds of COVID-19 testing, and daily stimulant use was related to greater odds of a positive COVID-19 test. CONCLUSIONS: In a regionally-specific, racially, and ethnically diverse convenience sample, adults who engaged in daily alcohol or opioid use reported lower CDC guideline adherence for COVID-19 mitigation. Any opioid use was associated with greater odds of COVID-19 testing, and daily stimulant use was associated with greater odds of COVID-19 infection. Cigarettes, electronic cigarettes, cannabis, or stimulant use were not statistically associated with CDC guideline adherence, after accounting for sociodemographic covariates and other substance use variables. Findings support further investigation into whether COVID-19 testing and vaccination should be expanded among individuals with substance-related risk factors.

Opioid Prescribing Safety Measures in Medicaid Enrollees With and Without Cancer.

INTRODUCTION: Opioid prescribing safety among individuals with cancer is poorly understood. This study estimates the prevalence of Pharmacy Quality Alliance opioid measures among individuals with cancer undergoing or not undergoing active treatment versus those without cancer. METHODS: Pennsylvania Medicaid data (2016) were analyzed in 2018 to identify adults aged 18-64 years with and without cancer diagnoses who had 2 or more opioid prescriptions. Active cancer treatment, defined as having chemotherapy, radiotherapy, cancer surgery, or hospitalization with a primary diagnosis of cancer, was evaluated from October 2015 to December 2016 allowing a ≥3-month look-back period for cancer diagnoses observed in the first quarter of 2016. Opioid dosages (>120 morphine milligram equivalents for ≥90 consecutive days), multiple providers (4 or more prescribers and 4 or more pharmacies), and opioid and benzodiazepines overlapping ≥30 days were evaluated. RESULTS: The sample with opioid prescriptions included 111,491 enrollees without cancer diagnoses and 12,819 with cancer, 58.8% of whom were not in active cancer treatment. Among enrollees undergoing cancer treatment, with cancer but not in active treatment, and without cancer, the prevalence of high morphine milligram equivalents was 7.1%, 6.0%, and 4.7% (p<0.001), respectively. The corresponding prevalence of multiple providers was 6.7%, 4.1%, and 3.4% (p<0.001). Concurrent opioid and benzodiazepine prescriptions occurred in 28.6%, 30.5%, and 26.8% (p<0.001), respectively. CONCLUSIONS: Individuals with cancer, regardless of treatment status, had higher-risk opioid use based on Pharmacy Quality Alliance measures versus those without cancer. Their systematic exclusion from opioid quality surveillance could create missed opportunities to identify patients at high risk of adverse opioid-related outcomes.

Efficacy of recombinant chimeric lectins, consisting of mannose binding lectin and L-ficolin, against influenza A viral infection in mouse model study.

Influenza A virus infection could result in fatal complications. Although immunization is the most effective prevention it is not effective to pandemic infection and is less effective or not approved for certain age groups. Some influenza virus strains have developed resistance to antiviral agents. Thus, new therapeutic agents are urgently needed. We focused on innate immune molecules, including mannose-binding lectin (MBL). In order to optimize its antiviral activities, we have previously generated three recombinant chimeric lectins (RCL), by introducing portions of L-ficolin, another innate immune lectin. Our in vitro characterizations previously selected RCL2 and RCL3 for further investigations against viruses, including influenza viruses. Here, we examined efficacy of these lectins against infection with PR8 (H1N1) influenza A virus using mouse model studies and a human tracheal epithelial cell system. Our results provide in vivo evidence that RCL3 is effective agent against influenza virus infection. The therapeutic mechanisms are in part by providing host protective responses mediated by cytokines. We conclude that RCL3 is a potential new innate immune anti-influenza virus therapeutic agent.