Rehabilitation after brain tumor resection: A national study of postacute care service use through insurance claims data.

OBJECTIVE: To assess postacute rehabilitation service use and length of stay among a national sample of patients with brain tumors after surgery. DESIGN: A retrospective review was conducted of health care claims data of a national sample of patients via The Optum Clinformatics DataMart. SETTING AND PARTICIPANTS: This study included adult individuals (≥18 years of age) who were diagnosed with a brain tumor between 2015 and 2019 and underwent a craniotomy or craniectomy within 180 days of diagnosis. METHODS: Descriptive statistics were used to characterize patients by tumor type. Multivariate models assessed factors associated with discharge setting and length of stay. RESULTS: Of the 10,275 individuals identified, 69% had malignant tumors. Over two thirds of patients were discharged directly home (with or without home health care) and 9.3% and 9.5% were discharged to acute rehabilitation facilities (inpatient rehabilitation facilities [IRF]) and skilled nursing facilities (SNF/ICF), respectively. About 13.5% were discharged to other settings. The average length of stay during the episode of care was 8.6 (SD = 9.6) days. After adjusting for confounders, individuals with benign brain tumors were more likely to be discharged to either IRF or SNF/ICF than return home after acute care stay, as were those with greater comorbidities, older age, fee-for-service and health maintenance organization insurance. Wealthier patients were less likely to be discharged to a SNF/ICF than home, although income was not a factor affecting discharge to an IRF. Patients with benign tumors, the oldest old (80+), those with more comorbidities as well as Black and Hispanic patients had a longer length of stay during the acute hospitalization. CONCLUSIONS: Individuals with brain tumors have deficits amenable to rehabilitation; however, this study finds that service use differs by tumor type and demographic and socioeconomic factors. Further study is needed to identify if there are barriers to access and use of rehabilitation services in this population.

Referral and Prescription Patterns for Female Patients With Urinary Incontinence.

IMPORTANCE: Although behavioral modifications, medications, and other interventions can improve urinary incontinence (UI), many women never receive them. OBJECTIVES: To better characterize UI treatment patterns in primary care, we examined prescriptions and referrals to pelvic floor physical therapy (PFPT) and specialist physicians within a large Midwestern academic health system. STUDY DESIGN: Electronic health records were queried to identify a cohort of adult female patients receiving a new UI diagnosis during outpatient primary care visits from 2016 to 2020. Urinary incontinence referrals and referral completion were examined for the overall cohort, and medication prescriptions were examined for women with urgency or mixed UI. Logistic regression was used to assess the association of prescriptions and/or referrals with patient demographics, comorbidities, and UI diagnosis dates. RESULTS: In the year after primary care UI diagnosis, 37.2% of patients in the overall cohort (n = 4,382) received guideline-concordant care. This included 20.6% of women who were referred for further management: 17.7% to urology/urogynecology and 3.2% to PFPT. Most women who were referred attended an initial appointment. Among those with urgency (n = 2,398) or mixed UI (n = 552), 17.1% were prescribed medication. Women with stress (odds ratio [OR], 3.10; 95% CI, 2.53-3.79) and mixed UI (OR, 6.17; 95% CI, 4.03-9.66) were more likely to be referred for further management, and women diagnosed during the COVID-19 pandemic were less likely to be referred for further care (OR, 0.39; 95% CI, 0.29, 0.48). CONCLUSION: Only slightly above 1 in 3 women with a new diagnosis of UI in primary care received guideline-based medications or referrals within 1 year, suggesting missed opportunities for timely care.

Centralization of Initial Care and Improved Survival of Poor Patients With Breast Cancer.

PURPOSE: Poor women with breast cancer have worse survival than others, and are more likely to undergo surgery in low-volume facilities. We leveraged a natural experiment to study the effectiveness of a policy intervention undertaken by New York (NY) state in 2009 that precluded payment for breast cancer surgery for NY Medicaid beneficiaries treated in facilities performing fewer than 30 breast cancer surgeries annually. METHODS: We identified 37,822 women with stage I-III breast cancer during 2004-2008 or 2010-2013 and linked them to NY hospital discharge data. A multivariable difference-in-differences approach compared mortality of Medicaid insured patients with that of commercially or otherwise insured patients unaffected by the policy. RESULTS: Women treated during the postpolicy years had slightly lower 5-year overall mortality than those treated prepolicy; the survival gain was significantly larger for Medicaid patients (P = .018). Women enrolled in Medicaid had a greater reduction than others in breast cancer-specific mortality (P = .005), but no greater reduction in other causes of death (P = .50). Adjusted breast cancer mortality among women covered by Medicaid declined from 6.6% to 4.5% postpolicy, while breast cancer mortality among other women fell from 3.9% to 3.8%. A similar effect was not observed among New Jersey Medicaid patients with breast cancer treated during the same years. CONCLUSION: A statewide centralization policy discouraging initial care for breast cancer in low-volume facilities was associated with better survival for the Medicaid population targeted. Given these impressive results and those from prior research, other policymakers should consider adopting comparable policies to improve breast cancer outcomes.[Media: see text].

Medication delivery factors and adjuvant endocrine therapy adherence in breast cancer.

PURPOSE: Over 50% of breast cancer patients prescribed a 5-year course of daily oral adjuvant endocrine therapy (ET) are nonadherent. We investigated the role of costs and cancer medication delivery mode and other medication delivery factors on adherence. METHODS: We conducted a retrospective cohort study of commercially insured and Medicare advantage patients with newly diagnosed breast cancer in 2007-2015 who initiated ET. We examined the association between 12-month ET adherence (proportion of days covered by fills ≥ 0.80) and ET copayments, 90-day prescription refill use, mail order pharmacy use, number of pharmacies, and synchronization of medications. We used regression models to estimate nonadherence risk ratios adjusted for demographics (age, income, race, urbanicity), comorbidities, total medications, primary cancer treatments, and generic AI availability. Sensitivity analyses were conducted using alternative specifications for independent variables. RESULTS: Mail order users had higher adherence in both commercial and Medicare-insured cohorts. Commercially insured patients who used mail order were more likely to be adherent if they had low copayments (< $5) and 90-day prescription refills. For commercially insured patients who used local pharmacies, use of one pharmacy and better synchronized refills were also associated with adherence. Among Medicare patients who used mail order pharmacies, only low copayments were associated with adherence, while among Medicare patients using local pharmacies both low copayments and 90-day prescriptions were associated with ET adherence. CONCLUSION: Out-of-pocket costs, medication delivery mode, and other pharmacy-related medication delivery factors are associated with adherence to breast cancer ET. Future work should investigate whether interventions aimed at streamlining medication delivery could improve adherence for breast cancer patients.

Feasibility of a pharmacist-led symptom monitoring and management intervention to improve breast cancer endocrine therapy adherence.

BACKGROUND: Adjuvant endocrine therapy (AET) for breast cancer reduces mortality, but one-third to one-half of patients discontinue it early or are nonadherent. OBJECTIVE: We developed a pilot single-site study of patients with evidence of early nonadherence to AET to assess the feasibility of a novel, clinical pharmacist-led intervention targeting symptom and medication management. METHODS: Patients with prescription fill records showing nonadherence were enrolled in a single-arm feasibility study. Automated reminders were sent by e-mail or text with a link to symptom monitoring assessments weekly for 1 month and monthly until 6 months. Clinical oncology pharmacists used guideline-based symptom management and other medication management tools to support adherence and ameliorate symptoms reported on the assessments. Patient-reported outcome assessments included physical, mental, and social health domains and self-efficacy to manage symptoms and medications. Feasibility outcomes included completion of symptom reports and pharmacist recommendations. RESULTS: Of 19 participants who were nonadherent who enrolled and completed initial assessments, 18 completed all final study procedures, with 14 completing all assessments and no patient missing more than 3 assessments. All 18 participants reported at least one of 3 symptom types, and the majority reported attempting pharmacist recommendations. Patient-reported measures of physical, mental, and social health and self-efficacy improved, and 44% of the patients became adherent. CONCLUSION: An intervention using pharmacists in an oncology practice to systematically monitor and manage symptoms shows promise to reduce symptoms, enhance support and self-efficacy, and improve adherence to AET.

Echocardiographic and clinical predictors of cardiac amyloidosis: limitations of apical sparing.

AIMS: The accuracy of an apical-sparing strain pattern on transthoracic echocardiography (TTE) for predicting cardiac amyloidosis (CA) has varied in prior studies depending on the underlying cohort. We sought to evaluate the performance of apical sparing and other TTE strain findings to screen for CA in an unselected population and determine the frequency that patients with echocardiographic concern for CA undergo evaluation for amyloidosis in clinical practice. METHODS AND RESULTS: As strain is routinely performed at our institution on all clinical TTEs, we identified all TTEs performed from 2016 through 2019 with reported concern for CA or apical sparing. We determined the performance characteristics for echocardiographic strain findings in discriminating CA including apical sparing, the ejection fraction to global longitudinal strain ratio (EF/GLS), and the septal apical-septal basal ratio (SA/SB); other clinical predictors of confirmed CA; and predictors of patients who underwent complete evaluation for CA. CA was confirmed by endomyocardial biopsy or diagnostic cardiac imaging. A total of 547 TTEs, representing 451 patients, reported concern for CA and had adequate strain for analysis. A total of 111 patients underwent complete evaluation for amyloidosis with 100 patients undergoing complete cardiac evaluation for CA. In those 100 patients, multivariable predictors of confirmed CA were age [odds ratio (OR) 3.37 per 5 years], a visual apical-sparing pattern (OR 10.85), and left ventricular ejection fraction (LVEF)/GLS > 4.1 (OR 35.37). CA was less likely in those with coronary artery disease (OR 0.04), hypertension (OR 0.18), and increased systolic blood pressure (OR 0.60 per 5 mm Hg increase). SA/SB [area under the curve (AUC) 0.72, 95% confidence interval (CI) 0.60-0.84] and LVEF/GLS (AUC 0.72, 95% CI 0.60-0.84) both had improved discrimination for CA compared with the apical-sparing ratio (AUC 0.66, 95% CI 0.54-0.79). Many patients with suggestive TTE findings did not receive an evaluation for amyloidosis. Complete evaluation was more likely with Caucasian race (OR 2.1), increased septal thickness (OR 1.4), increased body mass index (OR 1.2), and if the report specifically stated 'amyloid' (OR 1.9). Evaluations were less likely in patients with comorbidities. While hypertension reduced the likelihood of evaluating for CA, 34% of patients with CA had hypertension (>130/80 mm Hg) at time of diagnosis. CONCLUSIONS: In a broad population of patients undergoing TTE, apical sparing on strain imaging increased the likelihood of CA diagnosis but with modest sensitivity and specificity. GLS/EF ratio may be a more reliable tool to screen for CA. The low rate of complete evaluation in patients with concerning TTE findings indicates a strong need for practice improvement and enhanced disease awareness.

Pharmacy deserts and patients with breast cancer receipt of influenza vaccines.

BACKGROUND: Yearly influenza vaccination is strongly recommended at age 65 and reimbursed by Medicare without copays or deductibles at pharmacies and clinical settings. Uptake is low among patients with a high risk for influenza complications and good access to specialist care, such as recent cancer survivors. We hypothesized that more accessible pharmacies could be associated with higher immunization uptake in such patients. OBJECTIVES: To determine whether pharmacy access is associated with influenza vaccination in subjects recently diagnosed with breast cancer, and whether this association differs by additional risk factors for influenza complications. METHODS: We examined a cohort of patients with stage 0-III breast cancer diagnosed 2011-2015 from the Surveillance, Epidemiology, and End Results-Medicare cancer registry. All retail pharmacies in the United States were identified, and pharmacy access was measured by assessing supply and demand in each census tract using a 2-stage floating catchment area approach that accounted for pharmacy driving distances recommended by the Centers for Medicare and Medicaid Services. We examined the association of pharmacy access with influenza vaccination after breast cancer diagnosis in regression models. RESULTS: More than 11% of 45,722 patients with breast cancer lived in census tracts where no pharmacies were within recommended driving distances from the population-weighted tract center. Vaccination in the year after diagnosis was less likely for patients in these very low-access tracts (adjusted odds ratio 0.92 [95% CI 0.86-0.96]), black (0.55 [0.51-0.60]) and Hispanic (0.76 [0.70-0.83]) women, and Medicaid recipients (0.74 [0.69-0.79]). Vaccination was inversely associated with per capita income in the subject's census tract, but there was no difference in the pharmacy effect by race, ethnicity, or census tract income. CONCLUSION: Very low pharmacy access is associated with modest reductions in vaccination that could be useful for policy and planning regarding vaccinator resources and outreach.

The Role of Physician Professional Networks in Physicians' Receipt of Pharmaceutical and Medical Device Industries' Payments.

BACKGROUND: Financial relationships between physicians and the pharmaceutical and medical device industries are common, but the factors associated with physicians receiving payments are unknown. OBJECTIVE: The objective of this study is to evaluate the influence of physicians' professional networks' characteristics on the receipt of payments among physicians. DESIGN: Network analysis of cross-sectional data PARTICIPANTS: US physicians who shared Medicare patients with other physicians in 2015 (N=357,813). EXPOSURE (INTERVENTION): Proportion of a physician's professional network that received industry payments and other network characteristics including number of physician connections, how central the physician is within the network, and the tightness of the referral network in which a physician is located. MAIN OUTCOME MEASURES: Relative risk of receiving industry payments. We used modified Poisson regression to control for confounding by gender, time since graduation, practice size, and practice setting (teaching hospital vs. not). We included dummy variables for specialty and hospital referral region level. KEY RESULTS: The proportion of a physician's peers in their professional network that received payments was strongly associated with receipt of pharmaceutical or device industry payments by the physician (top vs bottom quartile aRR=1.28, 95%CI=1.25-1.31). Physician's centrality within a network had a small positive effect on receiving payment (top vs bottom quartile aRR=1.02, 95%CI=1.01-1.04). Network density also had a small negative association with receipt of payment (top vs bottom quartile aRR=0.97, 95%CI=0.96-0.98). CONCLUSIONS: Network characteristics, particularly the receipt of payments among physicians one shares patients with, are associated with whether a physician receives payments. This finding has implications for institutional regulation of industry payments to physicians and demonstrates how institutional policy may impact not only the physicians within the institution but also physicians outside of the institution.

Focused, low tube potential, coronary calcium assessment prior to coronary CT angiography: A prospective, randomized clinical trial.

BACKGROUND: Coronary artery calcium (CAC) scanning is commonly performed before coronary CT angiography (CTA) based partly on its potential to influence CTA scan parameters. Encompassing the whole heart and performed at high tube potential (120 â€‹kVp), standard (Agatston) CAC scanning adds to patient radiation exposure. Most CAC exists in the proximal and mid coronary segments and is easily visualized at low kVp. METHODS: We tested the impact of a modified calcium scan on coronary CTA acquisition decision-making and image quality in a randomized clinical trial. Providers documented planned CTA acquisition parameters prior to CAC scanning in a blinded manner. Standard Agatston CAC scans proceeded in typical fashion whereas modified scans utilized 80 â€‹kVp and reduced z-axis length focused on the proximal-to-mid coronary arteries. CTA providers reviewed the CAC burden then documented final acquisition parameters. RESULTS: The study included 172 patients (48% female; mean age 59 â€‹± â€‹6.7). As planned, the calcium scan effective dose was significantly lower in the modified CAC scan group (0.14 vs. 0.74 â€‹mSv using a 0.014 k-factor or 0.26 vs. 1.38 â€‹mSv using a 0.026 k-factor; both p â€‹< â€‹0.001). Initially selected CTA parameters were changed at an identical rate following visual CAC assessment (59%). There was no significant difference in coronary CTA image quality (median quality score â€‹= â€‹4 in both groups, p â€‹= â€‹0.26), noise (31.0 vs 31.4 HU; p â€‹= â€‹0.81), or signal/noise ratio (17.9 vs 16.8; p â€‹= â€‹0.26). CONCLUSIONS: A low-kVp scan with focused field-of-view provides actionable information regarding the presence and severity of CAC prior to coronary CTA. Coronary CTA parameters based on patient variables are frequently modified after assessing CAC burden in the CTA suite. CLINICALTRIALS. GOV REGISTRATION NUMBER: NCT02972242.

The Use and Concurrent Use of Side Effect Controlling Medications Among Women on Aromatase Inhibitors.

Background: Women on aromatase inhibitors (AIs) as part of their breast cancer treatment often experience difficult to control side effects. Although there are several medications to manage the side effects of AI therapy, many of them are associated with their own risk, particularly sedation. The objective of this study was to describe the prescribing practices for side effect managing (SE) medications among women with breast cancer on AI therapy and to assess for combinations of medications that may present a clinical risk to patients. Methods: Retrospective data analysis using Surveillance, Epidemiology and End Results (SEER)-Medicare data of all women aged 66-90 years with stage I-III hormone positive breast cancer diagnosed between 2008 and 2014 who initiated AI therapy within 12 months of their diagnosis. We determined the percentage of patients prescribed an SE medication in the 12 months prior and in the 24 months after the initiation of AI therapy. We calculated the number of prescriptions and the number of days of overlapping (i.e., >1 SE) prescriptions, and examined predictors of overlapping prescriptions. Results: The use of SE medications was pervasive and increased after initiation of AI therapy. The most commonly prescribed medications were opiates (55.1%), selective serotonin reuptake inhibitors (22.6%), benzodiazepines (18.4%), tramadol (17.7%) and gabapentin (14.6%). In total 15.5% of patients had overlapping prescriptions; among those, 36.2% had three overlapping prescriptions. Prior use was the strongest predictor of overlapping prescriptions with an odds ratio of 7.9 (95% confidence interval: 7.17-8.77). Conclusion: Among women on AI therapy, the use of SE medications is common and many have overlapping prescriptions raising concern for potential harm from polypharmacy.

Aromatase Inhibitor Symptom Management Practices: A Retrospective Study.

PURPOSE: Aromatase inhibitor (AI)-associated symptoms contribute to early therapy discontinuation. Although guidelines exist for management of these symptoms, little is known about the degree to which physicians address symptoms and adhere to the guidelines for treatment. PATIENTS AND METHODS: In this retrospective chart review, women with hormone receptor-positive breast cancer who were prescribed an AI between October 15, 2012, and September 14, 2017, were randomly selected from the institution's cancer registry. Patient medical records were reviewed to identify the prevalence of symptom documentation and management. Documented symptoms were categorized into musculoskeletal, vasomotor, and urogenital. Symptom treatment guidelines were compiled from the National Comprehensive Cancer Network (NCCN) and the American Cancer Society/American Society of Clinical Oncology (ACS/ASCO). Treatments were categorized as either meeting or not meeting the guidelines. Among patients with symptoms recorded, chi-square tests and time-to-event models were used to examine factors associated with treatment and factors associated with guideline-based treatment. RESULTS: Among 179 women prescribed an AI, 82% had at least one symptom and 46% had multiple symptoms. Of the 147 women with any documented symptom, 97 (66%) received some form of symptom-palliating treatment. Seventy-seven patients (52%) received guideline-based treatments or guideline-based treatments in combination with non-guideline-based treatments. There were no differences in receipt of treatment overall (ie, guideline based or non-guideline based) for either vasomotor or musculoskeletal symptoms by age, race, or stage. CONCLUSION: Although 82% of patients had symptoms documented in their medical records, just over half of those patients received guideline-based treatment.

Association of Current Opioid Use With Serious Adverse Events Among Older Adult Survivors of Breast Cancer.

Importance: National efforts to improve safe opioid prescribing focus on preventing misuse, overdose, and opioid use disorder. This approach overlooks opportunities to better prevent other serious opioid-related harms in complex populations, such as older adult survivors of cancer. Little is known about the rates and risk factors for comprehensive opioid-related harms in this population. Objective: To determine rates of multiple opioid-related adverse drug events among older adults who survived breast cancer and estimate the risk of these events associated with opioid use in the year after completing cancer treatment. Design, Setting, and Participants: This retrospective cohort study used 2007 to 2016 Surveillance, Epidemiology and End Results-Medicare data from fee-for-service Medicare beneficiaries with first cancer diagnosis of stage 0 to III breast cancer at age 66 to 90 years from January 1, 2008, through December 31, 2015, who completed active breast cancer treatment. Data were analyzed from October 31, 2019, to June 10, 2020. Exposures: Repeated daily measure indicating possession of any prescription opioid supply in Medicare Part D prescription claims. Main Outcomes and Measures: Adjusted risk ratios (aRRs), estimated using modified Poisson generalized estimating equation models, for adverse drug events related to substance misuse (ie, diagnosed opioid abuse, dependence, or poisoning), other adverse drug events associated with opioid use (ie, gastrointestinal events, infections, falls and fractures, or cardiovascular events), and all-cause hospitalization associated with opioid supply the prior day, controlling for patient characteristics. Results: Among 38 310 women included in the study (mean [SD] age, 74.3 [6.3] years), there were 0.010 (95% CI, 0.008-0.011) adverse drug events related to substance misuse per 1000 person-days, 0.237 (95% CI, 0.229-0.245) other adverse drug events associated with opioid use per 1000 person-days, and 0.675 (95% CI, 0.662-0.689) all-cause hospitalizations per 1000 person-days. Opioid use was associated with increased risk of adverse drug events related to substance misuse (aRR, 14.62; 95% CI, 9.69-22.05; P < .001), other adverse drug events related to opioid use (aRR, 2.50; 95% CI, 2.11-2.96; P < .001), and all-cause hospitalization (aRR, 2.77; 95% CI, 2.55-3.02; P < .001). In a dose-response effect, individuals with high daily opioid doses had consistently higher risks of all study outcomes compared with individuals who had low opioid doses. Compared with days with no opioid exposure, the risk of any adverse drug event related to substance misuse was 3.4-fold higher for individuals with a current opioid supply ≥50 mg morphine equivalent dose per day (aRR, 3.40; 95% CI, 2.47-4.68; P < .001), while the risk was 2.3-fold higher for individuals with 1 to 49 mg morphine equivalent dose per day (aRR, 2.29; 95% CI, 1.89-2.77; P < .001). Conclusions and Relevance: These findings suggest that among older adults who survived breast cancer, continued prescription opioid use in the year after completing active cancer treatment was associated with an immediate increased risk of a broad range of serious adverse drug events related to substance misuse and other adverse drug events associated with opioid use. Clinicians should consider the comprehensive risks of managing cancer pain with long-term opioid therapy.

The impact of generic aromatase inhibitors on initiation, adherence, and persistence among women with breast cancer: Applying multi-state models to understand the dynamics of adherence.

PURPOSE: Clinical trials have clearly documented the survival benefit of aromatase inhibitors (AIs); however, many women fail to initiate (primary nonadherence) or remain adherent to AIs (secondary nonadherence). Prior studies have found that costs impact secondary nonadherence to medications but have failed to examine primary nonadherence. The purpose of this study is to examine primary and secondary adherence following the reduction in copays due to the introduction of generic AIs. METHODS: Using Surveillance, Epidemiology, and End Results-Medicare data, we identified 50 054 women diagnosed with incident breast cancer between 2008 and 2013. We compare women whose copays would change and those whose would not, due to the receipt of cost-sharing subsidies before and after generics were introduced using a difference-in-difference (DinD) analysis. To examine primary and secondary nonadherence, we rely on a multistate model with four states (Not yet initiated, User, Not Using, and Death). We adjusted for baseline factors using inverse probability treatment weights and then simulated adherence for 36 months following diagnosis. RESULTS: The generic introduction of AIs resulted in patients initiating AIs faster (DinD = -4.7%, 95%CI = -7.0, -2.3; patients not yet initiating treatment at 6-months), being more adherent (DinD ranging in absolute increase of 8.1%-10.4%) and being less likely to not be using the therapy (DinD range in absolute decrease of 1.2% at 6 months to 8.8% at 24 months) for women that do not receive a subsidy after generics were available. CONCLUSIONS: Introduction of generic alternatives to AIs significantly reduced primary and secondary nonadherence.

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index.

When randomized controlled trials are not feasible, retrospective studies using big data provide an efficient and cost-effective alternative, though they are at risk for treatment selection bias. Treatment selection bias occurs in a non-randomized study when treatment selection is based on pre-treatment characteristics that are also associated with the outcome. These pre-treatment characteristics, or confounders, can influence evaluation of a treatment's effect on the outcome. Propensity scores minimize this bias by balancing the known confounders between treatment groups. There are a few approaches to performing propensity score analyses, including stratifying by the propensity score, propensity matching, and inverse probability of treatment weighting (IPTW). Described here is the use of IPTW to balance baseline comorbidities in a cohort of patients within the US Military Health System Data Repository (MDR). The MDR is a relatively optimal data source, as it provides a contained cohort in which nearly complete information on inpatient and outpatient services is available for eligible beneficiaries. Outlined below is the use of the MDR supplemented with information from the national death index to provide robust mortality data. Also provided are suggestions for using administrative data. Finally, the protocol shares an SAS code for using IPTW to balance known confounders and plot the cumulative incidence function for the outcome of interest.

Concurrent Opioid and Benzodiazepine Prescriptions Among Older Women Diagnosed With Breast Cancer.

Guidelines recommend using caution in co-prescribing opioids with benzodiazepines, yet, in practice, the extent of concurrent prescribing is poorly understood. Notably, no population-based studies, to our knowledge, have investigated concurrent prescribing among patients with cancer. We conducted a retrospective cohort study using data from the Surveillance, Epidemiology, and End Results (SEER) database linked with Medicare claims (2012-2016) for women diagnosed with breast cancer. We used modified Poisson regression to examine predictors of any concurrent prescriptions in the year post-diagnosis and Poisson regression to examine predictors of the number of overlapping days. We found that 13.0% of the 19 267 women in our sample had concurrent prescriptions. Women who underwent more extensive treatment and those with previous use of opioids or benzodiazepines were at increased risk for concurrent prescriptions (adjusted risk ratio of previous benzodiazepine use vs no previous use = 15.05, 95% confidence interval = 13.19 to 17.19). Among women with concurrent prescriptions, overlap was most pronounced among low-income, rural, and Hispanic women (adjusted incidence rate ratio of Hispanic vs non-Hispanic white = 1.25, 95% confidence interval = 1.20 to 1.30). Our results highlight opportunities to reduce patients' unnecessary exposure to this combination.

Opioid Dose and Benzodiazepine Use Among Commercially Insured Individuals on Chronic Opioid Therapy.

OBJECTIVE: To examine morphine milligram equivalent (MME) trends, use of concurrent opioids and benzodiazepines, and opioid-related emergency department (ED) visits or hospitalizations in a national cohort of patients on chronic opioid therapy. DESIGN: Retrospective cohort analysis of prospectively collected data from the Truven Health MarketScan Commercial Claims and Encounters database from 2009 to 2015. This includes individuals in both the Commercial Claims and Medicare Supplemental databases of MarketScan. METHODS: MME comparisons of 1) patients on chronic opioids with and without opioid-related ED visits or hospitalizations, 2) patients on concurrent opioids and benzodiazepines with and without opioid-related ED visits or hospitalizations, and 3) patients on chronic opioids compared with those on concurrent opioid and benzodiazepine using the Student t test. RESULTS: MME decreased from 194 mg in 2009 to 119 mg in 2015 among patients on chronic opioids. Patients on opioids and benzodiazepines had higher doses than those on opioids alone for all years (P < 0.001). Those with an opioid-related ED visit or hospitalization had a higher average MME than those without, for all years except 2009 (P < 0.05). Patients on chronic opioids or on concurrent benzodiazepine with an MME >50 had a twofold increased risk of having an opioid-related ED visit or hospitalization compared with those with an MME <50, for all years. CONCLUSIONS: Although the average MME decreased over time, patients on combination opioid and benzodiazepine and those with opioid-related ED visits and hospitalizations had significantly higher doses.

New-onset persistent opioid use following breast cancer treatment in older adult women.

BACKGROUND: Patients with cancer-related pain are underrepresented in the opioid literature despite high opioid exposure and numerous risk factors for adverse opioid outcomes, including unnecessary persistent opioid use. The objective of this study was to determine the extent, historical trends, and predictors of new-onset persistent opioid use among older adult women after active breast cancer treatment. METHODS: Using Surveillance, Epidemiology, and End Results-Medicare data for opioid-naive women diagnosed with stage 0 to III breast cancer at the age of 66 to 90 years between 2008 and 2013, this study estimated overall and quarterly adjusted probabilities of new-onset persistent opioid use, which was defined as receiving ≥90 days' supply of opioids in the year after active breast cancer treatment. Sensitivity analyses were conducted with an alternative definition of persistent opioid use: any opioid fill 90 to 180 days after active cancer treatment. RESULTS: Nearly two-thirds of the subjects received prescription opioid therapy during cancer treatment. Quarterly probabilities of new-onset persistent opioid use after active treatment ranged from 2% to 4%; in sensitivity analyses, the alternative outcome definition resulted in predicted probabilities ranging from 11.4% to 14.7%. Subjects with more advanced disease, a higher comorbidity burden, a low-income status, and greater opioid exposure during active cancer treatment were more likely to develop persistent opioid use. CONCLUSIONS: Persistent opioid use was an infrequent occurrence among older adult patients with breast cancer completing cancer treatment between 2008 and 2013. This finding was encouraging because of the concerning opioid trends seen in noncancer populations. However, opportunities to further mitigate unsafe opioid use as a complication of cancer care, including standardization of persistent opioid use definitions, should be explored.

The association of pharmacy fill synchronization with breast cancer endocrine therapy adherence.

BACKGROUND: One-third to one-half of patients prescribed adjuvant endocrine therapy are nonadherent during the recommended 5-year endocrine therapy course. This study investigated whether poor pharmacy synchronization of medication fills (requiring refills on different days) acts as a barrier to adherence. METHODS: A cohort of older women with stage 0 to III endocrine receptor-positive breast cancer in 2011 was identified from the Surveillance, Epidemiology, and End Result-Medicare claims-linked cancer registry. Women with endocrine therapy and at least 1 other medication fill were identified, and the 3-month synchronization of their fills was calculated as 1 minus the quotient of the number of pharmacy visits and the number of filled medications. Regression models were used to examine the association between synchronization (in quartiles adjusted for the number of medications) and adherence to endocrine therapy (defined as a medication possession ratio ≥80%) over the subsequent year. RESULTS: During the 3 months after the first endocrine therapy prescription, the study cohort of 3212 women had a mean of 8.6 pharmacy visits (standard deviation, 4.7) with a mean synchronization of 0.3 (standard deviation, 0.2). Those in the third (odds ratio, 1.29; 95% confidence interval, 1.04-1.59) and fourth (most) medication number-adjusted synchronization quartiles (odds ratio, 1.49; 95% confidence interval, 1.19-1.86) were more likely to be adherent than those in the least. Multivariate model predictions showed that the proportion of patients who were adherent over 1 year varied from 68.9% in the least synchronized quartile to 76.6% in the most synchronized one. CONCLUSIONS: Prescription refill synchronization is strongly associated with adherence to endocrine therapy. Efforts to improve adherence should address this.