Predictors of high-intensity care at the end of life among older adults with solid tumors: A population-based study.

INTRODUCTION: High-intensity end-of-life (EoL) care can be burdensome for patients, caregivers, and health systems and does not confer any meaningful clinical benefit. Yet, there are significant knowledge gaps regarding the predictors of high-intensity EoL care. In this study, we identify risk factors associated with high-intensity EoL care among older adults with the four most common malignancies, including breast, prostate, lung, and colorectal cancer. MATERIALS AND METHODS: Using SEER-Medicare data, we conducted a retrospective analysis of Medicare beneficiaries aged 65 and older who died of breast, prostate, lung, or colorectal cancer between 2011 and 2015. We used multivariable logistic regression to identify clinical, demographic, socioeconomic, and geographic predictors of high-intensity EoL care, which we defined as death in an acute care hospital, receipt of any oral or parenteral chemotherapy within 14 days of death, one or more admissions to the intensive care unit within 30 days of death, two or more emergency department visits within 30 days of death, or two or more inpatient admissions within 30 days of death. RESULTS: Among 59,355 decedents, factors associated with increased likelihood of receiving high-intensity EoL care were increased comorbidity burden (odds ratio [OR]:1.29; 95% confidence interval [CI]:1.28-1.30), female sex (OR:1.05; 95% CI:1.01-1.09), Black race (OR:1.14; 95% CI:1.07-1.23), Other race/ethnicity (OR:1.20; 95% CI:1.10-1.30), stage III disease (OR:1.11; 95% CI:1.05-1.18), living in a county with >1,000,000 people (OR:1.23; 95% CI:1.16-1.31), living in a census tract with 10%-<20% poverty (OR:1.09; 95% CI:1.03-1.16) or 20%-100% poverty (OR:1.12; 95% CI:1.04-1.19), and having state-subsidized Medicare premiums (OR:1.18; 95% CI:1.12-1.24). The risk of high-intensity EoL care was lower among patients who were older (OR:0.98; 95% CI:0.98-0.99), lived in the Midwest (OR:0.69; 95% CI:0.65-0.75), South (OR:0.70; 95% CI:0.65-0.74), or West (OR:0.81; 95% CI:0.77-0.86), lived in mostly rural areas (OR:0.92; 95% CI:0.86-1.00), and had poor performance status (OR:0.26; 95% CI:0.25-0.28). Results were largely consistent across cancer types. DISCUSSION: The risk factors identified in our study can inform the development of new interventions for patients with cancer who are likely to receive high-intensity EoL care. Health systems should consider incorporating these risk factors into decision-support tools to assist clinicians in identifying which patients should be referred to hospice and palliative care.

Rhode Island (RI) Women's Breast Cancer Mammography Use Prior to and After Cancer Diagnosis: Linkage of RI Cancer Registry Data With RI All-Payer Claims Database.

OBJECTIVE: A limitation of the central cancer registries to examine associations between mammography use and cancer diagnosis is their lack of cancer screening history. To fill this measurement gap, Rhode Island Cancer Registry (RICR) breast cancer (BC) records were linked to Rhode Island-all-payer claims database (RI-APCD) to study Rhode Island (RI) women's regular mammography use and identify its predictors. METHODS: From the linked 2011-2019 data, we identified 4 study cohorts: (1) women who ever received mammography by Women's Cancer Screening Program (WCSP) and were diagnosed with BC ("WCSP-BC" cohort: n = 149), (2) women diagnosed with BC outside of WCSP (BC-control cohort: n = 4304), (3) women with a history of mammography use at WCSP but no BC diagnosis (n = 6513), and (4) general RI women with no BC diagnosis (n = 15 121). Logistic regressions were conducted to identify predictors of regular mammography use. RESULTS: The linkage for RI-APCD and RICR for our study had a high matching rate of 82%. Mammography use prior to BC diagnosis was not different between the WCSP-BC cohort and the BC-control cohort (58% vs 57%). Women in the BC-control cohort who had mammography in 2 years prior to their cancer diagnosis were more likely of being diagnosed at an early-stage disease. Among BC-control group, women with no anxiety/depression or with no preventive examinations were less likely of regular mammography use. Among women with no BC, a lower proportion of women with a history of screening at WCSP had regular mammography use, compared with the general RI women (38% vs 66%). CONCLUSION: RI-APCD data linkage with RICR provides excellent opportunities to examine regular mammography use among RI women and compare their outcomes to the general women population in the state. We identified opportunities for improving their mammography use. A measurement gap in the central cancer registries can be effectively reduced by utilizing statewide claims database.

Association between adherence with oral anticancer medications and short-term health care resource utilization: A 2010-2018 claims-based analysis.

BACKGROUND: There is limited evidence on the effect of adherence to oral anticancer medications on health care resource utilization (HRU) among patients with cancer. OBJECTIVE: To determine the association between adherence to oral anticancer medication and subsequent HRU. METHODS: A retrospective cohort study was conducted using Optum Clinformatics® Data Mart commercial claims database. Patients who initiated an oral anticancer medication between 2010 and 2017 were included. Proportion of days covered was used to calculate medication adherence in the first 6 months after oral anticancer medication initiation. All-cause HRU in the following 6 months was assessed. Multivariable negative binomial regressions were used to determine the association between oral anticancer medication adherence and HRU, after controlling for confounders. RESULTS: Of 37,938 patients, 51.9% were adherent to oral anticancer medications. Adherence with oral anticancer medication was significantly associated with more frequent physician office and outpatient visits for several cancer types with the strongest association among those with liver cancer (adjusted incidence rate ratio [aIRR] = 1.34; 95% CI = 1.18-1.52 and aIRR = 1.32; 95% CI = 1.13-1.55, respectively). Oral anticancer medication adherence was associated with more emergency department visits only among patients with lung cancer (aIRR = 1.22; 95% CI = 1.01-1.48). Oral anticancer medication adherence was significantly associated with a higher rate of inpatient hospitalizations and longer stays among patients with liver cancer (aIRRs were 1.45 [95% CI = 1.02-2.05] and 2.15 [95% CI = 1.21-3.81], respectively), whereas hospitalizations were fewer and length of stay was shorter among patients with colorectal cancer who were adherent with oral anticancer medication (aIRRs were 0.77 [95% CI = 0.68-0.86] and 0.77 [95% CI = -0.66 to 0.90], respectively). Other measures did not reveal statistically significant differences in HRU among adherent and nonadherent patients for the cancer types included in the study. CONCLUSIONS: HRU following the initial phase of oral anticancer medication therapy was generally similar among adherent and nonadherent patients. We observed a slightly higher rate of office and outpatient visits among adherent patients, which may reflect ongoing monitoring among patients continuing oral anticancer medication. Further studies are needed to determine how oral anticancer medication adherence may affect HRU over a longer time period.

Association of guideline-concordant care with survival, health care utilization, and costs among older women with advanced epithelial ovarian cancer.

OBJECTIVES: To examine guideline-concordant care (GCC) for ovarian cancer, identify its predictors, and evaluate the associations between GCC and survival, health care expenditures, and utilization. STUDY DESIGN: A retrospective cohort study using Surveillance, Epidemiology, and End Results-Medicare data. METHODS: Women aged 66 to 90 years who received a diagnosis of stage II or higher epithelial ovarian cancer during 2011-2015 were included (N = 3237). The National Comprehensive Cancer Network clinical practice guidelines were used to identify GCC. Logistic regression was conducted to identify predictors of GCC, a Cox proportional hazards model was used to examine mortality, and generalized linear models were used to examine mean monthly Medicare expenditures and health care utilization. RESULTS: Approximately 57% of women received GCC and 11.6% of women did not receive any cancer-specific treatment. Women who were relatively older (adjusted odds ratio [AOR], 0.272; 95% CI, 0.210-0.351), had Census tract income of $50,000 or less (AOR, 0.709; 95% CI, 0.551-0.913), had a psychiatric condition (AOR, 0.655; 95% CI, 0.464-0.923), and had adenocarcinoma histology (AOR, 0.564; 95% CI, 0.441-0.721) were significantly less likely to receive GCC. Race/ethnicity was not found to be a significant predictor of GCC. Women who received surgery only or chemotherapy only had a significant higher hazard of all-cause mortality and ovarian cancer-specific mortality compared with those who received GCC (surgery only: adjusted HR [AHR], 2.307; chemotherapy only: AHR, 1.802). Receiving chemotherapy only was associated with 45% (P < .0001) higher mean monthly expenditures compared with those who received GCC. CONCLUSIONS: Non-GCC was associated with worsened survival, higher health care utilization, and increased expenditures. It is important to highlight that women who received GCC were associated with better survival likely due to favorable prognostic clinical factors.

Real-World Outcomes Associated With Letermovir Use for Cytomegalovirus Primary Prophylaxis in Allogeneic Hematopoietic Cell Transplant Recipients: A Systematic Review and Meta-analysis of Observational Studies.

Background: A systematic review and meta-analysis of real-world observational studies was conducted to summarize the impact of letermovir cytomegalovirus (CMV) primary prophylaxis (PP) among adult allogeneic hematopoietic cell transplant (allo-HCT) recipients. Methods: Systematic searches in Medline/PubMed, Embase, and conferences (from database inception to October 2021) were conducted to identify studies for inclusion. Random-effects models were used to derive pooled estimates on the relative effectiveness of letermovir PP compared to controls. Results: Forty-eight unique studies (N = 7104 patients) were included, most of which were comparative, single-center, and conducted in the United States. Letermovir PP was associated with statistically significant reduction in odds of CMV reactivation (pooled odds ratio [pOR], 0.13 and 0.24; P < .05), clinically significant CMV infection (pOR, 0.09 and 0.19; P < .05), and CMV disease (pOR, 0.31 and 0.35; P < .05) by day +100 and day +200 after allo-HCT, respectively. Letermovir PP was associated with significantly lower odds of all-cause (pOR, 0.73; P < .01) and nonrelapse mortality (pOR, 0.65; P = .01) beyond day 200 after allo-HCT. Conclusions: Letermovir for CMV PP was effective in reducing the risk of CMV-related complications overall and mortality beyond day 200 among adult allo-HCT recipients.

Evaluation of the association between health insurance status and healthcare utilization and expenditures among adult cancer survivors in the United States.

BACKGROUND: Health care expenditures for cancer care has increased significantly over the past decade and is further projected to rise. This study examined the associations between health insurance status and total direct health care expenditures and health care utilization among cancer survivors living in the United States. METHODS: A cross-sectional study of cancer survivors aged ≥18 years, identified from the Medical Expenditures Panel Survey (MEPS) during 2017 using International Classification of Diseases, Tenth Revision codes specific for cancer. Health insurance was categorized into Private, Medicare, Medicaid, and uninsured. Multivariable ordinary least squares regression was used to examine the association between log expenditures and health insurance. Negative binomial regression with log link was used to obtain adjusted incident rate ratios (AIRR) for health care utilization. Survey weights were used to produce nationally representative estimates of the US population. RESULTS: A total of 1140 (weighted = 13.9 million) cancer survivors were identified. Compared to the adjusted mean annual health care expenditures for the private group ($14,265; 95% confidence interval (CI): $12,645 to $16,092), the adjusted mean annual health care expenditures for the Medicare group were higher ($15,112; 95%CI: $13,361 to $17,092). As compared to the private group, the average annual expenditures for uninsured cancer survivors ($2315; 95%CI:1038 to $3501) was significantly lower and so was their health care utilization. Adjusted rates of ER visits for Medicaid were twice (AIRR:2.04; SE:0.28; p = 0.001) as compared to privately insured. CONCLUSIONS: A difference in the average total direct expenditures between uninsured and privately insured patients was found. Uninsured had the lowest health care utilization while Medicaid reported significantly higher number of ER visits. Despite differences in program structures, health care expenditures across insurance types were similar. Lower utilization of health care services among uninsured suggests cost maybe a barrier to accessing care.

Adverse Events Induced by Nivolumab Plus Ipilimumab vs. Nivolumab Monotherapy among Cancer Patients: A Systematic Review and Meta-Analysis.

A systematic review and meta-analysis of randomized controlled trials (RCTs) were performed to examine treatment-related adverse events (TRAEs) for combination of nivolumab (NIVO) and ipilimumab (IPI) compared to NIVO monotherapy among cancer patients. We searched several databases to identify relevant RCTs. Meta-analysis was performed using random-effects model. In fourteen RCTs included in the study, we found that compared to NIVO monotherapy, combination NIVO + IPI increased the risk of any grade (Risk Ratio (RR) = 1.11), and grade 3 or 4 (RR = 1.95) TRAEs. Compared to NIVO, NIVO + IPI had higher risk for any grade colitis (RR = 4.52), pneumonitis (RR = 3.06), and diarrhea (RR = 1.68).

Predictors of adherence to oral anticancer medications: An analysis of 2010-2018 US nationwide claims.

BACKGROUND: Various factors, including patient demographic and socioeconomic characteristics, patient out-of-pocket (OOP) costs, therapy-related factors, clinical characteristics, and health-system factors, can affect patient adherence to oral anticancer medications (OAMs). OBJECTIVE: To determine the proportion of patients initiating oral anticancer therapy who were adherent to OAMs and to identify significant predictors of adherence to OAMs, including patient OOP costs and patient demographics. METHODS: A retrospective cohort study was conducted using data from Optum Clinformatics Data Mart commercial claims database for 2010-2018. Patients with a new pharmacy claim for an OAM between July 1, 2010, and December 31, 2017, were followed for 6 months to ascertain their medication adherence, which was defined as a proportion of days covered value of at least 0.8. Average monthly patient OOP costs for OAM prescriptions were categorized as lower OOP costs (quartiles 1-3) and higher OOP costs (quartile 4). Separate multivariable logistic regressions were conducted to identify predictors of OAM nonadherence for each cancer type. RESULTS: Out of 37,938 patients with cancer, 51.9% were adherent to OAMs, with adherence ranging from 32.8% among those with liver cancer to 70.4% among those with brain tumor. The average monthly OOP costs of OAMs also differed by cancer type, ranging from $749 (SD = $1,014) among patients with blood cancer to $106 (SD = $439) among those with prostate cancer. Higher patient OOP costs were associated with higher odds of OAM nonadherence for many cancer types, including renal cancer (adjusted odds ratio [AOR] = 3.91; 95% CI = 2.80-5.47) and breast cancer (AOR = 1.26; 95% CI = 1.13-1.41). Additionally, patients with inpatient hospitalizations during the 6 months following OAM initiation had significantly higher odds of OAM nonadherence for all cancer types except for stomach cancer. Among patients with stomach cancer, male sex was associated with lower odds of OAM nonadherence (AOR = 0.60; 95% CI = 0.37-0.97). Among patients with renal or stomach cancer, those who had Medicare low-income subsidy had higher odds of OAM nonadherence compared with those with commercial insurance coverage. Among patients with blood cancers, Black and Hispanic patients had higher odds of OAM nonadherence compared with White patients (AOR = 1.48; 95% CI = 1.25-1.75 and AOR = 1.38; 95% CI = 1.13-1.68, respectively). CONCLUSIONS: Overall adherence to OAMs was suboptimal, and for several cancer types, adherence was worse among patients with higher OOP costs, those who were hospitalized, and those who received Medicare low-income subsidy. Policies addressing cost and access to OAMs and health-system strategies to address barriers to the effective use of OAMs are needed to improve patient access to these vital medications. DISCLOSURES: This study was funded by joint funding from the Pharmacy Quality Alliance and the National Pharmaceutical Council (NPC). Drs Vyas and Kogut were partially supported by this joint funding. Mr Descoteaux was supported by this joint funding for performing data analysis. The content is solely the responsibility of the authors and does not necessarily represent the official views of PQA or NPC. Dr Campbell completed this work during his employment at Pharmacy Quality Alliance; he is now an employee of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ.

Association of guideline-concordant initial systemic treatment with clinical and economic outcomes among older women with metastatic breast cancer in the United States.

PURPOSE: We examined guideline-concordant initial systemic treatment among women with metastatic breast cancer, its predictors, and if guideline-concordant treatment was associated with mortality, healthcare utilization and Medicare expenditures. METHODS: This retrospective observational cohort study was conducted using the Surveillance, Epidemiology, End Results-Medicare linked database. Women aged 66-90 years diagnosed with metastatic breast cancer during 2010-2013 (N = 1282) were included. The National Comprehensive Cancer Network treatment guidelines were used to determine the guideline-concordant initial systemic treatment following cancer diagnosis. A logistic regression analysis was conducted to examine significant predictors of guideline-concordant treatment. Generalized linear regressions were used to examine the association between guideline-concordant treatment and healthcare utilization and average monthly Medicare expenditures. RESULTS: About 74% of the study cohort received guideline-concordant initial systemic treatment. Women who received guideline-concordant treatment were significantly more likely to be comparatively younger (p < 0.05), were married/partnered (p = 0.0038), had HER2 positive tumors, and had good performance status. Adjusted hazards ratios for all-cause (2.364, p < 0.0001) and breast-cancer specific mortality (2.179, p < 0.0001) were higher for women who did not receive guideline-concordant treatment. Rates of healthcare utilization were also higher for women not receiving guideline-concordant treatment. Average monthly Medicare expenditures were 100.4% higher (95% confidence interval: $77.3%-126.5%) for women who did not receive guideline-concordant treatment compared to those who received guideline-concordant treatment (p < 0.0001). CONCLUSION: One fourth of the study cohort did not receive guideline-concordant initial systemic treatment. Guideline-concordant initial treatment was associated with reduced mortality, and lower healthcare utilization and Medicare expenditures in women with metastatic breast cancer.

Disparities in Guideline-Concordant Initial Systemic Treatment in Women with HER2-Negative Metastatic Breast Cancer: A SEER-Medicare Analysis.

BACKGROUND: Data on guideline-concordant initial systemic treatment among women with HER2-negative metastatic breast cancer (MBC) are limited. We determined the proportion of women with HER2-negative MBC who received guideline-concordant treatment and the extent to which independent variables explained differences in guideline-concordant treatment by hormone receptor (HR) status. METHODS: We conducted a retrospective cohort study using the SEER-Medicare database. We included women age >65 years diagnosed with HER2-negative MBC during 2010-2013. We used the National Comprehensive Cancer Network treatment guidelines to determine guideline-concordant initial treatment within the first 6 months of a cancer diagnosis. We conducted a multivariable logistic regression to identify the significant predictors of guideline-concordant treatment and a non-linear decomposition method to examine disparities by HR status. RESULTS: Among 1089 eligible women, 72.3% received guideline-concordant treatment. Compared to women who did not receive guideline-concordant treatment, women who received guideline-concordant treatment were more like to be comparatively older (p<0.05), married (p=0.0171), resided in areas with higher proportion of people age ≥25 years with at least four years of college education, and had positive HR status (p<0.0001). Approximately 8% of the disparity in guideline-concordant treatment by HR status was explained by their observed characteristics. Need-related factors explained the highest proportion (66.9%) of the disparity. CONCLUSION: Our findings indicate improvement of care for older women, who are single/divorced, have negative HR status, and who live in area with lower education levels. Unexplained disparities in guideline-concordant treatment by HR status can be attributed to patient preferences for treatment, physician-level factors, and perceptions.

Guideline-Concordant Treatment Among Elderly Women With HER2-Positive Metastatic Breast Cancer in the United States.

BACKGROUND: It is crucial to identify whether women with HER2-positive (HER2+) metastatic breast cancer (MBC) are treated according to treatment guidelines and whether treatment disparities exist. This study examined guideline-concordant treatment among women with HER2+ MBC and determined the magnitude of differences in treatment between those with positive and negative hormone receptor (HR) status using a nonlinear decomposition technique. METHODS: A retrospective observational cohort study was conducted using the SEER-Medicare linked database. The study cohort consisted of women aged ≥66 years diagnosed with HER2+ MBC in 2010 through 2013 (n=241). Guideline-concordant initial treatment after cancer diagnosis was defined based on the NCCN Clinical Practice Guidelines in Oncology for Breast Cancer. A multivariable logistic regression was performed to identify significant predictors of guideline-concordant treatment. A postregression decomposition was conducted to identify the magnitude of disparities in treatment by HR status. RESULTS: Of 241 women included in the study, a total of 76.8% received guideline-concordant treatment. These women were significantly more likely to have positive HR status (P=.0298), have good performance status (P=.0009), and more oncology visits (P<.0001). With 1-year increments in age at cancer diagnosis, the likelihood of receiving guideline-concordant treatment reduced by 5% (P=.0356). The decomposition analysis revealed that 19.0% of the disparity in guideline-concordant treatment between women with positive and negative HR status was explained by differences in their characteristics. Enabling characteristics (marital status, income, and education) explained the highest (22.8%) proportion of the disparity. CONCLUSIONS: Nearly one-quarter of the study cohort did not receive guideline-concordant treatment. Our findings suggest opportunities to improve cancer care for elderly women with negative HR status who are unpartnered or have lower socioeconomic status. The high unexplained portion of the disparity by HR status can be due to patient treatment preferences, propensity to seek care, and organizational and physician-level characteristics that were not included in the study.

Psychotropic polypharmacy and its association with health-related quality of life among cancer survivors in the USA: a population-level analysis.

PURPOSE: Cancer survivors that use multiple psychotropic medications are at an increased risk of psychotropic polypharmacy. We examined the association between psychotropic polypharmacy and health-related quality of life (HRQoL) among cancer survivors living in the USA. METHODS: We used the Medical Expenditure Panel Survey (MEPS) data for 2010, 2012, and 2014 to identify adult cancer survivors. Psychotropic polypharmacy was defined as use of at least two classes of psychotropic prescription medications. The physical component summary (PCS) and the mental component summary (MCS) were obtained from the 12-item Short Form Health Survey version 2 to measure HRQoL. Adjusted ordinary least square regressions were performed to evaluate the association between psychotropic polypharmacy and HRQoL. RESULTS: Among 31 million US cancer survivors (weighted from a sample of 2609), 16.3% reported psychotropic polypharmacy. Lung cancer survivors had the highest prevalence of psychotropic polypharmacy (22.5%), followed by survivors of breast cancer (17.8%), colorectal, and other gastrointestinal cancers (16.0%). The unadjusted PCS and MCS scores for those with psychotropic polypharmacy were significantly lower than those without psychotropic polypharmacy, overall, and for each cancer type. In multivariable regressions, cancer survivors with psychotropic polypharmacy had significantly lower PCS scores (ß = - 3.63, p < 0.0001) and MCS scores (ß = - 2.28, p = 0.0138) compared to those without psychotropic polypharmacy. CONCLUSION: Cancer survivors requiring multiple psychotropic medications have poorer quality of life.

Association between polypharmacy and health-related quality of life among cancer survivors in the United States.

PURPOSE: Polypharmacy (PP) is present in many cancer survivors and may lead to lower health-related quality of life (HRQoL). The study's objective was to evaluate the association between PP and HRQoL among cancer survivors in the US. METHODS: A cross-sectional analysis of the Medical Expenditure Panel Survey (MEPS) was conducted. Our analytic sample included all adult patients with cancer, during even years 2008-2014. PP was defined as reported use of five or more unique therapeutic classes of prescription medications. The MEPS measured HRQoL using the Short Form 12-Item Health Survey Version 2 (SF-12v2) physical component summary (PCS) and mental component summary (MCS) scores. Ordinary least squares regressions were used to assess associations between PP and HRQoL controlling for demographic, socioeconomic, and clinical factors. RESULTS: PP was prevalent among 44.4% of 10.1 million cancer survivors per calendar year (on average) for years 2008, 2010, 2012, and 2014. The mean adjusted PCS score for cancer survivors with PP was 35.8 points, which was significantly lower compared with cancer survivors without PP (39.5) by 3.7 points (p value < .0001). Conversely, the mean adjusted MCS scores were not significantly lower in cancer survivors with PP compared with cancer survivors without PP (44.9 versus 45.4, p value = 0.3145). CONCLUSIONS: PP was prevalent in 44.4% of cancer survivors and was associated with significantly poorer physical HRQoL than reported in their counterparts without PP. IMPLICATIONS FOR CANCER SURVIVORS: PP should be examined closely among cancer survivors because of increased association with poorer physical HRQoL.

Association between polypharmacy and health-related quality of life among US adults with cardiometabolic risk factors.

PURPOSE: There are known associations between cardiometabolic risk factors and polypharmacy; however, there is no evidence about how polypharmacy among adults with cardiometabolic risk factors impacts their health-related quality of life (HRQoL). The main objective of this study was to assess the association between polypharmacy and HRQoL among adults with cardiometabolic risk factors living in the USA. METHODS: Individuals age ≥ 18 years with at least one of the three cardiometabolic risk factors (diabetes, hyperlipidemia, and hypertension) were identified from the Medical Expenditure Panel Survey 2015 data. We defined polypharmacy as use of at least five classes of prescription medications. Physical component summary (PCS) and mental component summary (MCS) were obtained from the 12-item Short-Form Health Survey version 2 to measure HRQoL. We conducted adjusted ordinary least-square regressions to determine the association between polypharmacy and HRQoL. RESULTS: We identified 7621 (weighted N = 80 million) adults with at least one cardiometabolic risk factors of whom 46.9% reported polypharmacy. Polypharmacy was noted in 29.7% of those with hypertension, whereas 82.4% of those with all the three cardiometabolic risk factors had polypharmacy. The unadjusted mean PCS and MCS scores for those with polypharmacy were lower than those without polypharmacy. In the multivariable regressions, we found that adults with polypharmacy had significantly lower PCS scores (ß = - 4.27, p < 0.0001) compared to those without polypharmacy, while the MCS scores between those with and without polypharmacy were no longer significantly different. CONCLUSION: Surveillance of use of concurrent prescription medications is warranted so as to improve physical functioning in this vulnerable group.

Real-World Direct Health Care Costs Associated with Psychotropic Polypharmacy Among Adults with Common Cancer Types in the United States.

BACKGROUND: Psychotropic polypharmacy is not uncommon among cancer patients and may contribute to the increased direct health care cost burden in this population. OBJECTIVE: To estimate average direct health care costs in the year following cancer diagnosis among cancer patients receiving psychotropic polypharmacy compared with those without psychotropic polypharmacy, using a multivariable analysis framework. METHODS: A retrospective cross-sectional study was conducted among patients aged 18 years and older diagnosed with the most commonly occurring cancers (breast, prostate, lung, and colorectal) in the United States during 2011-2012 using the deidentified Optum Clinformatics Data Mart commercial claims database. Psychotropic polypharmacy was defined as concurrent use of 2 or more psychotropic medications for at least 90 days. Direct health care costs in the year following cancer diagnosis were estimated as total medical payments made by the health plans and were derived from claims files. A generalized linear regression model with log-link function and gamma distribution was used to model average direct health care costs, controlling for baseline patient demographic and clinical covariates. RESULTS: Average annual direct health care costs for cancer patients with psychotropic polypharmacy ($53,497; SD $72,590) were higher than those without psychotropic polypharmacy ($38,255; SD $59,844), with an unadjusted average cost difference of $15,242 (P < 0.0001). In the adjusted regression model, the average difference in costs shrunk to $5,888 but remained notable. When examined by type of cancer, average direct health care costs for all cancer patients with psychotropic polypharmacy were significantly higher than those for patients without psychotropic polypharmacy, except for colorectal cancer patients. CONCLUSIONS: Overall health care costs were higher among cancer patients with psychotropic polypharmacy compared with those without psychotropic polypharmacy. Our findings support the need for future research to better understand the benefits and risks of psychotropic polypharmacy, given its potential to cause adverse health outcomes and avoidable health care utilization and costs for this vulnerable patient population. DISCLOSURES: This study was funded by the American Association of Colleges of Pharmacy (AACP) New Investigator Award mechanism, which was received by Vyas. Aroke was partially supported by the AACP grant for conducting data analysis of the study. Kogut is partially supported by Institutional Development Award Number U54GM115677 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds Advance Clinical and Translational Research (Advance-CTR). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health and the AACP. The authors report no conflicts of interest. An abstract of this study was presented as a poster at the American Association of Colleges of Pharmacy Annual Meeting on July 22, 2018, in Boston, MA.

Prevalence of Psychotropic Polypharmacy and Associated Healthcare Resource Utilization during Initial Phase of Care among Adults with Cancer in USA.

BACKGROUND: The use of psychotropic medications is not uncommon among patients with newly diagnosed cancer. However, the impact of psychotropic polypharmacy on healthcare utilization during the initial phase of cancer care is largely unknown. METHODS: We used a claims database to identify adults with incident breast, prostate, lung, and colorectal cancers diagnosed during 2011-12. Psychotropic polypharmacy was defined as concurrent use of two or more psychotropic medication classes for at least 90 days. A multivariable logistic regression was performed to identify significant predictors of psychotropic polypharmacy. Multivariable Poisson and negative binomial regressions were used to assess the associations between psychotropic polypharmacy and healthcare utilization. RESULTS: Among 5604 patients included in the study, 52.6% had breast cancer, 30.6% had prostate cancer, 11.4% had colorectal cancer, and 5.5% had lung cancer. During the year following incident cancer diagnosis, psychotropic polypharmacy was reported in 7.4% of patients, with the highest prevalence among patients with lung cancer (14.4%). Compared with patients without psychotropic polypharmacy during the initial phase of care, patients with newly diagnosed cancer with psychotropic polypharmacy had a 30% higher rate of physician office visits, an 18% higher rate of hospitalization, and a 30% higher rate of outpatient visits. The rate of emergency room visits was similar between the two groups. CONCLUSION: Psychotropic polypharmacy during the initial phase of cancer care was associated with significantly increased healthcare resource utilization, and the proportion of patients receiving psychotropic polypharmacy differed by type of cancer. IMPACT: Findings emphasize the importance of evidence-based psychotropic prescribing and close surveillance of events causing increased healthcare utilization among patients with cancer receiving psychotropic polypharmacy.

Do acute coronary events affect lipid management and cholesterol goal attainment in Germany? : Results from the Dyslipidemia International study II.

OBJECTIVE: To document utilization of lipid-lowering therapy, attainment of low-density lipoprotein cholesterol target values, and cardiovascular outcomes in patients hospitalized for acute coronary syndrome in Germany. METHODS: The Dyslipidemia International Study II was a multicenter, observational study of the prevalence of dyslipidemia and lipid target value attainment in patients surviving any acute coronary syndrome event. Among patients on lipid-lowering therapy for ≥3 months, use of lipid-lowering therapy and lipid profiles were assessed at admission and again at 120 ± 15 days after admission (the follow-up time point). Multivariate logistic regression was used to identify variables predictive of low-density lipoprotein cholesterol target value attainment in patients using lipid-lowering therapy. RESULTS: A total of 461 patients hospitalized for acute coronary syndrome were identified, 270 (58.6%) of whom were on lipid-lowering therapy at admission. Among patients on lipid-lowering therapy, 90.7% and 85.9% were receiving statin monotherapy at admission and follow-up, respectively. Mean (SD) low-density lipoprotein cholesterol levels in patients on lipid-lowering therapy were 101 (40) mg/dl and 95 (30) mg/dl at admission and follow-up, respectively. In patients with data at both admission and follow-up (n = 61), low-density lipoprotein cholesterol target value attainment rates were the same (19.7%) at both time points. Smoking was associated with a 77% lower likelihood of attaining the low-density lipoprotein cholesterol target value. CONCLUSION: Hospitalization for an acute event does not greatly alter lipid management in acute coronary syndrome patients in Germany. Both lipid-lowering therapy doses and rates of low-density lipoprotein cholesterol target value attainment remained essentially the same several months after the event.

Healthcare Utilization and Costs During the Initial Phase of Care Among Elderly Women With Breast Cancer.

Background: Understanding the patterns of healthcare utilization and costs during the initial phase of care (12 months after breast cancer [BC] diagnosis) in older women (aged ≥65 years) is crucial in the allocation of Medicare resources. The objective of this study was to determine healthcare utilization and costs during the initial phase of care in older, female, Medicare fee-for-service beneficiaries diagnosed with BC, and to determine the factors associated with higher costs. Methods: A retrospective observational study using the SEER-Medicare linked database was conducted in 69,307 women aged ≥66 years diagnosed with primary incident BC in 2003-2009 to determine healthcare utilization, average costs, and costs for specific services during the initial phase of care. Generalized linear model regression was conducted to identify the factors associated with higher costs in a multivariate framework. Results: A total of 96% of women were treated with surgery during the initial phase of BC care, whereas 21% and 54% underwent chemotherapy and radiotherapy, respectively. Costs during the initial phase of care totalled $28,075 in 2012 USD, comprising $13,344 for physician services and $7,456 for outpatient services. Factors associated with higher costs during the initial phase of care were younger age (66-69 years), African American race, higher household income, advanced stages of BC, initial BC treatment, higher number of primary care physician visits, and presence of comorbidities and/or a mental condition. Conclusions: The economic burden of BC is substantial during the initial phase of care. Physician and outpatient services accounted for the highest proportion of costs. Predisposing factors, need-related factors, healthcare use, and external environmental healthcare factors significantly predicted costs during the initial phase of care.

Changes in Treatment Patterns and Incremental Health Care Utilization Due to P2Y12-Associated Complications in Patients with Acute Coronary Syndrome.

BACKGROUND: P2Y12 antiplatelet therapy (APT) is highly efficacious in reducing the incidence of ischemic events in patients with acute coronary syndrome (ACS); however, it is associated with several adverse complications. Data on P2Y12-associated complications and adherence to APT are sparse. OBJECTIVE: To describe the characteristics, frequency of P2Y12-associated complications, adherence and persistence to P2Y12 APT, and health care utilization among ACS patients on P2Y12 APT. METHODS: This retrospective observational study of the MarketScan Commercial Claims and Encounters Database identified patients aged ≥ 18 years who were discharged from an ACS hospitalization in 2012-2014 and initiated P2Y12 APT (ticagrelor, prasugrel, or clopidogrel). The proportion of patients within each treatment group who experienced P2Y12-associated complications within 1 year and who were adherent to APT were determined. Frequencies of all-cause health care utilization (i.e., hospitalization, length of stay, emergency room [ER] visits, outpatient visits, cardiac events, and transfusions) were evaluated for each treatment group. Poisson regressions were conducted to evaluate the association between nonad-herence with P2Y12 APT and health care utilization, after adjusting for demographics (age and gender), health insurance type, and comorbidities. RESULTS: Among 11,629 ACS patients, most were male; 44.6% had hypertension; 20.6% had diabetes; and 53.4% had hyperlipidemia. Clopidogrel use was common (62.6%), with ticagrelor use less common (9.0%). Among all groups, approximately one third experienced P2Y12-associated complications. One-year adherence to APT was suboptimal (68% overall), with 73.3% adherence among prasugrel users, followed by 71.4% adherence among ticagrelor users and 65.6% adherence among clopidogrel users. Switching was most common with ticagrelor users. Inpatient hospitalizations, cardiac events, and transfusions were more common in clopidogrel users compared with prasugrel and ticagrelor users. Nonadherent patients experienced significantly more hospitalizations, ER visits, and transfusions (1.34, 1.09, and 1.85 [P < 0.05], respectively) compared with adherent patients. These trends of association remained consistent across all treatment groups. Also, patients not adherent to ticagrelor experienced 1.9 times as many cardiac events as adherent patients. However, this association was not significant for clopidogrel and prasugrel users. Patients not adherent to P2Y12 APT experienced significantly lower outpatient visits compared with adherent patients. CONCLUSIONS: Complications associated with P2Y12 in ACS patients treated with P2Y12 APT were common, with dyspnea, heart block, and major or life-threatening bleeding as the most common. Adherence was significantly associated with lower health care utilization. Increased adherence to secondary prevention therapy among these very high-risk patients is crucial. Disease management strategies to improve adherence and reduce treatment-associated adverse events through individualized patient care, alternative secondary treatment options, and physician awareness should be designed, implemented, and sustained. DISCLOSURES: Data analysis was conducted by Merck & Co., the manufacturer of vorapaxar (ZONTIVITY). At the time of this study, Vyas was an employee of Rutgers University, which received grant funding from Merck & Co. for this study, and is now employed with the University of Rhode Island. Patel was employed by Symphony Solutions and the University of North Carolina during the drafting and revising of the manuscript. Bash is employed by Merck & Co. Simpson received consulting fees from Merck & Co. for work on this study and has received fees for research from Amgen and Pfizer. Study concept and design were contributed by Vyas, Bash, Patel, and Simpson. Patel took the lead in data collection, assisted by the other authors. All the authors contributed equally to data analysis and manuscript preparation. The abstract for this study was presented as a poster at the American Heart Association Scientific Sessions 2016; November 12-16, 2016; New Orleans, Louisiana.

Impact of depression treatment on health-related quality of life among adults with cancer and depression: a population-level analysis.

PURPOSE: Cancer diagnosis in adults is often accompanied by negative impacts, which increase the risk of depression thereby lowering health-related quality of life (HRQoL). We examined the association between depression treatment and HRQoL among US adults with cancer and depression. METHODS: Patients age 18 and above, with self-reported cancer and depression diagnoses were identified from Medical Expenditure Panel Survey database for 2006-2013. Baseline depression treatment was categorized as antidepressants only, psychotherapy with or without antidepressant use, and no reported use of antidepressants or psychotherapy. HRQoL was measured using SF-12 physical component summary (PCS) and mental component summary (MCS) scores. Adjusted ordinary least squares regressions estimated the association between type of depression treatment and HRQoL. RESULTS: Out of 450 (weighted per calendar year: 2.1 million) cancer adults included in the study, 51% received antidepressants only, while 16% received psychotherapy with or without antidepressants. In bivariate analyses, the mean MCS score was lowest among those who received psychotherapy with or without antidepressants compared to those receiving antidepressants only and those with no reported use of either modality, p < 0.05. In multivariate analyses, there was no significant difference in HRQoL by type of depression treatment. CONCLUSION: Despite treatment for depression, HRQoL did not improve during the measurement timeframe. Quality of life is a priority health outcome in cancer treatment, yet our findings suggest that current clinical approaches to ameliorate depression in cancer patients appear to be suboptimal. IMPLICATIONS FOR CANCER SURVIVORS: Adults with cancer and comorbid depression should receive appropriate depression care in order to improve their HRQoL.