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Although a broad range of data resources have played a key role in the substantial achievements of cancer health economics research, there are now needs for more comprehensive data that represent a fuller picture of the cancer care experience. In particular, researchers need information that represents more diverse populations; includes more clinical details; and provides greater context on individual- and neighborhood-level factors that can affect cancer prevention, screening, treatment, and survivorship, including measures of financial health or toxicity, health-related social needs, and social determinants of health. This article highlights 3 critical topics for cancer health economics research: the future of the National Cancer Institute’s Surveillance, Epidemiology, and End Results-Centers for Medicare & Medicaid Services–linked data resources; use of social media data for cancer outcomes research; and multi-site–linked electronic health record data networks. These 3 topics represent different approaches to enhance data resources, linkages, and infrastructures and are complementary strategies to provide more complete information on activities involved in and factors affecting the cancer control continuum. These and other data resources will assist researchers in examining the complex and nuanced questions now at the forefront of cancer health economics research.

Background Financial toxicity is a growing problem in oncology, but no prior studies have prospectively measured the financial impact of cancer treatment in a diverse national cohort of newly diagnosed cancer patients. S1417CD was the first cooperative group-led multicenter prospective cohort study to evaluate financial hardship in metastatic colorectal cancer (mCRC) patients. Methods Patients aged 18 years or older within 120 days of mCRC diagnosis completed quarterly questionnaires for 12 months. We estimated the cumulative incidence of major financial hardship (MFH), defined as 1 or more of increased debt, new loans from family and/or friends, selling or refinancing home, or 20% or more income decline. We evaluated the association between patient characteristics and MFH using multivariate cox regression and the association between MFH and quality of life using linear regression. Results A total of 380 patients (median age = 59.9 years) were enrolled; 77.7% were White, 98.0% insured, and 56.5% had annual income of $50 000 or less. Cumulative incidence of MFH at 12 months was 71.3% (95% confidence interval = 65.7% to 76.1%). Age, race, marital status, and income (split at $50 000 per year) were not statistically significantly associated with MFH. However, income less than $100 000 and total assets less than $100 000 were both associated with greater MFH. MFH at 3 months was associated with decreased social functioning and quality of life at 6 months. Conclusions Nearly 3 out of 4 mCRC patients experienced MFH despite access to health insurance. These findings underscore the need for clinic and policy solutions that protect cancer patients from financial harm.

Supplemental Tables 1-2. Table S1. Main characteristics of trials included in the analysis. Table S2. Sensitivity analysis: Subgroup comparisons of HR for EFS and OS. Supplemental Figures 1-2. Figure S1. Study selection chart. Figure S2. Survival curves of EFS and OS derived from the meta-analysis by pCR status and adjuvant therapy use.

Table S1. Cohort Development for a Comparison of American Indians / Alaska Natives and non-Hispanic Whites with Metastatic Cancer.

Pathologic complete response (pCR) following neoadjuvant therapy has been associated with improved event-free survival (EFS) and overall survival (OS) in early-stage breast cancer. The magnitude of this association varies by breast cancer subtype, yet further research focusing on subtype-specific populations is limited. Here we provide an updated and comprehensive evaluation of the association between pCR and survival outcomes in triple-negative breast cancer (TNBC). A literature review identified neoadjuvant studies, including clinical trials, real-world cohort studies, and studies that pooled multiple trials or cohorts, which reported EFS/OS results by pCR in patients with early-stage TNBC. Meta-analyses were performed to evaluate the association between pCR and EFS/OS and to predict long-term survival outcomes based on pCR status. Sensitivity analyses were conducted to assess the impact of cross-study variations. Twenty-five studies with over 4,000 patients with TNBC were identified. A synthesis of evidence from these studies suggested substantial improvement in EFS and OS for pCR versus non-pCR [EFS HR (95% confidence interval): 0.24 (0.20–0.29); OS: 0.19 (0.15–0.24)]; consistent results were reported in sensitivity analyses. Collectively, our findings suggest that adjuvant therapy is associated with improved EFS/OS in patients with TNBC who received neoadjuvant therapy, regardless of pCR status.

We report the first population-based period life table, the expected lifetime survival for Medicare and Medicaid beneficiaries with Sickle Cell Disease (SCD), and the disparities in survival by insurance types in the United States. We constructed a retrospective cohort of individuals with diagnosed SCD receiving Common Care (any real-world patterns of care except transplant) based on nationwide Medicare and Medicaid claims data (2008-2016), covering beneficiaries in all 50 states. We analyzed lifetime survival probabilities using Kaplan-Meier curves and projected life expectancies at various ages for all and stratified by sex and insurance types. Our analysis included 94,616 individuals with SCD that have not undergone any transplant. Life expectancy at birth was 52.6 years (95% CI: 51.9, 53.4). Compared to the adults covered by Medicaid only, those covered by Medicare for disabilities or end-stage renal disease and those dually insured by Medicare and Medicaid had significantly worse life expectancy. Similarly, for beneficiaries aged ≥65 years, these two insurance types were associated with significantly shorter life expectancy than those enrolled in Medicare old age and survivor's insurance. Our study underscores the persistent life expectancy shortfall for SCD patients, the burden of premature mortality during adulthood, and survival disparities by insurance status.

Background Screening for viral infection in cancer patients is inconsistent. A mechanism to readily identify cancer patients at increased risk of existing or prior viral infection could enhance screening efforts while reducing costs. Methods We identified factors associated with increased risk of past or chronic hepatitis virus B, hepatitis virus C, or HIV infection before initiation of systemic cancer therapy. Data were from a multicenter prospective cohort study of 3051 patients with newly diagnosed cancer (SWOG-S1204) enrolled between 2013 and 2017. Patients completed a survey with questions pertaining to personal history and behavioral, socioeconomic, and demographic risk factors for viral hepatitis or HIV. We derived a risk model to predict the presence of viral infection in a random set of 60% of participants using best subset selection. The derived model was validated in the remaining 40% of participants. Logistic regression was used. Results A model with 7 risk factors was identified, and a risk score with 4 levels was constructed. In the validation cohort, each increase in risk level was associated with a nearly threefold increased risk of viral positivity (odds ratio = 2.85, 95% confidence interval = 2.26 to 3.60, P 3 risk factors), comprised of 13.4% of participants, were 18 times more likely to be viral positive compared with participants with no risk factors (odds ratio = 18.18, 95% confidence interval = 8.00 to 41.3, P Conclusions A risk-stratified screening approach using a limited set of questions could serve as an effective strategy to streamline screening for individuals at increased risk of viral infection.

This article presents a brief historical review of G. I. Taylor's solution of the point blast wave problem which was applied to the Trinity test of the first atomic bomb. Lie group symmetry techniques are used to derive Taylor's famous two-fifths law that relates the position of a blast wave to the time after the explosion and the total energy released. The theory of exterior differential systems is combined with the method of characteristics to demonstrate that the solution of the blast wave problem is directly related to the basic relationships that exist between the geometry (or symmetry) and the physics of wave propagation through the equations of motion. The point blast wave model is cast in terms of two exterior differential systems and both systems are shown to be integrable with local solutions for the velocity, pressure, and density along curves in space and time behind the blast wave.

PURPOSE: Biomarker-driven master protocols represent a new paradigm in oncology clinical trials, but their complex designs and wide-ranging genomic results returned can be difficult to communicate to participants. The objective of this pilot study was to evaluate patient knowledge and expectations related to return of genomic results in the Lung Cancer Master Protocol (Lung-MAP). METHODS: Eligible participants with previously treated advanced non–small-cell lung cancer were recruited from patients enrolled in Lung-MAP. Participants completed a 38-item telephone survey ≤ 30 days from Lung-MAP consent. The survey assessed understanding about the benefits and risks of Lung-MAP participation and knowledge of the potential uses of somatic testing results returned. Descriptive statistics and odds ratios for associations between demographic factors and correct responses to survey items were assessed. RESULTS: From August 1, 2017, to June 30, 2019, we recruited 207 participants with a median age of 67, 57.3% male, and 94.2% White. Most participants “strongly/somewhat agreed” with statements that they “received enough information to understand” Lung-MAP benefits (82.6%) and risks (69.5%). In items asking about potential uses of Lung-MAP genomic results, 87.0% correctly indicated that the results help to select cancer treatment, but < 20% correctly indicated that the results are not used to confirm cancer diagnosis, would not reveal risk of developing diseases besides cancer, and would not indicate if family members had increased cancer risk. There were no associations between sociodemographic factors and proportions providing correct responses. CONCLUSION: In a large National Clinical Trials Network biomarker-driven master protocol, most participants demonstrated incorrect knowledge and expectations about the uses of genomic results provided in the study despite most indicating that they had enough information to understand benefits and risks.

Introduction The impact of clinical trial participation on overall survival is unclear. We hypothesized that enrollment in a therapeutic drug clinical trial is associated with longer overall survival in patients with metastatic non-small cell lung cancer (NSCLC). Patients and Methods We linked electronic medical record and Washington State cancer registry data to identify patients with metastatic NSCLC diagnosed between January 1, 2007, and December 31, 2015 who received treatment at a National Cancer Institute–designated cancer center. The exposure was trial enrollment. The primary outcome was overall survival, defined as the date of second-line treatment initiation to date of death or last follow-up. We used a conditional landmark analysis starting at the date of second-line treatment initiation and propensity scores with inverse probability of treatment weighting to estimate the association between trial enrollment and survival. Results Of 215 patients, 40 (19%) participated in a second-line trial. Trial participants were more likely to be never smokers (45% vs 27%), have a good performance status (88% vs 77%) and have EGFR (48% vs 14%) and ALK mutations (8% vs 5%) than nonparticipants. Trial participants had similar overall survival to nonparticipants (HR 1.05; 95% CI, 0.72, 1.53; p = 0.81) after adjusting for sociodemographic and disease characteristics. Conclusion Accounting for the immortal time bias and selection bias, trial participation does not appear detrimental to survival. This finding may be reassuring to patients and supports programs and policies to improve clinical trial access.

Background: The purpose of this study was to determine factors associated with receipt of screening mammography by insured women before breast cancer diagnosis, and subsequent outcomes. Patients and Methods: Using claims data from commercial and federal payers linked to a regional SEER registry, we identified women diagnosed with breast cancer from 2007 to 2017 and determined receipt of screening mammography within 1 year before diagnosis. We obtained patient and tumor characteristics from the SEER registry and assigned each woman a socioeconomic deprivation score based on residential address. Multivariable logistic regression models were used to evaluate associations of patient and tumor characteristics with late-stage disease and nonreceipt of mammography. We used multivariable Cox proportional hazards models to identify predictors of subsequent mortality. Results: Among 7,047 women, 69% (n=4,853) received screening mammography before breast cancer diagnosis. Compared with women who received mammography, those with no mammography had a higher proportion of late-stage disease (34% vs 10%) and higher 5-year mortality (18% vs 6%). In multivariable modeling, late-stage disease was most associated with nonreceipt of mammography (odds ratio [OR], 4.35; 95% CI, 3.80–4.98). The Cox model indicated that nonreceipt of mammography predicted increased risk of mortality (hazard ratio [HR], 2.00; 95% CI, 1.64–2.43), independent of late-stage disease at diagnosis (HR, 5.00; 95% CI, 4.10–6.10), Charlson comorbidity index score ≥1 (HR, 2.75; 95% CI, 2.26–3.34), and negative estrogen receptor/progesterone receptor status (HR, 2.09; 95% CI, 1.67–2.61). Nonreceipt of mammography was associated with younger age (40–49 vs 50–59 years; OR, 1.69; 95% CI, 1.45–1.96) and increased socioeconomic deprivation (OR, 1.05 per decile increase; 95% CI, 1.03–1.07). Conclusions: In a cohort of insured women diagnosed with breast cancer, nonreceipt of screening mammography was significantly associated with late-stage disease and mortality, suggesting that interventions to further increase uptake of screening mammography may improve breast cancer outcomes.

PurposeInformation is limited about adherence to practice guidelines in patients with hepatitis B virus (HBV), hepatitis C virus (HCV), or HIV infection receiving anticancer treatment.MethodsNewly diagnosed adult cancer patients were enrolled in a multicenter, prospective cohort study (SWOG S1204) during 2013-2017 to evaluate the prevalence of HBV, HCV, or HIV in patients initiating anticancer treatment. At 6months, records of virus-positive patients were reviewed for antiviral therapy use; anticancer treatment dose reduction; and HBV reactivation (elevated viral load). Categorical variables were compared using chi-square or Fisher's exact test.ResultsOf 3055 enrolled patients with viral testing, 230 had chronic or past HBV, HCV, or HIV with 6-month follow-up data (chronic HBV, 15 patients; past HBV, 158; HCV, 49; HIV, 30). Twenty percent (3/15) of chronic HBV and 11% (17/158) of past HBV patients were co-infected with HCV and/or HIV. Rates of antiviral therapy use by 6months were as follows: chronic HBV, 85% (11/13); past HBV receiving anti-B cell therapy, 60% (3/5); past HBV receiving systemic anticancer therapy without anti-B cell therapy, 8% (8/105); HCV, 6% (2/35); and HIV, 90% (19/21). Among patients with available data, anticancer treatment dose was reduced in 1 of 145 patients with past HBV and 1 of 42 with HCV. HBV reactivation occurred in 1 of 15 patients with chronic HBV; this patient was not receiving antiviral therapy.ConclusionMany patients with cancer and viral infections either do not receive guideline-recommended antiviral treatment or receive antiviral treatment that is not recommended in guidelines. Further education is needed to improve adherence to guidelines.

PURPOSE The COVID-19 pandemic–related disruptions in health care delivery might have affected end-of-life care in patients with cancer. We examined changes in place of death and hospice support for Medicaid and commercially insured patients during the pandemic. PATIENTS AND METHODS We linked Washington State cancer registry records with claims from Medicaid and two commercial insurers for patients with solid tumor age 18-64 years. The study included 322 Medicaid and 162 commercial patients who died between March 2017 and June 2019 (pre–COVID-19), along with 90 Medicaid and 47 commercial patients who died between March and June 2020 (COVID-19). Place of death was categorized as hospital, hospice (home or nonhospital facility), and home without hospice. Place of death was compared using adjusted multinomial logistic regressions stratified by payer and time period (pre–COVID-19 v COVID-19). The clinical and sociodemographic factors associated with dying at home without hospice were examined, and adjusted marginal effects (ME) are reported. RESULTS In the adjusted pre–COVID-19 analysis, Medicaid patients were more likely than commercially insured patients to die in hospital (48% v 36%; adjusted ME, 11%; P = .02). In the pre–COVID-19/COVID-19 analysis, Medicaid patients' place of death shifted from hospital (48% v 32%; ME, −16%; P < .01) to home without hospice (19.9% v 38.0%; ME, 16.5%; P < .01). However, there were no statistically significant changes pre–COVID-19/COVID-19 for commercial patients. As a result, during COVID-19, Medicaid patients were more likely than commercial patients to die at home without hospice (38% v 22%; ME, 16%; P = .04) as were male versus female patients (ME, 16%; P < .01). CONCLUSION The pandemic might have disproportionately worsened the end-of-life experience for Medicaid enrollees with cancer. Attention should be paid to societal and health system factors that decrease access to care for Medicaid patients.

Aim: Stakeholder engagement is central to comparative effectiveness research yet there are gaps in definitions of success. We used a framework developed by Lavallee et al. defining effective engagement criteria to evaluate stakeholder engagement during a pragmatic cluster-randomized trial. Methods: Semi-structured interviews were developed from the framework and completed to learn about members' experiences. Interviews were analyzed in a deductive approach for themes related to the effective engagement criteria. Results: Thirteen members participated and described: respect for ideas, time to achieve consensus, access to information and continuous feedback as areas of effective engagement. The primary criticism was lack of diversity. Discussion: Feedback was positive, particularly among themes of respect, trust and competence, and led to development of a list of best practices for engagement. The framework was successful for evaluating engagement. Conclusion: Standardized frameworks allow studies to formally evaluate their stakeholder engagement approach and develop best practices for future research.

PURPOSE Primary prophylactic colony-stimulating factors (PP-CSFs) are prescribed to reduce febrile neutropenia (FN) but their benefit for intermediate FN risk regimens is uncertain. Within a pragmatic, randomized trial of a standing order entry (SOE) PP-CSF intervention, we conducted a substudy to evaluate the effectiveness of SOE for patients receiving intermediate-risk regimens. METHODS TrACER was a cluster randomized trial where practices were randomized to usual care or a guideline-based SOE intervention. In the primary study, sites were randomized 3:1 to SOE of automated PP-CSF orders for high FN risk regimens and alerts against PP-CSF use for low-risk regimens versus usual care. A secondary 1:1 randomization assigned 24 intervention sites to either SOE to prescribe or an alert to not prescribe PP-CSF for intermediate-risk regimens. Clinicians were allowed to over-ride the SOE. Patients with breast, colorectal, or non–small-cell lung cancer were enrolled. Mixed-effect logistic regression models were used to test differences between randomized sites. RESULTS Between January 2016 and April 2020, 846 eligible patients receiving intermediate-risk regimens were registered to either SOE to prescribe (12 sites: n = 542) or an alert to not prescribe PP-CSF (12 sites: n = 304). Rates of PP-CSF use were higher among sites randomized to SOE (37.1% v 9.9%, odds ratio, 5.91; 95% CI, 1.77 to 19.70; P = .0038). Rates of FN were low and identical between arms (3.7% v 3.7%). CONCLUSION Although implementation of a SOE intervention for PP-CSF significantly increased PP-CSF use among patients receiving first-line intermediate-risk regimens, FN rates were low and did not differ between arms. Although this guideline-informed SOE influenced prescribing, the results suggest that neither SOE nor PP-CSF provides sufficient benefit to justify their use for all patients receiving first-line intermediate-risk regimens.

Introduction We assessed the proportion of patients with advanced epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) positive non–small-cell lung cancer (NSCLC) who receive tyrosine kinase inhibitors (TKIs) in the real-world, predictors of TKI use, and impact of TKI therapy on overall survival (OS). Materials and Methods We identified patients diagnosed with stage IV EGFR+ and ALK+ positive NSCLC from January 1, 2010 to December 31, 2018, in the Cancer Surveillance System registry and linked their records to Medicare and commercial insurance claims. We reported the proportions of patients with 1 or more TKI claims versus no TKI claims and used logistic regression to identify predictors of TKI use. We evaluated the effect of TKI use on OS by applying extended Cox proportional hazard models with TKI use as a time-dependent exposure and landmark analysis in a subcohort (N = 105). We adjusted Cox models for confounding patient characteristics. Results Of 117 eligible patients (median age = 69; 62% women; 88% EGFR+), 21 (17.9%) had no TKI claims. Diagnosis in 2015 to 2018 was independently associated with lower likelihood of TKI therapy compared with 2010 to 2014 (adjusted odds ratio, 0.29; P = .020). TKI use was associated with longer OS in a multivariate extended Cox model and in the landmark analysis (adjusted hazard ratio [HR], 0.58; 95% confidence interval [CI], 0.33; 0.99; P = .048; adjusted HR, 0.55; 95% CI, 0.30; 1.00; P = .050). Conclusion Approximately 18% of patients with advanced EGFR+ and ALK+ positive NSCLC do not receive TKIs and have inferior survival. Further studies need to investigate barriers of access to TKIs in biomarker-selected patients.

Novel interventions for sickle cell disease (SCD) bring hope to patients, yet concern about the associated economic costs exists. Cost-effectiveness analysis (CEA) uses standardized methods, with robust underpinnings in health economics, to estimate the value of these interventions compared with usual care. However, because of the complexity and lifetime trajectory of SCD, CEAs are challenging to conduct. The objectives of this rapid review were to summarize the main characteristics, components, and results of published CEAs of existing interventions for SCD, identify research gaps, and provide directions for future analyses. We identified records through searches of bibliographic databases, from reference lists of relevant review articles, and through consultation with experts. A total of 13 CEAs met our inclusion criteria and were qualitatively synthesized. These evaluated blood transfusions (n = 2), hematopoietic stem cell transplantation (n = 1), pharmaceuticals (n = 2), hypothetical cell or genetic therapy (n = 1), screening programs (n = 4), and interventions for SCD treatment complications (n = 3). A limited number of potential SCD and treatment complications were evaluated. No study adopted a societal perspective in the base case, six studies examined lifetime cost-effectiveness, seven studies employed a Markov or discrete-event simulation model, and eight studies used an outcome metric that captured both quality and length of life. To better compare the value of emerging and current therapies, future CEAs should adopt a societal perspective incorporating both medical and nonmedical costs, comprehensively model SCD complexity using robust health economic simulation models over the patient’s entire lifespan, and capture the intervention’s effect on both survival and quality of life.

PURPOSE: The costs associated with clinical trial enrollment remain uncertain. We hypothesized that trial participation is associated with decreased total direct medical costs to health care payers in metastatic non–small-cell lung cancer. METHODS: In this retrospective cohort study, we linked clinical data from electronic medical records to sociodemographic data from a cancer registry and claims data from Medicare and two private insurance plans. We used a difference-in-difference analysis to estimate mean per patient per month total direct medical costs for patients enrolled on a second-line (2L) trial versus patients receiving standard-of-care 2L systemic therapy. RESULTS: Among 70 eligible patients, the difference-in-difference of mean per patient per month total direct medical costs between 2L trial participants and nonparticipants was –$6,663 ( P = .01), for a mean savings of $45,308 per patient for the duration of 2L trial therapy. In a secondary analysis by primary insurance payer, this difference-in-difference was –$5,526 ( P = .26) for patients with commercial insurance and –$7,432 ( P = .01) for patients with Medicare. CONCLUSION: Participation in a 2L trial was associated with a $6,663 per month cost savings to health care payers for the duration of trial participation. Further studies are necessary to elucidate differences in cost savings from trial participation for Medicare and commercial payers. If confirmed, these results support health care payer investment in programs to improve clinical trial access and enrollment.

Multi-cancer early detection (MCED) testing could increase detection of cancer at early stages, when survival outcomes are better and treatment costs are lower, but is expected to increase screening costs. This study modeled an MCED test for 19 solid cancers in a US population and estimated the potential value-based price (the maximum price to meet a given willingness to pay) of the MCED test plus current single cancer screening (usual care) compared to usual care alone from a third-party payer perspective over a lifetime horizon.A hybrid cohort-level state-transition and decision-tree model was developed to estimate the clinical and economic outcomes of annual MCED testing between age 50 and 79 years. The impact on time and stage of diagnosis was computed using an interception modeling approach, with the consequences of cancer modeled based on stage at diagnosis. The model parameters were mainly sourced from the literature, including a published case-control study to inform MCED test performance. All costs were inflated to 2021 US dollars.Multi-cancer early detection testing shifted cancer diagnoses to earlier stages, with a 53% reduction in stage IV cancer diagnoses, resulting in longer overall survival compared with usual care. Addition of MCED decreased per cancer treatment costs by $5421 and resulted in a gain of 0.13 and 0.38 quality-adjusted life-years across all individuals in the screening program and those diagnosed with cancer, respectively. At a willingness-to-pay threshold of $100,000 per quality-adjusted life-year gained, the potential value-based price of an MCED test was estimated at $1196. The projected survival of individuals diagnosed with cancer and the number of cancers detected at an earlier stage by MCED had the greatest impact on outcomes.An MCED test with high specificity would potentially improve long-term health outcomes and reduce cancer treatment costs, resulting in a value-based price of $1196 at a $100,000/quality-adjusted life-year willingness-to-pay threshold.

Nuclear science and engineering is a field increasingly dominated by computational studies resulting from increasingly powerful computational tools. As a result, analytical studies, which previously pioneered nuclear engineering, are increasingly viewed as secondary or unnecessary. However, analytical solutions to reduced-fidelity models can provide important information concerning the underlying physics of a problem and aid in guiding computational studies. Similarly, there is increased interest in sensitivity analysis studies. These studies commonly use computational tools. However, providing a complementary sensitivity study of relevant analytical models can lead to a deeper analysis of a problem. This work provides the analytical sensitivity analysis of the one-dimensional (1D) cylindrical mono-energetic neutron diffusion equation using the forward sensitivity analysis procedure (FSAP) developed by Cacuci. Further, these results are applied to a reduced-fidelity model of a spent nuclear fuel cask, demonstrating how computational analysis might be improved with a complementary analytic sensitivity analysis.

PURPOSE Patients with cancer living in socioeconomically disadvantaged areas have worse cancer outcomes. The association between socioeconomic deprivation and outcomes among patients with cancer participating in clinical trials has not been systematically examined. METHODS We examined survival outcomes for patients enrolled in phase III and large phase II clinical trials for major cancers conducted by the SWOG Cancer Research Network from 1985 to 2012. Socioeconomic deprivation was measured using trial participants' residential zip codes linked to the Area Deprivation Index (ADI). Five-year overall survival, progression-free survival, and cancer-specific survival were examined using Cox regression frailty models, adjusting for age, sex, and race, and separately for insurance status, prognostic risk, and rural or urban residency. RESULTS We examined 41,109 patients from 55 trials comprising 24 cancer histology and stage-specific cohorts. Compared with trial participants in the most affluent areas (ADI, 0%-20%), trial participants from areas with the highest socioeconomic deprivation (ADI, 80%-100%) had worse overall (hazard ratio [HR] = 1.28, 95% CI, 1.20 to 1.37, P < .001), progression-free (HR = 1.20, 95% CI, 1.13 to 1.28, P < .001), and cancer-specific survival (HR = 1.27, 95% CI, 1.18 to 1.37, P < .001). The results were similar after adjusting for insurance status, prognostic risk, and rural or urban residency. There was a continuous increase in risk of all outcomes as the ADI quintile increased. CONCLUSION In patients with cancer with access to protocol-directed care in clinical trials, high area-level socioeconomic deprivation was associated with worse survival. Future research should examine whether the etiology of this residual disparity is related to reduced access to supportive care or postprotocol therapy and/or to differences in health status not reflected by protocol selection criteria.

Background Polypharmacy raises the risk of drug-drug interactions and adverse events among patients with cancer. Most polypharmacy research has focused on adults age 65 or older enrolled in Medicare insurance. To better inform pharmacy practice and cancer care delivery, data are needed on polypharmacy among commercially insured patients with cancer and those younger than 65. Methods We performed a retrospective analysis of insurance enrollment and claims files linked to the Puget Sound Cancer Surveillance System for adults age 18 and older who were commercially insured, diagnosed with stage IV cancer, survived 30+ days after diagnosis, and did not enroll in hospice. We describe the prevalence of polypharmacy, chemotherapy use, and medication-related out-of-pocket (OOP) costs in the last month of life. Results Of 606 patients, 390 (64%) experienced polypharmacy (i.e. 5+ medications) in the last 30 days of life. Almost half (n = 297, 49%) received chemotherapy or targeted agents; chemotherapy was associated with significantly higher odds of polypharmacy (odds ratio (OR) 2.93, 95% confidence interval (CI) 2.04–4.20). The most commonly prescribed medications at end of life were opioids, benzodiazepines and anti-emetics. Among 484 patients (80%) incurring medication-related costs in the last month of life, median total OOP cost was $82 (interquartile range $30–$200). Seven patients (1%) had total costs above $5,000. The median chemotherapy-related OOP cost was $446 (IQR $150–$1896); 32 patients (7%) had chemotherapy-related OOP costs between $1,000 and $5,000. Conclusion Most patients with advanced cancer experienced polypharmacy at end of life, although most medications observed herein are commonly used for supportive care. Patients receiving chemotherapy had higher medication-related OOP costs, and chemotherapy was significantly associated with polypharmacy at end of life. Evaluation of polypharmacy at end of life may represent an important opportunity to improve quality of life and reduce costs for patients and families.

PURPOSE: We investigated the association of out-of-pocket (OOP) costs for tyrosine kinase inhibitors (TKIs) with overall survival (OS) in epidermal growth factor receptor ( EGFR)- and anaplastic lymphoma kinase ( ALK)-positive advanced non–small-cell lung cancer (NSCLC). We secondarily investigated associations of TKI OOP costs with TKI adherence, duration of therapy (DOT), and TKI discontinuation. METHODS: We used the Hutchinson Institute for Cancer Outcomes Research registry-claims database to identify patients with stage IV EGFR- or ALK-positive NSCLC; ≥ 1 claims for EGFR or ALK TKIs; and ≥ 3-month survival from TKI initiation. We estimated the average monthly TKI OOP costs per patient up to 3 months from TKI initiation, categorizing patients into quartiles of TKI OOP costs (Q1 < Q2 < Q3 < Q4). We conducted landmark analysis at 3 months from TKI initiation to compare Q1-3 v Q4 TKI OOP costs with respect to OS, TKI DOT, TKI adherence, and TKI discontinuation. RESULTS: Seventy-eight and twenty-seven patients comprised the Q1-3 and Q4 groups, respectively. Median monthly TKI OOP costs were $1,431 (Q1-3) v $2,888 (Q4). Compared with Q1-3, Q4 patients had inferior OS (adjusted hazard ratio [HR], 1.85; [95% CI, 1.11 to 3.10], similar TKI DOT (adjusted HR, 1.06; 95% CI, 0.53 to 2.15), decreased TKI adherence (adjusted odds ratio [OR], 0.28; 95% CI, 0.10 to 0.76), and higher TKI discontinuation rate (adjusted OR, 8.75; 95% CI, 2.59 to 29.52). CONCLUSION: Among patients with advanced EGFR- and ALK-positive NSCLC, higher TKI OOP costs are associated with decreased TKI adherence, a higher likelihood of TKI discontinuation, and inferior survival.

DiviTum TKa, a blood-based biomarker assay developed to monitor and predict treatment response in hormone receptor positive metastatic breast cancer (HR + mBC), may decrease traditional disease monitoring assessments and avoid prolongation of futile treatments.To estimate the diagnostic and treatment budget impact of the assay on a postmenopausal HR + HER2- mBC population in a one-million-member U.S. health plan.We developed a budget impact model comparing inclusion and exclusion of DiviTum TKa to standard care under which DiviTum TKa (1) reduces the frequency of traditional mBC monitoring tools, and (2) predicts treatment futility in advance of radiological disease progression. Traditional disease monitoring assessment schedules were based on guidelines and expert opinions. DiviTum TKa's impact on therapy utilization was based on published literature and expert opinion. Modeled costs included DiviTum TKa, NCCN-recommended treatments, imaging, biomarker testing, and adverse events. We calculated total and per-member per-month (PMPM) costs with a 3-year time horizon.The inclusion of 416 DiviTum TKa assays ($166,400) was largely offset by 193 fewer CT scans, 88 fewer bone scans, and 55 fewer biomarker tests over 3 years, a savings of -$128,400, resulting in a PMPM of $0.001. In scenario analyses, adding DiviTum TKa resulted in additional treatment-related cost-savings (-$465,600), resulting in a PMPM cost-savings of -$0.013, or an average savings of -$7,400 per each patient initiating first-line cyclin-dependent kinase 4/6 inhibitor plus aromatase inhibitor therapy. Expected savings approached 3× the spend on the new test. Results were most sensitive to DiviTum TKa cost, population parameters, and treatment costs.Clinical use of the DiviTum TKa assay is expected to decrease traditional imaging and monitoring and may reduce the overall cost of managing mBC if it leads to clinical decisions to avoid futile therapy. Post-coverage, real-world monitoring of palliative therapies among post-menopausal mBC populations is needed to better categorize cost savings over time.PLAIN LANGUAGE SUMMARYWhat is already known about this subject Current monitoring of therapy for hormone receptor positive metastatic breast cancer involves a combination of tumor marker testing, imaging, and other tools. Monitoring is variable in practice, and therefore relatively insensitive to evidence of tumor progression.What this study adds DiviTum TKa is a novel biomarker that may offer a more convenient and sensitive alternative to traditional monitoring of metastatic breast cancer. Factoring in cost offsets due to reduced monitoring and earlier discontinuation of futile therapies may be cost-saving to health plans that cover this technology.

PURPOSE: Aggressive care at the end of life (EOL) can lead to unnecessary suffering and health care costs for patients with cancer. Despite geographic proximity and cultural similarities, we hypothesize that EOL care is more intense in the United States multipayer system versus the Canadian single-payer system. We compared health care utilization at EOL among patients with cancer in Alberta, Canada, with those in Washington state in the United States. METHODS: Adult patients with American Joint Committee on Cancer stage II to IV solid tumors who died between 2014 and 2016 in Alberta and between 2015 and 2017 in Washington were identified from regional population-based cancer registries linked to treatment and hospitalization records (Alberta) and health claims from major regional insurance plans (Washington). The proportion of patients receiving chemotherapy and having multiple emergency department (ED) visits, or intensive care unit (ICU) admissions in the last 30, 60, and 90 days of life (DOL) in Alberta and Washington were determined and compared using two-sample z-test and multivariable logistic regression (α = .006 after Bonferroni correction). RESULTS: Of patients, 11,177 in Alberta and 12,807 in Washington were included. Patients were similar in age (median, 71 v 72 year), with more patients in Washington with no comorbidities. More patients in Washington were treated with chemotherapy (12.6% v 6.6%; adjusted OR [aOR], 2.74), had multiple ED visits (16.2% v 12.1%; aOR, 1.40), and ICU admissions (23.7% v 3.9%; aOR, 14.27) in the last 30 DOL. Utilization was also higher in Washington in the last 60 and 90 DOL and among those with stage IV disease and those age 65 years and older. CONCLUSION: Utilization of chemotherapy, ED visits, and ICU admissions near EOL was higher in Washington versus Alberta. Future studies to characterize drivers of aggressive EOL care may help improve cancer care for patients in the United States and Canada.

Objectives When populations contain mixtures of cured and uncured patients, the use of traditional parametric approaches to estimate overall survival (OS) can be biased. Mixture cure models may reduce bias compared with traditional parametric models, but their accuracy is subject to certain conditions. Importantly, mixture cure models assume that that there is enough follow-up to identify individuals censored at the end of the follow-up period as cured. The purpose of this article is to describe biases that can occur when mixture cure models are used to estimate mean survival from data with limited follow-up. Methods We analyzed 6 trials conducted by the SWOG Cancer Research Network Leukemia Committee. For each trial, we analyzed 2 data sets: the data released to the committee when the results of the trial were unblinded and a second data set with additional follow-up. We estimated mean OS using parametric survival models with and without a cure fraction. Results When using mixture cure models, in 4 trials, estimates of mean OS were higher with the first analysis (with limited follow-up) compared with estimates from data with longer follow-up. In 1 trial, the reverse pattern was observed. In 1 trial, the cure estimate changed little with additional follow-up. Conclusions Caution should be taken when using mixture cure models in scenarios with limited follow-up. The biases resulting from fitting these models may be exacerbated when the models are being used to extrapolate OS and estimate mean OS.

Background: Pathologic complete response (pCR) is a common efficacy endpoint in neoadjuvant therapy trials for triple-negative breast cancer (TNBC). Previous studies have shown that pCR is strongly associated with improved long-term survival outcomes, including event-free survival (EFS) and overall survival (OS). However, the trial-level associations between treatment effect on pCR and long-term survival outcomes are not well established. This study sought to evaluate these associations by incorporating more recent clinical trials in TNBC. Methods: A literature review identified published randomized controlled trials (RCTs) of neoadjuvant therapy for TNBC that reported results for both pCR and EFS/OS. Meta-regression models were performed to evaluate the association of treatment effect on pCR and EFS/OS. Sensitivity analyses were conducted to assess the impact of divergent study designs. Results: Ten comparisons from 8 RCTs (N=2,478 patients) were identified from the literature review. The log (odds ratio) of pCR was a significant predictor of the log (hazard ratio) of EFS (P=.003), with a coefficient of determination of 0.68 (95% CI, 0.41–0.95). There was a weaker association between pCR and OS (P=.18), with a coefficient of determination of 0.24 (95% CI, 0.01–0.77). Consistent results were found in the exploratory analysis and sensitivity analyses. Conclusions: This is the first study that has shown a trial-level association between pCR and survival outcomes in TNBC. By incorporating the most up-to-date RCTs, this study showed a significant trial-level association between pCR and EFS. A positive association between pCR and OS was also recorded.

In the United States the increasing number of Food and Drug Administration (FDA)-approved, innovative, and potentially effective commercial cancer therapies pose a significant financial burden on public and private payers. Chimeric antigen receptor (CAR) T cells are prototypical of this challenge. In 2017 and 2018, tisagenlecleucel (Kymriah, Novartis) and axicabtagene ciloleucel (Yescarta, Kite) were approved by the FDA for use after showing groundbreaking results in relapsed/refractory B-cell malignancies. In 2020 and 2021, four further submissions to the FDA are expected for CAR T-cell therapies for indolent and aggressive B-cell malignancies and plasma cell myeloma. Yet, with marketed prices of over $350,000 per infusion for the two FDA-approved therapies and similar price tags expected for the coming products, serious concerns are raised over value and affordability. In this review we summarize recent, peer-reviewed cost-effectiveness studies of tisagenlecleucel and axicabtagene ciloleucel in the United States; discuss key issues concerning the health plan budget impact of CAR T-cell therapy; and review policy, payment and scientific approaches that may improve the value and affordability of CAR T-cell therapy.