Accuracy of Cancer Registry Primary Payer Information and Implications for Policy Research.

BACKGROUND: Cancer registry-based "primary payer at diagnosis" (PPDx) data are commonly used to evaluate the effect of insurance on cancer care outcomes, yet little is known about how well they capture Medicaid or Medicare enrollment. METHODS: We linked the National Cancer Institute's Surveillance, Epidemiology, and End Results registry data to monthly Centers for Medicare and Medicaid Services (CMS) Medicaid and Medicare enrollment records, state-year Medicaid policy, and managed care enrollment. We selected adults aged 19-64 years diagnosed between 2007 and 2011. We used bivariate analyses to compare PPDx to CMS enrollment at diagnosis month and assessed underreporting rates by patient characteristics and state-year policy. RESULTS: PPDx reported 7.8% Medicare and 10.1% Medicaid, whereas CMS enrollment indicated 5.5% Medicare, 10.4% Medicaid, and 3.4% dual Medicare-Medicaid (N = 896,031). Positive predictive values for PPDx assignment to Medicaid and Medicare were 65.3% and 75.4%, with false negative rates of 52.0% and 33.8%, respectively. Medicaid underreporting was higher in low (56.5%) versus high (50.8%) poverty areas, for males (56.1%) versus females (48.9%), for Medicaid poverty expansion or waiver enrolled (63.8%) versus cash assistance-related eligibility (47.3%), and in states with large managed care enrollment (all P < 0.001). If Medicaid and Medicare enrollment data were used to edit PPDx, 12.0% of persons would switch primary payer assignment. CONCLUSIONS: Registry-reported PPDx fails to fully capture Medicaid and Medicare enrollment, which may result in biased estimates of insurance-related policy impacts. Enhancement with objective enrollment data could reduce measurement error and bias in estimates necessary to support policy assessment.

Cost-effectiveness of first-line vs third-line ibrutinib in patients with untreated chronic lymphocytic leukemia.

The ALLIANCE A041202 trial found that continuously administered ibrutinib in the first-line setting significantly prolonged progression-free survival compared with a fixed-duration treatment of rituximab and bendamustine in older adults with chronic lymphocytic leukemia (CLL). In this study, we created a Markov model to assess the cost-effectiveness of ibrutinib in the first-line setting, compared with a strategy of using ibrutinib in the third-line after failure of time-limited bendamustine and venetoclax-based regimens. We estimated transition probabilities from randomized trials using parametric survival modeling. Lifetime direct health care costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) were calculated from a US payer perspective. First-line ibrutinib was associated with an improvement of 0.26 QALYs and 0.40 life-years compared with using ibrutinib in the third-line setting. However, using ibrutinib in the first-line led to significantly higher health care costs (incremental cost of $612 700), resulting in an ICER of $2 350 041 per QALY. The monthly cost of ibrutinib would need to be decreased by 72% for first-line ibrutinib therapy to be cost-effective at a willingness-to-pay threshold of $150 000 per QALY. In a scenario analysis where ibrutinib was used in the second-line in the delayed ibrutinib arm, first-line ibrutinib had an incremental cost of $478 823, an incremental effectiveness of 0.05 QALYs, and an ICER of $9 810 360 per QALY when compared with second-line use. These data suggest that first-line ibrutinib for unselected older adults with CLL is unlikely to be cost-effective under current pricing. Delaying ibrutinib for most patients with CLL until later lines of therapy may be a reasonable strategy to limit health care costs without compromising clinical outcomes.

Telehealth Availability and Use of Related Technologies Among Medicare-Enrolled Cancer Survivors: Cross-sectional Findings From the Onset of the COVID-19 Pandemic.

BACKGROUND: There has been rapid integration of telehealth into care delivery during the COVID-19 pandemic. However, little is known about technology ownership, internet access and use for communication, and telehealth availability among cancer survivors, particularly those enrolled in Medicare. OBJECTIVE: This study aims to identify sociodemographic associations with technology ownership, internet access and use for communication, and telehealth availability in a population-based sample of Medicare-enrolled cancer survivors. METHODS: Data are from the Medicare Current Beneficiary Survey COVID-19 Summer 2020 Supplement administered between June 10 and July 15, 2020. Analyses were restricted to beneficiaries who reported a prior (nonskin) cancer diagnosis and a usual source of care (N=2044). Dichotomous outcomes included technology ownership, internet access, internet use for communication, and telehealth availability from providers. Sociodemographic correlates included sex, age, race/ethnicity, Medicare/Medicaid dual enrollment, rurality, census region, and self-reported comorbidities. RESULTS: Over half (957/2044, 53%) of cancer survivors reported using the internet for communication purposes, and 62% (1218/2044) reported that their usual provider had telehealth services available. Using the internet for communication purposes was reported less frequently for rural compared to urban survivors (adjusted probability of 28% vs 46%; P<.001) and for Hispanic and Black survivors compared to non-Hispanic White survivors (29%, 31%, and 44%, respectively; all P<.01). Rural survivors reported lower telehealth availability (53% vs 63%; P<.001); no significant differences in telehealth availability were identified by race/ethnicity. CONCLUSIONS: During the COVID-19 pandemic, study findings highlight a complex digital divide among Medicare beneficiaries with a history of cancer related to device ownership necessary for telehealth, internet access and use for communication, and reports of providers having telehealth available. Multilevel approaches are needed to increase equitable telehealth availability and use for cancer survivors. Suggested strategies include increasing broadband internet access to providers and patients in at-risk communities, supporting telehealth implementation among providers that serve populations with known health disparities, raising awareness of providers' available telehealth services among patients, and screening for technology use and provision of telehealth-related technical assistance among older and historically underserved cancer survivors.

A framework for cancer health economics research.

LAY SUMMARY: Cancer has substantial economic impacts for patients, their families and/or caregivers, employers, and the health care system. However, there is only limited understanding of how economic issues can affect access to cancer care services and the receipt of high-quality cancer care. Health economics research in cancer is particularly timely due to the large and increasing number of patients with cancer and cancer survivors, but there are many factors that may create barriers to performing cancer health economics research. This commentary has identified important topics and questions in cancer health economics research and will assist in the development of this critical field.

Patterns of medication use at end of life by pediatric inpatients with cancer.

OBJECTIVE: To describe medication utilization patterns by pediatric inpatients with cancer during their last week of life. METHODS: This retrospective study used data from the Vizient Clinical Database/Resource Manager, a national compilation of clinical and resource use data from over 100 academic medical centers and affiliates. Patients (0-21 years) with malignancy who died during hospitalization (2010-2017) were included (N = 1659). Medications were categorized as opioid, benzodiazepine, gastrointestinal related, chemotherapy, anti-infectives, or vasopressors. Exposure to each group was ascertained for all patients at 1 week and 1 day prior to death. Factors associated with exposure were examined using generalized estimating equations, and summarized using adjusted odds ratios (aORs). RESULTS: Over the last week of life, there was increased use of opioids (76% to 82%, aOR = 1.55, P < .001) and benzodiazepines (53% to 66%, aOR = 1.36, P = .02), while gastrointestinal-related medication use decreased (92% to 89%, aOR = 0.69, P = .001). Patients had decreased exposure to chemotherapy (10% to 5%, aOR = 0.46, P < .001) and anti-infectives (82% to 73%, aOR = 0.41, P = .002). Vasopressor use increased as death approached (15% to 28%, aOR = 1.67, P = .04). Factors significantly associated with exposure varied with medication category, and included age, race, length of stay, malignancy type, death in the intensive care unit, history of hematopoietic stem cell transplant, and do-not-resuscitate status. CONCLUSION: During the week preceding death, administration of symptom management medications increased for children with cancer, but use was not universal. Potentially life-sustaining medications were often continued. Variability in utilization suggests differences in provider/family decision making that warrant further study to develop an evidence-based approach to end-of-life care.

Development and evaluation of a proxy for baseline ECOG PS in advanced non-small cell lung cancer, bladder cancer, and melanoma: An electronic health record study.

PURPOSE: Eastern Cooperative Oncology Group performance status (ECOG PS) is an important predictor for receipt of treatment and overall survival (OS) but is often unreported in routine care. We developed a proxy for baseline ECOG PS using electronic health records (EHRs). METHODS: We analyzed patients who were diagnosed with advanced non-small cell lung cancer (aNSCLC), advanced bladder cancer (aBCa), and advanced melanoma (aMEL) between 2011 and 2018 and had a baseline (reported between diagnosis and treatment) ECOG PS in a real-world database. We used stepwise multivariable logistic regression to model associations between baseline ECOG PS good (<2) versus poor (≥2) and sociodemographic, clinical, and laboratory measures in each cancer type. Predictive accuracy of classifying ECOG PS was assessed. We tested the association between OS and observed and predicted ECOG PS. RESULTS: In total, 20 697 aNSCLC patients, 2627 aBCa patients, and 2558 aMEL patients constituted the study population. Percentage of patients with poor ECOG PS ranged from 15.3% (aMEL) to 28.5% (aNSCLC). Poor ECOG PS was associated with more comorbid conditions, older age, lower body mass index, metastases, and abnormal laboratory indicators. Overall prediction accuracy using a 0.50 cutpoint was 73.3% for NSCLC, 73.8% for aBCa, and 85.4% for aMEL. The association of OS with ECOG PS was consistent between the observed and proxy measures. CONCLUSIONS: In the EHR-derived data, clinical, sociodemographic, and laboratory information were used to assign ECOG PS and enhance the use of real-world data in outcome studies.

End-of-life patterns of symptom management and cancer-directed care among Medicare beneficiaries with lung cancer: a claims-based analysis.

BACKGROUND: Rather than early hospice enrollment, most Medicare beneficiaries receive "usual care" in the last months of life, outside of the hospice setting. While care intensity during the last weeks of life has been studied extensively, patterns of symptom management services (SMS) and/or cancer-directed therapies (CDT) received over a 6-month end-of-life period have not. METHODS: This retrospective study used the Surveillance, Epidemiology, and End Results (SEER)-Medicare database to identify decedents diagnosed with lung cancer at age ≥ 66 years between January 2007 and December 2013 who survived ≥ 6 months from diagnosis. Medicare claims identified receipt of SMS and/or CDT. We created monthly indicators for care content (SMS-only, CDT-only, or both; otherwise full-month hospice or inpatient/skilled nursing). Multinomial logistic regression estimated associations between sociodemographics and comorbidity, with care content in the final month. RESULTS: Between 6 and 1 months before death, full-month hospice and inpatient/skilled nursing increased; CDT decreased from 31.9 to 18.5%; SMS increased from 86.6 to 97.7%. Relative to full-month hospice, the percentage of patients receiving SMS-only was higher for males, unmarried, younger age, and higher comorbidity; the percentage receiving CDT was also higher for males, unmarried, and younger age, but decreased with increasing comorbidity and over calendar time. CONCLUSION: Among lung cancer decedents observed in the outpatient, nonhospice setting, SMS receipt increased and was nearly universal as death approached. CDT diminished dramatically over the end-of-life period. Associations between sociodemographic characteristics and care setting suggest differences in care preferences or access barriers. Claims represent an important resource for characterizing end-of-life care patterns.

Patterns of pain medication use associated with reported pain interference in older adults with and without cancer.

CONTEXT: Concerns about the adequacy of pain management among older adults are increasing, particularly with restrictions on opioid prescribing. OBJECTIVES: To examine associations between prescription pain medication receipt and patient-reported pain interference in older adults with and without cancer. METHODS: Using the 2007-2012 Surveillance Epidemiology and End Results (SEER)-Medicare Health Outcomes Survey (MHOS) database linked to Medicare Part D prescription claims, we selected MHOS respondents (N = 15,624) aged ≥ 66 years, ≤ 5 years of a cancer diagnosis (N = 9105), or without cancer (N = 6519). We measured receipt of opioids, non-steroidal anti-inflammatory drugs, and antiepileptics, and selected antidepressants within 30 days prior to survey. Patient-reported activity limitation due to pain (pain interference) within the past 30 days was summarized as severe, moderate, or mild/none. Logistic regression using predictive margins estimated associations between pain interference, cancer history, and pain medication receipt, adjusting for socio-demographics, chronic conditions, and Part D low-income subsidy. RESULTS: Severe or moderate pain interference was reported by 21.3% and 46.1%, respectively. Pain medication was received by 21.5%, with 11.6% receiving opioids. Among adults reporting severe pain interference, opioid prescriptions were filled by 27.0% versus 23.8% (p = 0.040) with and without cancer, respectively. Over half (56%) of adults reporting severe pain in both groups failed to receive any prescription pain medication. CONCLUSIONS: Older adults with cancer were more likely to receive prescription pain medications compared with adults without cancer; however, many older adults reporting severe pain interference did not receive medications. Improved assessment and management of pain among older adults with and without cancer is urgently needed.

Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population-level analysis.

BACKGROUND: The majority of patients with acute myeloid leukemia (AML) are aged >65 years at the time of diagnosis and are not actively treated. The objective of the current study was to determine the prevalence, temporal trends, and factors associated with no active treatment (NAT) among older patients with AML in the United States. METHODS: A retrospective analysis was performed of Surveillance, Epidemiology, and End Results (SEER)-Medicare data from 14,089 patients with AML residing in the United States who were diagnosed with AML at age ≥66 years during 2001 through 2013. NAT was defined as not receiving any chemotherapy, including hypomethylating agents. Multivariable logistic regression models were used to analyze sociodemographic, clinical, and provider characteristics associated with NAT. RESULTS: The percentage of patients with NAT decreased over time from 59.7% among patients diagnosed in 2001 to 42.8% among those diagnosed in 2013. The median overall survival for the entire cohort was 82 days from the time of diagnosis. Patients treated with NAT had worse survival compared with those receiving active treatment. Variables found to be associated with higher odds of NAT included older age, certain sociodemographic characteristics (household income within the lowest quartile, residence outside the Northeast region of the United States, and being unmarried), and clinical factors (≥3 comorbidities, the presence of mental disorders, recent hospitalization, and disability). CONCLUSIONS: Greater than one-half of older patients with AML residing in the United States do not receive any active leukemia-directed therapy despite the availability of lower intensity therapies such as hypomethylating agents. Lack of active therapy receipt is associated with inferior survival. Identifying predictors of NAT might improve the quality of care and survival in this patient population, especially as novel therapeutic options with lower toxicity are becoming available.

Underutilization of guideline-recommended supportive care among older adults with multiple myeloma in the United States.

BACKGROUND: With improving survival for patients with multiple myeloma (MM), supportive care that is focused on optimizing quality of life and minimizing treatment-related toxicities is increasingly important. The extent to which patients with MM are receiving recommended supportive care is unknown. METHODS: This study used the Surveillance, Epidemiology, and End Results-Medicare database to identify older adults (age ≥66 years) diagnosed with MM in 2008-2013 who had received active treatment and survived 1 year or longer after their diagnosis. Outcomes of interest included guideline-recommended supportive care, which was defined as 1) bone-modifying drugs (BMDs) within the 12 months after the diagnosis, 2) influenza vaccination in the first season after the diagnosis, and 3) concomitant use of prophylactic antivirals with proteasome inhibitors. Multivariable logistic regression models were used to evaluate associations between patient/facility-level characteristics and supportive care use. RESULTS: Among 1996 patients receiving MM-directed therapy, 64%, 52%, and 49% received BMDs, an influenza vaccination, and antiviral prophylaxis, respectively. Non-Hispanic black patients (odds ratio [OR] vs white patients, 0.63; 95% confidence interval [CI], 0.46-0.88) and patients with baseline renal impairment (OR, 0.43; 95% CI, 0.34-0.54) had lower odds of BMDs. Non-Hispanic blacks (OR, 0.52; 95% CI, 0.37-0.73) and those with dual Medicaid enrollment (OR, 0.76; 95% CI, 0.58-0.99) had lower odds of influenza vaccination. Treatment in a community-based setting was associated with reduced odds of antiviral prophylaxis (OR, 0.58; 95% CI, 0.46-0.72). CONCLUSIONS: Substantial underutilization of guideline-recommended supportive care was observed among older adults with MM in the United States, and this was associated with both patient and facility characteristics. Targeted interventions are needed to improve supportive care for patients with MM.

Medical financial hardship among cancer survivors in the United States.

BACKGROUND: The current study examined medical financial hardship in cancer survivors and those without a cancer history in the United States. METHODS: The 2013 to 2016 National Health Interview Survey was used to identify cancer survivors (stratified by ages 18-49 years [1424 survivors], ages 50-64 years [2916 survivors], and ages ≥65 years [6014 survivors]) and individuals without a cancer history (ages 18-64 years [66,951 individuals], ages 50-64 years [31,741 individuals], and ages ≥65 years [25,744 individuals]). Medical financial hardship was categorized into 3 domains: 1) material (eg, problems paying medical bills); 2) psychological (eg, worrying about paying medical bills); and 3) behavioral (eg, delaying/forgoing care due to cost). Generalized ordinal logistic regressions were used to examine the associations between cancer history, hardship, and health insurance deductibles/health savings accounts (among privately insured cancer survivors aged 18-64 years only). RESULTS: Compared with those without a cancer history, cancer survivors were more likely to report any material (ages 18-49 years: 43.4% vs 30.1%; ages 50-64 years: 32.8% vs 27.8%; and ages ≥65 years: 17.3% vs 14.7%), psychological (ages 18-49 years: 53.5% vs 47.1%), and behavioral (ages 18-49 years: 30.6% vs 21.8%; and ages 50-64 years: 27.2% vs 23.4%) measure of financial hardship, and multiple domains of hardship (age groups 18-49 years and 50-64 years; all P < .01). Among privately insured survivors, having a high-deductible health plan without a health savings account was found to be associated with greater hardship compared with having low-deductible insurance. CONCLUSIONS: Younger cancer survivors are particularly vulnerable to material, psychological, and behavioral medical financial hardship. Interventions designed to reduce financial hardship should consider multiple domains of hardship as well as insurance benefit design.

Physician Experience and Risk of Rituximab Discontinuation in Older Adults With Non-Hodgkin's Lymphoma.

BACKGROUND: Provider experience, or clinical volume, is associated with improved outcomes in many complex healthcare settings. Despite increased complexity of anticancer therapies, studies evaluating physician-level experience and cancer treatment outcomes are lacking. METHODS: A population-based study was conducted of older adults (aged ≥66 years) diagnosed with B-cell non-Hodgkin's lymphoma in 2004 through 2011 using SEER-Medicare data. Analysis focused on outcomes in patients receiving rituximab, the first approved monoclonal anticancer immunotherapy. We hypothesized that lower physician experience using rituximab and managing its infusion-related reactions would be associated with early treatment discontinuation. A 12-month look-back from each initiation of rituximab was used to categorize physician volume (0, 1-2, or ≥3 initiations per year). Modified Poisson regression was used to account for provider-level correlation and estimated relative risk (RR) of early rituximab discontinuation (<3 cycles within 180 days of rituximab initiation). Cox proportional hazards were used to measure the impact of rituximab discontinuation on survival. RESULTS: Among 15,110 patients who initiated rituximab with 2,684 physicians, 7.6% experienced early rituximab discontinuation. Approximately one-fourth of patients (26.1%) initiated rituximab with a physician who had no rituximab initiations during the preceding 12 months. Compared with patients treated by physicians who had ≥3 rituximab initiations in the prior year, those treated by physicians without initiations were 57% more likely to experience early discontinuation (adjusted RR [aRR], 1.57; 95% CI, 1.35-1.82; P<.001 for 0 vs ≥3, and aRR, 1.19; 95% CI, 1.03-1.37; P=.02 for 1-2 vs ≥3). Additionally, rituximab discontinuation was associated with higher risk of death (adjusted hazard ratio, 1.39; 95% CI, 1.28-1.52; P<.001). CONCLUSIONS: Lower oncologist experience with rituximab was associated with increased risk of early rituximab discontinuation in Medicare beneficiaries with non-Hodgkin's lymphoma. Physician-level volume may be an important factor in providing high-quality cancer care in the modern era.

Impact of Hydroxyurea on Survival and Risk of Thrombosis Among Older Patients With Essential Thrombocythemia.

ABSTRACTBackground: Current guidelines recommend hydroxyurea (HU) as frontline therapy for patients with high-risk essential thrombocythemia (ET) to prevent thrombosis. However, little is known about the impact of HU on thrombosis or survival among these patients in the real-world setting. PATIENTS AND METHODS: A retrospective cohort study was conducted of older adults (aged ≥66 years) diagnosed with ET from 2007 through 2013 using the linked SEER-Medicare database. Multivariable Cox proportional hazards regression models were used to assess the effect of HU on overall survival, and multivariable competing risk models were used to assess the effect of HU on the occurrence of thrombotic events. RESULTS: Of 1,010 patients, 745 (73.8%) received HU. Treatment with HU was associated with a significantly lower risk of death (hazard ratio [HR], 0.52; 95% CI, 0.43-0.64; P<.01). Every 10% increase in HU proportion of days covered was associated with a 12% decreased risk of death (HR, 0.88; 95% CI, 0.86-0.91; P<.01). Compared with nonusers, HU users also had a significantly lower risk of thrombotic events (HR, 0.51; 95% CI, 0.41-0.64; P<.01). CONCLUSIONS: Although underused in our study population, HU was associated with a reduced incidence of thrombotic events and improved overall survival in older patients with ET.

Cancer History, Health Insurance Coverage, and Cost-Related Medication Nonadherence and Medication Cost-Coping Strategies in the United States.

OBJECTIVES: To evaluate the relationship between cancer history and cost-related medication nonadherence (CRN) as well as cost-coping strategies, by health insurance coverage. METHODS: We used the 2013 to 2016 National Health Interview Survey to identify adults aged 18 to 64 years with (n = 3599) and without (n = 56 909) a cancer history. Cost-related changes in medication use included (1) CRN, measured as skipping, taking less, or delaying medication because of cost, and (2) cost-coping strategies, measured as requesting lower cost medication or using alternative therapies to save money. Separate multivariable logistic regressions were used to calculate the adjusted odds ratios (AORs) of CRN and cost-coping strategies associated with cancer history, stratified by insurance. RESULTS: Cancer survivors were more likely than adults without a cancer history to report CRN (AOR 1.26; 95% confidence interval [CI] 1.10-1.43) and cost-coping strategies (AOR 1.10; 95% CI 0.99-1.19). Among the privately insured, the difference in CRN by cancer history was the greatest among those enrolled in high-deductible health plans (HDHPs) without health savings accounts (HSAs) (AOR 1.78; 95% CI 1.30-2.44). Among adults with HDHP and HSA, cancer survivors were less likely to report cost-coping strategies (AOR 0.62; 95% CI 0.42-0.90). Regardless of cancer history, CRN and cost-coping strategies were the highest for those uninsured, enrolled in HDHP without HSA, and without prescription drug coverage under their health plan (all P<.001). CONCLUSIONS: Cancer survivors are prone to CRN and more likely to use cost-coping strategies. Expanding options for health insurance coverage, use of HSAs for those with HDHP, and enhanced prescription drug coverage may effectively address CRN.

Oncologist volume and outcomes in older adults diagnosed with diffuse large B cell lymphoma.

BACKGROUND: Although provider-level volume is frequently associated with outcomes in cancers requiring complex surgeries, whether similar relations exist for cancers treated primarily with systemic therapy is unknown. METHODS: Using a population-based cohort analysis of older adults diagnosed with diffuse large B cell lymphoma (DLBCL) during the years 2004-2011, we evaluated the association between oncologist volume and 4 clinical outcomes (receipt of any chemotherapy, receipt of an anthracycline-containing or equivalent regimen, early hospitalization, and overall survival). Our primary explanatory variable was lymphoma treatment volume, defined as the number of patients with newly diagnosed lymphoma for which an oncologist initiated therapy during a 12-month look-back period from each incident DLBCL case. RESULTS: We identified 8247 Medicare beneficiaries who were newly diagnosed with DLBCL. Chemotherapy was administered to 6202 (75.2%) beneficiaries, and 71.4% of cytotoxic regimens contained an anthracycline. Beneficiaries who were treated by higher-volume oncologists had increased odds of receiving chemotherapy (adjusted odds ratio [aOR], 1.45; 95% confidence interval [CI], 1.24-1.70; P <.001) and of receiving an anthracycline-containing regimen (aOR, 1.26; 95% CI, 1.06-1.50; P = .009). Receiving care from a higher-volume provider was also associated with decreased hospitalization (aOR, 0.80; 95% CI, 0.69-0.95; P = .007) and improved survival (adjusted hazard ratio, 0.85; 95% CI, 0.79-0.92; P < .001). CONCLUSION: In older adults diagnosed with DLBCL, receiving care from a provider with more experience treating lymphoma patients was associated with receipt of guideline-adherent therapy, reduced hospitalizations, and improved survival. Clinical volume may be an important factor in providing high-quality cancer care in the modern era.

Associations of preoperative breast magnetic resonance imaging with subsequent mastectomy and breast cancer mortality.

PURPOSE: To examine associations between pre-operative magnetic resonance imaging (MRI) use and clinical outcomes among women undergoing breast-conserving surgery (BCS) with or without radiotherapy for early-stage breast cancer. METHODS: We identified women from the Surveillance, Epidemiology, and End Results-Medicare dataset aged 67-94 diagnosed during 2004-2010 with stage I/II breast cancer who received BCS. We compared subsequent mastectomy and breast cancer mortality with versus without pre-operative MRI, using Cox regression and competing risks models. We further stratified by receipt of radiotherapy for subgroup analyses. RESULTS: Our sample consisted of 24,379 beneficiaries, 4691 (19.2%) of whom received pre-operative MRI. Adjusted rates of subsequent mastectomy and breast cancer mortality were not significantly different with and without MRI: 3.2 versus 4.1 per 1000 person-years [adjusted hazard ratio (AHR) 0.92; 95% confidence interval (CI) 0.70-1.19] and 5.3 versus 8.7 per 1000 person-years (AHR 0.89; 95% CI 0.73-1.08), respectively. In subgroup analyses, women receiving BCS plus radiotherapy had similar rates of subsequent mastectomy (AHR 1.17; 95% CI 0.84-1.61) and breast cancer mortality (AHR 1.00; 95% CI 0.80-1.24) with versus without MRI. However, among women receiving BCS alone, MRI use was associated with lower risks of subsequent mastectomy (AHR 0.60; 95% CI 0.37-0.98) and breast cancer mortality (AHR 0.57; 95% CI 0.36-0.92). CONCLUSIONS: Pre-operative MRI was associated with improved outcomes among older women with breast cancer receiving BCS alone, but not among those receiving BCS plus radiotherapy. Further research is needed to identify appropriate settings for which MRI may be helpful.

Changes in Health Insurance Coverage Associated With the Affordable Care Act Among Adults With and Without a Cancer History: Population-based National Estimates.

BACKGROUND: The Affordable Care Act (ACA) improved health care coverage accessibility by expanding Medicaid eligibility, creating insurance Marketplaces, and subsidizing premiums. We examine coverage changes associated with ACA implementation, comparing adults with and without a cancer history. METHODS: We included nonelderly adults from the 2012 to 2015 National Health Interview Survey. Using information on state Medicaid policies (2013), expansion decisions (2015), family structure, income, insurance offers, and current coverage, we assigned adults in all 4 years to mutually exclusive eligibility categories including: Medicaid-eligible pre-ACA; expansion eligible for Medicaid; and Marketplace premium subsidy eligible. Linear probability regressions estimated pre-post (2012-2013 vs. 2014-2015) coverage changes by eligibility category, stratified by cancer history. RESULTS: The uninsured rate for cancer survivors decreased from 12.4% to 7.7% (P<0.001) pre-post ACA implementation. Relative to income >400% of the federal poverty guideline, the uninsured rate for cancer survivors decreased by an adjusted 8.4 percentage points [95% confidence interval (CI), 1.3-15.6] among pre-ACA Medicaid eligible; 16.7 percentage points (95% CI, 9.0-24.5) among expansion eligible, and 11.3 percentage points (95% CI, -0.8 to 23.5, with a trend P=0.069) for premium subsidy eligible. Decreases in uninsured among expansion-eligible adults without a cancer history [9.7 percentage points (95% CI, 7.4-12.0), were smaller than for cancer survivors (with a trend, P=0.086)]. Despite coverage gains, ∼528,000 cancer survivors and 19.1 million without a cancer history remained uninsured post-ACA, yet over half were eligible for Medicaid or subsidized Marketplace coverage. CONCLUSIONS: ACA implementation was associated with large coverage gains in targeted expansion groups, including cancer survivors, but additional progress is needed.

Impact of sociodemographic characteristics on underemployment in a longitudinal, nationally representative study of cancer survivors: Evidence for the importance of gender and marital status.

BACKGROUND: We examined the longitudinal association between sociodemographic factors and an expanded definition of underemployment among those with and without cancer history in the United States. METHODS: Medical Expenditure Panel Survey data (2007-2013) were used in multivariable regression analyses to compare employment status between baseline and two-year follow-up among adults aged 25-62 years at baseline (n = 1,614 with and n = 39,324 without cancer). Underemployment was defined as becoming/staying unemployed, changing from full to part-time, or reducing part-time work significantly. Interaction effects between cancer history/time since diagnosis and predictors known to be associated with employment patterns, including age, gender/marital status, education, and health insurance status at baseline were modeled. RESULTS: Approximately 25% of cancer survivors and 21% of individuals without cancer reported underemployment at follow-up (p = 0.002). Multivariable analyses indicated that those with a cancer history report underemployment more frequently (24.7%) than those without cancer (21.4%, p = 0.002) with underemployment rates increasing with time since cancer diagnosis. A significant interaction between gender/marital status and cancer history and underemployment was found (p = 0.0004). There were no other significant interactions. Married female survivors diagnosed >10 years ago reported underemployment most commonly (38.7%), and married men without cancer reported underemployment most infrequently (14.0%). A wider absolute difference in underemployment reports for married versus unmarried women as compared to married versus unmarried men was evident, with the widest difference apparent for unmarried versus married women diagnosed >10 years ago (18.1% vs. 38.7%). CONCLUSION: Cancer survivors are more likely to experience underemployment than those without cancer. Longer time since cancer diagnosis and gender/marital status are critical factors in predicting those at greatest risk of underemployment. The impact of cancer on work should be systematically studied across sociodemographic groups and recognized as a component of comprehensive survivorship care.

Myelodysplastic Syndromes and Acute Myeloid Leukemia After Radiotherapy for Prostate Cancer: A Population-Based Study.

BACKGROUND: To understand the impact of radiotherapy on the development of myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) among elderly prostate cancer patients. METHODS: We performed a retrospective cohort study of elderly prostate cancer patients diagnosed during 1999-2011 by using the National Cancer Institute's Surveillance, Epidemiology and End Results-Medicare linked database. Competing risk analyses adjusting for patient characteristics were conducted to assess the impact of radiotherapy on the development of subsequent MDS/AML, compared with surgery. RESULTS: Of 32,112 prostate cancer patients, 14,672 underwent radiotherapy, and 17,440 received surgery only. The median follow-up was 4.68 years. A total of 157 (0.47%) prostate cancer patients developed subsequent MDS or AML, and the median time to develop MDS/AML was 3.30 (range: 0.16-9.48) years. Compared with prostate cancer patients who received surgery only, patients who underwent radiotherapy had a significantly increased risk of developing MDS/AML (hazard ratio [HR] =1.51, 95% confidence interval [CI]: 1.07-2.13). When radiotherapy was further categorized by modalities (brachytherapy, conventional conformal radiotherapy, and intensity-modulated radiotherapy [IMRT]), increased risk of second MDS/AML was only observed in the IMRT group (HR = 1.66, 95% CI: 1.09-2.54). CONCLUSIONS: Our findings suggest that radiotherapy for prostate cancer increases the risk of MDS/AML, and the impact may differ by modality. Additional studies with longer follow-up are needed to further clarify the role of radiotherapy in the development of subsequent myeloid malignancies. A better understanding may help patients, physicians, and other stakeholders make more informed treatment decisions. Prostate 77:437-445, 2017. © 2016 Wiley Periodicals, Inc.

Do cancer survivors change their prescription drug use for financial reasons? Findings from a nationally representative sample in the United States.

BACKGROUND: There is limited evidence from nationally representative samples about changes in prescription drug use for financial reasons among cancer survivors in the United States. METHODS: The 2011 to 2014 National Health Interview Survey was used to identify adults who reported ever having been told they had cancer (cancer survivors; n = 8931) and individuals without a cancer history (n = 126,287). Measures of changes in prescription drug use for financial reasons included: 1) skipping medication doses, 2) taking less medicine, 3) delaying filling a prescription, 4) asking a doctor for lower cost medication, 5) buying prescription drugs from another country, and 6) using alternative therapies. Multivariable logistic regression analyses were controlled for demographic characteristics, number of comorbid conditions, interactions between cancer history and number of comorbid conditions, and health insurance coverage. Main analyses were stratified by age (nonelderly, ages 18-64 years; elderly, ages ≥65 years) and time since diagnosis (recently diagnosed, <2 years; previously diagnosed, ≥2 years). RESULTS: Among nonelderly individuals, both recently diagnosed (31.6%) and previously diagnosed (27.9%) cancer survivors were more likely to report any change in prescription drug use for financial reasons than those without a cancer history (21.4%), with the excess percentage changes for individual measures ranging from 3.5% to 9.9% among previously diagnosed survivors and from 2.6% to 2.7% among recently diagnosed survivors (P < .01). Elderly cancer survivors and those without a cancer history had comparable rates of changes in prescription drug use for financial reasons. CONCLUSIONS: Nonelderly cancer survivors are particularly vulnerable to changes in prescription drug use for financial reasons, suggesting that targeted efforts are needed. Cancer 2017;123:1453-1463. © 2016 American Cancer Society.