Oncology drug pricing: potential Medicare savings on cancer-directed and supportive care medications through the Mark Cuban cost plus drug model.

Prescription drug costs within oncology remain a challenge for many patients with cancer. The Mark Cuban Cost Plus Drug Company (MCCPDC) launched in 2022, aiming to provide transparently priced medications at reduced costs. In this study, we sought to describe the potential impact of MCCPDC on Medicare Part-D oncology spending related to cancer-directed (n = 7) and supportive care (n = 26) drugs. We extracted data for drug-specific Part-D claims and spending for 2021. Using 90-count purchases from MCCPDC, we found potential Part-D savings of $857.8 million (91% savings) across the 7 cancer-directed drugs and $28.7 million (67% savings) across 21/26 (5/26 did not demonstrate savings) supportive care drugs. Collectively, our findings support that alternative purchasing models like MCCPDC may promote substantial health care savings.

Development and multicentre validation of the FLEX score: personalised preoperative surgical risk prediction using attention-based ICD-10 and Current Procedural Terminology set embeddings.

BACKGROUND: Preoperative knowledge of surgical risks can improve perioperative care and patient outcomes. However, assessments requiring clinician examination of patients or manual chart review can be too burdensome for routine use. METHODS: We conducted a multicentre retrospective study of 243 479 adult noncardiac surgical patients at four hospitals within the Mass General Brigham (MGB) system in the USA. We developed a machine learning method using routinely collected coding and patient characteristics data from the electronic health record which predicts 30-day mortality, 30-day readmission, discharge to long-term care, and hospital length of stay. RESULTS: Our method, the Flexible Surgical Set Embedding (FLEX) score, achieved state-of-the-art performance to identify comorbidities that significantly contribute to the risk of each adverse outcome. The contributions of comorbidities are weighted based on patient-specific context, yielding personalised risk predictions. Understanding the significant drivers of risk of adverse outcomes for each patient can inform clinicians of potential targets for intervention. CONCLUSIONS: FLEX utilises information from a wider range of medical diagnostic and procedural codes than previously possible and can adapt to different coding practices to accurately predict adverse postoperative outcomes.

The Use of Natural Language Processing to Assess Social Support in Patients With Advanced Cancer.

BACKGROUND: Data examining associations among social support, survival, and healthcare utilization are lacking in patients with advanced cancer. METHODS: We conducted a cross-sectional secondary analysis using data from a prospective longitudinal cohort study of 966 hospitalized patients with advanced cancer at Massachusetts General Hospital from 2014 through 2017. We used NLP to identify extent of patients' social support (limited versus adequate as defined by NLP-aided review of the Electronic Health Record (EHR)). Two independent coders achieved a Kappa of 0.90 (95% CI: 0.84-1.00) using NLP. Using multivariable regression models, we examined associations of social support with: 1) OS; 2) death or readmission within 90 days of hospital discharge; 3) time to readmission within 90 days; and 4) hospital length of stay (LOS). RESULTS: Patients' median age was 65 (range: 21-92) years, and a plurality had gastrointestinal (GI) cancer (34.3%) followed by lung cancer (19.5%). 6.2% (60/966) of patients had limited social support. In multivariable analyses, limited social support was not significantly associated with OS (HR = 1.13, P = 0.390), death or readmission (OR = 1.18, P = 0.578), time to readmission (HR = 0.92, P = 0.698), or LOS (ß = -0.22, P = 0.726). We identified a potential interaction suggesting cancer type (GI cancer versus other) may be an effect modifier of the relationship between social support and OS (interaction term P = 0.053). In separate unadjusted analyses, limited social support was associated with lower OS (HR = 2.10, P = 0.008) in patients with GI cancer but not other cancer types (HR = 1.00, P = 0.991). CONCLUSION: We used NLP to assess the extent of social support in patients with advanced cancer. We did not identify significant associations of social support with OS or healthcare utilization but found cancer type may be an effect modifier of the relationship between social support and OS. These findings underscore the potential utility of NLP for evaluating social support in patients with advanced cancer.

Qualitative study of Oncology Clinicians' Perceptions of Barriers to Offering Clinical Trials to Underserved Populations.

INTRODUCTION: Cancer clinical trials represent the "gold standard" for advancing novel cancer therapies. Optimizing trial participation is critical to ensuring the generalizability of findings across patients, yet trial enrollment rates, particularly among minority and socioeconomically disadvantaged populations, remain suboptimal. METHODS: We conducted in-depth interviews with oncologists at a large academic medical center to explore their (1) attitudes and perceived barriers to offering clinical trials to minority and socioeconomically disadvantaged patients, and (2) recommendations for improving the enrollment of minority and socioeconomically disadvantaged patients in cancer clinical trials. RESULTS: Of 23 medical oncologists approached, 17 enrolled (74% response rate; mean age = 47; female = 42%; White = 67%). Content analysis revealed several barriers to enrollment: (1) ethical dilemmas; (2) ambivalence about trial risks and benefits; and (3) concern about patient well-being. Concerns about the legitimacy of informed consent, perceived lack of equipoise, and fear of personal bias influenced clinicians' decisions to recommend trials during treatment discussions. Concerns about creating an imbalance between trial risks and benefits among patients with high-level needs, including patients with literacy, psychiatric, and other socioeconomic vulnerabilities, impacted clinicians' enthusiasm to engage in trial discussions. Clinicians identified patient, provider, and system-level solutions to address challenges, including increasing patient and clinician support as well as involving external personnel to support trial enrollment. CONCLUSION: Findings reveal multi-level barriers to offering cancer clinical trials to underrepresented patients. Targeted solutions, including system level changes to support clinicians, patient financial support, and implementation of clinical trial navigation programs were recommended to help reduce access barriers and increase enrollment of underrepresented patients into cancer clinical trials.

Fertility preservation in reproductive-aged female patients with colorectal cancer: a scoping review.

BACKGROUND: Colorectal cancer (CRC) incidence in adults younger than 50 years is steadily increasing in the USA, and treatment for CRC can impact future fertility. However, fertility decision-making in female patients with CRC can be complex, with fertility preservation (FP) counseling occurring inconsistently. PURPOSE: The goal of this scoping review was to assess the literature regarding the frequency and quality of fertility preservation (FP) discussions taking place among oncology clinicians and their reproductive-age female patients with colorectal cancer (CRC) in order to identify existing gaps in care and inform future research, interventions, or potential changes in practice. METHODS: A comprehensive literature search was conducted using the Ovid Medline, PsycInfo, and Scopus databases in order to identify studies pertaining to FP counseling in reproductive-age female patients with CRC. We used Covidence to screen studies for relevance and to extract data. Findings of interest included rate of fertility and/or FP discussions, patient characteristics associated with fertility discussions, initiators of discussions, rate of referrals to fertility specialists, patient utilization of FP services, and unmet fertility needs. We performed both quantitative and qualitative data synthesis. RESULTS: We identified five studies that met our inclusion criteria, all published between 2007 and 2022. Frequency of fertility counseling discussions was low across studies, with a range of 15 to 52.5% of female patients with CRC receiving counseling. Patient characteristics which may be associated with likelihood of fertility discussion included age, parity, number of children, cancer location and stage, treatment type, and quality of life. The literature suggested that fertility discussions were initiated by clinicians about two-thirds of the time, and medical oncologists were the clinicians most likely to initiate. Studies did capture unmet fertility-related patient needs; participants who did not receive counseling often expressed desire for these discussions and regret that they did not occur. CONCLUSION: Despite increasing incidence of CRC in patients at younger ages, this scoping review found a dearth of research conducted on young female CRC patients' experiences with fertility counseling and referrals. Notably, the existing research reveals that relatively few of these patients are receiving appropriate counseling. Additional research is needed to clarify current FP counseling practices, patient and clinician perceptions about FP, and ways to improve the quantity and quality of FP counseling in this patient population.

Perceptions of prognosis and end-of-life care outcomes in patients with advanced lung and gastrointestinal cancer.

BACKGROUND: Many patients with advanced cancer have misperceptions of their prognosis, which may impact end-of-life decision-making. Data regarding associations between prognostic perceptions over time and end-of-life care outcomes are lacking. AIM: To describe patients' perceptions of their prognosis with advanced cancer and examine associations between these perceptions and end-of-life care outcomes. DESIGN: Secondary analysis of longitudinal data from a randomized controlled trial of a palliative care intervention for patients with newly diagnosed incurable cancer. SETTING/PARTICIPANTS: Conducted at an outpatient cancer center in the northeastern United States and patients were within 8 weeks of a diagnosis with incurable lung or non-colorectal gastrointestinal cancer. RESULTS: We enrolled 350 patients in the parent trial, of which 80.5% (281/350) died during the study period. Overall, 59.4% (164/276) of patients reported they were terminally ill, and 66.1% (154/233) reported that their cancer was likely curable at the assessment closest to death. Patient acknowledgment of terminal illness was only associated with lower risk of hospitalizations in the last 30 days of life (OR = 0.52, p = 0.025). Patients who reported their cancer as likely curable were less likely to utilize hospice (OR = 0.25, p = 0.002) or die at home (OR = 0.56, p = 0.043), and they were more likely to be hospitalized in the last 30 days of life (OR = 2.28, p = 0.011). CONCLUSIONS: Patients' perceptions of their prognosis are associated with important end-of-life care outcomes. Interventions are needed to enhance patients' perceptions of their prognosis and optimize their end-of-life care.

Supportive oncology care at home interventions: protocols for clinical trials to shift the paradigm of care for patients with cancer.

BACKGROUND: Patients with cancer often endure substantial symptoms and treatment toxicities leading to high healthcare utilization, including hospitalizations and emergency department visits, throughout the continuum of their illness. Innovative oncology care models are needed to improve patient outcomes and reduce their healthcare utilization. Using a novel hospital at home care platform, we developed a Supportive Oncology Care at Home intervention to address the needs of patients with cancer. METHODS: We are conducting three trials to delineate the role of Supportive Oncology Care at Home for patients with cancer. The Supportive Oncology Care at Home intervention includes: (1) a hospital at home care model for symptom assessment and management; (2) remote monitoring of daily patient-reported symptoms, vital signs, and body weight; and (3) structured communication with the oncology team. Our first study is a randomized controlled trial to test the efficacy of Supportive Oncology Care at Home versus standard oncology care for improving healthcare utilization, cancer treatment interruptions, and patient-reported outcomes in patients with cancer receiving definitive treatment of their cancer. Participants include adult patients with gastrointestinal and head and neck cancer, as well as lymphoma, receiving definitive treatment (e.g., treatment with curative intent). The second study is a single-arm trial assessing the feasibility and acceptability of the Supportive Oncology Care at Home intervention for hospitalized patients with advanced cancer. Eligible participants include adult patients with incurable cancer who are admitted with an unplanned hospitalization. The third study is a single-arm trial assessing the feasibility and acceptability of the Supportive Oncology Care at Home intervention to enhance the end-of-life care for patients with advanced hematologic malignancies. Eligible participants include adult patients with relapsed or refractory hematologic malignancy receiving palliative therapy or supportive care alone. DISCUSSION: These studies are approved by the Dana-Farber/Harvard Cancer Center Institutional Review Board and are being conducted in accordance with the Consolidated Standards of Reporting Trials statement for non-pharmacological trials. This work has the potential to transform the paradigm of care for patients with cancer by providing them with the necessary support at home to improve their health outcomes and care delivery. TRIAL REGISTRATIONS: NCT04544046, NCT04637035, NCT04690205.

Representation and Outcomes of Older Adults in Practice-Changing Oncology Trials in the Era of Novel Therapies: A Guideline Appraisal.

BACKGROUND: Older adults account for 70% of cancer-related deaths, but previous studies have shown that they are underrepresented in cancer clinical trials. We sought to analyze the representation and outcomes of older adults in trials conducted in the era of novel targeted therapy and immunotherapy. METHODS: We searched the 2020 NCCN Clinical Practice Guidelines in Oncology and retrieved trials from the past 10 years leading to category 1 recommendations in the first-line metastatic setting for the 5 most common causes of cancer death. We categorized trials by cancer type, single-agent versus multiagent approach, and therapeutic class. We described the percentage of older adults (according to each trial's definition) and used a Mantel-Haenszel random-effects meta-analysis model to compare overall and progression-free survival by age. RESULTS: We identified 30 trials consisting of 24,416 patients. Across all trials, 44% of enrolled patients were older adults. Representation of older adults by cancer type within trials was 49% prostate cancer, 38% pancreatic cancer, 37% breast cancer, and 34% non-small cell lung cancer. Representation of older adults also varied by therapeutic class: 20% received immunotherapy, 44% received cytotoxic chemotherapy, 54% received targeted/hormonal therapy, and 34% received combination therapy (P<.001 for all comparisons). For each year since 2010, the percentage of older adults enrolled in trials increased by 1.9%, although this difference was not significant. We observed no difference in overall or progression-free survival between older and younger adults. In our analysis of practice-changing clinical trials, we found that 44% of clinical trial participants were older adults. Trials that included immunotherapy or a combination of therapeutic classes had a lower representation of older adults (<40%). CONCLUSIONS: We found that >40% of patients in practice-changing trials are older adults. Although they remain underrepresented in clinical trials compared with the general population, older adults in practice-changing trials seem to be better represented than in previously reported analyses of cooperative group trials.

Associations of patient-reported care satisfaction with symptom burden and healthcare use in hospitalized patients with cancer.

BACKGROUND: Hospitalized patients with cancer often experience a high symptom burden, which may impact care satisfaction and healthcare utilization. METHODS: We prospectively enrolled patients with cancer and unplanned hospitalizations from September 2014 to April 2017. Upon admission, we assessed patients' care satisfaction (FAMCARE items: satisfaction with care coordination and speed with which symptoms are treated) and physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire-4 [PHQ-4]) symptoms. We used regression models to identify factors associated with care satisfaction and associations of satisfaction with symptom burden and hospital length of stay (LOS). RESULTS: Among 1,576 participants, most reported being "satisfied"/ "very satisfied" with care coordination (90%) and speed with which symptoms are treated (89%). Older age (coordination: B < 0.01, P = 0.02, speed: B = 0.01, P < 0.01) and admission to a dedicated oncology service (B = 0.20, P < 0.01 for each) were associated with higher satisfaction. Higher satisfaction with care coordination was associated with lower ESAS-physical (B = - 1.28, P < 0.01), ESAS-total (B = - 2.73, P < 0.01), PHQ4-depression (B = - 0.14, P = 0.02), and PHQ4-anxiety (B = - 0.16, P < 0.01) symptoms. Higher satisfaction with speed with which symptoms are treated was associated with lower ESAS-physical (B = - 1.32, P < 0.01), ESAS-total (B = - 2.46, P < 0.01), PHQ4-depression (B = - 0.14, P = 0.01), and PHQ4-anxiety (B = - 0.17, P < 0.01) symptoms. Satisfaction with care coordination (B = - 0.48, P = 0.04) and speed with which symptoms are treated (B = - 0.44, P = 0.04) correlated with shorter LOS. CONCLUSIONS: Hospitalized patients with cancer report high care satisfaction, which correlates with older age and admission to a dedicated oncology service. Significant associations among higher care satisfaction, lower symptom burden, and shorter hospital LOS highlight the importance of improving symptom management and care coordination in this population.

Disparities in phase 1 cancer clinical trial enrollment.

BACKGROUND: Phase 1 trials are increasingly important in the molecularly driven era of oncology, but few studies have examined phase 1 participation disparities. The authors of this study investigated factors associated with phase 1 versus phase 2/3 trial enrollment. METHODS: They authors conducted a cross-sectional study using serial samples of patients age ≥18 years enrolling on cancer trials from October 2011 to November 2014 at an academic cancer center. They used univariable and multivariable logistic regression models to analyze sociodemographic and clinical associations with phase 1 versus phase 2/3 trial enrollment. RESULTS: Among 3103 patients enrolled in cancer trials, 2657 unique patients participated in phase 1/2/3 trials. For patients enrolled in phase 1 (n = 1401) versus phase 2/3 (n = 1256) trials, we found no significant differences by age, insurance status, marital status, and income. Overall, 1216 (93%) White, 72 (6%) Asian, and 21 (2%) Black patients enrolled on phase 1 trials, whereas 1068 (93%) White, 40 (3%) Asian, and 43 (4%) Black patients enrolled on phase 2/3 trials. Adjusting for age, sex, race, ethnicity, insurance status, marital status, income, cancer type, disease status, travel distance, and trial year, compared with White patients, Black patients had lower phase 1 enrollment (odds ratio [OR], 0.46; 95% confidence interval [CI], 0.25-0.82), as did Hispanic/Latino (OR, 0.25; 95% CI, 0.08-0.79) and male patients (OR, 0.77; 95% CI, 0.62-0.94). Asian patients had higher phase 1 enrollment (OR, 1.38; 95% CI, 0.88-2.16). CONCLUSIONS: Disparities in phase 1 versus phase 2/3 cancer clinical trial enrollment underscore the urgent need for interventions addressing inequities in early-phase trial participation. LAY SUMMARY: Phase 1 trials are of increasing importance in oncology. The authors of the study analyzed all patients enrolling on cancer clinical trials at a large academic cancer center from October 2011 to November 2014. Among the 2657 trial participants, when age, sex, race, ethnicity, insurance status, marital status, income, cancer type, disease status, travel distance, and trial year were taken into account, Black, Hispanic/Latino, and male patients were less likely to enroll on phase 1 trials versus phase 2/3 trials. These findings suggest a need for targeted interventions to improve access to and education about phase 1 trials for Black and Hispanic/Latino patients.

Material, behavioral, and psychological financial hardship among survivors of childhood cancer in the Childhood Cancer Survivor Study.

BACKGROUND: Medical financial burden includes material, behavioral, and psychological hardship and has been underinvestigated among adult survivors of childhood cancer. METHODS: A survey from 698 survivors and 210 siblings from the Childhood Cancer Survivor Study was analyzed. The intensity of financial hardship was estimated across 3 domains: 1) material, including conditions that arise from medical expenses; 2) behavioral, including coping behaviors to manage medical expenses; and 3) psychological hardship resulting from worries about medical expenses and insurance, as measured by the number of instances of each type of financial hardship (0, 1-2, and ≥3 instances). Multivariable logistic regressions were conducted to examine the clinical and sociodemographic predictors of experiencing financial hardship (0-2 vs ≥3 instances). RESULTS: The intensity of financial hardship did not significantly differ between survivors and siblings. Survivors reported more instances of material hardship than siblings (1-2 instances: 27.2% of survivors vs 22.6% of siblings; ≥3 instances: 15.9% of survivors vs 11.4% siblings; overall P = .03). In multivariable regressions, insurance was protective against all domains of financial hardship (behavioral odds ratio [OR], 0.12; 95% confidence interval [CI], 0.06-0.22; material OR, 0.37; 95% CI, 0.19-0.71; psychological OR, 0.10; 95% CI, 0.05-0.21). Survivors who were older at diagnosis, female, and with chronic health conditions generally had higher levels of hardship. Brain radiation and alkylating agents were associated with higher levels of hardship. CONCLUSIONS: Material, behavioral, and psychological financial burden among survivors of childhood cancer is common.

Associations of baseline patient-reported outcomes with treatment outcomes in advanced gastrointestinal cancer.

BACKGROUND: Patient-reported outcomes (PROs) assessing quality of life (QOL) and symptom burden correlate with clinical outcomes in patients with cancer. However, to the authors' knowledge, data regarding associations between PROs and treatment response are lacking. METHODS: The authors prospectively approached consecutive patients with advanced gastrointestinal cancer who were initiating a new treatment. Prior to treatment, patients reported their QOL (Functional Assessment of Cancer Therapy-General [FACT-G], 4 subscales: Functional, Physical, Emotional, Social; higher scores indicate better QOL) and symptom burden (Edmonton Symptom Assessment System [ESAS], Patient Health Questionnaire-4 [PHQ-4]; higher scores represent greater symptoms). Regression models were used to examine associations of baseline PROs with treatment response (clinical benefit or progressive disease [PD] at time of first scan), healthcare utilization, and survival. RESULTS: From May 2019 to April 2020, a total of 112 patients with advanced gastrointestinal cancer were enrolled. For treatment response, 64.3% had CB and 35.7% had PD. Higher baseline ESAS-Physical (odds ratio, 1.04; P = .027) and lower FACT-G Functional (odds ratio, 0.92; P = .038) scores were associated with PD. Higher ESAS-Physical (hazard ratio [HR], 1.03; P = .044) and lower FACT-G Total (HR, 0.96; P = .005), FACT-G Physical (HR, 0.89; P < .001), and FACT-G Functional (HR, 0.87; P < .001) scores were associated with a greater hospitalization risk. Lower FACT-G Total (HR, 0.96; P = .009) and FACT-G Emotional (HR, 0.86; P = .012) scores as well as higher ESAS-Total (HR, 1.03; P = .014) and ESAS-Physical (HR, 1.04; P = .032) scores were associated with worse survival. CONCLUSIONS: Baseline PROs are associated with treatment response in patients with advanced gastrointestinal cancer, namely physical symptoms and functional QOL, in addition to health care use and survival. The findings of the current study support the association between PROs and important clinical outcomes, including the novel finding of treatment response.

Clinical Outcomes, Treatment Toxicity, and Health Care Utilization in Older Adults with Aggressive Non-Hodgkin Lymphoma.

BACKGROUND: Although balancing treatment efficacy with risks of complications is critical for older adults with aggressive non-Hodgkin lymphoma (NHL), few studies have described these patients' clinical outcomes, rates of toxicities, and health care utilization. METHODS: We conducted a retrospective analysis of adults ≥65 years diagnosed with aggressive NHL and receiving systemic therapy at Massachusetts General Hospital from April 2000 to July 2020. We abstracted patient characteristics, clinical outcomes, treatment toxicity, unplanned hospitalizations, and intensive care unit (ICU) admissions within 6 months of treatment initiation from the medical record. Using multivariable logistic regression, we examined factors associated with rates of grade 3+ nonhematologic toxicity and unplanned hospitalization. RESULTS: Among 295 patients (median age, 73 years; 39.0% female), 5-year overall survival (OS) was 74.2%. Five-year OS by age group (65-69, 70-74, 75-79, and 80+ years) was 82.2%, 72.0%, 73.6%, and 66.4%, respectively. Overall, 42.4% experienced grade 3+ toxicity, with 8.1% experiencing grades 4-5. The rates of unplanned hospitalization and ICU admission were 41.0% and 6.1%, respectively. In multivariable analysis, hypoalbuminemia (odds ratio [OR], 4.29; p < .001) and high comorbidity score (OR, 4.22; p < .001) were associated with likelihood of grade 3+ toxicity. Hypoalbuminemia (OR, 2.83; p = .003), high comorbidity score (OR, 3.93; p = .001), and receipt of EPOCH (etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin; OR, 5.45; p = .012) were associated with likelihood of unplanned hospitalization. CONCLUSIONS: The majority of older adults receiving upfront therapy for aggressive NHL survive beyond 5 years, yet nearly half experience substantial treatment toxicities and unplanned hospitalizations. Our findings underscore the need for supportive care interventions to enhance the care experience of this population. IMPLICATIONS FOR PRACTICE: The results of this study highlight the potential benefits of intensive chemoimmunotherapy for the majority of older adults with aggressive non-Hodgkin lymphoma, even at advanced ages. Nearly half of older adults experienced substantial treatment toxicities and unplanned hospitalizations, emphasizing the unmet need for supportive care interventions in this population. The present study also identified hypoalbuminemia and patient comorbidity score as factors associated with grade 3+ nonhematologic toxicity and unplanned hospitalization. These findings may guide the development and implementation of targeted supportive care interventions in high-risk older adults with aggressive non-Hodgkin lymphoma.

Muscle Loss Is Associated with Overall Survival in Patients with Metastatic Colorectal Cancer Independent of Tumor Mutational Status and Weight Loss.

BACKGROUND: Survival in patients with metastatic colorectal cancer (mCRC) has been associated with tumor mutational status, muscle loss, and weight loss. We sought to explore the combined effects of these variables on overall survival. MATERIALS AND METHODS: We performed an observational cohort study, prospectively enrolling patients receiving chemotherapy for mCRC. We retrospectively assessed changes in muscle (using computed tomography) and weight, each dichotomized as >5% or ≤5% loss, at 3, 6, and 12 months after diagnosis of mCRC. We used regression models to assess relationships between tumor mutational status, muscle loss, weight loss, and overall survival. Additionally, we evaluated associations between muscle loss, weight loss, and tumor mutational status. RESULTS: We included 226 patients (mean age 59 ± 13 years, 53% male). Tumor mutational status included 44% wild type, 42% RAS-mutant, and 14% BRAF-mutant. Patients with >5% muscle loss at 3 and 12 months experienced worse survival controlling for mutational status and weight (3 months hazard ratio, 2.66; p < .001; 12 months hazard ratio, 2.10; p = .031). We found an association of >5% muscle loss with BRAF-mutational status at 6 and 12 months. Weight loss was not associated with survival nor mutational status. CONCLUSION: Increased muscle loss at 3 and 12 months may identify patients with mCRC at risk for decreased overall survival, independent of tumor mutational status. Specifically, >5% muscle loss identifies patients within each category of tumor mutational status with decreased overall survival in our sample. Our findings suggest that quantifying muscle loss on serial computed tomography scans may refine survival estimates in patients with mCRC. IMPLICATIONS FOR PRACTICE: In this study of 226 patients with metastatic colorectal cancer, it was found that losing >5% skeletal muscle at 3 and 12 months after the diagnosis of metastatic disease was associated with worse overall survival, independent of tumor mutational status and weight loss. Interestingly, results did not show a significant association between weight loss and overall survival. These findings suggest that muscle quantification on serial computed tomography may refine survival estimates in patients with metastatic colorectal cancer beyond mutational status.

Caregiver-Oncologist Prognostic Concordance, Caregiver Mastery, and Caregiver Psychological Health and Quality of Life.

BACKGROUND: Caregivers of adults with cancer often report a different understanding of the patient's prognosis than the oncologist. We examine the associations of caregiver-oncologist prognostic concordance with caregiver depressive symptoms, distress, and quality of life (QoL). We also explore whether these relationships differed by caregiver environment mastery, an individual's sense of control, and effectiveness in managing life situations. MATERIALS AND METHODS: We used data from a national geriatric assessment cluster-randomized trial (URCC 13070) that recruited patients aged 70 years and older with incurable cancer considering any line of cancer treatment at community oncology practices, their caregivers, and their oncologists. At enrollment, caregivers and oncologists estimated the patient's prognosis (0-6 months, 7-12 months, 1-2 years, 2-5 years, and >5 years; identical responses were concordant). Caregivers completed the Ryff's environmental mastery at enrollment. At 4-6 weeks, caregivers completed the Patient Health Questionnaire-2 (depressive symptoms), distress thermometer, and 12-Item Short-Form Health Survey (quality of life [QoL]). We used generalized estimating equations in models adjusted for covariates. We then assessed the moderation effect of caregiver mastery. RESULTS: Of 411 caregiver-oncologist dyads (mean age = 66.5 years), 369 provided responses and 28% were concordant. Prognostic concordance was associated with greater caregiver depressive symptoms (ß = 0.30; p = .04) but not distress or QoL. A significant moderation effect for caregiver depressive symptoms was found between concordance and mastery (p = .01). Specifically, among caregivers with low mastery (below median), concordance was associated with greater depressive symptoms (ß = 0.68; p = .003). CONCLUSIONS: Caregiver-oncologist prognostic concordance was associated with caregiver depressive symptoms. We found a novel moderating effect of caregiver mastery on the relationship between concordance and caregiver depressive symptoms. IMPLICATIONS FOR PRACTICE: Caregiver-oncologist prognostic concordance is associated with greater caregiver depressive symptoms, particularly in those with low caregiver mastery. When discussing prognosis with caregivers, physicians should be aware that prognostic understanding may affect caregiver psychological health and should assess their depressive symptoms. In addition, while promoting accurate prognostic understanding, physicians should also identify strengths and build resilience among caregivers.

Patient and Caregiver Considerations and Priorities When Selecting Hospitals for Complex Cancer Care.

BACKGROUND: Healthcare policies have focused on centralizing care to high-volume centers in an effort to optimize patient outcomes; however, little is known about patients' and caregivers' considerations and selection process when selecting hospitals for care. We aim to explore how patients and caregivers select hospitals for complex cancer care and to develop a taxonomy for their selection considerations. METHODS: This was a qualitative study in which data were gathered from in-depth interviews conducted from March to November 2019 among patients with hepatopancreatobiliary cancers who were scheduled to undergo a pancreatectomy (n = 20) at a metropolitan, urban regional, or suburban medical center and their caregivers (n = 10). RESULTS: The interviews revealed six broad domains that characterized hospital selection considerations: hospital factors, team characteristics, travel distance to hospital, referral or recommendation, continuity of care, and insurance considerations. The identified domains were similar between participants seen at the metropolitan center and urban/suburban medical centers, with the following exceptions: participants receiving care specifically at the metropolitan center noted operative volume and access to specific services such as clinical trials in their hospital selection; participants receiving care at urban/suburban centers noted health insurance considerations and having access to existing medical records in their hospital selection. CONCLUSIONS: This study delineates the many considerations of patients and caregivers when selecting hospitals for complex cancer care. These identified domains should be incorporated into the development and implementation of centralization policies to help increase patient access to high-quality cancer care that is consistent with their priorities and needs.

Association of Social Support With Overall Survival and Healthcare Utilization in Patients With Aggressive Hematologic Malignancies.

BACKGROUND: Social support plays a crucial role for patients with aggressive hematologic malignancies as they navigate their illness course. The aim of this study was to examine associations of social support with overall survival (OS) and healthcare utilization in this population. METHODS: A cross-sectional secondary analysis was conducted using data from a prospective longitudinal cohort study of 251 hospitalized patients with aggressive hematologic malignancies at Massachusetts General Hospital from 2014 through 2017. Natural Language Processing (NLP) was used to identify the extent of patients' social support (limited vs adequate as defined by NLP-aided chart review of the electronic health record). Multivariable regression models were used to examine associations of social support with (1) OS, (2) death or readmission within 90 days of discharge from index hospitalization, (3) time to readmission within 90 days, and (4) index hospitalization length of stay. RESULTS: Patients had a median age of 64 years (range, 19-93 years), and most were White (89.6%), male (68.9%), and married (65.3%). A plurality of patients had leukemia (42.2%) followed by lymphoma (37.9%) and myelodysplastic syndrome/myeloproliferative neoplasm (19.9%). Using NLP, we identified that 8.8% (n=22) of patients had limited social support. In multivariable analyses, limited social support was associated with worse OS (hazard ratio, 2.00; P=.042) and a higher likelihood of death or readmission within 90 days of discharge (odds ratio, 3.11; P=.043), but not with time to readmission within 90 days or with index hospitalization length of stay. CONCLUSIONS: In this cohort of hospitalized patients with aggressive hematologic malignancies, we found associations of limited social support with lower OS and a higher likelihood of death or readmission within 90 days of hospital discharge. These findings underscore the utility of NLP for evaluating the extent of social support and the need for larger studies evaluating social support in patients with aggressive hematologic malignancies.

Associations of Skeletal Muscle With Symptom Burden and Clinical Outcomes in Hospitalized Patients With Advanced Cancer.

BACKGROUND: Low muscle mass (quantity) is common in patients with advanced cancer, but little is known about muscle radiodensity (quality). We sought to describe the associations of muscle mass and radiodensity with symptom burden, healthcare use, and survival in hospitalized patients with advanced cancer. METHODS: We prospectively enrolled hospitalized patients with advanced cancer from September 2014 through May 2016. Upon admission, patients reported their physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire-4 [PHQ-4]) symptoms. We used CT scans performed per routine care within 45 days before enrollment to evaluate muscle mass and radiodensity. We used regression models to examine associations of muscle mass and radiodensity with patients' symptom burden, healthcare use (hospital length of stay and readmissions), and survival. RESULTS: Of 1,121 patients enrolled, 677 had evaluable muscle data on CT (mean age, 62.86 ± 12.95 years; 51.1% female). Older age and female sex were associated with lower muscle mass (age: B, -0.16; P<.001; female: B, -6.89; P<.001) and radiodensity (age: B, -0.33; P<.001; female: B, -1.66; P=.014), and higher BMI was associated with higher muscle mass (B, 0.58; P<.001) and lower radiodensity (B, -0.61; P<.001). Higher muscle mass was significantly associated with improved survival (hazard ratio, 0.97; P<.001). Notably, higher muscle radiodensity was significantly associated with lower ESAS-Physical (B, -0.17; P=.016), ESAS-Total (B, -0.29; P=.002), PHQ-4-Depression (B, -0.03; P=.006), and PHQ-4-Anxiety (B, -0.03; P=.008) symptoms, as well as decreased hospital length of stay (B, -0.07; P=.005), risk of readmission or death in 90 days (odds ratio, 0.97; P<.001), and improved survival (hazard ratio, 0.97; P<.001). CONCLUSIONS: Although muscle mass (quantity) only correlated with survival, we found that muscle radiodensity (quality) was associated with patients' symptoms, healthcare use, and survival. These findings underscore the added importance of assessing muscle quality when seeking to address adverse muscle changes in oncology.

Financial worry and psychological distress among cancer survivors in the United States, 2013-2018.

BACKGROUND: A growing proportion of cancer survivors experience financial toxicity. However, the psychological burden of cancer costs and associated mental health outcomes require further investigation. We assessed prevalence and predictors of self-reported financial worry and mental health outcomes among cancer survivors. PATIENTS AND METHODS: Data from the 2013-2018 National Health Interview Survey (NHIS) for adults reporting a cancer diagnosis were used. Multivariable ordinal logistic regressions defined adjusted odds ratios (AORs) of reporting financial worry by relevant sociodemographic variables, and sample weight-adjusted prevalence of financial worry was estimated. The association between financial worry and psychological distress, as defined by the six-item Kessler Psychological Distress Scale was also assessed. RESULTS: Among 13,361 survey participants (median age 67; 60.0% female), 9567 (71.6%) self-reported financial worry, including worries regarding costs of paying for children's college education (62.7%), maintaining one's standard of living (59.7%), and medical costs due to illness or accident (58.3%). Female sex, younger age, and Asian American race were associated with increased odds of financial worry (P < 0.05 for all). Of 13,218 participants with complete responses to K6 questions, 701 (5.3%) met the threshold for severe psychological distress. Participants endorsing financial worry were more likely to have psychological distress (6.6 vs. 1.2%, AOR 2.89, 95% CI 2.03-4.13, P< 0.001) with each additional worry conferring 23.9% increased likelihood of psychological distress. CONCLUSIONS: A majority of cancer survivors reported financial worry, which was associated with greater odds of reporting psychological distress. Policies and guidelines are needed to identify and mitigate financial worries and psychologic distress among patients with cancer, with the goal of improving psychological well-being and overall cancer survivorship care.

Importance of quality-of-life priorities and preferences surrounding treatment decision making in patients with cancer and oncology clinicians.

BACKGROUND: Shared decision-making (SDM) occurs when a patient partners with their oncologist to integrate personal preferences and values into treatment decisions. A key component of SDM is the elicitation of patient preferences and values, yet little is known about how and when these are elicited, communicated, prioritized, and documented within clinical encounters. METHODS: This cross-sectional study evaluated nationwide data collected by CancerCare to better understand current patterns of SDM between patients and their oncology clinicians. Patient surveys included questions about the importance of quality-of-life preferences and discussions regarding quality-of-life priorities with their clinicians. Clinician surveys included questions about the discussion of quality-of-life priorities and preferences with patients, the effect of quality-of-life priorities on treatment recommendations, and quality-of-life priority documentation in practice. RESULTS: Patient survey completers (n = 320; 33% response rate) were predominantly women (95%), had a diagnosis of breast cancer (59%), or were receiving active cancer treatment (59%). Clinician survey completers (n = 112; 5% response rate) predominately identified as hematologists or oncologists (66%). Although 67% of clinicians reported knowing their patients' personal quality-of-life priorities and preferences before finalizing treatment plans, only 37% of patients reported that these discussions occurred before treatment initiation. Most patients (95%) considered out-of-pocket expenses important during treatment planning, yet only 59% reported discussing out-of-pocket expenses with their clinician before finalizing treatment plans. A majority of clinicians (52%) considered clinic questionnaires as feasible to document quality-of-life priorities and preferences. CONCLUSIONS: Patients and clinicians reported that preferences related to quality-of-life should be considered in treatment decision making, yet barriers to SDM, preference elicitation, and documentation remain.