Estimating oncologist variability in prescribing systemic cancer therapies to patients in the last 30 days of life.

INTRODUCTION: Clinical guidelines and quality improvement initiatives have identified reducing the use of end-of-life cancer therapies as an opportunity to improve care. We examined the extent to which oncologists differed in prescribing systemic therapies in the last 30 days of life. METHODS: Using Surveillance, Epidemiology, and End Results-Medicare data, we identified patients who died of cancer from 2012 to 2017 (N = 17,609), their treating oncologists (N = 960), and the corresponding physician practice (N = 388). We used multilevel models to estimate oncologists' rates of providing cancer therapy for patients in their last 30 days of life, adjusted for patient characteristics and practice variation. RESULTS: Patients' median age at the time of death was 74 years (interquartile range, 69-79); patients had lung (62%), colorectal (17%), breast (13%), and prostate (8%) cancers. We observed substantial variation across oncologists in their adjusted rate of treating patients in the last 30 days of life: oncologists in the 95th percentile exhibited a 45% adjusted rate of treatment, versus 17% among the 5th percentile. A patient treated by an oncologist with a high end-of-life prescribing behavior (top quartile), compared to an oncologist with a low prescribing behavior (bottom quartile), had more than four times greater odds of receiving end-of-life cancer therapy (OR, 4.42; 95% CI, 4.00-4.89). CONCLUSIONS: Oncologists show substantial variation in end-of-life prescribing behavior. Future research should examine why some oncologists more often continue systemic therapy at the end of life than others, the consequences of this for patient and care outcomes, and whether interventions shaping oncologist decision-making can reduce overuse of end-of-life cancer therapies.

Development and Evaluation of a Multisource Approach to Extend Mortality Follow-Up for Older Adults With Advanced Cancer Enrolled in Randomized Trials.

PURPOSE: Mortality data can complement primary end points from cancer clinical trials. Yet, identifying deaths after trial completion is challenging, as timely and comprehensive vital status data are unavailable in the United States. We developed and evaluated a multisource approach to capture death data after clinical trial completion. METHODS: Individuals age 70 years and older with incurable solid tumors or lymphoma and ≥1 aging-related condition were enrolled from October 2014 to March 2019 (ClinicalTrials.gov identifier: NCT02107443 and NCT02054741). Participants provided consent to link trial information to external sources. We developed a stepped approach for extended death capture using (1) active trial follow-up up to 1 year, (2) linkage to the National Death Index (NDI), and (3) obituary searches, thus generating a 5-year survival curve. In a random sample of 50 participants who died during trial follow-up, we estimated sensitivity of death data using NDI and obituary sources and computed survival times by data source. RESULTS: The two trials enrolled 1,169 participants; mean age was 76 years; 46% were female; and gastrointestinal cancer (30%) and lung cancer (26%) were the most common cancer types. Across data sources, maximum follow-up was >7 years; 5-year survival was 18%. In total, there were 841 deaths: 603 identified during trial follow-up; 199 from the NDI; and 39 from obituary searches. The sensitivity for death capture was 92% for the NDI and 94% for the obituary searches compared with the trial data, and computed survival times were similar across data sources. CONCLUSION: Extending clinical trial mortality follow-up through linkage with external data sources was feasible and accurate. Future cancer clinical trials should collect necessary consent and patient identifiers for vital status linkages that can enhance understanding of longer-term outcomes.

Uncovering Patient and Caregiver Goals for Goal-Concordant Care in Kidney Therapy Decisions.

CONTEXT: In kidney therapy (KT) decisions, goal-concordant decision-making is recognized to be important, yet alignment with patients' goals during dialysis initiation is not always achieved. OBJECTIVES: To explore older patients' and caregivers' hopes, goals, and fears related to KT and communication of these elements with members of their health care team. METHODS: The study included patients aged ≥75 years with an estimated glomerular filtration rate ≤25 mL/min/1.73 m2 and their caregivers enrolled in a palliative care intervention for KT decision-making. Patients and caregivers were asked open-ended questions about their hopes, goals, and fears related to KT decisions. A survey assessed if patients shared their goals with members of their health care team. Qualitative data underwent content analysis, supplemented by demographic descriptive statistics. RESULTS: The mean age of patients (n = 26) was 82.7 (±5.7) years, and caregivers (n = 15) had a mean age of 66.4 (±13.7) years. Among the participants, 13 patients and 11 caregivers were women, and 20 patients and 12 caregivers were White. Four themes emerged: (1) Maintaining things as good as they are by avoiding dialysis-related burdens; (2) seeking longevity while avoiding dialysis; (3) avoiding pain, symptoms, and body disfigurement; and (4) deferring decision-making. Patients rarely had shared their goals with the key members of their health care team. CONCLUSION: Patients and caregivers prioritize maintaining quality of life, deferring decision-making regarding dialysis, and avoiding dialysis-related burdens. These goals are often unshared with their family and health care teams. Given our aging population, urgent action is needed to educate clinicians to actively explore and engage with patient goals in KT decision-making.

Patient-Caregiver Dyads & End-of-Life Care: Caregiver Personality Disrupts Gender-Based Norms.

CONTEXT: Gender and personality may individually impact end-of-life care. Men often receive more aggressive treatments than women near death, and personality - particularly openness - may be associated with increased care utilization when it diverges from traditional treatment norms. However, research has not examined the interaction of these variables in a dyadic context. OBJECTIVES: This study examined the dyadic effects of patient gender and caregiver personality on end-of-life care. METHODS: Using data from the VOICE randomized clinical trial, the present sample consisted of patient-caregiver dyads receiving outpatient care for advanced cancer in Sacramento and Western New York. Analyses assessed whether caregiver personality was associated with gender-based differences in patient chemotherapy or emergency department/inpatient visits in the 30 days before death. Logistic regression examined the interaction between caregivers' Big Five personality dimensions and patient gender while accounting for patient and caregiver demographic and health characteristics. RESULTS: Of a total of 134 patient-caregiver dyads, 19.4% (n = 26) of patients received chemotherapy and 47.8% (n = 64) had an emergency department/inpatient visit in the 30 days before death. Results demonstrated a significant interaction between caregiver openness and patient gender on receipt of chemotherapy (odds ratio = 0.07, p = 0.006). When caregivers were less open, men were more likely to receive chemotherapy near death, whereas when caregivers were more open, women were more likely to receive chemotherapy near death. CONCLUSION: Results suggest caregiver personality characteristics, particularly openness, might disrupt gender-based treatment norms at end-of-life. Findings demonstrate that patient and caregiver factors can interact to explain patient healthcare utilization.

Functional impairment is associated with medical debt in male cancer survivors and credit card debt in female cancer survivors.

PURPOSE: To examine the associations of functional limitations with medical and credit card debt among cancer survivor families and explore sex differences in these associations. METHODS: This cross-sectional study used data from the 2019 wave of the Panel Study of Income Dynamics, a nationally representative, population-based survey of individuals and households in the US administered in both English and Spanish and includes all households where either the head of household or spouse/partner reported having been diagnosed with cancer. Participants reported on functional limitations in six instrumental activities of daily living (IADL) and seven activities of daily living (ADL). Functional impairment was categorized as 0, 1-2 and ≥ 3 limitations. Medical debt was defined as self-reported unpaid medical bills. Credit card debt was defined as revolving credit card debt. Multivariable logistic regression analyses were performed. RESULTS: Credit card debt was more common than medical debt (39.8% vs. 7.6% of cancer survivor families). Families of male cancer survivors were 7.3 percentage points more likely to have medical debt and 16.0 percentage points less likely to have credit card debt compared to families of female cancer survivors. Whereas male cancer survivors with increasing levels of impairment were 24.7 percentage point (p-value = 0.006) more likely to have medical debt, female survivors with more functional impairment were 13.6 percentage points (p-value = 0.010) more likely to have credit card debt. CONCLUSIONS: More research on medical and credit card debt burden among cancer survivors with functional limitations is needed.

Emotional barriers and facilitators of deprescribing for older adults with cancer and polypharmacy: a qualitative study.

PURPOSE: To describe emotional barriers and facilitators to deprescribing (the planned reduction or discontinuation of medications) in older adults with cancer and polypharmacy. METHODS: Virtual focus groups were conducted over Zoom with 5 key informant groups: oncologists, oncology nurses, primary care physicians, pharmacists, and patients. All groups were video- and audio-recorded and transcribed verbatim. Focus group transcripts were analyzed using inductive content analysis, and open coding was performed by two coders. A codebook was generated based on the initial round of open coding and updated throughout the analytic process. Codes and themes were discussed for each transcript until consensus was reached. Emotion coding (identifying text segments expressing emotion, naming the emotion, and assigning a label of positive or negative) was performed by both coders to validate the open coding findings. RESULTS: All groups agreed that polypharmacy is a significant problem. For clinicians, emotional barriers to deprescribing include fear of moral judgment from patients and colleagues, frustration toward patients, and feelings of incompetence. Oncologists and patients expressed ambivalence about deprescribing due to role expectations that physicians "heal with med[ication]s." Emotional facilitators of deprescribing included the involvement of pharmacists, who were perceived to be neutral, discerning experts. Pharmacists described emotionally aware communication strategies when discussing deprescribing with other clinicians and expressed increased awareness of patient context. CONCLUSION: Deprescribing can elicit strong and predominantly negative emotions among clinicians and patients which could inhibit deprescribing interventions. The involvement of pharmacists in deprescribing interventions could mitigate these emotional barriers. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05046171 . Date of registration: September 16, 2021.

Feasibility and Acceptability of an Online Oncologist Training to Optimize Oncologist-Patient Communication and Value-Concordant Care in Advanced Cancer.

Introduction: This pilot study tested the feasibility and acceptability of a low-resource-intensive scalable online communication training designed to improve oncologists' skills in prognostic and value-concordant care discussions with advanced cancer patients. Methods: The training consisted of on-demand videos on how to convey prognostic information, manage patient emotions, and elicit patient values and incorporate these values into treatment decision making. Post-intervention, oncologists reported on their perceptions of the training. Results: Fifteen oncologists were enrolled, of whom, 13 completed the training, and 14 completed post-intervention interviews. Most oncologists reported the intervention was acceptable: 92.9% indicated the intervention was "moderately" to "very helpful"; 78.6% rated it as "somewhat" to "very much" impactful on their communication with patients. Conclusions: The present self-paced online communication training was acceptable to oncologists, supporting additional research, including evaluating intervention efficacy for improving oncologists' communication skills and value-concordant care in advanced cancer.

Palliative Care Interventions Effects on Psychological Distress: A Systematic Review & Meta-Analysis.

BACKGROUND: Managing psychological distress is an objective of palliative care. No meta-analysis has evaluated whether palliative care reduces psychological distress. OBJECTIVES: Examine the effects of palliative care on depression, anxiety, and general psychological distress for adults with life-limiting illnesses and their caregivers. DESIGN: We searched PubMed, PsycInfo, Embase, and CINAHL for randomized clinical trials (RCTs) of palliative care interventions. RCTs were included if they enrolled adults with life-limiting illnesses or their caregivers, reported data on psychological distress at 3 months after study intake, and if authors had described the intervention as "palliative care." RESULTS: We identified 38 RCTs meeting our inclusion criteria. Many (14/38) included studies excluded participants with common mental health conditions. There were no statistically significant improvements in patient or caregiver anxiety (patient SMD: -0.008, P = 0.96; caregiver SMD: -0.21, P = 0.79), depression (patient SMD: -0.13, P = 0.25; caregiver SMD -0.27, P = 0.08), or psychological distress (patient SMD: 0.26, P = 0.59; caregiver SMD: 0.04, P = 0.78). CONCLUSIONS: Psychological distress is not likely to be reduced in the context of a typical palliative care intervention. The systemic exclusion of patients with common mental health conditions in more than 1/3 of the studies raises ethical questions about the goals of palliative care RCTS and could perpetuate inequalities.

Effects of a Geriatric Assessment Intervention on Patient-Reported Symptomatic Toxicity in Older Adults With Advanced Cancer.

PURPOSE: Providing a geriatric assessment (GA) summary with management recommendations to oncologists reduces clinician-rated toxicity in older patients with advanced cancer receiving treatment. This secondary analysis of a national cluster randomized clinical trial (ClinicalTrials.gov identifier: NCT02054741) aims to assess the effects of a GA intervention on symptomatic toxicity measured by Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE). METHODS: From 2014 to 2019, the study enrolled patients age ≥ 70 years, with advanced solid tumors or lymphoma and ≥ 1 GA domain impairment, who were initiating a regimen with high prevalence of toxicity. Patients completed PRO-CTCAEs, including the severity of 24 symptoms (11 classified as core symptoms) at enrollment, 4-6 weeks, 3 months, and 6 months. Symptoms were scored as grade ≥ 2 (at least moderate) and grade ≥ 3 (severe/very severe). Symptomatic toxicity was determined by an increase in severity during treatment. A generalized estimating equation model was used to assess the effects of the GA intervention on symptomatic toxicity. RESULTS: Mean age was 77 years (range, 70-96 years), 43% were female, and 88% were White, 59% had GI or lung cancers, and 27% received prior chemotherapy. In 706 patients who provided PRO-CTCAEs at baseline, 86.1% reported at least one moderate symptom and 49.7% reported severe/very severe symptoms at regimen initiation. In 623 patients with follow-up PRO-CTCAE data, compared with usual care, fewer patients in the GA intervention arm reported grade ≥ 2 symptomatic toxicity (overall: 88.9% v 94.8%, P = .035; core symptoms: 83.4% v 91.7%, P = .001). The results for grade ≥ 3 toxicity were comparable but not significant (P > .05). CONCLUSION: In the presence of a high baseline symptom burden, a GA intervention for older patients with advanced cancer reduces patient-reported symptomatic toxicity.

Spirituality and financial toxicity among Hispanic breast cancer survivors in New Jersey.

OBJECTIVE: Cancer survivors often incur significant out-of-pocket costs; this can result in financial toxicity, defined as the adverse financial impact of cancer due to direct or indirect costs related to the disease. There has been little research on whether spirituality is associated with the experience of financial toxicity. In this study, we tested the hypothesis that spirituality would be inversely associated with financial toxicity. METHODS: We evaluated these associations in a cross-sectional study of Hispanic breast cancer survivors (n = 102) identified through the New Jersey State Cancer Registry. Participants completed the FACIT-Sp-12, which has two spirituality subscales (meaning/peace; faith). Financial toxicity was assessed using the 11-item COST measure; lower scores suggest worse toxicity. In multivariable linear regression analyses, we examined the associations between spirituality scores and financial toxicity, adjusting for age, race, education, household income, and insurance status. RESULTS: The spirituality total score (ß = 0.49, 95% confidence interval (CI): 0.17, 0.8), meaning/peace subscale score (ß = 0.71, 95% CI: 0.12, 1.31), and faith (ß = 0.71, 95% CI: 0.2, 1.21) subscale score were all inversely associated with financial toxicity. CONCLUSIONS: Spirituality may be an important factor in ameliorating the detrimental effects of financial toxicity among Hispanic breast cancer survivors and should be considered in interventions for financial toxicity in this population.

Older patients' experiences following initial diagnosis of acute myeloid leukemia: A qualitative study.

INTRODUCTION: The onset of symptoms and the diagnosis of acute myeloid leukemia (AML) often occur suddenly and may lead to a range of emotional responses. Understanding patients' experiences and emotional states allows clinicians to tailor care to patients' needs. Previous studies have largely focused on patients' experiences at diagnosis and after remission has been achieved among those who received intensive chemotherapy. In this study, we evaluated experiences of older patients with AML who had received or were receiving treatments of varying intensity, in both outpatient and inpatient settings, and who were at different stages in their treatment course at the time of our interviews. MATERIALS AND METHODS: We conducted a single center qualitative study which aimed to understand factors influencing older patients' treatment decision-making and the findings were previously reported. This analysis specifically explored older patients' experiences at various stages after AML diagnosis. We purposively sampled patients based on treatment intensity and stage of treatment (undergoing induction treatment, post-remission treatment, or post-allogeneic hematopoietic stem cell transplant). We recruited fifteen patients aged ≥60 years with AML. The sample size was determined based on reaching data saturation for the primary study aim. For this analysis, data saturation was reached by the fourteenth manuscript. In-depth semi-structured interviews that had been recorded and transcribed were re-analyzed using inductive thematic analysis to explore patients' experiences. Coding was performed using Atlas.ti. We identified themes with the aim of capturing the most commonly shared experiences. RESULTS: Mean age of the fifteen patients was 72.1 years; all had received one or more treatments including intensive induction therapy (10/15), lower-intensity treatment (7/15), and/or hematopoietic stem cell transplant (3/15). Patients experienced strong negative emotional responses, including shock, that were barriers to processing information and meaningful communication. Patients also shared their perspectives on communication with healthcare professionals (including thoughts on adequacy of information provided) and coping strategies. DISCUSSION: Understanding older patients' experiences, including emotional responses and barriers to communication and decision making, at AML diagnosis and throughout the illness trajectory allows clinicians to address patients' supportive care needs during this difficult period.

Disease and debt: Findings from the 2019 Panel Study of Income Dynamics in the United States.

Medical debt has grown dramatically over the past few decades. While cancer and diabetes are known to be associated with medical debt, little is known about the impact of other medical conditions and health behaviors on medical debt. We analyzed cross-sectional data on 9174 households - spanning lower-income, middle-income, and higher-income based on the Census poverty threshold - participating in the 2019 wave of the nationally representative United States Panel Study of Income Dynamics (PSID). The outcomes were presence of any medical debt and presence of medical debt≥ $2000. Respondents reported on medical conditions (diabetes, cancer, heart disease, chronic lung disease, asthma, arthritis, anxiety disorders, mood disorders) and on health behaviors (smoking, heavy drinking). Medical debt was observed in lower-income households with heart disease (OR = 2.64, p-value = 0.006) and anxiety disorders (OR = 2.16, p-value = 0.02); middle-income households with chronic lung disease (OR = 1.73, p-value = 0.03) and mood disorders (OR = 1.53, p-value = 0.04); and higher-income households with a current smoker (OR = 2.99, p-value<0.001). Additionally, medical debt ≥$2000 was observed in lower-income households with asthma (OR = 2.16, p-value = 0.009) and a current smoker (OR = 1.62, p-value = 0.04); middle income households with hypertension (OR = 1.65, p-value = 0.05). These novel findings suggest that the harms of medical debt extend beyond cancer, diabetes and beyond lower-income households. There is an urgent need for policy and health services interventions to address medical debt in a wider range of disease contexts than heretofore envisioned. Intervention development would benefit from novel conceptual frameworks on the causal relationships between health behaviors, health conditions, and medical debt that center social-ecological influences on all three of these domains.

Older adults with advanced cancer are selective in sharing and seeking information with social networks.

BACKGROUND: Little is known about how older adults (OA) with advanced cancer interact with social network members (NM), and the nature of communication. This qualitative study aimed to characterize the processes by which OAs with cancer engage with NMs regarding their illness. METHODS: OAs 65 + with advanced cancer and considering treatment (n = 29) and NMs (n = 18) underwent semi-structured interviews asking 1) about their illness understanding; 2) to identify NMs with whom OAs discuss health-related matters; and 3) to describe the content, process, and impact of those illness-related conversations. Three coders analyzed transcribed interviews. Codes were categorized and emergent themes were identified to generate hypotheses. RESULTS: OAs seek NMs with medical backgrounds for cancer-related information and NMs with personal experience of a serious illness for emotional support. Patients characterize geographical location, frequency of communication, and length of NM relationship as factors that influence the nature of support the NM provides. Additionally, differences emerged between OA and NM perspectives on the depth of conversations and decision-making. CONCLUSIONS: A better characterization of how OAs' seek and share information and support may improve medical communication, disease understanding, and support goals-concordant care.

Caregiver-oncologist prognostic concordance, caregiving esteem, and caregiver outcomes.

INTRODUCTION: Caregiver-oncologist concordance regarding the patient's prognosis is associated with worse caregiver outcomes (e.g., depressive symptoms), but mechanisms underpinning these associations are unclear. We explored whether caregiving esteem mediates these associations. METHODS: At enrollment, caregivers and oncologists used a 5-point ordinal scale to estimate patient survival; identical responses were considered concordant. At 4-6 weeks, caregivers completed an assessment of the extent to which caregiving imparts self-esteem (Caregiver Reaction Assessment self-esteem subscale; range 0-5; higher score indicates greater esteem). They also completed Patient Health Questionnaire-2 (PHQ-2) for depressive symptoms, Distress Thermometer, and 12-Item Short Form Survey for quality of life (QoL). Mediation analysis with bootstrapping (PROCESS macro by Hayes) was used to estimate the extent to which caregiving mediated the effects of prognostic concordance on caregiver outcomes through caregiving esteem. RESULTS: Prognostic concordance occurred in 28% the caregiver-oncologist dyads; 85% of the discordance were due to caregivers estimating a longer patient's survival. At 4-6 weeks, mean caregiving esteem score was 4.4 (range 1.5-5.0). Lower caregiving esteem mediated the associations of concordance with higher PHQ-2 [indirect effect = 0.12; 95% Confidence Interval (CI) 0.03, 0.27], greater distress (indirect effect =0.25; 95% CI 0.08, 0.48), and poorer QoL (indirect effect = -1.50; 95% CI -3.06, -0.41). Caregiving esteem partially mediated 39%, 64%, and 48% of the associations between caregiver-oncologist concordance and PHQ-2, distress, and SF-12, respectively. CONCLUSIONS: Caregiver-oncologist concordance was associated with lower caregiving esteem. Lower caregiving esteem mediated the negative relationship between caregiver-oncologist concordance and caregiver outcomes.

Association of Prognostic Understanding With Health Care Use Among Older Adults With Advanced Cancer: A Secondary Analysis of a Cluster Randomized Clinical Trial.

Importance: A poor prognostic understanding regarding curability is associated with lower odds of hospice use among patients with cancer. However, the association between poor prognostic understanding or prognostic discordance and health care use among older adults with advanced incurable cancers is not well characterized. Objective: To evaluate the association of poor prognostic understanding and patient-oncologist prognostic discordance with hospitalization and hospice use among older adults with advanced cancers. Design, Setting, and Participants: This was a post hoc secondary analysis of a cluster randomized clinical trial that recruited patients from October 29, 2014, to April 28, 2017. Data were collected from community oncology practices affiliated with the University of Rochester Cancer Center National Cancer Institute Community Oncology Research Program. The parent trial enrolled 541 patients who were aged 70 years or older and were receiving or considering any line of cancer treatment for incurable solid tumors or lymphomas; the patients' oncologists and caregivers (if available) were also enrolled. Patients were followed up for at least 1 year. Data were analyzed from January 3 to 16, 2021. Main Outcomes and Measures: At enrollment, patients and oncologists were asked about their beliefs regarding cancer curability (100%, >50%, 50%, <50%, and 0%; answers other than 0% reflected poor prognostic understanding) and life expectancy (≤6 months, 7-12 months, 1-2 years, 2-5 years, and >5 years; answers of >5 years reflected poor prognostic understanding). Any difference between oncologist and patient in response options was considered discordant. Outcomes were any hospitalization and hospice use at 6 months captured by the clinical research associates. Results: Among the 541 patients, the mean (SD) age was 76.6 (5.2) years, 264 of 540 (49%) were female, and 486 of 540 (90%) were White. Poor prognostic understanding regarding curability was reported for 59% (206 of 348) of patients, and poor prognostic understanding regarding life expectancy estimates was reported for 41% (205 of 496) of patients. Approximately 60% (202 of 336) of patient-oncologist dyads were discordant regarding curability, and 72% (356 of 492) of patient-oncologist dyads were discordant regarding life expectancy estimates. Poor prognostic understanding regarding life expectancy estimates was associated with lower odds of hospice use (adjusted odds ratio, 0.30; 95% CI, 0.16-0.59). Discordance regarding life expectancy estimates was associated with greater odds of hospitalization (adjusted odds ratio, 1.64; 95% CI, 1.01-2.66). Conclusions and Relevance: This study highlights different constructs of prognostic understanding and the need to better understand the association between prognostic understanding and health care use among older adult patients with advanced cancer. Trial Registration: ClinicalTrials.gov Identifier: NCT02107443.

Patient, caregiver, and oncologist predictions of quality of life in advanced cancer: Accuracy and associations with end-of-life care and caregiver bereavement.

BACKGROUND: Informed treatment decision-making necessitates accurate prognostication, including predictions about quality of life. AIMS: We examined whether oncologists, patients with advanced cancer, and caregivers accurately predict patients' future quality of life and whether these predictions are prospectively associated with end-of-life care and bereavement. MATERIALS & METHODS: We conducted secondary analyses of clinical trial data. Patients with advanced cancer (n = 156), caregivers (n = 156), and oncologists (n = 38) predicted patient quality of life 3 months into the future. Patients subsequently rated their quality of life 3 months later. Medical record data documented chemotherapy and emergency department (ED)/inpatient visits in the 30 days before death (n = 79 decedents). Caregivers self-reported on depression, anxiety, grief, purpose, and regret 7-months post-mortem. In mixed-effects models, patient, caregiver, and oncologist quality-of-life predictions at study entry were used to predict end-of-life care and caregiver outcomes, controlling for patients' quality of life at 3-month follow-up, demographic and clinical characteristics, and nesting within oncologists. RESULTS: Caregivers (P < 0.0001) and oncologists (P = 0.001) predicted lower quality of life than what patients actually experienced. Among decedents, 24.0% received chemotherapy and 54.5% had an ED/inpatient visit. When caregivers' predictions were more negative, patients were less likely to receive chemotherapy (P = 0.028) or have an ED/inpatient visit (P = 0.033), and caregivers reported worse depression (P = 0.002), anxiety (P = 0.019), and grief (P = 0.028) and less purpose in life (P < 0.001) 7-months post-mortem. CONCLUSION: When caregivers have more negative expectations about patients' quality of life, patients receive less intensive end-of-life care, and caregivers report worse bereavement outcomes.

Life expectancy in older adults with advanced cancer: Evaluation of a geriatric assessment-based prognostic model.

OBJECTIVES: Oncologists estimate patients' prognosis to guide care. Evidence suggests oncologists tend to overestimate life expectancy, which can lead to care with questionable benefits. Information obtained from geriatric assessment may improve prognostication for older adults. In this study, we created a geriatric assessment-based prognostic model for older adults with advanced cancer and compared its performance to alternative models. MATERIALS AND METHODS: We conducted a secondary analysis of a trial (URCC 13070; PI: Mohile) capturing geriatric assessment and vital status up to one year for adults age ≥ 70 years with advanced cancer. Oncologists estimated life expectancy as 0-6 months, 7-12 months, and > 1 year. Three statistical models were developed: (1) a model including age, sex, cancer type, and stage (basic model), (2) basic model + Karnofsky Performance Status (≤50, 60-70, and 80+) (KPS model), and (3) basic model +16 binary indicators of geriatric assessment impairments (GA model). Cox regression was used to model one-year survival; c-indices and time-dependent c-statistics assessed model discrimination and stratified survival curves assessed model calibration. RESULTS: We included 484 participants; mean age was 75; 48% had gastrointestinal or lung cancer. Overall, 43% of patients died within one year. Oncologists classified prognosis accurately for 55% of patients, overestimated for 35%, and underestimated for 10%. C-indices were 0.61 (basic model), 0.62 (KPS model), and 0.63 (GA model). The GA model was well-calibrated. CONCLUSIONS: The GA model showed moderate discrimination for survival, similar to alternative models, but calibration was improved. Further research is needed to optimize geriatric assessment-based prognostic models for use in older adults with advanced cancer.

Evaluating the association of frailty with communication about aging-related concerns between older patients with advanced cancer and their oncologists.

BACKGROUND: A geriatric assessment (GA) intervention improves communication about aging-related concerns, but its effect on communication in patients with various levels of frailty is unknown. METHODS: This was a secondary analysis of a nationwide trial of patients aged ≥70 years with incurable cancer and impairment on 1 or more GA domains (ClinicalTrials.gov Identifier NCT02107443; principal investigator Supriya G. Mohile). Practice sites were randomized to either the GA-intervention or usual care. Frailty was assessed with a deficit accumulation index (range, 0-1), and patients were stratified as robust (0 to <0.2), prefrail (0.2 to <0.35), or frail (≥0.35). The clinic visit after the GA-intervention was audio-recorded, transcribed, and coded to evaluate the number and quality of conversations about aging-related concerns. Linear mixed models examined differences in the number and quality of conversations within and between arms. All P values were 2-sided. RESULTS: Patients (n = 541) were classified as robust (27%), prefrail (42%), or frail (31%). In the usual care arm, frail patients (vs robust ones) engaged in more aging-related conversations (adjusted mean difference, 1.73; 95% confidence interval [CI], 0.59-2.87), conversations of higher quality (difference, 1.12; 95% CI, 0.24-2.0), and more discussions about evidence-based recommendations (difference, 0.71; 95% CI, 0.04-1.38; all P values ≤ .01). Similarly, in the GA intervention arm, frail patients (vs robust ones) engaged in more aging-related conversations (difference, 2.49; 95% CI, 1.51-3.47), conversations of higher quality (difference, 1.31; 95% CI, 0.56-2.06), and more discussions about evidence-based recommendations (difference, 0.87; 95% CI, 0.32-1.42; all P values ≤ .01). Furthermore, the GA-intervention significantly improved the number and quality of conversations in all patients: robust, prefrail, and frail (all P values ≤ .01). CONCLUSIONS: Patients with higher degrees of frailty and those exposed to the GA-intervention had more and higher quality conversations about aging-related concerns with oncologists. LAY SUMMARY: A geriatric assessment (GA) intervention improves communication about aging-related concerns, but its effect on communication in patients with various levels of frailty is unknown. This study conducted a secondary analysis of a nationwide trial of patients aged ≥70 years with incurable cancer and 1 or more GA domain impairments. Patients were stratified as robust, prefrail, or frail. The number and quality of conversations about aging-related concerns that occurred during the clinic visit after the GA-intervention were determined. Patients with higher degrees of frailty and those in the GA intervention arm had more and higher quality conversations about aging-related concerns with oncologists.

Cancer prevention, risk reduction, and control: opportunities for the next decade of health care delivery research.

In this commentary, we discuss opportunities to optimize cancer care delivery in the next decade building from evidence and advancements in the conceptualization and implementation of multi-level translational behavioral interventions. We summarize critical issues and discoveries describing new directions for translational behavioral research in the coming decade based on the promise of the accelerated application of this evidence within learning health systems. To illustrate these advances, we discuss cancer prevention, risk reduction (particularly precision prevention and early detection), and cancer treatment and survivorship (particularly risk- and need-stratified comprehensive care) and propose opportunities to equitably improve outcomes while addressing clinician shortages and cross-system coordination. We also discuss the impacts of COVID-19 and potential advances of scientific knowledge in the context of existing evidence, the need for adaptation, and potential areas of innovation to meet the needs of converging crises (e.g., fragmented care, workforce shortages, ongoing pandemic) in cancer health care delivery. Finally, we discuss new areas for exploration by applying key lessons gleaned from implementation efforts guided by advances in behavioral health.

Association Between Caregiver-Oncologist Discordance in Patient's Life Expectancy Estimates and Caregiver Perceived Autonomy Support by the Oncologist.

BACKGROUND: Caregiver perceived autonomy support by the oncologist is important for caregiver well-being and may be affected by the patient's survival. We determined the association of caregiver-oncologist discordance in patient's life expectancy estimates with perceived autonomy support over time and whether the association differed by patient survival status. MATERIALS AND METHODS: We used data from a geriatric assessment cluster-randomized trial (URCC 13070) that recruited patients aged at least 70 years with incurable cancer considering or receiving treatment, their caregivers, and their oncologists. At baseline, caregivers and oncologists were asked to estimate patient's life expectancy (0-6 months, 7-12 months, 1-2 years, 2-5 years, and >5 years; any difference in response was considered discordant). At 4-6 weeks, 3 months, and 6 months, caregivers completed the Health Care Climate Questionnaire (HCCQ), which measured perceived autonomy support by the oncologist. Generalized estimating equation modeling was conducted to assess the association of baseline caregiver-oncologist discordance with longitudinal HCCQ scores, stratified by patient 6-month survival status. RESULTS: Discordant life expectancy estimates were present in 72.0% of dyads. In multivariate analyses, caregiver-oncologist discordance in patient's life expectancy estimates was associated with higher caregiver HCCQ scores. In stratified analysis, caregiver-oncologist discordance was associated with lower caregiver HCCQ scores (ß = -3.46; 95% CI, -4.64 to -2.29) among patients who died within 6 months but with higher caregiver HCCQ scores (ß = 1.33; 95% CI, 0.63-2.04) among patients who survived beyond 6 months. CONCLUSION: Interventions aimed at mitigating discordance need to consider its association with caregiver perceived autonomy support and patient's survival in order to better inform caregiver expectations. IMPLICATIONS FOR PRACTICE: Among patients who died within the first 6 months, caregivers who estimated a different length of life for the patient compared with oncologists were more likely to report lower support from the oncologist, whereas the opposite relationship was seen within patients who survived beyond the first 6 months. When designing interventions to improve caregiver understanding of the patient's prognosis, its relationship with caregiver-perceived support and patient's survival needs to be considered.