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.

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.

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.

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 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.

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.

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.

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.

Financial hardship among cancer survivors in Southern New Jersey.

PURPOSE: To identify predictors of financial hardship, operationalized as foregoing health care, making financial sacrifices, and being concerned about having inadequate financial and insurance information. METHODS: Cancer survivors (n = 346) identified through the New Jersey State Cancer Registry were surveyed from August 2018 to September 2019. Multivariable logistic regression analyses were performed. RESULTS: Cancer survivors with household incomes less than $50,000 annually were more likely than those earning $50,0000-$90,000 to report foregoing health care (15.8 percentage points, p < 0.05). Compared to retirees, survivors who were currently unemployed, disabled, or were homemakers were more likely to forego doctor's visits (11.4 percentage points, p < 0.05), more likely to report borrowing money (16.1 percentage points, p < 0.01), and more likely to report wanting health insurance information (25.7 percentage points, p < 0.01). Employed survivors were more likely than retirees to forego health care (16.8 percentage points, p < 0.05) and make financial sacrifices (20.0 percentage points, p < 0.01). Survivors who never went to college were 9.8 percentage points (p < 0.05) more likely to borrow money compared to college graduates. Black survivors were more likely to want information about dealing with financial and insurance issues (p < 0.01); men were more likely to forego health care (p < 0.05). CONCLUSION: Findings highlight the role of employment status and suggest that education, income, race, and gender also shape cancer survivors' experience of financial hardship. There is a need to refine and extend financial navigation programs. For employed survivors, strengthening family leave policies would be desirable.

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 agreement on prognosis estimates for older adults with advanced cancer.

BACKGROUND: Disagreements between patients and caregivers about treatment benefits, care decisions, and patients' health are associated with increased patient depression as well as increased caregiver anxiety, distress, depression, and burden. Understanding the factors associated with disagreement may inform interventions to improve the aforementioned outcomes. METHODS: For this analysis, baseline data were obtained from a cluster-randomized geriatric assessment trial that recruited patients aged ≥70 years who had incurable cancer from community oncology practices (University of Rochester Cancer Center 13070; Supriya G. Mohile, principal investigator). Patient and caregiver dyads were asked to estimate the patient's prognosis. Response options were 0 to 6 months, 7 to 12 months, 1 to 2 years, 2 to 5 years, and >5 years. The dependent variable was categorized as exact agreement (reference), patient-reported longer estimate, or caregiver-reported longer estimate. The authors used generalized estimating equations with multinomial distribution to examine the factors associated with patient-caregiver prognostic estimates. Independent variables were selected using the purposeful selection method. RESULTS: Among 354 dyads (89% of screened patients were enrolled), 26% and 22% of patients and caregivers, respectively, reported a longer estimate. Compared with dyads that were in agreement, patients were more likely to report a longer estimate when they screened positive for polypharmacy (ß = 0.81; P = .001), and caregivers reported greater distress (ß = 0.12; P = .03). Compared with dyads that were in agreement, caregivers were more likely to report a longer estimate when patients screened positive for polypharmacy (ß = 0.82; P = .005) and had lower perceived self-efficacy in interacting with physicians (ß = -0.10; P = .008). CONCLUSIONS: Several patient and caregiver factors were associated with patient-caregiver disagreement about prognostic estimates. Future studies should examine the effects of prognostic disagreement on patient and caregiver outcomes.

Decisional involvement and information preferences of patients with hematologic malignancies.

Understanding decisional involvement and information preferences in patients with hematologic malignancies may help to optimize physician-patient communication about treatment decisions and align the decision-making processes with patients' preferences. We described and examined factors associated with preferences of patients with hematologic malignancies for decisional involvement, information sources, and presentation of information. In a multicenter observational study, we recruited 216 patients with hematologic malignancies of any stage from September 2003 to June 2007. Patients were asked about their decisional involvement preferences (Control Preferences Scale), information sources (including most useful source of information), and preferences for their oncologists' presentation of treatment success information. We used multivariate logistic regressions to identify factors associated with decisional involvement preferences and usefulness of information sources (physicians vs nonphysicians). Patient-directed, shared, and physician-directed approaches were preferred in 34%, 38%, and 28% of patients, respectively. Physicians and computer/Internet were the most common information sources; 42% perceived physicians as the most useful source. On multivariate analysis, patients with less than a college education (vs postgraduate education) were less likely to perceive their physician as the most useful source (adjusted odds ratio [AOR], 0.46; 95% confidence interval (CI), 0.21-1.00), whereas patients with acute leukemia (vs other blood cancers) were more likely to perceive their physician as the most useful source (AOR, 2.49; 95% CI, 1.07-5.80). In terms of communicating treatment success rates, 70% preferred ≥1 method(s), and 88% preferred presentation in percentages. Our study suggests that decisional involvement and information preferences vary and should be assessed explicitly as part of each decision-making encounter.

Perceived importance of affective forecasting in cancer treatment decision making.

PURPOSE: To examine whether adults with cancer view affective forecasting as important for treatment decisions, and to examine these perceptions among key subgroups. DESIGN: Adults with cancer (N = 376) completed a cross-sectional survey that included demographic and clinical characteristics, the IPIP five-factor personality measure, and a rating of the perceived importance of affective forecasting for cancer treatment decisions. Descriptive statistics characterized the importance of affective forecasting. Multivariate analyses examined whether health and personality variables were associated with affective forecasting importance. FINDINGS: Most participants (89.6%) identified affective forecasting as important for treatment decisions. Affective forecasting was more likely to be rated as important among patients with prostate cancer (p < .001), patients lower in neuroticism (p = .02), and patients higher in agreeableness (p = .004). Conclusions/Implications: Patients believe it is important to understand how treatments will impact their emotional well-being. Oncology clinicians should discuss with patients these consequences during healthcare decision-making.