Prevalence of lifestyle-related behavioral information in claims data in the U.S.

OBJECTIVE: Given their association with varying health risks, lifestyle-related behaviors are essential to consider in population-level disease prevention. Health insurance claims are a key source of information for population health analytics, but the availability of lifestyle information within claims data is unknown. Our goal was to assess the availability and prevalence of data items that describe lifestyle behaviors across several domains within a large U.S. claims database. METHODS: We conducted a retrospective, descriptive analysis to determine the availability of the following claims-derived lifestyle domains: nutrition, eating habits, physical activity, weight status, emotional wellness, sleep, tobacco use, and substance use. To define these domains, we applied a serial review process with three physicians to identify relevant diagnosis and procedure codes within claims for each domain. We used enrollment files and medical claims from a large national U.S. health plan to identify lifestyle relevant codes filed between 2016 and 2020. We calculated the annual prevalence of each claims-derived lifestyle domain and the proportion of patients by count within each domain. RESULTS: Approximately half of all members within the sample had claims information that identified at least one lifestyle domain (2016 = 41.9%; 2017 = 46.1%; 2018 = 49.6%; 2019 = 52.5%; 2020 = 50.6% of patients). Most commonly identified domains were weight status (19.9-30.7% across years), nutrition (13.3-17.8%), and tobacco use (7.9-9.8%). CONCLUSION: Our study demonstrates the feasibility of using claims data to identify key lifestyle behaviors. Additional research is needed to confirm the accuracy and validity of our approach and determine its use in population-level disease prevention.

Latent Class Analysis of Social Needs in Medicaid Population and Its Impact on Risk Adjustment Models.

BACKGROUND: A growing number of US states are implementing programs to address the social needs (SNs) of their Medicaid populations through managed care contracts. Incorporating SN might also improve risk adjustment methods used to reimburse Medicaid providers. OBJECTIVES: Identify classes of SN present within the Medicaid population and evaluate the performance improvement in risk adjustment models of health care utilization and cost after incorporating SN classes. RESEARCH DESIGN: A secondary analysis of Medicaid patients during the years 2018 and 2019. Latent class analysis (LCA) was used to identify SN classes. To evaluate the impact of SN classes on measures of hospitalization, emergency (ED) visits, and costs, logistic and linear regression modeling for concurrent and prospective years was used. Model performance was assessed before and after incorporating these SN classes to base models controlling for demographics and comorbidities. SUBJECTS: 262,325 Medicaid managed care program patients associated with a large urban academic medical center. RESULTS: 7.8% of the study population had at least one SN, with the most prevalent being related to safety (3.9%). Four classes of SN were determined to be optimal based on LCA, including stress-related needs, safety-related needs, access to health care-related needs, and socioeconomic status-related needs. The addition of SN classes improved the performance of concurrent base models' AUC (0.61 vs. 0.58 for predicting ED visits and 0.61 vs. 0.58 for projecting hospitalizations). CONCLUSIONS: Incorporating SN clusters significantly improved risk adjustment models of health care utilization and costs in the study population. Further investigation into the predictive value of SN for costs and utilization in different Medicaid populations is merited.

Patterns of Morbidity Across the Lifespan: A Population Segmentation Framework for Classifying Health Care Needs for All Ages.

BACKGROUND: Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision. OBJECTIVE: To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan. RESEARCH DESIGN AND SUBJECTS: Cross-sectional analyses using insurance claims database for 3.31 Million commercially insured and 1.05 Million Medicaid enrollees under 65 years old; and 5.27 Million Medicare fee-for-service beneficiaries aged 65 and older. MEASURES: The "Patient Need Groups" (PNGs) framework, we developed, classifies each person within the entire 0-100+ aged population into one of 11 mutually exclusive need-based categories. For each PNG segment, we documented a range of clinical and resource endpoints, including health care resource use, avoidable emergency department visits, hospitalizations, behavioral health conditions, and social need factors. RESULTS: The PNG categories included: (1) nonuser, (2) low-need child, (3) low-need adult, (4) low-complexity multimorbidity, (5) medium-complexity multimorbidity, (6) low-complexity pregnancy, (7) high-complexity pregnancy, (8) dominant psychiatric/behavioral condition, (9) dominant major chronic condition, (10) high-complexity multimorbidity, and (11) frailty. Each PNG evidenced a characteristic age-related trajectory across the full lifespan. In addition to offering clinically cogent groupings, large percentages (29%-62%) of patients in two pregnancy and high-complexity multimorbidity and frailty PNGs were in a high-risk subgroup (upper 10%) of potential future health care utilization. CONCLUSIONS: The PNG population segmentation approach represents a comprehensive measurement framework that captures and categorizes available electronic health care data to characterize individuals of all ages based on their needs.

Assessing Patient and Community-Level Social Factors; The Synergistic Effect of Social Needs and Social Determinants of Health on Healthcare Utilization at a Multilevel Academic Healthcare System.

We investigated the role of both individual-level social needs and community-level social determinants of health (SDOH) in explaining emergency department (ED) utilization rates. We also assessed the potential synergies between the two levels of analysis and their combined effect on patterns of ED visits. We extracted electronic health record (EHR) data between July 2016 and June 2020 for 1,308,598 unique Maryland residents who received care at Johns Hopkins Health System, of which 28,937 (2.2%) patients had at least one documented social need. There was a negative correlation between median household income in a neighborhood with having a social need such as financial resource strain, food insecurity, and residential instability (correlation coefficient: -0.05, -0.01, and - 0.06, p = 0, respectively). In a multilevel model with random effects after adjusting for other factors, living in a more disadvantaged neighborhood was found to be significantly associated with ED utilization statewide and within Baltimore City (OR: 1.005, 95% CI: 1.003-1.007 and 1.020, 95% CI: 1.017-1.022, respectively). However, individual-level social needs appeared to enhance the statewide effect of living in a more disadvantaged neighborhood with the OR for the interaction term between social needs and SDOH being larger, and more positive, than SDOH alone (OR: 1.012, 95% CI: 1.011-1.014). No such moderation was found in Baltimore City. To our knowledge, this study is one of the first attempts by a major academic healthcare system to assess the combined impact of patient-level social needs in association with community-level SDOH on healthcare utilization and can serve as a baseline for future studies using EHR data linked to population-level data to assess such synergistic association.

Tobacco Smoking and Pack-Years Are Associated With Frailty Among People With HIV.

BACKGROUND: Tobacco smoking increases frailty risk among the general population and is common among people with HIV (PWH) who experience higher rates of frailty at younger ages than the general population. METHODS: We identified 8608 PWH across 6 Centers for AIDS Research Network of Integrated Clinical Systems sites who completed ≥2 patient-reported outcome assessments, including a frailty phenotype measuring unintentional weight loss, poor mobility, fatigue, and inactivity, and scored 0-4. Smoking was measured as baseline pack-years and time-updated never, former, or current use with cigarettes/day. We used Cox models to associate smoking with risk of incident frailty (score ≥3) and deterioration (frailty score increase by ≥2 points), adjusted for demographics, antiretroviral medication, and time-updated CD4 count. RESULTS: The mean follow-up of PWH was 5.3 years (median: 5.0), the mean age at baseline was 45 years, 15% were female, and 52% were non-White. At baseline, 60% reported current or former smoking. Current (HR: 1.79; 95% confidence interval: 1.54 to 2.08) and former (HR: 1.31; 95% confidence interval: 1.12 to 1.53) smoking were associated with higher incident frailty risk, as were higher pack-years. Current smoking (among younger PWH) and pack-years, but not former smoking, were associated with higher risk of deterioration. CONCLUSIONS: Among PWH, smoking status and duration are associated with incident and worsening frailty.

Development of Frail RISC-HIV: a Risk Score for Predicting Frailty Risk in the Short-term for Care of People with HIV.

OBJECTIVE: Frailty is common among people with HIV (PWH), so we developed frail risk in the short-term for care (RISC)-HIV, a frailty prediction risk score for HIV clinical decision-making. DESIGN: We followed PWH for up to 2 years to identify short-term predictors of becoming frail. METHODS: We predicted frailty risk among PWH at seven HIV clinics across the United States. A modified self-reported Fried Phenotype captured frailty, including fatigue, weight loss, inactivity, and poor mobility. PWH without frailty were separated into training and validation sets and followed until becoming frail or 2 years. Bayesian Model Averaging (BMA) and five-fold-cross-validation Lasso regression selected predictors of frailty. Predictors were selected by BMA if they had a greater than 45% probability of being in the best model and by Lasso if they minimized mean squared error. We included age, sex, and variables selected by both BMA and Lasso in Frail RISC-HIV by associating incident frailty with each selected variable in Cox models. Frail RISC-HIV performance was assessed in the validation set by Harrell's C and lift plots. RESULTS: Among 3170 PWH (training set), 7% developed frailty, whereas among 1510 PWH (validation set), 12% developed frailty. BMA and Lasso selected baseline frailty score, prescribed antidepressants, prescribed antiretroviral therapy, depressive symptomology, and current marijuana and illicit opioid use. Discrimination was acceptable in the validation set, with Harrell's C of 0.76 (95% confidence interval: 0.73-0.79) and sensitivity of 80% and specificity of 61% at a 5% frailty risk cutoff. CONCLUSIONS: Frail RISC-HIV is a simple, easily implemented tool to assist in classifying PWH at risk for frailty in clinics.

Validity Properties of a Self-reported Modified Frailty Phenotype Among People With HIV in Clinical Care in the United States.

ABSTRACT: Modifications to Fried's frailty phenotype (FFP) are common. We evaluated a self-reported modified frailty phenotype (Mod-FP) used among people with HIV (PWH). Among 522 PWH engaged in two longitudinal studies, we assessed validity of the four-item Mod-FP compared with the five-item FFP. We compared the phenotypes via receiver operator characteristic curves, agreement in classifying frailty, and criterion validity via association with having experienced falls. Mod-FP classified 8% of PWH as frail, whereas FFP classified 9%. The area under the receiver operator characteristic curve for Mod-FP classifying frailty was 0.93 (95% CI = 0.91-0.96). We observed kappa ranging from 0.64 (unweighted) to 0.75 (weighted) for categorizing frailty status. Both definitions found frailty associated with a greater odds of experiencing a fall; FFP estimated a slightly greater magnitude (i.e., OR) for the association than Mod-FP. The Mod-FP has good performance in measuring frailty among PWH and is reasonable to use when the gold standards of observed assessments (i.e., weakness and slowness) are not feasible.

Outcomes of Immune Checkpoint Inhibitor Administration in Hospitalized Patients With Solid Tumor Malignancies.

PURPOSE: More oncologists desire to treat their patients with immune checkpoint inhibitors (ICIs) in the inpatient setting as their use has become more widespread for numerous oncologic indications. This is cost-prohibitive to patients and institutions because of high drug cost and lack of reimbursement in the inpatient setting. We sought to examine current practice of inpatient ICI administration to determine if and in which clinical scenarios it may provide significant clinical benefit and therefore be warranted regardless of cost. METHODS: We conducted a retrospective chart review of adult patients who received at least one dose of an ICI for treatment of an active solid tumor malignancy during hospitalization at a single academic medical center between January 2017 and June 2018. Patient, disease, and admission characteristics including mortality data were examined, and cost analysis was performed. RESULTS: Sixty-five doses of ICIs were administered to 58 patients during the study period. Nearly 40% and 80% of patients died within 30 days and 180 days of ICI administration, respectively. There was a trend toward longer overall survival in patients with good prognostic factors including positive programmed death-ligand 1 (PD-L1) expression or microsatellite instability-high (MSI-H) status. Slightly over 70% of patients were discharged within 7 days of ICI administration. The total cost of inpatient ICI administration over the 18-month study period was $615,016 US dollars. CONCLUSION: Inpatient ICI administration is associated with high costs and poor outcomes in acutely ill hospitalized patients with advanced solid tumor malignancies and therefore should largely be avoided. Careful discharge planning to expedite outpatient treatment after discharge will be paramount in ensuring patients with good prognostic features who will benefit most from ICI therapy can be promptly treated in the outpatient setting as treating very close to discharge in the inpatient setting appears to be unnecessary, regardless of tumor features.

Associations between drug and alcohol use, smoking, and frailty among people with HIV across the United States in the current era of antiretroviral treatment.

OBJECTIVE: To examine associations between frailty and drug, alcohol, and tobacco use among a large diverse cohort of people with HIV (PWH) in clinical care in the current era. METHODS: PWH at 7 sites across the United States completed clinical assessments of patient-reported measures and outcomes between 2016 and 2019 as part of routine care including drug and alcohol use, smoking, and other domains. Frailty was assessed using 4 of the 5 components of the Fried frailty phenotype and PWH were categorized as not frail, pre-frail, or frail. Associations of substance use with frailty were assessed with multivariate Poisson regression. RESULTS: Among 9336 PWH, 43% were not frail, 44% were prefrail, and 13% were frail. Frailty was more prevalent among women, older PWH, and those reporting current use of drugs or cigarettes. Current methamphetamine use (1.26: 95% CI 1.07-1.48), current (1.65: 95% CI 1.39-1.97) and former (1.21:95% CI 1.06-1.36) illicit opioid use, and former cocaine/crack use (1.17: 95% CI 1.01-1.35) were associated with greater risk of being frail in adjusted analyses. Current smoking was associated with a 61% higher risk of being frail vs. not frail (1.61: 95% CI 1.41-1.85) in adjusted analyses. CONCLUSIONS: We found a high prevalence of prefrailty and frailty among a nationally distributed cohort of PWH in care. This study identified distinct risk factors that may be associated with frailty among PWH, many of which, such as cigarette smoking and drug use, are potentially modifiable.

Impact of Social Needs in Electronic Health Records and Claims on Health Care Utilization and Costs Risk-Adjustment Models Within Medicaid Population.

Patients enrolled in Medicaid have significantly higher social needs (SNs) than others. Using claims and electronic health records (EHRs) data, managed care organizations (MCOs) could systemically identify high-risk patients with SNs and develop population health management interventions. Impact of SNs on models predicting health care utilization and costs was assessed. This retrospective study included claims and EHRs data on 39,267 patients younger than age 65 years who were continuously enrolled during 2018-2019 in a Medicaid-managed care plan. SN marker was developed suggesting presence of International Classification of Diseases, 10th revision codes in any of the 5 SN domains. Impact of SN marker was compared across demographic and 2 diagnosis-based (ie, Charlson and Adjusted Clinical Groups risk score) prediction models of emergency department (ED) visit and hospitalizations, and total, medical, and pharmacy costs. After combining data sources, prevalence of documented SN marker increased from 11% and 13% to 18% of the study population across claims, EHRs, and both combined, respectively. SN marker improved predictions of demographic models for all utilization and total costs outcomes (area under the curve [AUC] of ED model increased from 0.57 to 0.61 and R2 of total cost model increased from 10.9 to 12.2). In both diagnosis-based models, adding SN marker marginally improved outcomes prediction (AUC of ED model increased from 0.65 to 0.66). This study demonstrated feasibility of using claims and EHRs data to systematically capture SNs and incorporate in prediction models that could enable MCOs and policy makers to adjust and develop effective population health interventions.

Assessment of Financial Toxicity Among Older Adults With Advanced Cancer.

Importance: Financial toxicity (FT), unintended and unanticipated financial burden experienced by cancer patients undergoing cancer care, is associated with negative consequences and increased risk of mortality. Older patients (≥70 years) with cancer are at risk for FT, yet data are limited on FT and whether oncologists discuss FT with their patients. Objective: To examine the prevalence of FT in older adults with advanced cancer, its association with health-related quality of life (HRQoL), and cost conversations between oncologists and patients. Design, Setting, and Participants: This cross-sectional secondary analysis was performed on baseline data from the Improving Communication in Older Cancer Patients and Their Caregivers study, a cluster randomized trial from 31 community oncology practices across the US that was conducted from October 29, 2014, to April 28, 2017. Participants included 536 patients with advanced cancer who answered 3 questions regarding financial toxicity. Data were analyzed from September 1, 2019, to May 1, 2020. Exposure: Older patients undergoing cancer care treatments. Main Outcomes and Measures: The main outcome looked at FT and its association with HRQoL. Three questions were used to identify patients 70 years or older experiencing FT. Multivariable linear regression models were used to assess the independent associations of FT with HRQoL. A single audio-recorded clinic transcript was analyzed within 4 weeks of enrollment for patients with FT. The framework method was used to identify frequency and themes related to cost conversations. Results: This study evaluated 536 patients 70 years or older with advanced cancer. Ninety-eight patients (18.3%) reported FT; mean (SD) age was 76.4 (5.4) years; 59 (60.2%) were female, 14 (14.3%) were Black/African American, 91 (92.9%) were not employed, and 29 (29.6%) had Medicare as their sole insurance coverage. On multivariate regression analyses, FT was associated with higher levels of depression (ß = 0.81; 95% CI, 0.15-1.48), anxiety (ß = 1.67; 95% CI, 0.74-2.61), and distress (ß = 0.73; 95% CI, 0.08-1.39) and lower HRQoL (ß = -5.30; 95% CI, -8.92 to -1.69). Among those who reported FT, 49% had a conversation with their health care professional about costs. Most conversations (79%) were initiated by oncologists or patients. Four themes were generated from cost conversations: statements regarding cost of care, ability to afford medical prescriptions, indirect consequences associated with inability to work and provide for family, and cost burden in nontreatment domains. Conclusions and Relevance: In this study, among older adults with advanced cancer, FT is associated with worse HRQoL. Almost half of conversations among patients reporting FT demonstrated costs are being actively discussed. Resources and interventions are needed to manage FT.

Ensuring Effective Care Transition Communication: Implementation of an Electronic Medical Record-Based Tool for Improved Cancer Treatment Handoffs Between Clinic and Infusion Nurses.

PURPOSE: Ineffective handoffs contribute to gaps in patient care and medication errors, which jeopardize patient safety and lead to poor-quality care. The project aims are to develop and implement a standardized handoff process using an electronic medical record (EMR)-based tool to ensure optimal communication of treatment-related information for patients receiving cancer treatment between oncology nurses. METHODS: A multidisciplinary team convened to develop a standard and safe treatment handoff process. The intervention was developed over a series of phases using Plan-Do-Study-Act methodology, including current workflow process mapping; identifying gaps, limitations, and potential causes of ineffective handoffs; and prioritizing these using a Pareto chart. An EMR-based tool incorporating a standardized treatment handoff process was developed. Study outcomes included proportion of handoff-related medication errors, tool utilization, handoff completion, patient waiting time, and nurse satisfaction with tool. All outcomes were evaluated before and after the intervention over a 1-year period. RESULTS: The proportion of medication errors as a result of ineffective handoffs was reduced from 10 of 17 (60%) pre-intervention to 11 of 34 (32%) postintervention (P = .07). The EMR-based handoff tool was used in 9,274 of 10,910 (85%) patient treatment visits, and the handoff completion rate increased from 32% pre-intervention to 86% postintervention. Patient waiting time showed an average reduction of 2 minutes/patient/month. A majority of nurses reported that the new tool conveyed necessary information (85% of nurses) and was effective in preventing errors (81% of nurses). CONCLUSION: Multidisciplinary stakeholders guided the development and implementation of a standard handoff process and an EMR-based tool to optimize communication between nurses during patient transition. The intervention was associated with a reduction in the proportion of medication errors as the result of ineffective handoffs. In addition, the intervention improved communication between nurses.

Association Between Symptom Burden and Physical Function in Older Patients with Cancer.

OBJECTIVES: To evaluate the independent association between symptom burden and physical function impairment in older adults with cancer. DESIGN: Cross-sectional. SETTING: Two university-based geriatric oncology clinics. PARTICIPANTS: Patients with cancer aged 65 years or older who underwent evaluation with geriatric assessment (GA). MEASUREMENTS: Symptom burden was measured as a summary score of severity ratings (range = 0-10) of 10 commonly reported symptoms using a Clinical Symptom Inventory (CSI). Functional impairment was defined as the presence of one or more impairments of instrumental activities of daily living (IADLs), any significant physical activity limitation on the Medical Outcomes Survey (MOS), one or more recent falls in the previous 6 months, or a Short Physical Performance Battery (SPPB) score of 9 or less. Multivariate analysis evaluated the association between symptom burden and physical function impairment, adjusting for other clinical and sociodemographic variables. RESULTS: From 2011 to 2015, 359 patients with cancer and a median age of 81 years (range = 65-95 y) consented. The mean CSI score was 23.2 ± 20.5 with an observed range of 0 to 90. Patients in the highest quartile of symptom burden (N = 91; CSI score 52 ± 13) had a higher prevalence of IADL impairment (91% vs 51%), physical activity limitation (93% vs 65%), falls (55% vs 21%), and SPPB score of 9 or less (92% vs 69%) (all P values <.01) when compared with those in the bottom quartile (N = 81; CSI score: 2 ± 2). With each unit increase in CSI score, the odds of having IADL impairment, physical activity limitations, falls, and SPPB scores of 9 or less increased by 4.8%, 4.4%, 2.9%, and 2.5%, respectively (P < .05 for all results). CONCLUSIONS: In older patients with cancer, higher symptom burden is associated with functional impairment. Future studies are warranted to evaluate if improved symptom management can improve function in older cancer patients. J Am Geriatr Soc 67:998-1004, 2019.

Characterizing cancer cachexia in the geriatric oncology population.

OBJECTIVES: Cancer cachexia, characterized by weight loss and sarcopenia, leads to a decline in physical function and is associated with poorer survival. Cancer cachexia remains poorly described in older adults with cancer. This study aims to characterize cancer cachexia in older adults by assessing its prevalence utilizing standard definitions and evaluating associations with components of the geriatric assessment (GA) and survival. MATERIALS AND METHODS: Patients with cancer older than 65 years of age who underwent a GA and had baseline CT imaging were eligible in this cross-sectional study. Cancer cachexia was defined by the international consensus definition reported in 2011. Sarcopenia was measured using cross-sectional imaging and utilizing sex-specific cut-offs. Associations between cachexia, sarcopenia, and weight loss with survival and GA domains were explored. RESULTS: Mean age of 100 subjects was 79.9 years (66-95) and 65% met criteria for cancer cachexia. Cachexia was associated with impairment in instrumental activities of daily living (IADL) (p = .017); no significant association was found between sarcopenia or weight loss and IADL impairment. Cachexia was significantly associated with poorer survival (median 1.0 vs 2.1 years, p = .011). CONCLUSIONS: Cancer cachexia as defined by the international consensus definition is prevalent in older adults with cancer and is associated with functional impairment and decreased survival. Larger prospective studies are needed to further describe cancer cachexia in this population.

Elucidating the associations between sleep disturbance and depression, fatigue, and pain in older adults with cancer.

OBJECTIVES: Sleep disturbance is prevalent and often coexists with depression, fatigue, and pain in the cancer population. The aim of this study was to describe the prevalence of sleep disturbance with co-existing depression, fatigue, and pain in older patients with cancer. We also examined the associations of several socio-demographic and clinical variables with sleep disturbance. METHODS: This cross-sectional study consisted of 389 older patients with solid and hematologic malignancies who were referred to the Specialized Oncology Care & Research in the Elderly (SOCARE) clinics at the Universities of Rochester and Chicago between May 2011 and October 2015 and completed a sleep and geriatric assessment (that inquires about fatigue, pain, and depression). Multivariate logistic regression was used to identify variables associated with sleep disturbance. RESULTS: The prevalence of sleep disturbance was 40%. Of those with sleep disturbance (n = 154), 84% also had at least one of the other three symptoms (25% had one symptom, 38% had two symptoms, and 21% had three symptoms). Sleep disturbance was more likely to be reported in those with comorbidities (45% vs. 28%, P = 0.002), depression (49% vs. 36%, P = 0.015), fatigue (49% vs. 23%, P < 0.001), and pain (45% vs. 31%, P = 0.010). On multivariable analysis, only fatigue (adjusted odds ratio (AOR) 1.90, 95% CI 1.10-3.30, P = 0.020) was independently associated with sleep disturbance. CONCLUSIONS: Sleep disturbance is prevalent and often co-occurs with depression, fatigue, or pain in older patients with cancer. Fatigue was significantly associated with sleep disturbance and future studies should explore interventions that target sleep disturbance and fatigue.

Community Oncologists' Decision-Making for Treatment of Older Patients With Cancer.

Background: This study's objectives were to describe community oncologists' beliefs about and confidence with geriatric care and to determine whether geriatric-relevant information influences cancer treatment decisions. Methods: Community oncologists were recruited to participate in 2 multisite geriatric oncology trials. Participants shared their beliefs about and confidence in caring for older adults. They were also asked to make a first-line chemotherapy recommendation (combination vs single-agent vs no chemotherapy) for a hypothetical vignette of an older patient with advanced pancreatic cancer. Each oncologist received one randomly chosen vignette that varied on 3 variables: age (72/84 years), impaired function (yes/no), and cognitive impairment (yes/no). Other patient characteristics were held constant. Logistic regression models were used to identify associations between oncologist/vignette-patient characteristics and treatment decisions. Results: Oncologist response rate was 61% (n=305/498). Most oncologists agreed that "the care of older adults with cancer needs to be improved" (89%) and that "geriatrics training is essential" (72%). However, <25% were "very confident" in recognizing dementia or conducting a fall risk or functional assessment, and only 23% reported using the geriatric assessment in clinic. Each randomly varied patient characteristic was independently associated with the decision to treat: younger age (adjusted odds ratio [aOR], 5.01; 95% CI, 2.73-9.20), normal cognition (aOR, 5.42; 95% CI, 3.01-9.76), and being functionally intact (aOR, 3.85; 95% CI, 2.12-7.00). Accounting for all vignettes across all scenarios, 161 oncologists (52%) said they would offer chemotherapy. All variables were independently associated with prescribing single-agent over combination chemotherapy (older age: aOR, 3.22; 95% CI 1.43-7.25, impaired cognition: aOR, 3.13; 95% CI, 1.36-7.20, impaired function: aOR, 2.48; 95% CI, 1.12-5.72). Oncologists' characteristics were not associated with decisions about providing chemotherapy. Conclusion: Geriatric-relevant information, when available, strongly influences community oncologists' treatment decisions.

Geriatric assessment with management intervention in older adults with cancer: a randomized pilot study.

BACKGROUND: Older adults receiving cancer therapy have heightened risk for treatment-related toxicity. Geriatric assessment (GA) can identify impairments, which may contribute to vulnerability and adverse outcomes. GA management interventions can address these impairments and have the potential to improve outcomes when implemented. METHODS: We conducted a randomized pilot study comparing GA with management interventions versus usual care in patients with stage III/IV solid tumor malignancies (N = 71). In all patients, a trained coordinator conducted and scored a baseline GA with pre-determined cutoffs for impairment. For patients randomized to the intervention arm, an algorithm was used to identify GA management recommendations based upon identified impairments. Recommendations were relayed to the primary oncologist for implementation. GA was repeated at 3 months. The primary outcome was grade 3-5 chemotherapy toxicity. Secondary outcomes included feasibility, hospitalizations, dose reductions, dose delays, and early treatment discontinuation. RESULTS: The mean participant age was 76 (70-89). The total number of GA management recommendations relayed was 409, of which 35.4% were implemented by the primary oncologist. Incidence of grade 3-5 chemotherapy toxicity did not differ between the two groups. Prevalence of hospitalization, dose reductions, dose delays, and early treatment discontinuation also did not differ between the two groups. CONCLUSIONS: An algorithm can be used to guide GA management recommendations in older adults with cancer. However, reliance upon the primary oncologist for execution resulted in a low prevalence of implementation. Future work should aim to understand barriers to implementation and explore alternate models of implementing geriatric-focused care for older adults with cancer.

Associations of sleep disturbance with physical function and cognition in older adults with cancer.

PURPOSE: Although sleep disturbances are common in older adults, studies evaluating the prevalence of sleep disturbance and its influence on functional outcomes in older adults with cancer are few. In this study, we examined the prevalence of sleep disturbance and its association with physical function and cognition in older adults with cancer. METHODS: This is a cross-sectional study of patients who were referred and evaluated in the Specialized Oncology Care & Research in the Elderly (SOCARE) clinics at the Universities of Rochester and Chicago from May 2011 to October 2015. All patients underwent a geriatric assessment (GA) as part of their routine evaluation. Our final study cohort included patients who completed a sleep assessment and consented to the study. We collected demographics (age, sex, race, marital status, and education level) and clinical characteristics (depression, comorbidity, cancer type, and stage) from the GA and medical chart reviews. Presence of sleep disturbance was self-reported (yes/no). Physical function was assessed using Instrumental Activities of Daily Living (IADLs), physical activity (PA) survey, falls in the preceding 6 months, and Short Physical Performance Battery (SPPB). Cognition was screened using the Blessed Orientation-Memory-Concentration Test (impairment >4) or Montreal Cognitive Assessment (impairment <26). Bivariate and multivariable analyses were used to examine the associations between sleep disturbance with functional outcomes and cognition. RESULTS: We included 389 older patients. The prevalence of sleep disturbance was 40%. Sixty-eight percent had ≥1 IADL impairment, 76% had PA limitation, 37% had ≥1 fall, 70% had impairment on SPPB, and 47% screened positive for cognitive impairment. On bivariate analyses, sleep disturbance was associated with IADL impairment (odds ratio [OR] 1.96, 95% confidence interval [CI] 1.23-3.13, P = 0.005), and PA limitation (OR 2.43, 95% CI 1.38-4.28, P = 0.002). The associations remained significant on multivariable analyses. Sleep disturbance was not significantly associated with falls, impairment on SPPB, and performance on the cognitive screen. CONCLUSION: Sleep disturbance was associated with IADL impairment and PA limitation. It is important for oncologists to inquire about sleep problems, and these patients should also be screened for functional impairment if sleep disturbance was present.

Which better predicts mortality among older men, a prostate cancer (PCa) diagnosis or vulnerability on the Vulnerable Elders Survey (VES-13)? A retrospective cohort study.

OBJECTIVES: Older men with a prostate cancer (PCa) diagnosis face competing mortality risks. Little is known about the prevalence of vulnerability and predictors of mortality in this population compared to men without a PCa diagnosis. We examined the predictive utility of the Vulnerable Elders Survey (VES-13) for mortality in older men with a PCa diagnosis as compared to controls. MATERIALS AND METHODS: Men aged ≥65years from an urban geriatrics clinic completed the VES-13 between 2003 and 2008. Each patient with a PCa diagnosis was matched by age to five controls, resulting in 59 patients with a PCa diagnosis and 318 controls. Cox proportional hazard models were used to determine the association of a PCa diagnosis and vulnerability on the VES-13 with mortality. RESULTS AND CONCLUSIONS: The mean age for men with a PCa diagnosis and controls was 77.9years and 76.1years, respectively. Of those with a PCa diagnosis, 74.6% had no active disease or a rising PSA only. Regardless of PCa diagnosis, vulnerable individuals on the VES-13 were more likely to die during the study period (VES-13≥3: HR=4.46, p<0.01; VES13≥6: HR=3.77, p<0.01). Men with a PCa diagnosis were not more likely to die compared to age-matched controls (VES-13≥3: HR=1.14, p=0.59; VES13≥6: HR=1.06, p=0.83). Vulnerability for men with a PCa diagnosis was more predictive of mortality. Therefore, the assessment of vulnerability is important for establishing goals of care.