Younger Patients with Colon Cancer are More Likely to Experience Financial Toxicity Than Older Patients.

BACKGROUND: The incidence of young-onset colon cancer is increasing. This study investigated the extent to which financial hardships associated with colon cancer care are associated with patient age. METHODS: A consecutive sample of patients with non-metastatic colon cancer who underwent resection at a comprehensive cancer center between 2017 and 2019 were retrospectively enrolled from a clinical database. Patients with one or more of the following events associated with their colon cancer care were categorized as having experienced financial toxicity: two or more bills sent to collections, application for a payment plan, settlement, bankruptcy, or enrollment in a financial assistance program. RESULTS: Of 764 patients identified, 157 (21 %) experienced financial toxicity. In a univariable analysis, financial toxicity was significantly associated with younger age, female sex, nonpartnered marital status, and median income by ZIP code area (p < 0.05). A multivariable analysis showed that with each 10-year decrease in patient age, the odds of financial toxicity increased by 30 % (odds ratio [OR], 1.30; 95 % confidence interval [CI], 1.14-1.48). With each $50,000 decrease in median income by ZIP code area, the odds of financial toxicity increased by 35 % (OR, 1.35; 95 % CI, 1.05-1.74). CONCLUSIONS: Younger patients with colon cancer are at greater risk for financial toxicity than older patients. As this population continues to grow, so will the need for timely and effective financial support mechanisms.

Financial Toxicity Order Set: Implementing a Simple Intervention to Better Connect Patients With Resources.

PURPOSE: Financial toxicity of cancer treatment is well described in the literature, including characterizations of its risk factors, manifestations, and consequences. There is, however, limited research on interventions, particularly those at the hospital level, to address the issue. METHODS: From March 1, 2019, to February 28, 2022, a multidisciplinary team conducted a three-cycle Plan-Do-Study-Act (PDSA) process to develop, test, and implement an electronic medical record (EMR) order set to directly refer patients to a hospital-based financial assistance program. The cycles included an assessment of the efficacy of our current practice in connecting patients experiencing financial hardship with assistance, the development and piloting of the EMR referral order, and the broad implementation of the order set across our institution. RESULTS: In PDSA cycle 1, we found that approximately 25% of patients at our institution experienced some form of financial hardship, but most patients were not connected to available resources because of our referral mechanism. In PDSA cycle 2, the pilot referral order set was deemed feasible and received positive feedback. Over the 12-month study period (March 1, 2021-February 28, 2022) of PDSA cycle 3, 718 orders were placed for 670 unique patients across interdisciplinary providers from 55 treatment areas. These referrals resulted in at least $850,000 in US dollars (USD) in financial aid in 38 patients (mean = $22,368 USD). CONCLUSION: The findings from our three-cycle PDSA quality improvement project demonstrate the feasibility and efficacy of interdisciplinary efforts to develop a hospital-level financial toxicity intervention. A simple referral mechanism can empower providers to connect patients in need with available resources.

Association Between Remote Monitoring and Acute Care Visits in High-Risk Patients Initiating Intravenous Antineoplastic Therapy.

PURPOSE: Traditional oncology care models have not effectively identified and managed at-risk patients to prevent acute care. A next step is to harness advances in technology to enable patients to report symptoms any time, enabling digital hovering-intensive symptom monitoring and management. Our objective was to evaluate a digital platform that identifies and remotely monitors high-risk patients initiating antineoplastic therapy with the goal of preventing acute care visits. METHODS: This was a single-institution matched cohort quality improvement study conducted at a National Cancer Institute-designated cancer center between January 1, 2019, and March 31, 2020. Eligible patients were those initiating intravenous antineoplastic therapy who were identified as high risk for seeking acute care. Enrolled patients' symptoms were monitored using a digital platform. A dedicated team of clinicians managed reported symptoms. The primary outcomes of emergency department visits and hospitalizations within 6 months of treatment initiation were analyzed using cumulative incidence analyses with a competing risk of death. RESULTS: Eighty-one patients from the intervention arm were matched by stage and disease with contemporaneous high-risk control patients. The matched cohort had similar baseline characteristics. The cumulative incidence of an emergency department visit for the intervention cohort was 0.27 (95% CI, 0.17 to 0.37) at six months compared with 0.47 (95% CI, 0.36 to 0.58) in the control (P = .01) and of an inpatient admission was 0.23 (95% CI, 0.14 to 0.33) in the intervention cohort versus 0.41 (95% CI, 0.30 to 0.51) in the control (P = .02). CONCLUSION: The narrow employment of technology solutions to complex care delivery challenges in oncology can improve outcomes and innovate care. This program was a first step in using a digital platform and a remote team to improve symptom care for high-risk patients.

Analysis of a Remote Monitoring Program for Symptoms Among Adults With Cancer Receiving Antineoplastic Therapy.

IMPORTANCE: Electronic patient-reported outcomes (ePROs) may have the potential to improve cancer care delivery by enhancing patient quality of life, reducing acute care visits, and extending overall survival. However, the optimal cadence of ePRO assessments is unknown. OBJECTIVE: To determine patient response preferences and the clinical value associated with a daily cadence for ePROs for patients receiving antineoplastic treatment. DESIGN, SETTING, AND PARTICIPANTS: This quality improvement study of adult patients undergoing antineoplastic treatment assessed a remote monitoring program using ePROs that was developed to manage cancer therapy-related symptoms. ePRO data submitted between October 16, 2018 to February 29, 2020, from a single regional site within the Memorial Sloan Kettering Cancer Center network were included. Data were analyzed from April 2020 to January 2022. EXPOSURE: While undergoing active treatment, patients received a daily ePRO assessment that, based on patient responses, generated yellow (moderate) or red (severe) symptom alerts that were sent to clinicians. MAIN OUTCOMES AND MEASURES: The main outcomes assessed included patient response rate, symptom alert frequency, and an analysis of the clinical value of daily ePROs. RESULTS: A total of 217 patients (median [range] age, 66 [31-92] years; 103 [47.5%] women and 114 [52.5%] men) initiating antineoplastic therapy at high risk for symptoms were monitored for a median (range) of 91 (2-369) days. Most patients had thoracic (59 patients [27.2%]), head and neck (48 patients [22.1%]), or gastrointestinal (43 patients [19.8%]) malignant neoplasms. Of 14 603 unique symptom assessments completed, 7349 (50.3%) generated red or yellow symptom alerts. Symptoms commonly generating alerts included pain (665 assessments [23.0%]) and functional status (465 assessments [16.1%]). Most assessments (8438 assessments [57.8%]) were completed at home during regular clinic hours (ie, 9 am-5 pm), with higher response rates on weekdays (58.4%; 95% CI, 57.5%-59.5%) than on weekend days (51.3%; 95% CI, 49.5%-53.1%). Importantly, 284 of 630 unique red alerts (45.1%) surfaced without a prior yellow alert for the same symptom within the prior 7 days; symptom severity fluctuated over the course of a week, and symptom assessments generating a red alert were followed by an acute care visit within 7 days 8.7% of the time compared with 2.9% for assessments without a red alert. CONCLUSIONS AND RELEVANCE: These findings suggest that daily ePRO assessments were associated with increased insight into symptom management in patients undergoing antineoplastic treatment and symptom alerts were associated with risk of acute care.

Risk factors for financial toxicity in patients with gynecologic cancer.

BACKGROUND: The cost of cancer care is high and rising. Evidence of increased patient cost burden is prevalent in the medical literature and has been defined as "financial toxicity," the financial hardship and financial concerns experienced by patients because of a disease and its related treatments. With targeted therapies and growing out-of-pocket costs, patient financial toxicity is a growing concern among patients with gynecologic cancer. OBJECTIVE: This study aimed to determine the prevalence of financial toxicity and identify its risk factors in patients with gynecologic cancer treated at a large cancer center using objective data. STUDY DESIGN: Using institutional databases, we identified patients with gynecologic cancer treated from January 2016 to December 2018. Patients with a preinvasive disease were excluded. Financial toxicity was defined according to institutionally derived metrics as the presence of ≥1 of the following: ≥2 bills sent to collections, application or granting of a payment plan, settlement, bankruptcy, financial assistance program enrollment, or a finance-related social work visit. Clinical characteristics were gathered using a 2-year look-back from the time of the first financial toxicity event or a randomly selected treatment date for those not experiencing toxicity. Risk factors were assessed using chi-squared tests. All significant variables on univariate analysis were included in the logistic regression model. RESULTS: Of the 4655 patients included in the analysis, 1155 (25%) experienced financial toxicity. In the univariate analysis, cervical cancer (35%), stage 3 or 4 disease (24% and 30%, respectively), younger age (35% for age <30 years), nonpartnered marital status (31%), Black (45%) or Hispanic (37%) race and ethnicity, self-pay (48%) or commercial insurance (30%), clinical trial participation (31%), more imaging studies (39% for ≥9), ≥1 emergency department visit (36%), longer inpatient stays (36% for ≥20 days), and more outpatient clinician visits (41% for ≥20 visits) were significantly associated with financial toxicity (P<.01). In multivariate analysis, younger age, nonpartnered marital status, Black and Hispanic race and ethnicity, commercial insurance, more imaging studies, and more outpatient physician visits were significantly associated with financial toxicity. CONCLUSION: Financial toxicity is an increasing problem for patients with gynecologic cancer. Our analysis, using objective measures of financial toxicity, has suggested that demographic factors and healthcare utilization metrics may be used to proactively identify at-risk patients for financial toxicity.

InSight Care Pilot Program: Redefining Seeing a Patient.

PURPOSE: Early detection and management of symptoms in patients with cancer improves outcomes. However, the optimal approach to symptom monitoring and management is unknown. InSight Care is a mobile health intervention that captures symptom data and facilitates patient-provider communication to mitigate symptom escalation. PATIENTS AND METHODS: Patients initiating antineoplastic treatment at a Memorial Sloan Kettering regional location were eligible. Technology supporting the program included the following: a predictive model that identified patient risk for a potentially preventable acute care visit; a secure patient portal enabling communication, televisits, and daily delivery of patient symptom assessments; alerts for concerning symptoms; and a symptom-trending application. The main outcomes of the pilot were feasibility and acceptability evaluated through enrollment and response rates and symptom alerts, and perceived value evaluated on the basis of qualitative patient and provider interviews. RESULTS: The pilot program enrolled 100 high-risk patients with solid tumors and lymphoma (29% of new treatment starts v goal of 25%). Over 6 months of follow-up, the daily symptom assessment response rate was 56% (the goal was 50%), and 93% of patients generated a severe symptom alert. Patients and providers perceived value in the program, and archetypes were developed for program improvement. Enrolled patients were less likely to use acute care than were other high-risk patients. CONCLUSION: InSight Care was feasible and holds the potential to improve patient care and decrease facility-based care. Future work should focus on optimizing the cadence of patient assessments, the workforce supporting remote symptom management, and the return of symptom data to patients and clinical teams.

Building a Clinically Relevant Risk Model: Predicting Risk of a Potentially Preventable Acute Care Visit for Patients Starting Antineoplastic Treatment.

PURPOSE: To create a risk prediction model that identifies patients at high risk for a potentially preventable acute care visit (PPACV). PATIENTS AND METHODS: We developed a risk model that used electronic medical record data from initial visit to first antineoplastic administration for new patients at Memorial Sloan Kettering Cancer Center from January 2014 to September 2018. The final time-weighted least absolute shrinkage and selection operator model was chosen on the basis of clinical and statistical significance. The model was refined to predict risk on the basis of 270 clinically relevant data features spanning sociodemographics, malignancy and treatment characteristics, laboratory results, medical and social history, medications, and prior acute care encounters. The binary dependent variable was occurrence of a PPACV within the first 6 months of treatment. There were 8,067 observations for new-start antineoplastic therapy in our training set, 1,211 in the validation set, and 1,294 in the testing set. RESULTS: A total of 3,727 patients experienced a PPACV within 6 months of treatment start. Specific features that determined risk were surfaced in a web application, riskExplorer, to enable clinician review of patient-specific risk. The positive predictive value of a PPACV among patients in the top quartile of model risk was 42%. This quartile accounted for 35% of patients with PPACVs and 51% of potentially preventable inpatient bed days. The model C-statistic was 0.65. CONCLUSION: Our clinically relevant model identified the patients responsible for 35% of PPACVs and more than half of the inpatient beds used by the cohort. Additional research is needed to determine whether targeting these high-risk patients with symptom management interventions could improve care delivery by reducing PPACVs.

Misery Loves Company: Presenting Symptom Clusters to Urgent Care by Patients Receiving Antineoplastic Therapy.

PURPOSE: The Centers for Medicare & Medicaid Services (CMS) identifies suboptimal management of treatment toxicities as a care gap and proposes the measurement of hospital performance on the basis of emergency department visits for 10 common symptoms. Current management strategies do not address symptom co-occurrence. METHODS: We evaluated symptom co-occurrence in three patient cohorts that presented to a cancer hospital urgent care center in 2016. We examined both the CMS-identified symptoms and an expanded clinician-identified set defined as symptoms that could be safely managed in the outpatient setting if identified early and managed proactively. The cohorts included patients who presented with a CMS-defined symptom within 30 days of treatment, patients who presented within 30 days of treatment with a symptom from the expanded set, and patients who presented with a symptom from the expanded set within 30 days of treatment start. Symptom co-occurrence was measured by Jaccard index. A community detection algorithm was used to identify symptom clusters on the basis of a random walk process, and network visualizations were used to illustrate symptom dynamics. RESULTS: There were 6,429 presentations in the CMS symptom-defined cohort. The network analysis identified two distinct symptom clusters centered around pain and fever. In the expanded symptom cohort, there were 5,731 visits and six symptom clusters centered around fever, emesis/nausea, fatigue, deep vein thrombosis, pain, and ascites. For patients who newly initiated treatment, there were 1,154 visits and four symptom clusters centered around fever, nausea/emesis, fatigue, and deep vein thrombosis. CONCLUSION: Uncontrolled symptoms are associated with unplanned acute care. Recognition of the complexity of symptom co-occurrence can drive improved management strategies.

US healthcare costs attributable to type A and type B influenza.

While the overall healthcare burden of seasonal influenza in the United States (US) has been well characterized, the proportion of influenza burden attributable to type A and type B illness warrants further elucidation. The aim of this study was to estimate numbers of healthcare encounters and healthcare costs attributable to influenza viral strains A and B in the US during the 2001/2002 - 2008/2009 seasons. Healthcare encounters and costs in the US during the 2001/2002 - 2008/2009 seasons for influenza type A and influenza type B were estimated separately and collectively, by season and age group, based on data from published literature and secondary sources for: rates of influenza-related encounters requiring formal healthcare, unit costs of influenza-related healthcare encounters, and estimates of population size. Across 8 seasons, projected annual numbers of influenza-related healthcare encounters ranged from 11.3-25.6 million, and healthcare costs, from $2.0-$5.8 billion. While the majority of influenza illness was attributable to type A strains, type B strains accounted for 37% of healthcare costs across all seasons, and as much as 66% in a single season. The outpatient burden of type B disease was considerable among persons aged 18-64 y while the hospital cost burden was highest in young children. Influenza viral strain B was associated with considerable health system burden each year during the period of interest. Increasing influenza vaccine coverage, especially with the recently approved quadrivalent products including an additional type B strain, could potentially reduce overall annual influenza burden in the US.