End of Life Outcomes Following Comfort Care Orders: A Single Center Experience.

Background: Few studies have explored the outcomes of patients placed on comfort care with respect to hospice disposition. The objective of this study was to perform a retrospective analysis of patients who transitioned to comfort care. Methods: We conducted a retrospective study of patients placed on the comfort care order set between July 1st, 2021, until June 30th, 2022. Each individual patient chart was then analyzed to collect multiple clinical variables. IRB approval was obtained as per institutional guidelines. Results: 541 patients were included in the analysis. An average of 1.5 patients were placed on comfort care a day. 424 (78.37%) patients died while in the hospital. The median time on comfort care was 1 day. For subspecialty and hospital medicine patients the median time was 2 days. 40% of non-ICU patients were discharged with hospice services. 60% of patients were in the intensive care unit (ICU) and spent a median of 2.33 hours on comfort care. 19% of these patients were on comfort care for over 12 hours. 94% of the patients placed on comfort care in the ICU died in the hospital as compared to 53% of subspecialty and 59% of hospital medicine patients. Conclusions: The majority of patients placed on comfort care died during their hospitalization demonstrating a real need for comprehensive end of life care and immediate hospice services. For those discharged with hospice services, they spent an excessive amount of time in the hospital waiting for services to be arranged.

Patient and caregiver perceptions of the possibility of home blood transfusions.

BACKGROUND: Patients with hematologic malignancies (HM) often develop transfusion dependence. The patient and caregiver burdens associated with the need for frequent transfusions are high. Home blood transfusions has the potential to reduce these burdens, but is not widely practiced in the United States. We designed a qualitative study to evaluate the patient and caregiver perceptions of the potential for a home blood transfusion program. STUDY DESIGN AND METHODS: Eligible patients included Adult (≥18 years) patients who were English speaking and met the definition for transfusion dependence within 3 months of study enrollment. We identified and interviewed eligible participants (patients and caregivers), using a semi-structured interview guide to elicit patient perceptions of the acceptability, barriers, and benefits related to home blood product transfusions. Interviews were audio recorded and transcribed. Results were imported into NVivo 12 (version 12; QSR International, Burlington, VT) for coding and analysis. RESULTS: We recruited participants until we reached thematic saturation, which occurred at 29 participants (20 patients, 9 caregivers). Among the 20 patient participants, nine had MDS (45%) and 11 had acute leukemia (55%). Most of the patients (60%) reported getting one transfusion per week. Four themes emerged when the participants discussed their perception regarding the potential of a home blood transfusion program: (1) current in-person experience, (2) caregiver burden, (3) perceptions of home blood transfusions, and (4) interest in participating in a home blood transfusion program. CONCLUSION: The concept of home blood transfusions was well received and further research to study its implementation is warranted.

Impacting T-cell fitness in multiple myeloma: potential roles for selinexor and XPO1 inhibitors.

Competent T-cells with sufficient levels of fitness combat cancer formation and progression. In multiple myeloma (MM), T-cell exhaustion is caused by several factors including tumor burden, constant immune activation due to chronic disease, age, nutritional status, and certain MM treatments such as alkylating agents and proteasome inhibitors. Many currently used therapies, including bispecific T-cell engagers, anti-CD38 antibodies, proteasome inhibitors, and CART-cells, directly or indirectly depend on the anti-cancer activity of T-cells. Reduced T-cell fitness not only diminishes immune defenses, increasing patient susceptibility to opportunistic infections, but can impact effectiveness MM therapy effectiveness, bringing into focus sequencing strategies that could modulate T-cell fitness and potentially optimize overall benefit and clinical outcomes. Certain targeted agents used to treat MM, such as selective inhibitors of nuclear export (SINE) compounds, have the potential to mitigate T-cell exhaustion. Herein referred to as XPO1 inhibitors, SINE compounds inhibit the nuclear export protein exportin 1 (XPO1), which leads to nuclear retention and activation of tumor suppressor proteins and downregulation of oncoprotein expression. The XPO1 inhibitors selinexor and eltanexor reduced T-cell exhaustion in cell lines and animal models, suggesting their potential role in revitalizating these key effector cells. Additional clinical studies are needed to understand how T-cell fitness is impacted by diseases and therapeutic factors in MM, to potentially facilitate the optimal use of available treatments that depend on, and impact, T-cell function. This review summarizes the importance of T-cell fitness and the potential to optimize treatment using T-cell engaging therapies with a focus on XPO1 inhibitors.

Utility of Respiratory Pathogen Panels in the Outpatient Oncology Setting.

Oncology patients presenting for outpatient evaluation of a respiratory tract infection (RTI) are often tested for a variety of viruses with a respiratory pathogen panel (RPP) in addition to influenza and SARS-CoV-2. This triad of testing is expensive and uncomfortable because it requires 2 nasal swabs. Little evidence supports the use of an RPP in outpatient settings, but it is routinely ordered. This retrospective chart review analyzed 183 RPPs performed at Jefferson between April 2020 and November 2021 in outpatient oncology patients presenting with RTI. Data collected included patient demographics, symptoms, and exam findings at time of RPP, additional testing completed, results of RPP, antibiotic and antiviral use before and after RPP results, and patient outcomes 30 days after RPP. Descriptive statistics were calculated. Of the 183 RPPs analyzed, 16.9% (31) were positive for at least 1 respiratory virus. Fifty-two patients (28.4%) started antibiotics before results of the RPP. Of those, 2 patients (3.8%) had a change in antibiotic plan after RPP results returned. Zero patients were started on antiviral medication before results of the RPP. One patient started antiviral treatment after RPP results returned. In total, only 3 patients (1.6%) had an RPP-driven change in medication management. This study suggests limited utility in use of RPPs for oncology patients presenting to the office with RTI symptoms. Targeted testing with a single nasal swab for influenza, RSV, and SARS-CoV-2 may be more clinically relevant. The authors hope to use these data to implement a quality improvement initiative to reduce RPP utilization in this population.

Racial and Ethnic Differences in the Use of Electronic Medical Record Messaging Among Patients With Breast Cancer: A Quality Improvement Study.

INTRODUCTION: Despite evidence that use of electronic medical record (EMR) messaging positively impacts patients with cancer, there is little research on utilization patterns. The objective of this study is to describe the use of EMR messaging among breast cancer patients so that future interventions may be developed and targeted appropriately. MATERIALS AND METHODS: Sociodemographic and MyChart usage data were collected. Study eligibility included patients who completed a visit at an academic breast center and sent at least one message to a provider during the study period (May 2021-May 2022). Chi-square and t-tests were used to describe differences between users and nonusers of EMR messaging. ANOVA and chi-square were used to describe differences between race/ethnicity. RESULTS: A total of 4069 patients with activated MyChart accounts were included in the analysis. About 3575 (87.9%) were messaging users and 494 (12.1%) were nonusers. The mean age of users was significantly lower compared to the nonusers (57.7 vs 61.2, P< .001). Compared to non-Hispanic White (NHW) individuals, non-Hispanic Black (NHB) (odds ratio [OR]: 0.38, CI [0.21, 0.37]) and Hispanic individuals (OR: 0.35, CI [0.22, 0.57]) were significantly less likely to use electronic messaging. There were statistically significant racial/ethnic differences in the types of messages sent among EMR users. CONCLUSION: Our study shows disparate EMR messaging utilization based on age, race, and primary language. As the availability of patient portals and electronic messaging increase, it is important to understand the barriers that patients face so that they can be addressed.

Delay in Time to Antibiotics for De Novo Inpatient Neutropenic Fever May Not Impact Overall Survival for Patients With a Cancer Diagnosis.

Neutropenic fever (NF) is an oncologic emergency for which expert consensus recommends that anti-pseudomonas antibiotics be administered within 60 minutes of detection. This study investigated whether delays in time to antibiotics (TTA) impacted overall survival (OS) for patients with hematological malignancies who developed inpatient NF via a retrospective cohort study of 187 de novo NF cases categorized by TTA (<1, 1-2, 2-3, 3-4 and >4 hours). OS at 180 days post-NF episode was compared using Kaplan-Meier estimates and multivariable Cox proportional hazards model. TTA did not significantly affect OS (P = 0.420). Patients with Charleston Comorbidity Indexes ≥3, a measure of overall health, had higher hazard (hazard ratio [HR] = 2.728, 95% confidence interval, 1.265-5.882, P = 0.010). TTA delays in the hospital may not be long enough to cause significant patient harm. Larger studies may be needed to detect small, but significant mortality differences.

A Prospective, Randomized Trial Examining the Use of G-CSF Versus No G-CSF in Patients Post-Autologous Transplantation.

Contemporary, prospective data regarding the impact of granulocyte-colony stimulating factor (G-CSF) on outcomes after autologous hematopoietic stem cell transplantation (Auto-HSCT) in an era when stem cell grafts are more qualitatively robust are limited. Recent retrospective analyses have not supported a beneficial effect of post-transplantation G-CSF use on major outcomes after Auto-HSCT leading to strategies to delay or eliminate the use of G-CSF altogether in this context. To test the hypothesis that the infusion of consistently higher doses of stem cells (defined as ≥4 × 106/kg) in Auto-HSCT will obviate the need for post-transplantation G-CSF. If so, the impact of withholding G-CSF will be noninferior to the use of G-CSF in terms of length of stay (LOS). The specific objectives were to conduct a prospective, randomized clinical trial primarily examining the impact of post-transplantation G-CSF on LOS, and secondarily on engraftment, infectious complications, antibiotic usage, and incidence of engraftment syndrome after Auto-HSCT in patients receiving versus not receiving G-CSF after Auto-HSCT. Patients with multiple myeloma or non-Hodgkin lymphoma (NHL) who underwent Pegfilgrastim plus Plerixafor-primed stem cell collection followed by Auto-HSCT were randomized to the G-CSF group (receive G-CSF starting at day 3 after Auto-HSCT) or the no G-CSF group (G-CSF withheld after Auto-HSCT). Seventy patients per arm were planned to demonstrate the primary endpoint of noninferiority in LOS between the G-CSF and the no G-CSF groups. Patient outcomes in the two groups were followed up and compared after Auto-HSCT, and an interim analysis for futility was planned when accrual reached 50%.The primary finding of this study was that despite only a 2-day longer median absolute neutrophil count (ANC) recovery in the no G-CSF arm (median 11 versus 13 days; P = .001), LOS was 4 days longer in patients not treated with G-CSF (median 11 days versus 15 days; P = .001). G-CSF use was associated with more robust incremental daily increases in ANC once recovered (P = .001), fewer days of febrile neutropenia (P = .001), and fewer days on antibiotics (P = .001), potentially contributing to this disproportionate finding. Inferiority in LOS in the no G-CSF group was demonstrated on the interim analysis, and the study was closed at the half-way point. There were no significant group differences in platelet recovery, documented infections, hospital readmissions, or overall survival at 1 year. Engraftment syndrome occurred in 54.3% of patients and was not related to G-CSF use. These results suggest that the increased LOS associated with the omission of G-CSF is largely due to concerns regarding the potential for infection in patients without a stable, recovered ANC in a hospital setting. Engraftment syndrome represented a significant source of febrile neutropenia further contributing to patient safety concerns and requires strategies to decrease its incidence. Infectious complications and death were not affected by the omission of G-CSF supporting a carefully monitored outpatient approach to Auto-HSCT in which white blood cell growth factor is eliminated or given as needed for documented infection. © 2023 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Antibody Response to SARS-CoV-2 Vaccination in Patients With Lymphoproliferative Disorders and Plasma Cell Dyscrasias: Anti-Lymphoma Therapy as a Predictive Biomarker of Response to Vaccination.

We retrospectively analyzed SARS-CoV-2 vaccination antibody responses in a cohort of 273 patients with lymphoproliferative disorders or plasma cell dyscrasias who were seen at a single tertiary cancer center. Semi-quantitative anti-spike protein serologic testing was performed with enzyme immunoassay method. We found that the antibody response rate to SARS-CoV-2 vaccination was 74.7% in our patient cohort with no difference based on gender, age or race. The highest response rate was found in patients with Multiple Myeloma (MM) (95.5%). The response rates found in Diffuse Large B-Cell Lymphoma (DLBCL), Chronic Lymphocytic Leukemia (CLL), and Low-Grade Non-Hodgkin Lymphoma (LG-NHL) were 73.2%, 61.5% and 53% respectively. We also evaluated the effects of receiving active chemo-immunotherapy on SARS-CoV-2 vaccination antibody response. We found that the patients on treatment had lower response than the patients off treatment (62.1% versus 84.4% p<0.001). Thirty-four of 58 LG-NHL patients were receiving anti-lymphoma treatment with a lower SARS-CoV-2 vaccination response as compared to the patients who were not on treatment (29.4% v 87.5% p<0.001). We observed a similar pattern in CLL patients receiving treatment (48.1 v 76.0 p:0.049). We found that only disease type and treatment status (on-treatment vs. off- treatment), but not gender, age or race were significant predictors of non-response in the multivariable logistic regression model. The interaction between disease type and treatment status was not statistically significant by multivariate analysis. In conclusion, receiving anti-cancer treatment was found to play a significant role in decreasing the response to COVID-19 vaccination.

Optimizing Utilization of Blood Products in the Hematologic Malignancy Clinic: Less Is More.

PURPOSE: There are no universal guidelines for blood product transfusions in patients with hematologic malignancies (HMs). Excess utilization of platelet and RBC transfusion in patients with HM increases the cost of care and likelihood of adverse events. We aim to decrease the total number of transfused units and multiunit orders of platelets and RBCs in the HM clinic by 25% from March 2020 to December 2020. METHODS: A multidisciplinary, interprofessional team was formed. Baseline rates of blood product utilization were determined using Qlik Analytic software. Strategies to improve utilization were developed, and three interventions were initiated. Data were collected on monthly intervals. Data for total number of platelet and RBC units ordered, total multiunit orders, average number of units ordered per encounter, and pretransfusion hemoglobin thresholds were collected from May 2019 to December 2020. RESULTS: Through our Plan-Do-Study-Act cycles from March 2020 to December 2020, the total number of platelet transfusion orders per month decreased from 164 to 98, multiunit platelet orders decreased from 63 to 2, and the average number of platelet transfusions per encounter decreased from 1.62 to 1.03. The total number of RBC transfusion orders decreased from 172 to 141, multiunit RBC orders decreased from 25 to 16, and the average number of RBC transfusions per encounter decreased from 1.21 to 1.18. CONCLUSION: Implementation of our multidisciplinary interventions led to more appropriate use of blood products in the outpatient setting. Ongoing efforts are underway to continue to improve utilization in the inpatient and outpatient setting.

COVID-19 Pandemic Influence on Medical Oncology Provider Perceptions of Telehealth Video Visits.

PURPOSE: The COVID-19 pandemic necessitated a rapid expansion of telehealth use in oncology, a specialty in which prior utilization was low in part because of barriers perceived by providers. Understanding the changing perceptions of medical oncology providers during the pandemic is critical for continued expansion and improvement of telehealth in cancer care. This study was designed to identify medical oncology providers' perceptions of telehealth video visits as influenced by the COVID-19 pandemic. METHODS: We conducted semi-structured interviews with medical oncology providers from November 20, 2020, to January 27, 2021, at the Sidney Kimmel Cancer Center at Thomas Jefferson University, a National Cancer Institute-designated cancer center in an urban, academic health system in Philadelphia, PA. We assessed provider perceptions of the impact of the COVID-19 pandemic on (1) provider-level comfort and willingness for telehealth, (2) provider-perceived patient comfort and willingness to engage in telehealth, and (3) continued barriers to successful telehealth use. RESULTS: Volunteer and convenience sampling resulted in the participation of 25 medical oncology providers, including 18 physicians and seven advanced practice providers, in semi-structured interviews. Of the 25 participants, 13 (52%) were female and 19 (76%) were White, with an average age of 48.5 years (standard deviation = 12.6). Respondents largely stated an increased comfort level and willingness for use of video visits. In addition, respondents perceived a positive change in patient comfort and willingness, mostly driven by convenience, accessibility, and reduced risk of COVID-19 exposure. However, several reported technologic issues and limited physical examination capability as remaining barriers to telehealth adoption. CONCLUSION: The rapid adoption of telehealth necessitated by the COVID-19 pandemic has increased provider-level and provider-perceived patient comfort and willingness to engage in video visits for cancer care. As both providers and patients increasingly accept telehealth across many use cases, future work should focus on further addressing technology and physical examination barriers and ensuring continued reimbursement for telehealth as a routine part of covered care.

Trainee-Led Quality Improvement Project to Improve Fertility Preservation Counseling for Patients With Cancer.

PURPOSE: Oncofertility counseling regarding the reproductive risks associated with cancer therapy is essential for quality cancer care. We aimed to increase the rate of oncofertility counseling for patients of reproductive age (18-40 years) with cancer who were initiating systemic therapy at the Johns Hopkins Cancer Center from a baseline rate of 37% (25 of 68, June 2019-January 2020) to 70% by February 2021. METHODS: We formed an interprofessional, multidisciplinary team as part of the ASCO Quality Training Program. We obtained data from the electronic medical record and verified data with patients by phone. We surveyed patients, oncologists, and fertility specialists to identify barriers. After considering a prioritization matrix, we implemented Plan-Do-Study-Act (PDSA) cycles. RESULTS: We identified the following improvement opportunities: (1) oncologist self-reported lack of knowledge about counseling and local fertility preservation options and (2) lack of a standardized referral mechanism to fertility services. During the first PDSA cycle (February 2020-August 2020, disrupted by COVID-19), we introduced the initiative to increase oncofertility counseling at faculty meetings. From September 2020 to November 2020, we implemented a second PDSA cycle: (1) educating and presenting the initiative at Oncology Grand Rounds, (2) distributing informative pamphlets to oncologists and patients, and (3) implementing an electronic medical record order set. In the third PDSA cycle (December 2020-February 2021), we redesigned the order set to add information (eg, contact information for fertility coordinator) to the patient after-visit summary. Postimplementation (September 2020-February 2021), counseling rates increased from 37% to 81% (38 of 47). CONCLUSION: We demonstrate how a trainee-led, patient-centered initiative improved oncofertility care. Ongoing work focuses on ensuring sustainability and assessing the quality of counseling.

Development of the Oncology Opportunity Cost Assessment Tool: Item Generation and Content Validity Testing.

PURPOSE: The purpose of this study was to develop the Oncology Opportunity Cost Assessment Tool (OOCAT), a survey instrument to evaluate the opportunity costs patients experience when seeking medical oncology care. METHODS: Development of the OOCAT involved extensive patient engagement through both focus groups and interviews. First, the study team developed a list of opportunity cost concepts, which included patients' logistical and financial considerations related to seeking care. We conducted focus groups with patients to expand upon this list of concepts, and then developed a set of questions that incorporated all the concepts generated during the focus groups. To refine these questions, we next performed cognitive interviews with another set of patients to ensure content validity and clarity of instrument items, refining the OOCAT iteratively on the basis of feedback. RESULTS: We engaged 23 participants (17 patients and six caregivers) across four focus groups and 17 participants in cognitive interviews. Focus group participants generated 112 concepts, which resulted in an initial OOCAT with 16 questions. Cognitive interviews resulted in modification of 12 questions and addition of two questions (related to coordination of transportation and impact on home responsibilities). The final OOCAT consisted of 18 items examining time requirements for appointments, financial implications of traveling to appointments for the patient and the caregiver, and logistical and quality-of-life challenges associated with traveling for appointments. CONCLUSION: We developed the OOCAT, an instrument designed to evaluate patient-level opportunity costs of seeking medical oncology care. Further studies to validate the OOCAT are underway.

The Two-Step Allogeneic Stem Cell Transplantation Approach Results in Rapid Engraftment and Excellent Outcomes in Patients with Lymphoid Malignancies.

The 2-step graft engineering approach has been the main platform for allogeneic hematopoietic cell transplantation (allo-HCT) at Thomas Jefferson University since 2005. We have previously described separating donor lymphocyte infusion followed by cyclophosphamide for bidirectional tolerization from CD34-selected hematopoietic grafts in haploidentical and matched related donors. Here we analyzed 60 patients with high-risk lymphoid malignancies who underwent a 2-step allo-HCT between 2008 and 2020. The majority of patients received haploidentical stem cell grafts (82%), and 20% of patients received matched related donor stem cell grafts. The patients underwent allo-HCT for diffuse large C cell lymphoma (n = 17; 28%), chronic lymphoblastic leukemia (n = 10; 17%), follicular lymphoma (n = 8; 13%), and Hodgkin lymphoma (n = 7; 12%). Eight patients (13%) had received prior high-dose chemotherapy. Thirty patients (50%) had a Hematopoietic Cell Transplantation Comorbidity Index ≥3, and 20 patients (33%) had a Center for International Blood & Marrow Transplant Research Revised Disease Risk Index of high risk or very high risk. The median patient age was 56 years (range, 24 to 75 years). Neutrophils engrafted at a median of 11 days (range, 9 to 16 days), and platelets engrafted at a median of 16 days (range, 13 to 37 days). With a median follow-up of 6 years, the 3-year probability of overall survival was 62.9% (95% confidence interval [CI], 49.3% to 73.8%), and that of disease-free survival was 60.2% (95% CI, 46.4% to 71.6%). The cumulative incidence of relapse at 3 years was 11.9% (95% CI, 5.2% to 21.6%). The cumulative incidence of nonrelapse mortality at 3 years was 30.1% (95% CI, 1.91% to 42.0%). The cumulative incidence of grade II-IV acute graft-versus-host disease (GVHD) at 1 year was 45% (95% CI, 32.2% to 57.0%), and that of grade III-IV acute GVHD at 1 year was 5% (95% CI, 1.3% to 12.6%). The cumulative incidence of cGVHD at 3 years was 15.2% (95% CI, 7.5% to 25.4%). The 2-step approach achieved excellent outcomes in high-risk lymphoid malignancies, with rapid neutrophil and platelet recovery.

High local control and low ocular toxicity using ultra-low-dose "boom-boom" radiotherapy for indolent orbital lymphoma.

BACKGROUND: The first line definitive treatment for early-stage indolent B-cell lymphoma is radiation therapy (RT). Due to the sensitivity of orbital structures to radiation, ultra-low-dose RT (4 Gy in 2 fractions, "boom-boom") has and been utilized as an attractive option for orbital lymphoma. In this retrospective study, we evaluated the outcome and toxicity of "boom-boom" RT for indolent orbital lymphoma with an emphasis on ophthalmologic toxicity. METHODS: This is a retrospective case series with 17 patients with orbital lymphoma who received boom-boom RT at a single tertiary referral center between January 2017 and June 2022. Medical records, imaging and radiation treatment plans were reviewed. Endpoints included response rate, progression, and ocular toxicity per oncologist and ophthalmology reports. RESULTS: A total of 17 patients (12 female and 5 male) with 19 indolent orbital lymphomas were included. Median follow-up was 39 months. Complete, partial, and stable response was achieved in 65%, 24%, and 12% of patients, respectively. Only 1 patient developed local recurrent 47 month after radiation treatment, and was successfully salvaged with standard dose radiation (24 Gy). Five-year distant progression rate is 18%. Oncologist-reported Common Terminology Criteria for Adverse Events (CTCAE) toxicity rates were 6% grade 1 and 0% grade 2+. Ophthalmologist reported 33.3% new post-RT toxicities including dry eye, cataract, and chorioretinal atrophy. There is no significant vision acuity change after RT. CONCLUSIONS: "Boom-Boom" RT (4 Gy in 2 fractions) provides excellent control for indolent orbital lymphoma. While minimal toxicity was documented by radiation oncologists, higher rates were noted by ophthalmologists, highlighting the radiosensitivity of orbital structures and potentially underreported ocular toxicity in "boom-boom" and standard regimens. Further prospective randomized studies are needed to better define the outcome and toxicity of ultra-low-dose (4 Gy) RT for ocular lymphoma.

COVID-19 in Patients With Hematologic Malignancies: A Single Center Retrospective Study.

Initial studies that described the novel coronavirus (COVID-19) reported increased morbidity and mortality in patients with cancer. Of this group, patients with hematologic malignancies (HM) had the highest disease severity and death rates. Subsequent studies have attempted to better describe how COVID-19 affects patients with HM. However, these studies have yielded variable and often contradictory results. We present our single-institution experience with patients with HM who were diagnosed with COVID-19 from March 2020 to March 2021. We report 62 total cases with 10 patients who died during this time. The overall mortality was 16.1%. Mortality during the first two waves of COVID was 27.8% and 25%. Mortality during the third wave of COVID was 10%. The median age of patients was 67 years (range 20-89 years). 55% of patients had lymphoid malignancies and the majority had active disease at the time of diagnosis with COVID-19. 87% of patients had more than one co-morbidity. Important co-morbidities included cardiovascular disease and smoking history. 38.7% of patients had asymptomatic or mild disease, 54.8% required hospitalization, and 17.5% required ICU level care. In patients who required ICU level care, the mortality was 60%.

Medical Oncology Patient Perceptions of Telehealth Video Visits.

PURPOSE: Telehealth in medical oncology has expanded secondary to the COVID-19 pandemic. However, quantitative research on medical oncology telehealth use shows conflicting results on patient satisfaction, whereas qualitative data are sparse. Our qualitative study aimed to identify the factors influencing patient acceptability of video visits for medical oncology care before and at the onset of the expansion of telehealth because of the COVID-19 pandemic. METHODS: Semi-structured interviews were conducted between November 2019 and April 2020 with 20 patients who participated in a telehealth visit with a medical oncology provider at Thomas Jefferson University. RESULTS: Of the 20 participants, 13 (65%) were female and 15 (75%) were White, with a mean (standard deviation) age of 60.5 years (11.8). Patients identified convenience, anxiety, COVID-19, and provider preference as positively influencing the acceptability of video visits; however, some patients noted limitations in provider connection, physical examinations, and visit length as disadvantages. Regarding receipt of serious or bad news, some preferred video visits for privacy, immediacy of results, news processing, and family comfort. Others preferred in-person encounters for provider support and the ability to receive written information and in-person referrals. CONCLUSION: Patient-perceived factors influencing general acceptability, appropriateness of serious and bad news delivery, and future uses of telehealth were unique to each individual, but shared common themes. Understanding each patient's perspective of telehealth acceptability and tailoring use to their preferences is critical for continued utilization. Further research is needed to understand and address reasons for lack of telehealth uptake among certain patients.

Development of an Oncology Acute Care Risk Prediction Model.

PURPOSE: Acute care utilization (ACU), including emergency department (ED) visits or hospital admissions, is common in patients with cancer and may be preventable. The Center for Medicare & Medicaid Services recently implemented OP-35, a measure in the Hospital Outpatient Quality Reporting Program focused on ED visits and inpatient admissions for 10 potentially preventable conditions that arise within 30 days of chemotherapy. This new measure exemplifies a growing focus on preventing unnecessary ACU. However, identifying patients at high risk of ACU remains a challenge. We developed a real-time clinical prediction model using a discrete point allocation system to assess risk for ACU in patients with active cancer. METHODS: We performed a retrospective cohort analysis of patients with active cancer from a large urban academic medical center. The primary outcome, ACU, was evaluated using a multivariate logistic regression model with backward variable selection. We used estimates from the multivariate logistic model to construct a risk index using a discrete point allocation system. RESULTS: Eight thousand two hundred forty-six patients were included in the analysis. ED utilization in the last 90 days, history of chronic obstructive pulmonary disease, congestive heart failure or renal failure, and low hemoglobin and low neutrophil count significantly increased risk for ACU. The model produced an overall C-statistic of 0.726. Patients defined as high risk (achieving a score of 2 or higher on the risk index) represented 10% of total patients and 46% of ACU. CONCLUSION: We developed an oncology acute care risk prediction model using a risk index-based scoring system, the REDUCE (Reducing ED Utilization in the Cancer Experience) score. Further efforts to evaluate the effectiveness of our model in predicting ACU are ongoing.