Integrating electronic geriatric assessment and frailty screening for adults with acute myeloid leukemia to drive personalized treatment decisions.

PURPOSE: Evidenced based guidelines for patients with Acute Myeloid Leukemia (AML) acknowledge increasing importance of frailty assessment when deciding on treatment, yet comprehensive geriatric assessment (GA) results are not easily incorporated into clinic workflows and the electronic health record. This study assessed the feasibility of electronic GA use in a real-world environment. METHODS: Patients with AML, ≥ 60 years and at a treatment decision-making point were recruited at three academic institutions. An electronic GA (eGA) was completed by patients prior to starting treatment. Results were immediately available on a dashboard. Data on feasibility, useability and acceptability of the intervention were collected immediately after the clinical visit. Patients completed follow up surveys at 3 months and chart reviews were done to capture treatment and toxicities. RESULTS: 77 patients were enrolled with a median age of 71 years (range=61-88). The eGA results were 25 fit (31.0 %), 22 (32.0 %) intermediate, and 23 (31.0 %) frail. There was 62.7 % (n = 47) provider concordance with the eGA result and 27 (36.0 %) post visit reports indicated that the eGA results influenced the treatment decision. On average, patients completed the surveys unassisted in 16.24 min and providers reviewed the dashboard in 3.5 min. CONCLUSION: Patients easily completed an eGA prior to starting treatment. Results were reviewed by the physician and considered in the decision for optimal treatment. One third of physician reports indicated the results were used to inform the treatment decision. Feasibility of completing the eGA in the clinic without workflow disruption and utility of the results was demonstrated.

Goals, preferences, and concerns of patients with acute myeloid leukemia at time of treatment decision.

INTRODUCTION: Current cancer value-based models require documentation of patient goals of care and an evidence-based treatment course commensurate with patient goals. This feasibility study assessed the utility of an electronic tablet-based questionnaire to elicit patient goals, preferences, and concerns at a treatment decision making time point in patients with acute myeloid leukemia. MATERIALS AND METHODS: Seventy-seven patients were recruited from three institutions prior to seeing the physician for treatment decision-making visit. Questionnaires included demographics, patient beliefs, and decision-making preferences. Analyses included standard descriptive statistics appropriate for the level of measurement. RESULTS: Median age was 71 (range = 61-88), 64.9% female, 87.0% white, and 48.6% college educated. On average, patients completed the surveys unassisted in 16.24 min and providers reviewed the dashboard in 3.5 min. All but one patient completed the survey prior to starting treatment (98.7%). Providers reviewed the survey results prior to seeing the patient 97.4% of the time. When asked their goals of care, 57 (74.0%) patients agreed with the statement "my cancer is curable" and 75 (97.4%) agreed that the treatment goal was to get rid of all cancer. Seventy-seven (100%) agreed the goal of care is to feel better and 76 (98.7%) agreed the goal of care is live longer. Forty-one (53.9%) indicated they wanted to make treatment decisions together with the provider. The top two concerns were understanding treatment options (n = 24; 31.2%) and making the right decision (n = 22; 28.6%). DISCUSSION: This pilot demonstrated the feasibility of using technology for decision-making at the point of care. Eliciting patient goals of care, treatment outcomes expectations, decision-making preferences, and top concerns may provide clinicians with information to inform the treatment discussion. A simple electronic tool may provide valuable insight into patient understanding of disease to better tailor patient-provider discussion and treatment decision-making.

A Study Design to Harmonize Patient-Reported Outcomes Across Data Sets.

PURPOSE: Using patient-reported outcomes (PROs) provides important insights from the patient's perspective and can be valuable to monitor and manage treatment-related adverse events during cancer treatment. Additionally, the digital administration of PROs (electronic PROs [ePROs]) provides real-time updates to clinical care teams on treatment-related symptoms in-between clinic visits. However, given the variability in the methodology and timing of the data collection, using and harmonizing these data across different systems remains challenging. Identifying data elements to capture and operating procedures for harmonization across ePRO tools will expedite efforts to generate relevant and robust data on use of ePRO data in clinical care. METHODS: Friends of Cancer Research assembled a consortium of project partners from key health care sectors to align on a framework for ePRO data capture across ePRO tools and assessment of the impact of ePRO data capture on patient outcomes. RESULTS: We identified challenges and opportunities to align ePRO data capture across ePRO tools and aligned on key data elements for assessing the impact of ePRO data capture on patient care and outcomes. Ultimately, we proposed a study protocol to leverage ePRO data for symptom and adverse event management to measure real-world effectiveness of ePRO tool implementation on patient care and outcomes. CONCLUSION: This work provides considerations for harmonizing ePRO data sets and a common framework to align across multiple ePRO tools to assess the value of ePROs for improving patient outcomes. Future efforts to interpret evidence and evaluate the impact of ePRO tools on patient outcomes will be aided by improved alignment across studies.

Electronic Patient Symptom Management Program to Support Patients Receiving Cancer Treatment at Home During the COVID-19 Pandemic.

OBJECTIVES: Remote patient monitoring became critical for patients receiving cancer treatment during the COVID-19 pandemic. We sought to test feasibility of an electronic patient symptom management program implemented during a pandemic. We collected and analyzed the real-world data to inform practice quality improvement and understand the patient experience. METHODS: Eligible patients had breast, lung, or ovarian cancers, multiple myeloma, or acute myeloid leukemia and 12 weeks of planned chemotherapy. Patients were notified that a symptom survey with common symptoms derived from the National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events was available to complete using a smart phone, tablet, or computer. Patients recorded their symptoms and results were sent to the provider. Patients received care guidelines for mild/moderate severity symptoms and a phone call from the provider for severe reports. RESULTS: A total of 282 patients generated > 119 088 data points. Patients completed 2860 of 3248 assigned surveys (88%), and 152 of 282 patients (54%) had symptom reports that generated an immediate notification to the provider. Longitudinal data were analyzed to determine whether previous reports predicted a notification alert and whether symptoms resolved after the alert was addressed. CONCLUSIONS: An electronic patient symptom management program was implemented in the midst of the COVID-19 pandemic. Enrollment of 282 patients and a high survey completion (88%) demonstrated feasibility/acceptance. Patients reported symptoms at severe levels of 54% of the time and received self-management instructions and provider phone calls that resolved or decreased the severity of the symptom. A standard approach and validated instrument provide opportunities for improving and benchmarking outcomes.

Shared Decision-Making in Managing Breakthrough Cancer Pain in Patients With Advanced Cancer.

BACKGROUND: Pain is a significant problem in patients with cancer. Breakthrough cancer pain contributes to the pain experience, but it is often underassessed and underrecognized. Shared decision-making (SDM), where patient preferences, goals, and concerns are discussed and integrated into a shared decision, can potentially foster earlier identification of pain, including breakthrough cancer pain, and improve pain management. OBJECTIVES: To explore the use of SDM to evaluate its impact on cancer pain management. METHODS: This prospective, multisite study engaged patients with advanced cancer to explore the use of SDM in managing cancer pain using a digital platform with an expanded pain assessment. Decision preferences were noted and incorporated into care. Outcomes included pain and patient-perceived pain care quality. RESULTS: 51 patients with advanced cancer enrolled in the study. The mean pain score was 5 out of 10 throughout the three study time points. 88% of patients experienced breakthrough cancer pain of severe intensity at baseline and approximately 70% at visits two and three. The majority of breakthrough cancer pain episodes lasted longer than 30 minutes. The majority (86%) of participating patients desired shared decision-making or patient-driven decision-making. Most patients expressed satisfaction with the level of shared decision-making in managing their cancer pain. Breakthrough cancer pain remained significant for most patients. CONCLUSIONS: SDM incorporated into pain discussions has the potential to improve pain outcomes, but significant challenges remain in managing breakthrough cancer pain.

Oral adherence in adults with acute myeloid leukemia (AML): results of a mixed methods study.

INTRODUCTION: The incidence of AML is increasing, in part due to an aging population. Since 2017, eight novel agents have been introduced, 6 of which are oral: midostaurin, enasidenib, ivosidenib, gilteritinib, glasdegib, and venetoclax. With an increase in oral medications (OMs), patients face associated side effects that accompany OMs, which often decreases adherence. We aimed to identify and summarize adherence to OMs in this population. METHODS: Our mixed method design used focus groups (FG) and patient surveys. After IRB approval, 11 patients and 4 caregivers participated in 4 FGs. Themes from the FGs were used to develop a 37-item OMs adherence needs assessment. Participants were recruited and consented at three cancer centers to complete surveys (online, at the clinic, hospital, or from home). RESULTS: A total of 100 patients completed OMs survey. The number of pills to be taken was the most frequent and troublesome challenge. The most frequently reported interventions that would improve patient adherence were smaller pills, easier packaging, and scheduling assistance. Nearly 33% of patients indicated they skip OMs dose altogether when they forget to take it. Younger patients (< 65 years) were more accepting of taking oral compared with intravenous medications (p = .03). CONCLUSION: This study represents the first assessment of OMs adherence in adults with AML. Findings provide the basis for further exploration of interventions to enhance and increase adherence to OMs regimens.

Understanding Barriers to Oral Therapy Adherence in Adults With Acute Myeloid Leukemia.

Acute myeloid leukemia (AML) is a disease of older adults, with a median age at diagnosis of 68 years. The availability of oral anticancer medications has increased, although the standard treatment for AML remains in intravenous form. We aim to identify barriers to adherence to oral medications in patients with AML and proposed solutions for improvements. Following institutional review board approval, patients with AML and their caregivers were recruited to participate in focus groups. Sessions were digitally recorded, transcribed verbatim, and analyzed for thematic content using Dedoose qualitative software. 11 patients (five < 65 years; six ≥ 65 years) and 4 caregivers participated in these sessions. Three central themes emerged: 1) medication adherence challenges, 2) managing an oral adherence plan, and 3) strategies to improve oral adherence. Participants recommended written schedules, taking medications around meals, and using pillboxes and alarms. We believe that patients are an important source of insight into barriers and solutions to oral medication adherence.

Integrating Touchscreen-Based Geriatric Assessment and Frailty Screening for Adults With Multiple Myeloma to Drive Personalized Treatment Decisions.

PURPOSE: Geriatric assessment (GA) results predict toxicity/survival in older adults, yet GA is not routinely used in care for patients with multiple myeloma (MM). We tested a tablet-based modified GA (mGA) providing real-time results to clinicians. METHODS: One hundred sixty-five patients with MM aged ≥ 65 years facing a treatment decision from 4 sites completed a tablet-based mGA with Katz Activities of Daily Living (ADL), Lawton Instrumental ADL, Charlson Comorbidity Index, and variables from the Cancer and Aging Research Group's Chemotherapy Toxicity Calculator. Providers reviewed the assessment results at the treatment visit. RESULTS: Patients were white (72%; n = 86), mean age was 72 years (range, 65-85 years), and averaged 7.71 minutes (range, 2-17 minutes) for survey completion. Providers averaged 3.2 minutes (range, 1-10 minutes) to review mGA results. Using International Myeloma Working Group frailty score, patients were fit (39%; n = 64), intermediate fit (33%; n = 55), or frail (28%; n = 46). Providers selected more aggressive treatments in 16.3% of patients and decreased treatment intensity in 34% of patients; treatment intensification was more common for fit patients and milder treatments for frail patients (χ2 = 20.02; P < .0001). Transplant eligibility significantly correlated with fit status and transplant ineligibility with frail status (P = .004). Outcomes on 144 patients 3 months post study visit showed 19.4% (n = 28) had grade ≥ 3 hematologic toxicities, 38.9% (n = 56) had dose modifications, and 18% (n = 26) had early therapy cessation. CONCLUSION: Limited patient time required for survey completion and provider time for results review show mGA can be easily incorporated into clinical workflow. Real-time mGA results indicating fit/frailty status influenced treatment decisions.

Emerging Models of Interprofessional Collaboration in Cancer Care.

OBJECTIVES: To present emerging models for oncology health professionals to consider when coordinating cancer care among professionals, beginning as early as initial professional education and training and continuing along the cancer continuum to include cancer treatment and psychosocial support. DATA SOURCES: Journal articles indexed on the National Library of Medicine database and personal communications with oncology colleagues. CONCLUSION: Interprofessional collaboration is becoming increasingly important in the specialty of oncology. The complexity of new therapies and their associated side-effect profiles benefit from a collaborative, interprofessional approach to the care of the patient with cancer. Additionally, oncology patients can benefit from interprofessional collaboration across the complexities of the care continuum. IMPLICATIONS FOR NURSING PRACTICE: Oncology nurses are often in roles that can facilitate interprofessional collaboration, optimizing the care of patients with cancer.

Automated home monitoring and management of patient-reported symptoms during chemotherapy: results of the symptom care at home RCT.

Technology-aided remote interventions for poorly controlled symptoms may improve cancer symptom outcomes. In a randomized controlled trial, the efficacy of an automated symptom management system was tested to determine if it reduced chemotherapy-related symptoms. Prospectively, 358 patients beginning chemotherapy were randomized to the Symptom Care at Home (SCH) intervention (n = 180) or enhanced usual care (UC) (n = 178). Participants called the automated monitoring system daily reporting severity of 11 symptoms. SCH participants received automated self-management coaching and nurse practitioner (NP) telephone follow-up for poorly controlled symptoms. NPs used a guideline-based decision support system. Primary endpoints were symptom severity across all symptoms, and the number of severe, moderate, mild, and no symptom days. A secondary endpoint was individual symptom severity. Mixed effects linear modeling and negative binominal regressions were used to compare SCH with UC. SCH participants had significantly less symptom severity across all symptoms (P < 0.001). On average, the relative symptom burden reduction for SCH participants was 3.59 severity points (P < 0.001), roughly 43% of UC. With a very rapid treatment benefit, SCH participants had significant reductions in severe (67% less) and moderate (39% less) symptom days compared with UC (both P < 0.001). All individual symptoms, except diarrhea, were significantly lower for SCH participants (P < 0.05). Symptom Care at Home dramatically improved symptom outcomes. These results demonstrate that symptoms can be improved through automated home monitoring and follow-up to intensify care for poorly controlled symptoms.

Scientific Advances Shaping the Future Roles of Oncology Nurses.

OBJECTIVES: To discuss the recent scientific advances that influence current oncology care and explore the implications of these advances for the future of oncology nursing. DATA SOURCES: Current nursing, medical and basic science literature; Clinicaltrials.gov. CONCLUSION: The future of oncology care will be influenced by an aging population and increasing number of patients diagnosed with cancer. The advancements in molecular sequencing will lead to more clinical trials, targeted therapies, and treatment decisions based on the genetic makeup of both the patient and the tumor. Nurses must stay current with an ever changing array of targeted therapies and developing science. Nurses will influence cancer care quality, value, cost, and patient satisfaction. IMPLICATIONS FOR NURSING PRACTICE: It is critical for oncology nurses and nursing organizations to engage with all oncology care stakeholders in identifying the future needs of oncology patients and the environment in which care will be delivered. Nurses themselves must identify the roles that will be needed to ensure a workforce that is adequate in number and well trained to meet the future challenges of care delivery.

Science and mechanism of action of targeted therapies in cancer treatment.

OBJECTIVES: To identify common signaling pathways that control cancer growth and discuss the mechanism of action of cancer targeted therapies. DATA SOURCES: Medical and nursing literature, research articles, published clinical guidelines. CONCLUSION: Understanding the signaling pathways and genetic mutations that control cancer cell growth elucidates an understanding of the mechanism of targeted therapies. IMPLICATIONS FOR NURSING PRACTICE: To understand the mechanism of action of targeted therapies, oncology nurses must first be familiar with the most common signaling pathways. Adding to this foundation, the nurse can easily learn about the classes of targeted therapies and the strategies to minimize and manage common side effects.