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.

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.