Mesa, Ruben A.

Introduction: Optimal scheduling and calendar management in an outpatient chemotherapy unit is a complex process that is driven by a need to focus on safety while accommodating a high degree of variability. Primary constraints are infusion times, staffing resources, chair availability, and unit hours. Methods: We undertook a process to analyze our existing management models across multiple practice settings in our health care system, then developed a model to optimize safety and efficiency. The model was tested in one of the community chemotherapy units. We assessed staffing violations as measured by nurse-to-patient ratios throughout the workday and at key points during treatment. Staffing violations were tracked before and after the implementation of the new model. Results: The new model reduced staffing violations by nearly 50% and required fewer chairs to treat the same number of patients for the selected clinic day. Actual implementation results indicated that the new model leveled the distribution of patients across the workday with an 18% reduction in maximum chair utilization and a 27% reduction in staffing violations. Subsequently, a positive impact on peak pharmacy workload reduced delays by as much as 35 minutes. Nursing staff satisfaction with the new model was positive. Conclusion: We conclude that the proposed optimization approach with regard to nursing resource assignment and workload balance throughout a day effectively improves patient service quality and staff satisfaction.

Purpose We evaluated the efficacy and safety of momelotinib, a potent and selective Janus kinase 1 and 2 inhibitor (JAKi), compared with ruxolitinib, in JAKi-naïve patients with myelofibrosis. Patients and Methods Patients (N = 432) with high risk or intermediate-2 risk or symptomatic intermediate-1 risk myelofibrosis were randomly assigned to receive 24 weeks of treatment with momelotinib 200 mg once daily or ruxolitinib 20 mg twice a day (or per label), after which all patients could receive open-label momelotinib. The primary end point was a ≥ 35% reduction in spleen volume at 24 weeks of therapy. Secondary end points were rates of symptom response and effects on RBC transfusion requirements. Results A ≥ 35% reduction in spleen volume at week 24 was achieved by a similar proportion of patients in both treatment arms: 26.5% of the momelotinib group and 29% of the ruxolitinib group (noninferior; P = .011). A ≥ 50% reduction in the total symptom score was observed in 28.4% and 42.2% of patients who received momelotinib and ruxolitinib, respectively, indicating that noninferiority was not met ( P = .98). Transfusion rate, transfusion independence, and transfusion dependence were improved with momelotinib (all with nominal P ≤ .019). The most common grade ≥ 3 hematologic abnormalities in either group were thrombocytopenia and anemia. Grade ≥ 3 infections occurred in 7% of patients who received momelotinib and 3% of patients who received ruxolitinib. Treatment-emergent peripheral neuropathy occurred in 10% of patients who received momelotinib (all grade ≤ 2) and 5% of patients who received ruxolitinib (all grade ≤ 3). Conclusion In JAKi-naïve patients with myelofibrosis, 24 weeks of momelotinib treatment was noninferior to ruxolitinib for spleen response but not for symptom response. Momelotinib treatment was associated with a reduced transfusion requirement.

Key Points After hydroxycarbamide therapy in high-risk ET, ruxolitinib showed no improvement for complete or partial response rates compared with BAT. Ruxolitinib significantly improved some disease-related symptoms, but rates of thrombosis, hemorrhage, or transformation were not different.

Purpose: The use of social media, in particular Twitter, has substantially increased among health care stakeholders in the field of hematology and oncology, with an especially sharp increase in the use of Twitter during times of major national meetings. The most attended meeting in the oncology field is the ASCO annual meeting. Little is known about the detailed metrics involved in the use, volume, and impact of Twitter during the ASCO annual meeting. Methods: We conducted a retrospective review of tweets during the ASCO annual meetings from 2011 to 2016. The total data set encompassed 190,732 tweets from 39,745 authors over six consecutive ASCO meetings from 2011 to 2016 (inclusive). Tweets, all publically available, were collected by Nephrology On-Demand Analytics. Results: The number of individual authors increased from 1,429 during the 2011 ASCO meeting to 15,796 during the 2016 ASCO meeting, an 11-fold increase over the total 5-year period. There was a notable increase in tweets from the 2011 ASCO meeting (n = 7,746) to the 2016 ASCO meeting (n = 72,698), a nine-fold increase during the study period. The most commonly tweeted term or topic changed over time, generally reflecting the breakthroughs of each designated year; these terms were “melanoma” for both the 2011 and 2012 ASCO meetings; “breast cancer” for the 2013 ASCO meeting; “lung cancer” for the 2014 ASCO meeting; and “ImmunOnc” or “immunotherapy/immuno-oncology” for both the 2015 and 2016 ASCO meetings. Conclusion: The use of Twitter among health care stakeholders during the ASCO meeting has markedly increased over time, demonstrating the increasing role of social media in the dissemination of findings at the most highly attended hematology and oncology conference of the year.