Looker, Sherry A

Objective: A growing number of cancer antineoplastic agents can cause life-threatening acute infusion reactions. Because previous studies have not studied these reactions from the perspective of patients, this study was undertaken with that objective in mind. Methods: Patients who had an acute infusion reaction were interviewed based on the Leventhal model. Once saturation of content was achieved, interviews were transcribed and analyzed with qualitative methodology. Results: Twenty-one patients were enrolled. Most were women (n = 15); the median age was 58 years, and paclitaxel was the most common inciting agent. Three themes emerged. First, these reactions are frightening; patients made remarks such as “I was just thinking oh my God, I am dying.” Second, prior education about these reactions seemed to mitigate this fear, “Basically everything the nurses told me potentially could happen, like happened. So, I was prepared.” Third, when health-care providers were prompt and attentive during the reaction, patients described less fear with future chemotherapy, “So no, I’m really not fearful about going in tomorrow because I know they’ll be there and they’ll be watching me.” Conclusion: These reactions evoke fear which can be mitigated with education prior to and with prompt responsiveness during the acute infusion reaction.

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.