Signorelli, Jessie

Purpose The time to complete oncology pharmacist tasks is needed to determine workload and productivity. The Hematology/Oncology Pharmacy Association (HOPA) and the Hematology/Oncology Practice and Research Network (PRN) of the American College of Clinical Pharmacy (ACCP) partnered with the aim of establishing consensus on the time required to complete oncology pharmacy tasks. Methods Fifteen patient care tasks and 9 non-patient care tasks, commonly completed by oncology pharmacists were each assigned an average amount of time to be completed. This list was then converted into 24 statements and the Delphi survey method was utilized with an expert panel to arrive at consensus between December 2023 and February 2024. Consensus was defined as at least 75% agreement. The complete manuscript was endorsed by HOPA and ACCP Hematology/Oncology PRN. Results Thirty-three pharmacist-experts agreed to participate in this survey with all participating in round 1, and 29 (87.9%) participating in round 2. In round 1, 9 tasks achieved consensus, with 7 of these being classified as patient care associated. Seven statements reaching 65% but less than 75% agreement were deemed to reach borderline consensus. Eight statements failed to achieve at least 65% agreement and were modified based on respondent feedback. In round 2, 15 statements were included with all achieving consensus. At the completion of round 2, all 24 statements reached consensus, and the survey was deemed complete. Conclusion This project produced the first comprehensive consensus statements for the average time for a US-based oncology pharmacist to complete common patient and non-patient care-related tasks.

Introduction To date, there is no adherence estimator to identify risk of nonadherence prior to initiating oral oncolytics. Methods A workgroup was assembled through the National Community Oncology Dispensing Association and tasked with creating a tool to meet this need. Tool constructs were defined after a review of the literature identifying top barriers to adherence. A second literature search was conducted to identify questions targeting specific barriers from validated adherence questionnaires. Once a finalized draft was complete, the risk assessment tool was built into an electronic survey where a risk category can be automatically calculated for the patient. Results The six most impactful factors affecting compliance to oral oncolytics were identified as patient's confidence, health literacy, perception of treatment, quality of life, social support, and complexity of chemotherapy regimen. A six-item questionnaire was created with five patient-directed questions and one clinician-directed question. Examples and descriptions were provided for clinicians to consider when categorizing complexity of a regimen. The tool was designed for responses to each question to be indexed into categories through a 10-point system. Results will be stratified into low, moderate, or high risk for nonadherence. Conclusion The creation of a tool to predict nonadherence prior to starting therapy is an unmet need for patients initiating oral oncolytics. The aim of this tool is to meet those needs and better guide clinicians to provide patients with strategies to better manage nonadherence. Next steps include tool validation and piloting in clinical practice.