Oncology pharmacy staffing survey across practice settings in the United States
Recommended Citation
Wechter A, McDonnell AM, Zimdars E, Sakamoto L, Hamm M. Oncology pharmacy staffing survey across practice settings in the United States. J Oncol Pharm Pract. Published online July 23, 2024. doi:10.1177/10781552241266212
Abstract
Purpose:This study was developed to provide a resource for staffing model metrics for oncology pharmacies at healthcare organizations.
Methods:The Hematology/Oncology Pharmacy Association Practice Outcomes and Professional Benchmarking Committee (POPBC) Oncology Pharmacy Staffing Model Task Force designed and distributed a survey to collect baseline data and staffing metrics for oncology pharmacies. The survey was first tested by four POPBC volunteers. The Staffing Model Survey was distributed in multiple phases between September 2021 and January 2022. The task force focused on several different domains including facilities, general metrics, outpatient infusion services, inpatient and outpatient services, informatics/technology, and training and residency programs. Descriptive statistics were used to evaluate the data.
Results:A total of 67 responses were received from 68 surveys distributed (98.5%). Of the responders, the majority were from academic medical centers (AMCs) ( n = 37, 55%) and community-based centers (CBCs) ( n = 21, 31.3%). AMCs reported servicing more inpatient facilities than CBCs (2.1 vs 1.2). For all respondents, 20% tracked in-patient turn-around time compared with 39% of ambulatory sites. Patient education was tracked in all responding settings: 31% for inpatient and 27% for ambulatory. Most sites reported that pharmacy personnel were responsible for cleanroom cleaning (63%) or shared responsibility with an environmental service (37%). Of the 32 sites with ambulatory services, 19 sites were open on Saturday and 15 sites were open on Sundays. Sixty-eight percent of information technology respondents ( n = 28) indicated that they use Epic/Beacon (EPIC Oncology Module) as their electronic health record. For the respondents, 89% used closed-system-transfer devices when compounding, 15% used gravimetric technology, and 11% used robotic technology.
Conclusion:Oncology pharmacy operations and staffing models are unique to each pharmacy and practice setting. The results of the pharmacy staffing model survey provide an insight into operations across the country and highlight a need for staffing model benchmarking and metrics.
Document Type
Article
PubMed ID
39043373