University of North Carolina Medical Center, Chapel Hill, NC.
University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, NC, USA.
Am J Health Syst Pharm. 2021 Jul 22;78(15):1410-1416. doi: 10.1093/ajhp/zxab200.
The purpose of the project described here was to use the work outputs identified in part 1 of a 2-part research initiative to build and validate an acute care clinical pharmacist productivity model.
Following the identification of work outputs in part 1 of the project, relative weighting was assigned to all outputs based on the time intensity and complexity of each task. The number of pharmacists verifying an inpatient medication order each day was selected to represent the labor input. A multivariable linear regression was performed to determine the final work outputs for inclusion in the model. Productivity and productivity index values were calculated for each day from July 1, 2018, through June 30, 2019.
Of the 27 work outputs identified via consensus by the clinical pharmacist working team, 17 work outputs were ultimately included in the productivity model. The average productivity during the period July 2018 through June 2019 was derived from the model and will serve as the baseline productivity for acute care clinical pharmacists.
Validated consensus methodology can be useful for engaging clinical pharmacist in decision-making and developing a clinical productivity model. When thoughtfully designed, the model can replace obsolete measures of productivity that do not account for the responsibilities of clinical pharmacists.
本项目旨在利用两部分研究计划第一部分中确定的工作成果,构建和验证急性护理临床药师的生产力模型。
在项目第一部分确定工作成果后,根据每项任务的时间强度和复杂性对所有产出进行相对加权。选择每天验证住院患者用药医嘱的药师人数来代表劳动力投入。进行多元线性回归以确定纳入模型的最终工作产出。计算 2018 年 7 月 1 日至 2019 年 6 月 30 日期间的每天的生产力和生产力指数值。
通过临床药师工作组的共识确定了 27 项工作成果,最终有 17 项工作成果纳入生产力模型。2018 年 7 月至 2019 年 6 月期间的平均生产力是根据模型得出的,将作为急性护理临床药师的基础生产力。
经验证的共识方法可用于让临床药师参与决策制定和开发临床生产力模型。当精心设计时,该模型可以替代那些不考虑临床药师职责的过时的生产力衡量标准。