Medicines Optimisation Team, Devon Partnership NHS Trust, Barnstaple, Devon, UK
Medicines Optimisation Team, Devon Partnership NHS Trust, Barnstaple, Devon, UK.
Eur J Hosp Pharm. 2023 Jul;30(4):196-201. doi: 10.1136/ejhpharm-2021-002767. Epub 2021 Jul 16.
Medication has a significant role to play in any hospital admissionand in the road to recovery. Medication interventions to improve patient education are essential for better outcomes. Medication interventions in our unit have not previously followed a systematic procedure. They have not been quantified and do not encompass all patients. This study aims to develop a simple tool that can significantly help the effective prioritisation of the workload among the Medicines Optimisation Team, ensuring patient-centred care is optimised.
This is an observational case series study. A basic Excel spreadsheet was designed to capture the team's daily interventions focusing on four main areas: medicines reconciliation, admission, follow-up and discharge. We named it the Medicines Optimisation Interventions Tracking Tool (MOITT).
Analysis of the data showed a good number of patients receiving interventions: 122 (92%) medicines reconciliation, 77 (58%) admission interventions, 64 (48%) follow-up interventions and 28 (21%) interventions on discharge. This quantification of work revealed factors which prevent achieving a higher percentage of interventions. The criteria to complete the spreadsheet were modified accordingly to address these factors resulting in an improvement in the design of the tool and the protocol to follow to complete it. In addition, it was encouraging to see the team's hard work portrayed in figures for the first time.
The MOITT developed facilitates an efficient clinical prioritisation of work for the Medicines Optimisation Team. This study has shown that this novel way of working is advantageous to record and keep track of the Medicines Optimisation Team's daily interventions on an inpatient ward, helping to set daily objectives. Implementation of this tool increases targeted patient interventions and team productivity and influences changes in practice to adapt to the service needs. The role of pharmacy technicians is critical for the implementation of this tool and patient outcomes, which is in line with the UK Hospital Pharmacy and Medicines Optimisation plan dated 2016.
药物在任何住院治疗和康复过程中都起着重要作用。改善患者教育的药物干预措施对于获得更好的结果至关重要。我们科室的药物干预措施以前没有遵循系统的程序。它们没有被量化,也没有涵盖所有患者。本研究旨在开发一种简单的工具,可以显著帮助药物优化团队有效优先处理工作量,确保以患者为中心的护理得到优化。
这是一项观察性病例系列研究。设计了一个基本的 Excel 电子表格来捕获团队的日常干预措施,重点关注四个主要领域:药物重整、入院、随访和出院。我们将其命名为药物优化干预跟踪工具(MOITT)。
数据分析显示,有相当数量的患者接受了干预措施:122 例(92%)药物重整、77 例(58%)入院干预、64 例(48%)随访干预和 28 例(21%)出院干预。这种工作量的量化揭示了阻碍实现更高干预比例的因素。相应地修改了完成电子表格的标准,以解决这些因素,从而改进工具的设计和完成工具的协议。此外,首次看到团队的辛勤工作以数字形式呈现,令人鼓舞。
MOITT 的开发促进了药物优化团队工作的高效临床优先排序。本研究表明,这种新的工作方式有利于记录和跟踪药物优化团队在住院病房的日常干预措施,有助于设定每日目标。该工具的实施增加了针对患者的干预措施和团队的工作效率,并影响实践的改变以适应服务需求。药剂师技术员的作用对于实施该工具和患者结果至关重要,这符合 2016 年英国医院药学和药物优化计划。