Scottish Improvement Science Collaborating Centre (SISCC), School of Nursing and Health Sciences, University of Dundee, Dundee, Angus, UK.
Physiotherapy Department, NHS Tayside, Dundee, Angus, UK.
BMJ Open. 2020 Feb 28;10(2):e033574. doi: 10.1136/bmjopen-2019-033574.
The quality and safety of drug therapy in primary care are global concerns. The Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP) intervention aims to improve prescribing safety via an informatics tool, which facilitates proactive management of drug therapy risks (DTRs) by health-board employed pharmacists with established roles in general practices. Study objectives were (1) to identify and prioritise factors that could influence P-DQIP implementation from the perspective of practice pharmacists and (2) to identify potentially effective, acceptable and feasible strategies to support P-DQIP implementation.
Semistructured face-to-face interviews using a Theoretical Domains Framework informed topic guide. The framework method was used for data analysis. Identified implementation factors were prioritised for intervention based on research team consensus. Candidate intervention functions, behavioural change techniques (BCTs) and policies targeting these were identified from the behavioural change wheel. The final intervention content and modes of delivery were agreed with local senior pharmacists.
General practices from three Health and Social Care Partnerships in National Health Service (NHS) Tayside.
14 NHS employed practice pharmacists.
Identified implementation factors were linked to thirteen theoretical domains (all except intentions) and six (skill, memory/attention/decision making, behavioural regulation, reinforcement, environmental context/resources, social influences) were prioritised. Three intervention functions (training, enablement and environmental restructuring) were relevant and were served by two policy categories (guidelines, communication/marketing) and eight BCTs (instructions on how to perform a behaviour, problem solving, action planning, prompt/cues, goal setting, self-monitoring, feedback and restructuring the social environment). Intervention components encompass an informatics tool, written educational material, a workshop for pharmacists, promotional activities and small financial incentives.
This study explored pharmacists' perceptions of implementation factors which could influence management of DTRs in general practices to inform implementation of P-DQIP, which will initially be implemented in one Scottish health board with parallel evaluation of effectiveness and implementation.
初级保健中的药物治疗质量和安全是全球性问题。药剂师和数据驱动的初级保健质量改进(P-DQIP)干预旨在通过一个信息工具提高处方安全性,该工具通过在常规实践中具有既定作用的卫生委员会雇用药剂师,促进药物治疗风险(DTR)的主动管理。研究目的是(1)从执业药剂师的角度确定并优先考虑可能影响 P-DQIP 实施的因素,以及(2)确定支持 P-DQIP 实施的潜在有效、可接受和可行的策略。
使用理论领域框架知情的主题指南进行半结构化面对面访谈。该框架方法用于数据分析。根据研究团队的共识,确定实施因素的优先级,以便进行干预。从行为改变轮中确定针对这些因素的干预功能、行为改变技术(BCT)和政策。最终的干预内容和交付模式与当地资深药剂师达成一致。
NHS 泰赛德的三个健康和社会保健合作伙伴关系中的常规实践。
14 名 NHS 雇用的执业药剂师。
确定的实施因素与十三个理论领域(除了意图)相关联,其中六个(技能、记忆/注意力/决策制定、行为调节、强化、环境背景/资源、社会影响)被优先考虑。有三个干预功能(培训、赋能和环境重构)是相关的,并由两个政策类别(准则、沟通/营销)和八个 BCT(关于如何执行行为的说明、解决问题、行动计划、提示/线索、目标设定、自我监控、反馈和重构社会环境)提供服务。干预组件包括一个信息工具、书面教育材料、药剂师研讨会、宣传活动和小额财务激励。
这项研究探讨了药剂师对可能影响常规实践中 DTR 管理的实施因素的看法,以告知 P-DQIP 的实施,该计划将首先在苏格兰的一个卫生委员会实施,同时评估有效性和实施情况。