Discipline of General Practice, University of Galway, Galway, Ireland.
School of Medicine, Clinical Science Institute, University of Galway, Galway, Ireland.
Qual Health Res. 2023 Nov;33(13):1232-1248. doi: 10.1177/10497323231197387. Epub 2023 Sep 11.
The positive deviance approach seeks to identify and learn from those that perform exceptionally well. Positive deviance as an approach to quality improvement is gaining traction in general practice. This study aimed to explore and compare stakeholders' perceptions of the factors that support the delivery of exceptional care in general practice and to refine a previously developed theoretical framework of factors associated with positively deviant care in general practice: the Identifying and Disseminating the Exceptional to Achieve Learning (IDEAL) framework. Semi-structured interviews were conducted with 33 purposively sampled patients, general practitioners, practice nurses, and practice managers in Irish general practice. Subsequently, a directed content analysis approach was employed to deductively analyse interview data using the IDEAL framework, and newly emerging factors were inductively analysed and abstracted into the framework. Several distinct strategies (e.g. patient activation and team collaboration), structures (e.g. facilities and staffing), and contextual factors (e.g. communication and rapport, and culture) were found to support the delivery of exceptional care, and differences in perceptions, values, and expectations emerged between patients and practice staff. Interview data largely supported the pre-determined factors posited by the IDEAL framework, and new factors were abstracted into the framework (e.g. facilities and infrastructure). Stakeholder engagement regarding the factors supporting exceptional care in general practice supported and extended the IDEAL framework, contributing to a more comprehensive understanding of how exceptional care is delivered in general practice. The refined framework will support researchers, policymakers, and teams looking to support, measure, and achieve exceptionally good patient care in general practice.
积极反常方法旨在识别和学习那些表现出色的人。作为一种提高质量的方法,积极反常在全科医学中越来越受到关注。本研究旨在探讨和比较利益相关者对支持全科医疗中提供卓越护理的因素的看法,并完善之前开发的与全科医疗中积极反常护理相关的因素的理论框架:识别和传播卓越以实现学习(IDEAL)框架。对爱尔兰全科医学中的 33 名有目的抽样的患者、全科医生、执业护士和执业经理进行了半结构化访谈。随后,采用定向内容分析方法,使用 IDEAL 框架对访谈数据进行演绎分析,并对新出现的因素进行归纳分析并抽象到框架中。发现了一些不同的策略(例如患者激活和团队合作)、结构(例如设施和人员配置)和背景因素(例如沟通和融洽关系以及文化)支持卓越护理的提供,并且患者和执业人员之间出现了不同的看法、价值观和期望。访谈数据在很大程度上支持了 IDEAL 框架中预先确定的因素,并将新的因素抽象到框架中(例如设施和基础设施)。关于支持全科医疗中卓越护理的因素的利益相关者参与支持和扩展了 IDEAL 框架,有助于更全面地了解全科医疗中如何提供卓越护理。经过完善的框架将为研究人员、政策制定者和团队提供支持,以支持、衡量和实现全科医疗中的卓越患者护理。