Exploring patterns of collaboration among professionals, organisations, patients and communities that meet complex challenges and promote patient well-being

Impact Pub Date : 2023-09-21 DOI:10.21820/23987073.2023.3.26
Junji Haruta
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Abstract

Managing the well-being of a super-ageing society requires effective collaboration and communication between professionals, organisations, patients and families. Alongside education and training, the importance of a comprehensive understanding of interprofessional competencies cannot be understated. Professor Junji Haruta is building on his personal experience as a physician dealing with family illnesses to conduct research that promotes a holistic approach to medicine. He believes primary care professionals will play a crucial role in providing optimal care for the elderly population in communities for the next 20 years. Haruta is developing resources, including models and theories linked to education on complex issues in primary care, to promote effective interprofessional education. These can be utilised by individuals, universities, organisations and the wider community as a comprehensive system and facilitate the development of solutions to the increasingly complex challenges associated with healthcare, promoting individual and societal well-being. Haruta employs empirical generalisation, which explores relationships between two or more variables observed across different conditions and involves collecting findings from various cases and specific contexts to identify patterns. In one study, he and his collaborators investigated the learning process of medical students in an online community diagnostics programme using a realist approach, which involves theory-driven evaluation, to identify patterns of learning within this programme using the Context (C), Mechanism (M) and Outcome (O) framework. They found that the students acquired knowledge about communities through four distinct learning patterns, and the community diagnosis programme facilitated a deeper understanding of communities through the application of discovery learning, variation theory and cognitive flexibility theory.
探索专业人士、组织、患者和社区之间的合作模式,以应对复杂的挑战,促进患者的健康
管理超级老龄化社会的福祉需要专业人员、组织、患者和家庭之间的有效合作和沟通。除了教育和培训,全面了解跨专业能力的重要性不容低估。Junji Haruta教授利用他作为治疗家庭疾病的医生的个人经验,开展了一项促进整体医学方法的研究。他认为,在未来20年里,初级保健专业人员将在为社区老年人提供最佳护理方面发挥关键作用。Haruta正在开发资源,包括与初级保健复杂问题教育相关的模型和理论,以促进有效的跨专业教育。这些可以被个人、大学、组织和更广泛的社区作为一个综合系统使用,并促进解决方案的发展,以应对与医疗保健相关的日益复杂的挑战,促进个人和社会的福祉。Haruta采用经验概括,探索在不同条件下观察到的两个或多个变量之间的关系,并从各种案例和特定背景中收集发现,以确定模式。在一项研究中,他和他的合作者使用现实主义方法调查了医学生在一个在线社区诊断项目中的学习过程,其中包括理论驱动的评估,使用上下文(C)、机制(M)和结果(O)框架确定该项目中的学习模式。他们发现学生通过四种不同的学习模式获得关于社区的知识,社区诊断项目通过应用发现学习、变异理论和认知灵活性理论促进了对社区的更深层次的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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