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Proposal for a Framework to Enable Elicitation of Preferences for Clients in Need of Long-Term Care

机译:框架的提议,以便为需要长期护理需要挑剔的客户偏好

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Purpose: Collaborative deliberation comprises personal engagement, recognition of alternative actions, comparative learning, preference elicitation, and preference integration. Collaborative deliberation may be improved by assisting preference elicitation during shared decision-making. This study proposes a framework for preference elicitation to facilitate collaborative deliberation in long-term care consultations. Methods: First, a literature overview was conducted comprising current models for the elicitation of preferences in health and social care settings. The models were reviewed and compared. Second, qualitative research was applied to explore those issues that matter most to clients in long-term care. Data were collected from clients in long-term care, comprising 16 interviews, 3 focus groups, 79 client records, and 200 online client reports. The qualitative analysis followed a deductive approach. The results of the literature overview and qualitative research were combined. Results: Based on the literature overview, five overarching domains of preferences were described: “Health”, “Daily life”, “Family and friends”, ”Living conditions”, and “Finances”. The credibility of these domains was confirmed by qualitative data analysis. During interviews, clients addressed issues that matter in their lives, including a “click” with their care professional, safety, contact with loved ones, and assistance with daily structure and activities. These data were used to determine the content of the domains. Conclusion: A framework for preference elicitation in long-term care is proposed. This framework could be useful for clients and professionals in preference elicitation during collaborative deliberation.
机译:目的:协作审议包括个人参与,对替代行动的认可,比较学习,偏好诱因和偏好一体化。通过协助在共同决策期间辅助偏好诱因,可以改善协作审议。本研究提出了偏好倡导框架,以促进长期护理咨询中的协同审议。方法:首先,进行文献概述,包括当前模型,用于促进健康和社会护理环境中的偏好。该模型进行了审查并进行比较。其次,采用了定性研究,探讨了长期护理的客户最重要的问题。从客户端收集数据,长期护理,包括16个访谈,3个焦点小组,79个客户端记录和200个在线客户报告。定性分析遵循了一种演绎方法。合并文献概述和定性研究的结果。结果:根据文献概述,描述了五个偏好域名:“健康”,“日常生活”,“家庭和朋友”,“生活条件”和“财务状况”。通过定性数据分析确认了这些域的可信度。在访谈期间,客户解决了他们生活中重要的问题,包括“点击”,并与他们的护理专业,安全,与亲人联系,以及每日结构和活动的援助。这些数据用于确定域的内容。结论:提出了长期护理中偏好诱导的框架。在协作审议期间,此框架对客户和专业人员有用。

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