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首页> 外文期刊>International Journal of Qualitative Studies on Health and Well-Being >Appreciative inquiry in a Norwegian nursing home: a unifying and maturing process to forward new knowledge and new practice
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Appreciative inquiry in a Norwegian nursing home: a unifying and maturing process to forward new knowledge and new practice

机译：挪威疗养院中的鉴赏性探究：统一和成熟的过程以转发新知识和新实践

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Purpose: Appreciative inquiry (AI) studies have proven to be useful in developing nursing knowledge and changing nursing practice. However, few AI studies have examined the meaning of participation over time among collaborating healthcare providers. Our aim was to explore and illuminate healthcare providers’ participation over time in a Norwegian nursing home to develop new knowledge and practice, focusing on sensory gardens.Method: Twenty healthcare providers participated in the 3 year AI study. Data were collected in fieldwork, interviews, and interventions. Salda?as’ longitudinal analysis was applied.Results: The collaboration between the researcher and participants created insight of a relational room, which was named “the room of closeness”. Participants’ search for new arenas to apply the meaning of the room of closeness was found when focusing on the sensory garden. Their desire for joint development created a bottom–up perspective, the hallmark of successful AI.Conclusion: Knowledge of participants’ experiences may contribute to developing AI as a useful and transferable method, especially regarding co-creating participation, and may have implications for research and society. AI’s strength-based approach may, however, lead to the neglect of data that are associated with problems, and complicate the assessment of success. Further research is therefore needed to develop AI.
机译：目的：鉴赏性探究（AI）研究已被证明有助于发展护理知识和改变护理实践。但是，很少有AI研究在合作的医疗保健提供者中研究随着时间推移参与的意义。我们的目的是探索和启发医疗保健提供者随着时间的推移在挪威养老院中的参与，以开发新知识和新实践，重点是感官花园。方法：二十名医疗保健提供者参加了为期3年的AI研究。在实地调查，访谈和干预中收集了数据。结果：研究人员和参与者之间的合作创造了对一个关系室的见解，该关系室被称为“亲密室”。与会者将注意力集中在感官花园上时发现了新的领域，以应用封闭空间的含义。他们对共同发展的渴望创造了自下而上的视角，这是成功的AI的标志。结论：参与者的经验知识可能有助于将AI开发为一种有用且可转移的方法，尤其是在共同参与方面，并且可能对研究产生影响和社会。但是，基于AI的基于强度的方法可能会导致忽略与问题相关的数据，并使成功评估变得复杂。因此，需要进一步研究来开发AI。

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