a Faculty of Nursing and Health Sciences , Nord University , Bodø , Norway.
b Faculty of Nursing and Health Sciences , Nord University , Mo I Rana , Norway.
Int J Qual Stud Health Well-being. 2019 Dec;14(1):1559437. doi: 10.1080/17482631.2018.1559437.
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.
Twenty healthcare providers participated in the 3 year AI study. Data were collected in fieldwork, interviews, and interventions. Saldañas' longitudinal analysis was applied.
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.
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.
欣赏性探究（Appreciative Inquiry，AI）研究已被证明有助于发展护理知识和改变护理实践。然而，很少有 AI 研究探讨过医疗保健提供者在合作过程中的参与意义随时间的变化。我们的目的是探讨和阐明医疗保健提供者在挪威养老院中随时间参与的情况，以开发新的知识和实践，重点关注感官花园。
20 名医疗保健提供者参与了为期 3 年的 AI 研究。数据通过实地工作、访谈和干预收集。应用了 Saldañas 的纵向分析。
研究人员和参与者之间的合作创造了一种关系空间的洞察力，我们将其命名为“亲密之室”。当关注感官花园时，参与者寻找新的领域来应用亲密之室的意义，这一点被发现了。他们对共同发展的渴望创造了自下而上的视角，这是 AI 成功的标志。
参与者经验的知识可能有助于将 AI 发展为一种有用且可转移的方法，特别是在共同创造参与方面，并且可能对研究和社会产生影响。然而，AI 的基于优势的方法可能导致忽略与问题相关的数据，并使成功评估变得复杂。因此，需要进一步研究来发展 AI。
