马辅助活动的痴呆症特异性程序的逻辑模型

Rebecca K F Lassell, Beth E Fields, Sarah L. Busselman, Tauren Hempel, W. Wood
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引用次数: 7

摘要

对动物辅助干预措施的构成以及它们为什么和如何被假定起作用的描述不足,对其复制和进一步的科学发展构成了重大挑战。本研究的目的是建立一个全面的基于研究的逻辑模型,描述一个有前景的马辅助活动计划,用于老年阿尔茨海默病和相关痴呆。逻辑模型通过阐明创新项目的关键要素,可以促进创新项目的科学发展。采用定向内容分析的定性方法,我们对先前收集的五个提供者的访谈和每个规划会议的现场记录进行了二次分析。采用定量直接观察的方法,我们对先前收集的8个一小时长的录像带进行了二次分析,这些录像带是在项目期间收集的4名老年痴呆症患者的。从我们对混合方法数据的二次分析得出的逻辑模型阐明了项目的目的、假设、项目活动和结果,以及这些元素之间的一致联系。这些发现可以指导该项目在多种研究和实践背景下的复制,并为其未来的科学发展提供支持。接下来的研究步骤包括评估短期和长期的结果,而不是参与者的直接经验,澄清计划的最佳剂量,并确保其实施的保真度。这种逻辑模型也可能有助于为其他动物辅助干预的科学发展提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Logic Model of a Dementia-specific Program of Equine-assisted Activities
Insufficient descriptions of what comprises animal-assisted interventions and why and how they are presumed to work pose significant challenges to their replication and further scientific development. The purpose of this study was to construct a comprehensive research-based logic model describing a promising program of equine-assisted activities for older adults with Alzheimer’s disease and related dementias. Logic models can advance scientific development of innovative programs by elucidating their critical elements. Employing the qualitative method of directed content analysis, we conducted secondary analyses of previously collected interviews of five providers and fieldnotes of each programmatic session. Employing quantitative direct observational methods, we conducted secondary analysis of eight previously collected hour-long videotapes of four older adults with dementia during the program. The resulting logic model from our secondary analysis of mixed methods data elucidated the program’s purpose, assumptions, programmatic activities, and outcomes, plus congruent linkages across these elements. These findings can guide replication of the program in multiple research and practice contexts and support its future scientific development. Next research steps include evaluating short- and long-term outcomes beyond participants’ direct experiences of the program, clarifying the program’s optimal dosages, and ensuring fidelity of its implementation. This logic model may also help to inform scientific development of other animal-assisted interventions.
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