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恢复健康:数字叙事效果的概念模型

Restor(y)ing Health: A Conceptual Model of the Effects of Digital Storytelling.

作者信息

Fiddian-Green Alice, Kim Sunny, Gubrium Aline C, Larkey Linda K, Peterson Jeffery C

机构信息

1 University of Massachusetts Amherst, Amherst, MA, USA.

2 Arizona State University, Phoenix, AZ, USA.

出版信息

Health Promot Pract. 2019 Jul;20(4):502-512. doi: 10.1177/1524839918825130. Epub 2019 Feb 8.

Abstract

We currently see an interdisciplinary shift toward a "participatory turn" in health research and promotion under which community engagement, shared decision making and planning, and the use of visual and digital methods have become paramount. Digital storytelling (DST) is one such innovative and engaging method increasingly used in applied health interventions, with a growing body of research identifying its value. Despite its increasing use, a standard approach to empirically assess the impacts on individuals participating in DST interventions does not currently exist. In this article, we define DST as a distinct narrative intervention, illustrate key elements that inform the methodology, and present a conceptual model to examine how DST may contribute to increased socioemotional well-being and bolster positive health outcomes. Our proposed model is informed by elements of narrative theory, Freirian conscientization, multimodality, and social cognitive theory and can serve as a guide for public health practitioners and researchers interested in assessing the potential benefits of DST as an applied health intervention. Recommendations for practice call for a rigorous methodological approach to apply and test this model across a range of health contexts and populations.

摘要

当前,我们看到健康研究与促进领域正朝着“参与式转向”这一跨学科转变,在此转变下,社区参与、共同决策与规划以及视觉和数字方法的运用变得至关重要。数字叙事(DST)就是这样一种越来越多地用于应用健康干预的创新且引人入胜的方法,越来越多的研究证实了其价值。尽管其使用越来越广泛,但目前还不存在一种实证评估参与DST干预对个体影响的标准方法。在本文中,我们将DST定义为一种独特的叙事干预,阐述了构成该方法的关键要素,并提出了一个概念模型,以研究DST如何可能有助于提高社会情感幸福感并促进积极的健康结果。我们提出的模型以叙事理论、弗莱雷意识觉醒、多模态和社会认知理论的要素为依据,可为有兴趣评估DST作为一种应用健康干预潜在益处的公共卫生从业者和研究人员提供指导。实践建议要求采用严谨的方法在一系列健康背景和人群中应用和测试该模型。

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