A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment

IF 4 2区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Biomedical Informatics Pub Date : 2024-07-15 DOI:10.1016/j.jbi.2024.104691
Annie T. Chen , Claire E. Child , Mary Grace Asirot , Kimiko Domoto-Reilly , Anne M. Turner
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Abstract

Background

Persons with cognitive impairment may experience difficulties with language and cognition that interfere with their ability to communicate about health-related decision making.

Objective

We developed a visual elicitation technique to facilitate conversations about preferences concerning potential future supportive care needs and explored the utility of this technique in a qualitative interview study.

Methods

We conducted 15 online interviews with persons with mild cognitive impairment and mild to moderate dementia, using storytelling and a virtual tool designed to facilitate discussion about preferences for supportive care. Interviews were transcribed verbatim and analyzed using an inductive qualitative data analysis method. We report our findings with respect to several main themes. First, we considered participants’ perspectives on supportive care. Next, we examined the utility of the tool for engaging participants in conversation through two themes: cognitive and communicative processes exhibited by participants; and dialogic interactions between the interviewer and the participant.

Results

With respect to participants’ perspectives on supportive care, common themes included considerations relating to informal caregivers such as availability and burden, and the quality of care options such as paid caregivers. Other themes, such as the importance of making decisions as a family, considerations related to facing these challenges on one’s own, and the fluid nature of decision making, also emerged. Common communicative processes included not being responsive to the question and unclear responses. Common cognitive processes included uncertainty and introspection, or self-awareness, of one's cognitive abilities. Last, we examined dialogic interactions between the participant and the interviewer to better understand engagement with the tool. The interviewer was active in using the visualization tool to facilitate the conversation, and participants engaged with the interface to varying degrees. Some participants expressed greater agency and involvement through suggesting images, elaborating on their or the interviewer’s comments, and suggesting icon labels.

Conclusion

This article presents a visual method to engage older adults with cognitive impairment in active dialogue about complex decisions. Though designed for a research setting, the diverse communication and participant-interviewer interaction patterns observed in this study suggest that the tool might be adapted for use in clinical or community settings.

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在认知障碍的背景下,促进有关支持性护理选择对话的可视化方法。
背景:认知障碍患者在语言和认知方面可能会遇到困难,从而影响他们就健康相关决策进行交流的能力:我们开发了一种视觉诱导技术,以促进有关未来潜在支持性护理需求偏好的对话,并在一项定性访谈研究中探索了这种技术的实用性:我们对轻度认知障碍患者和轻度至中度痴呆患者进行了 15 次在线访谈,访谈中使用了讲故事和虚拟工具,旨在促进有关支持性护理偏好的讨论。我们对访谈内容进行了逐字记录,并采用归纳式定性数据分析方法对访谈内容进行了分析。我们就几个主题报告了研究结果。首先,我们考虑了参与者对支持性护理的看法。接下来,我们通过两个主题考察了该工具在吸引参与者参与对话方面的效用:参与者表现出的认知和交流过程;以及访谈者与参与者之间的对话互动:关于参与者对支持性护理的看法,共同的主题包括与非正式护理人员有关的考虑因素,如可用性和负担,以及护理选择的质量,如有偿护理人员。此外,还出现了其他一些主题,如作为一个家庭做出决定的重要性、与独自面对这些挑战有关的考虑因素以及决策的不稳定性。常见的交流过程包括对问题反应迟钝和回答不明确。常见的认知过程包括不确定性和对自己认知能力的反省或自我意识。最后,我们研究了受试者与访谈者之间的对话互动,以更好地了解受试者对工具的使用情况。访谈者积极使用可视化工具促进对话,参与者也在不同程度上参与了界面。一些参与者通过建议图片、阐述自己或访谈者的评论以及建议图标标签,表达了更大的能动性和参与度:本文介绍了一种视觉方法,让有认知障碍的老年人参与到有关复杂决策的积极对话中。虽然该方法是为研究环境而设计的,但本研究中观察到的不同交流方式和参与者与访谈者之间的互动模式表明,该工具可用于临床或社区环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomedical Informatics
Journal of Biomedical Informatics 医学-计算机:跨学科应用
CiteScore
8.90
自引率
6.70%
发文量
243
审稿时长
32 days
期刊介绍: The Journal of Biomedical Informatics reflects a commitment to high-quality original research papers, reviews, and commentaries in the area of biomedical informatics methodology. Although we publish articles motivated by applications in the biomedical sciences (for example, clinical medicine, health care, population health, and translational bioinformatics), the journal emphasizes reports of new methodologies and techniques that have general applicability and that form the basis for the evolving science of biomedical informatics. Articles on medical devices; evaluations of implemented systems (including clinical trials of information technologies); or papers that provide insight into a biological process, a specific disease, or treatment options would generally be more suitable for publication in other venues. Papers on applications of signal processing and image analysis are often more suitable for biomedical engineering journals or other informatics journals, although we do publish papers that emphasize the information management and knowledge representation/modeling issues that arise in the storage and use of biological signals and images. System descriptions are welcome if they illustrate and substantiate the underlying methodology that is the principal focus of the report and an effort is made to address the generalizability and/or range of application of that methodology. Note also that, given the international nature of JBI, papers that deal with specific languages other than English, or with country-specific health systems or approaches, are acceptable for JBI only if they offer generalizable lessons that are relevant to the broad JBI readership, regardless of their country, language, culture, or health system.
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