评估和完善疼痛质量信息可视化工具与患者和口译员,以促进疼痛评估在初级保健设置。

IF 2.5 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Informatics for Health & Social Care Pub Date : 2023-10-02 Epub Date: 2023-08-21 DOI:10.1080/17538157.2023.2240411
Maichou Lor, Nancy B Yang, Uba Backonja, Suzanne Bakken
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引用次数: 0

摘要

信息可视化(InfoViz)工具为痛苦沟通挑战提供了一个潜在的解决方案。英语水平有限的患者(LEP)、口译员和提供者之间沟通方式的不一致导致疼痛护理和结果的显著差异。本研究的目的是评估和完善一个文化上适合LEP苗族患者的InfoViz疼痛质量评估工具。我们对LEP苗族人、双语苗族人和苗族口译员进行了一项以用户为中心的三部分迭代研究,包括:(1)参与式设计会议,以评估和完善纳入工具的疼痛信息图;(2)卡片分类,以组织信息图以匹配LEP患者的心理模型;(3)工具评估,以确定哪个工具准确地代表LEP患者的心理模型,并在临床环境中首选。55名参与者提供了三个共同的主题来改进疼痛信息图:与文化相关的颜色,类似人体解剖的信息图,以及特定动作的曲线。卡片分类过程揭示了三个组织主题:感觉(n = 15;71.4%),定位(n = 6;28.6%)和疼痛质量的严重程度(n = 5;24.3%)。大多数参与者选择定位作为最准确的工具,并在临床环境中首选定位。采用多步骤、以用户为中心的方法,为LEP苗族患者提供了一个文化上合适的疼痛InfoViz工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating and refining a pain quality information visualization tool with patients and interpreters to facilitate pain assessment in primary care settings.

Information visualization (InfoViz) tools offer a potential solution to pain communication challenges. Incongruencies in communication styles between patients with limited English proficiency (LEP), interpreters, and providers contribute to significant disparities in pain care and outcomes. This study's purpose is to evaluate and refine a culturally appropriate InfoViz pain quality assessment tool for LEP Hmong patients. We conducted a three-part iterative user-centered study with LEP Hmong, bilingual Hmong, and Hmong interpreters with (1) participatory design sessions to evaluate and refine pain infographics for inclusion on the tool, (2) card-sorting to organize the infographics to match the mental models of LEP patients, and (3) a tool assessment to identify which tool accurately represented LEP patients' mental models and was preferred in clinical settings. Fifty-five participants provided three common themes for pain infographics refinement: culturally-relevant colors, infographics resembling human anatomy, and action-specific squiggle lines. The card-sorting sessions revealed three organizational themes: sensation (n = 15; 71.4%), localization (n = 6; 28.6%), and severity of pain quality (n = 5; 24.3%). Most participants selected the localization as the most accurate tool and preferred it in clinical settings. Using a multi-step, user-centered approach resulted in a culturally appropriate pain InfoViz tool for LEP Hmong patients.

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来源期刊
CiteScore
6.10
自引率
4.20%
发文量
21
审稿时长
>12 weeks
期刊介绍: Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus. The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems. Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects. Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome. Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.
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