简单但复杂:老年护理医疗保健专业人员对数字跌倒仪表板设计的看法。

IF 3.8 3区 医学 Q2 MEDICAL INFORMATICS
Laura Dodds, Isabelle Meulenbroeks, S Sandun Malpriya Silva, Kristiana Ludlow, Crisostomo Mercado, Karla Seaman, Nasir Wabe, Melissa Baysari, Johanna I Westbrook, Amy D Nguyen
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引用次数: 0

摘要

背景:数字仪表板在医疗保健设置中广泛用于显示数据,支持及时识别风险并增强临床决策。将来自最终用户的反馈整合到仪表板设计中可以支持他们的吸收和利用。本研究旨在:(a)了解在安老院舍工作的医护人员如何收集、解释、传递和沟通临床资讯,特别是跌倒管理方面的资讯;(b)利用协同设计方法,确定医疗专业人员对数字跌倒仪表板的呈现方式、内容和功能的偏好,以支持在养老院提供护理。方法:通过老年护理提供者和初级卫生网络联系人招募参与者。与全科医生(gp)的个人访谈(n = 3)探讨了终端用户的需求,包括跌倒管理、决策过程和仪表板偏好的信息需求。仪表板原型是根据访谈结果和发布的指导方针开发的。然后,通过视频会议或面对面的方式,在8个研讨会(n = 20名参与者;住家老年护理人员、全科医生和老年病医生)中展示原型以获得反馈。访谈和研讨会记录采用模板分析进行分析。结果:在访谈中,全科医生讨论了获得老年护理居民信息的困难、住院老年护理的临床决策和决策支持的使用。在研讨会期间,医疗保健专业人员分享了关于指示板原型的设计、内容和功能的反馈。医疗保健专业人员还讨论了人机交互的主题。这包括对新的数字工具的不信任,以及它们在老年护理中使用的障碍。当前的研究发现,医疗保健专业人员需要一个显示相关居民数据(如药物)的仪表板,包括基准测试功能,并提供详细的见解以支持决策制定。他们表示需要以证据为基础的决策支持,但主张尽量减少警报。结论:医疗保健专业人员接受在住宅老年护理中使用仪表板以尽量减少居民跌倒。他们在共同设计访谈和研讨会上分享了他们的设计想法。调查结果为仪表板的初始开发和后续修订提供了依据,以符合最终用户的偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Simple but complex: aged care healthcare professionals' perspectives on the design of a digital falls dashboard.

Simple but complex: aged care healthcare professionals' perspectives on the design of a digital falls dashboard.

Simple but complex: aged care healthcare professionals' perspectives on the design of a digital falls dashboard.

Simple but complex: aged care healthcare professionals' perspectives on the design of a digital falls dashboard.

Background: Digital dashboards are widely employed across healthcare settings to present data, supporting timely risk identification and enhancing clinical decision-making. Incorporating feedback from end-users into dashboard design supports their uptake and utilisation. The current study aimed to: (a) understand how healthcare professionals working in residential aged care gather, interpret, transfer and communicate clinical information especially for falls management; and (b) utilise co-design methods to determine healthcare professionals' preferences for presentation, content and functionality of a digital falls dashboard to support delivery of care in residential aged care.

Methods: Participants were recruited via aged care provider and primary health network contacts. Individual interviews with general practitioners (GPs) (n = 3) explored end-user needs including information needs for falls management, decision-making processes, and dashboard preferences. Dashboard prototypes were developed using the interview findings and published guidelines. Prototypes were then presented for feedback in eight workshops (n = 20 participants; residential aged care staff, GPs, and geriatricians) completed via videoconferencing or in-person to gain feedback. Interview and workshop transcripts were analysed using template analysis.

Results: During interviews, GPs discussed difficulties in accessing aged care resident information, clinical decision-making in residential aged care, and use of decision support. During workshops, healthcare professionals shared feedback on the design, content, and functionality of dashboard prototypes. Healthcare professionals also discussed themes of human-technology interaction. This included mistrust of new digital tools and barriers to their use in residential aged care. The current study found that healthcare professionals want a dashboard that displays relevant resident data, such as medications, includes features for benchmarking, and provides detailed insights to support decision making. They expressed a need for evidence-based decision support but advocated for minimal alerts.

Conclusions: Healthcare professionals were receptive to using a dashboard in residential aged care to minimise resident falls. They shared their design ideas in co-design interviews and workshops for a prospective dashboard. Findings informed the initial development and subsequent revisions of the dashboard to align with end-user preferences.

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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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