Suppr超能文献

基于信息架构的中老年患者网络在线教育的有效性和用户体验的影响:在线随机实验

Effects of Information Architecture on the Effectiveness and User Experience of Web-Based Patient Education in Middle-Aged and Older Adults: Online Randomized Experiment.

机构信息

Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.

Faculty of Behavioural, Management and Social sciences, University of Twente, Enschede, Netherlands.

出版信息

J Med Internet Res. 2021 Mar 3;23(3):e15846. doi: 10.2196/15846.

Abstract

BACKGROUND

Web-based patient education is increasingly offered to improve patients' ability to learn, remember, and apply health information. Efficient organization, display, and structural design, that is, information architecture (IA), can support patients' ability to independently use web-based patient education. However, the role of IA in the context of web-based patient education has not been examined systematically.

OBJECTIVE

To support intervention designers in making informed choices that enhance patients' learning, this paper describes a randomized experiment on the effects of IA on the effectiveness, use, and user experience of a patient education website and examines the theoretical mechanisms that explain these effects.

METHODS

Middle-aged and older adults with self-reported hip or knee joint complaints were recruited to use and evaluate 1 of 3 patient education websites containing information on total joint replacement surgery. Each website contained the same textual content based on an existing leaflet but differed in the employed IA design (tunnel, hierarchical, or matrix design). Participants rated the websites on satisfaction, engagement, control, relevance, trust, and novelty and completed an objective knowledge test. Analyses of variance and structural equation modeling were used to examine the effects of IA and construct a theoretical model.

RESULTS

We included 215 participants in our analysis. IA did not affect knowledge gain (P=.36) or overall satisfaction (P=.07) directly. However, tunnel (mean 3.22, SD 0.67) and matrix (mean 3.17, SD 0.69) architectures were found to provide more emotional support compared with hierarchical architectures (mean 2.86, SD 0.60; P=.002). Furthermore, increased perceptions of personal relevance in the tunnel IA (β=.18) were found to improve satisfaction (β=.17) indirectly. Increased perceptions of active control in the matrix IA (β=.11) also improved satisfaction (β=.27) indirectly. The final model of the IA effects explained 74.3% of the variance in satisfaction and 6.8% of the variance in knowledge and achieved excellent fit (χ=14.7; P=.62; root mean square error of approximation=0.000; 95% CI [0.000-0.053]; comparative fit index=1.00; standardized root mean square residual=0.044).

CONCLUSIONS

IA has small but notable effects on users' experiences with web-based health education interventions. Web-based patient education designers can employ tunnel IA designs to guide users through sequentially ordered content or matrix IA to offer users more control over navigation. Both improve user satisfaction by increasing user perceptions of relevance (tunnel) and active control (matrix). Although additional research is needed, hierarchical IA designs are currently not recommended, as hierarchical content is perceived as less supportive, engaging, and relevant, which may diminish the use and, in turn, the effect of the educational intervention.

摘要

背景

基于网络的患者教育正越来越多地被用于提高患者的学习、记忆和应用健康信息的能力。有效的组织、显示和结构设计,即信息架构(IA),可以支持患者独立使用基于网络的患者教育。然而,IA 在基于网络的患者教育中的作用尚未得到系统的研究。

目的

为了支持干预设计者做出明智的选择,以增强患者的学习效果,本文描述了一项关于 IA 对患者教育网站的有效性、使用和用户体验的随机实验,并探讨了解释这些效果的理论机制。

方法

招募了患有自述髋关节或膝关节疼痛的中年和老年人,让他们使用和评估 3 个患者教育网站中的 1 个,这些网站都包含了关于全关节置换手术的信息。每个网站都使用了相同的基于现有传单的文本内容,但在采用的 IA 设计(隧道、分层或矩阵设计)上有所不同。参与者对网站的满意度、参与度、控制感、相关性、信任度和新颖度进行了评价,并完成了一项客观的知识测试。方差分析和结构方程模型用于检验 IA 的效果并构建理论模型。

结果

我们对 215 名参与者进行了分析。IA 对知识增益(P=.36)或整体满意度(P=.07)没有直接影响。然而,隧道(均值 3.22,标准差 0.67)和矩阵(均值 3.17,标准差 0.69)架构被发现比分层架构(均值 2.86,标准差 0.60;P=.002)提供更多的情感支持。此外,在隧道 IA 中,感知到更高的个人相关性(β=.18)可以间接地提高满意度(β=.17)。在矩阵 IA 中,感知到更高的主动控制(β=.11)也可以间接地提高满意度(β=.27)。IA 效果的最终模型解释了满意度 74.3%的方差和知识 6.8%的方差,并且达到了极好的拟合度(χ=14.7;P=.62;均方根误差近似值=0.000;95%置信区间[0.000-0.053];比较拟合指数=1.00;标准化均方根残差=0.044)。

结论

IA 对基于网络的健康教育干预的用户体验有很小但显著的影响。基于网络的患者教育设计者可以采用隧道 IA 设计来指导用户逐步浏览顺序排列的内容,或者采用矩阵 IA 来为用户提供更多的导航控制。这两种设计都通过提高用户对相关性(隧道)和主动控制(矩阵)的感知来提高用户满意度。尽管需要进一步的研究,但目前不建议使用分层 IA 设计,因为分层内容被认为是支持性、参与性和相关性较差的,这可能会降低教育干预的使用和效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b93/7970227/3767329d344e/jmir_v23i3e15846_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验