通过在可用性评估方法中应用 DEMIGNED 原则来捕捉痴呆症患者的可用性问题:混合方法研究。

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2024-07-31 DOI:10.2196/54032
Thomas Engelsma, Simone Heijmink, Heleen M A Hendriksen, Leonie N C Visser, Afina W Lemstra, Monique W M Jaspers, Linda W P Peute
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引用次数: 0

摘要

背景:与痴呆症相关的损伤会对访问、使用和采用数字健康技术(DHT)造成复杂的障碍。这些障碍会导致数字健康不平等。因此,我们开发了名为 DEMIGNED 的基于文献的设计原则,以支持针对这一快速增长人群的数字健康技术的设计和评估:本研究旨在将DEMIGNED原则应用于可用性评估方法中,以(1)捕捉移动网站上的可用性问题,该网站为访问记忆诊所的人提供信息资源,包括那些患有主观认知衰退(SCD)、轻度认知障碍(MCI)或痴呆症的人,以及(2)调查专家测试中DEMIGNED原则捕捉到的可用性问题的真实性,特别是对于作为提供DHTs手段的移动网站:方法:首先,以 DEMIGNED 原则作为特定领域的指导原则,由 3 名双料专家(在可用性和痴呆症方面都有经验)和 2 名可用性工程专家进行启发式评估。其次,对前往记忆诊所就诊的患有SCD、MCI或痴呆症的患者进行了思考朗读:结果:启发式评估产生了 36 个独特的可用性问题。有代表性的7名记忆诊所就诊者参加了思考--朗读会,其中4人(57%)患有SCD,1人(14%)患有MCI,2人(29%)患有痴呆症。对思考-朗读会话的分析表明,有 181 次遇到了可用性问题。在这些问题中,有 144 个(79.6%)可以与启发式评估中发现的 18 个可用性问题相对应。剩下的 37 次(20.4%)用户测试则揭示了另外 10 个独特的可用性问题。在畅想环节中经常出现的可用性问题包括搜索功能使用困难、用户期望与内容组织之间的差异、需要滚动、信息过载以及系统反馈不清晰等:通过在专家测试中应用DEMIGNED原则,评估人员在为访问记忆诊所的人们(包括痴呆症患者)进行的移动网站用户测试中,捕捉到了79.6%(144/181)的可用性问题。关于独特的可用性问题,启发式评估中发现的独特可用性问题中有 50%(18/36)被用户测试环节捕捉到了。未来的研究应探讨DEMIGNED原则在其他数字健康功能中的适用性,以提高数字健康的可及性,减少这一复杂且快速增长的人群在数字健康方面的不平等。
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Capturing Usability Problems for People Living With Dementia by Applying the DEMIGNED Principles in Usability Evaluation Methods: Mixed Methods Study.

Background: Dementia-related impairments can cause complex barriers to access, use, and adopt digital health technologies (DHTs). These barriers can contribute to digital health inequities. Therefore, literature-based design principles called DEMIGNED have been developed to support the design and evaluation of DHTs for this rapidly increasing population.

Objective: This study aims to apply the DEMIGNED principles in usability evaluation methods to (1) capture usability problems on a mobile website providing information resources for people visiting a memory clinic, including those living with subjective cognitive decline (SCD), mild cognitive impairment (MCI), or dementia, and (2) investigate the realness of usability problems captured by the DEMIGNED principles in expert testing, specifically for mobile websites that act as a means of providing DHTs.

Methods: First, a heuristic evaluation was conducted, with the DEMIGNED principles serving as domain-specific guidelines, with 3 double experts (experienced in both usability and dementia) and 2 usability engineering experts. Second, think-aloud sessions were conducted with patients visiting a memory clinic who were living with SCD, MCI, or dementia.

Results: The heuristic evaluation resulted in 36 unique usability problems. A representative sample of 7 people visiting a memory clinic participated in a think-aloud session, including 4 (57%) with SCD, 1 (14%) with MCI, and 2 (29%) with dementia. The analysis of the think-aloud sessions revealed 181 encounters with usability problems. Of these encounters, 144 (79.6%) could be mapped to 18 usability problems identified in the heuristic evaluation. The remaining 37 (20.4%) encounters from the user testing revealed another 10 unique usability problems. Usability problems frequently described in the think-aloud sessions encompassed difficulties with using the search function, discrepancies between the user's expectations and the content organization, the need for scrolling, information overload, and unclear system feedback.

Conclusions: By applying the DEMIGNED principles in expert testing, evaluators were able to capture 79.6% (144/181) of all usability problem encounters in the user testing of a mobile website for people visiting a memory clinic, including people living with dementia. Regarding unique usability problems, 50% (18/36) of the unique usability problems identified during the heuristic evaluation were captured by the user-testing sessions. Future research should look into the applicability of the DEMIGNED principles to other digital health functionalities to increase the accessibility of digital health and decrease digital health inequity for this complex and rapidly increasing population.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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