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一种用于糖尿病自我管理支持的移动健康系统的改进型面向用户的启发式评估

A Modified User-Oriented Heuristic Evaluation of a Mobile Health System for Diabetes Self-management Support.

作者信息

Georgsson Mattias, Staggers Nancy, Weir Charlene

机构信息

Author Affiliations: Department of Biomedical Informatics, University ofUtah, Salt Lake City (Mr Georgsson and Drs Staggers and Weir); Faculty of Computing, Blekinge Institute of Technology, Karlskrona, Sweden (Mr Georgsson); School of Nursing, University of Maryland, Baltimore (Dr Staggers); VA Salt Lake City Health Care, Utah (Dr Weir).

出版信息

Comput Inform Nurs. 2016 Feb;34(2):77-84. doi: 10.1097/CIN.0000000000000209.

Abstract

Mobile health platforms offer significant opportunities for improving diabetic self-care, but only if adequate usability exists. Expert evaluations such as heuristic evaluation can provide distinct usability information about systems. The purpose of this study was to complete a usability evaluation of a mobile health system for diabetes patients using a modified heuristic evaluation technique of (1) dual-domain experts (healthcare professionals, usability experts), (2) validated scenarios and user tasks related to patients' self-care, and (3) in-depth severity factor ratings. Experts identified 129 usability problems with 274 heuristic violations for the system. The categories Consistency and Standards dominated at 24.1% (n = 66), followed by Match Between System and Real World at 22.3% (n = 61). Average severity ratings across system views were 2.8 (of 4), with 9.3% (n = 12) rated as catastrophic and 53.5% (n = 69) as major. The large volume of violations with severe ratings indicated clear priorities for redesign. The modified heuristic approach allowed evaluators to identify unique and important issues, including ones related to self-management and patient safety. This article provides a template for one type of expert evaluation adding to the informaticists' toolbox when needing to conduct a fast, resource-efficient and user-oriented heuristic evaluation.

摘要

移动健康平台为改善糖尿病自我护理提供了重大机遇,但前提是要有足够的可用性。诸如启发式评估等专家评估能够提供有关系统的独特可用性信息。本研究的目的是使用一种经过改进的启发式评估技术,对一款面向糖尿病患者的移动健康系统进行可用性评估,该技术包括:(1)双领域专家(医疗保健专业人员、可用性专家);(2)与患者自我护理相关的经过验证的场景和用户任务;(3)深入的严重程度因素评级。专家们识别出该系统存在129个可用性问题,涉及274次启发式违规。“一致性和标准”类别占主导,为24.1%(n = 66),其次是“系统与现实世界的匹配度”,为22.3%(n = 61)。跨系统视图的平均严重程度评级为2.8(满分4分),其中9.3%(n = 12)被评为灾难性,53.5%(n = 69)被评为主要问题。大量严重评级的违规情况表明了重新设计的明确优先事项。这种经过改进的启发式方法使评估人员能够识别独特且重要的问题,包括与自我管理和患者安全相关的问题。本文提供了一种专家评估类型的模板,在需要进行快速、资源高效且以用户为导向的启发式评估时,可添加到信息学家的工具包中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ed8/4743707/7444701d5f96/cin-34-77-g005.jpg

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