Georgsson Mattias, Staggers Nancy, Weir Charlene
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).
Comput Inform Nurs. 2016 Feb;34(2):77-84. doi: 10.1097/CIN.0000000000000209.
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.
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。