Sousa Vanessa E C, Dunn Lopez Karen
Vanessa E. C. Sousa, PhD, MSN, University of Illinois at Chicago, College of Nursing, Department of Health Systems Science, 845 South Damen St., Chicago, IL 60612, Email:
Appl Clin Inform. 2017 May 10;8(2):470-490. doi: 10.4338/ACI-2016-10-R-0170.
The use of e-health can lead to several positive outcomes. However, the potential for e-health to improve healthcare is partially dependent on its ease of use. In order to determine the usability for any technology, rigorously developed and appropriate measures must be chosen.
To identify psychometrically tested questionnaires that measure usability of e-health tools, and to appraise their generalizability, attributes coverage, and quality.
We conducted a systematic review of studies that measured usability of e-health tools using four databases (Scopus, PubMed, CINAHL, and HAPI). Non-primary research, studies that did not report measures, studies with children or people with cognitive limitations, and studies about assistive devices or medical equipment were systematically excluded. Two authors independently extracted information including: questionnaire name, number of questions, scoring method, item generation, and psychometrics using a data extraction tool with pre-established categories and a quality appraisal scoring table.
Using a broad search strategy, 5,558 potentially relevant papers were identified. After removing duplicates and applying exclusion criteria, 35 articles remained that used 15 unique questionnaires. From the 15 questionnaires, only 5 were general enough to be used across studies. Usability attributes covered by the questionnaires were: learnability (15), efficiency (12), and satisfaction (11). Memorability (1) was the least covered attribute. Quality appraisal showed that face/content (14) and construct (7) validity were the most frequent types of validity assessed. All questionnaires reported reliability measurement. Some questionnaires scored low in the quality appraisal for the following reasons: limited validity testing (7), small sample size (3), no reporting of user centeredness (9) or feasibility estimates of time, effort, and expense (7).
Existing questionnaires provide a foundation for research on e-health usability. However, future research is needed to broaden the coverage of the usability attributes and psychometric properties of the available questionnaires.
电子健康的使用可带来若干积极成果。然而，电子健康改善医疗保健的潜力部分取决于其易用性。为了确定任何技术的可用性，必须选择经过严格开发且合适的测量方法。
识别经过心理测量学测试的、用于测量电子健康工具可用性的问卷，并评估其普遍性、属性覆盖范围和质量。
我们使用四个数据库（Scopus、PubMed、CINAHL和HAPI）对测量电子健康工具可用性的研究进行了系统综述。非原始研究、未报告测量方法的研究、针对儿童或有认知障碍人群的研究以及关于辅助设备或医疗设备的研究被系统排除。两位作者使用具有预先设定类别的数据提取工具和质量评估评分表，独立提取了以下信息：问卷名称、问题数量、评分方法、项目生成以及心理测量学信息。
采用广泛的搜索策略，共识别出5558篇潜在相关论文。在去除重复项并应用排除标准后，剩下35篇使用了15种不同问卷的文章。在这15种问卷中，只有5种具有足够的通用性，可在各项研究中使用。问卷涵盖的可用性属性包括：可学习性（15）、效率（12）和满意度（11）。记忆性（1）是覆盖最少的属性。质量评估表明，表面/内容效度（14）和结构效度（7）是评估最频繁的效度类型。所有问卷均报告了信度测量。部分问卷在质量评估中得分较低，原因如下：效度测试有限（7）、样本量小（3）、未报告以用户为中心的情况（9）或时间、精力和费用的可行性估计（7）。
现有问卷为电子健康可用性研究提供了基础。然而，未来需要开展研究以扩大可用问卷的可用性属性和心理测量特性的覆盖范围。
