对于有和没有精神健康障碍的个人，有效的电子健康设计的关键变量:卡塔尔世界杯8强波胆分析2^12-4分数析因实验%A Rotondi,Armando J %A Grady,Jonathan %A Hanusa,Barbara H %A Haas,Gretchen L %A Spring,Michael R %A Abebe,Kaleab Z %A Luther,James %A Gurklis,John %+精神疾病研究，教育与临床中心(MIRECC)， VA匹兹堡医疗保健系统，退伍军人事务部，研究办公室大楼，(151R-U)，匹兹堡大学大道C, 15240，美国，1412 360 2369，armandorotondi1@gmail.com精神分裂症严重精神疾病电子健康电子健康设计网站可用性网站设计网站可用性分数因子设计背景:电子健康应用程序不仅提供了增加服务便利性和响应性的潜力，而且还扩展了定制服务的能力，以提高相关性、参与度和使用率。为了实现这些目标，设计必须是直观的。对于那些患有严重精神疾病(SMI)的人来说，设计有效的研究有限，他们中的许多人很难去治疗，拒绝或很少寻求治疗，并且倾向于在很长一段时间内停止治疗。目的:本研究旨在评估12个设计变量(如导航深度、阅读水平和导航列表的使用)对重度精神障碍患者和非重度精神障碍患者电子健康应用网站可用性的影响。方法:采用212-4分数因子试验对256个电子健康网站进行设计。这种方法系统地改变了12个设计变量。所有网站的最终目标内容都是相同的，只有导航页面的设计不同。12个设计元素被系统地操纵，以允许对设计元素的组合进行评估，而不是一次只评估一个元素。 Of the 256 websites, participants (n=222) sought the same information on 8 randomly selected websites. Mixed effect regressions, which accounted for the dependency of the 8 observations within participants, were used to test for main effects and interactions on the ability and time to find information. Classification and regression tree analyses were used to identify effects among the 12 variables on participants’ abilities to locate information, for the sample overall and each of the 3 diagnostic groups of participants (schizophrenia spectrum disorder [SSD], other mental illnesses, and no mental illness). Results: The best and worst designs were identified for each of these 4 groups. The depth of a website’s navigation, that is, the number of screens users needed to navigate to find the desired content, had the greatest influence on usability (ability to find information) and efficiency (time to find information). The worst performing designs for those with SSD had a 9% success rate, and the best had a 51% success rate: the navigational designs made a 42% difference in usability. For the group with other mental illnesses, the design made a 50% difference, and for those with no mental illness, a 55% difference was observed. The designs with the highest usability had several key design similarities, as did those with the poorest usability. Conclusions: It is possible to identify evidence-based strategies for designing eHealth applications that result in significantly better performance. These improvements in design benefit all users. For those with SSD or other SMIs, there are designs that are highly effective. Both the best and worst designs have key similarities but vary in some characteristics. %M 33759796 %R 10.2196/23137 %U //www.mybigtv.com/2021/3/e23137 %U https://doi.org/10.2196/23137 %U http://www.ncbi.nlm.nih.gov/pubmed/33759796