Coe Austin M, Ueng William, Vargas Jennifer M, David Raven, Vanegas Alejandro, Infante Katherine, Trivedi Meghna, Yi Haeseung, Dimond Jill, Crew Katherine D, Kukafka Rita
Columbia University, New York, NY.
Sassafras Tech Collective, Ann Arbor, MI.
AMIA Annu Symp Proc. 2017 Feb 10;2016:411-420. eCollection 2016.
Chemoprevention with antiestrogens could decrease the incidence of invasive breast cancer but uptake has been low among high-risk women in the United States. We have designed a web-based patient-facing decision aid, called RealRisks, to inform high-risk women about the risks and benefits of chemoprevention and facilitate shared decision-making with their primary care provider. We conducted two rounds of usability testing to determine how subjects engaged with and understood the information in RealRisks. A total of 7 English-speaking and 4 Spanish-speaking subjects completed testing. Using surveys, think-aloud protocols, and subject recordings, we identified several themes relating to the usability of RealRisks, specifically in the content, ease of use, and navigability of the application. By conducting studies in two languages with a diverse multi-ethnic population, we were able to implement interface changes to make RealRisks accessible to users with varying health literacy and acculturation.
使用抗雌激素进行化学预防可降低浸润性乳腺癌的发病率,但在美国高危女性中的接受度一直较低。我们设计了一个面向患者的基于网络的决策辅助工具,名为RealRisks,旨在向高危女性告知化学预防的风险和益处,并促进她们与初级保健提供者共同做出决策。我们进行了两轮可用性测试,以确定受试者如何使用和理解RealRisks中的信息。共有7名说英语的受试者和4名说西班牙语的受试者完成了测试。通过调查、出声思考协议和受试者记录,我们确定了几个与RealRisks可用性相关的主题,特别是在应用程序的内容、易用性和可导航性方面。通过对不同多民族人群使用两种语言进行研究,我们能够进行界面更改,以使不同健康素养和文化适应程度的用户都能使用RealRisks。