Wang Dongwen, Brian Jenny, Chiou Erin, Martin Matthew, Chen Ding-Geng
Arizona State University, Phoenix, AZ, USA.
Stud Health Technol Inform. 2025 Aug 7;329:1738-1739. doi: 10.3233/SHTI251190.
We launched a study to develop an online contraception decision aid to address the unique needs of TGNC AFAB individuals. Guided by user-centered design principles, we developed a prototype tool and conducted a preliminary evaluation that showed good system performance (94% accuracy and positive assessment of usefulness/usability). This research fills a critical knowledge gap, advocates health equity for gender-minority groups, and develops guiding principles for engaging them in participatory design of digital health tools.
我们开展了一项研究,旨在开发一种在线避孕决策辅助工具,以满足变性或性别多样化的出生时被指定为女性(TGNC AFAB)个体的独特需求。在以用户为中心的设计原则指导下,我们开发了一个原型工具,并进行了初步评估,结果显示该系统性能良好(准确率达94%,对实用性/易用性的评价为积极)。这项研究填补了关键的知识空白,倡导为性别少数群体提供健康公平,并制定了让他们参与数字健康工具参与式设计的指导原则。