The World Health Organization predicts that by 2020, depression will be the second-most common cause of debility. Also, ubiquitous computing advances are offering people and applications the necessary information for the most diversified necessities. In this sense, researchers are using ubiquitous health in applications focused on mental health and well-being. This article proposes Hígia, a model to assist in the treatment of people suffering from depression. Hígia detects the need to contact the caregivers of a depressed person, based on the users’ historical context, allowing a faster response action. Hígia constantly evaluates patients’ characteristics on social networks, emails, and interactions with smartphones, computers, or other devices. Hígia also proposes the monitoring of users’ displacements. A prototype was developed and applied in an evaluation involving users and psychologists. The results showed 85.7% of acceptance regarding perceived ease of use by users and that 100% agree, partially or totally, about the system utility. These results were encouraging and show the potential for implementing Hígia in real-life situations.

世界卫生组织预测，到2020年，抑郁症将成为导致残疾的第二大常见原因。同样，无处不在的计算技术进步也为人们和应用程序提供了最多样化需求的必要信息。从这个意义上讲，研究人员正在将无处不在的健康用于专注于心理健康和福祉的应用中。本文提出了一种名为Hígia的模型，该模型可帮助治疗抑郁症患者。Hígia根据用户的历史背景检测到需要与抑郁症患者的照顾者联系，从而可以更快地做出响应。Hígia不断评估患者在社交网络，电子邮件以及与智能手机，计算机或其他设备的交互中的特征。Hígia还建议监视用户的流离失所。开发了原型并将其应用于涉及用户和心理学家的评估中。结果表明，对于用户感觉的易用性，接受度为85.7％，并且100％部分或完全同意系统实用程序。这些结果令人鼓舞，并显示出在现实生活中实施圣基亚的潜力。