School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Engineering Research Center of Mobile Health Management System, Ministry of Education, Hangzhou Normal University, Hangzhou 311121, China.
Int J Environ Res Public Health. 2022 Mar 18;19(6):3599. doi: 10.3390/ijerph19063599.
Depression has a high incidence in the world. Based on the concept of preventive treatment of disease of traditional Chinese medicine, timely screening and early warning of depression in populations at high risk for this condition can avoid, to a certain extent, the dysfunctions caused by depression. This work studied a method to collect information on depression, generate a database of depression features, design algorithms for screening populations at high risk for depression and creating an early warning model, develop an early warning short-message service (SMS) platform, and implement a scheme of depression screening and an early warning health management system. The implementation scheme included mobile application (app), cloud form, screening and early warning model, cloud platform, and computer software. Multiple modules jointly realized the screening, early warning, and management of the health functions of individuals at high risk for depression. At the same time, function modules such as mobile app and cloud form for collecting depression health information, early warning SMS platform, and health management software were designed, and the functions of the modules were preliminarily developed. Finally, the black-box test and white-box test were used to assess the system's functions and ensure the reliability of the system. Through the integration of mobile app and computer software, this study preliminarily realized the screening and early warning health management of a population at high risk for depression.
抑郁症在世界范围内发病率很高。基于中医疾病预防治疗的理念，对有患抑郁症风险的人群进行及时的筛查和早期预警，可以在一定程度上避免抑郁症带来的功能失调。本工作研究了一种收集抑郁症信息的方法，生成了一个抑郁症特征数据库，设计了针对抑郁症高危人群的筛查算法和早期预警模型，开发了早期预警短信服务（SMS）平台，并实施了抑郁症筛查和预警健康管理系统方案。实施方案包括移动应用程序（app）、云表单、筛查和预警模型、云平台和计算机软件。多个模块共同实现了对有患抑郁症风险的个体的筛查、预警和健康管理功能。同时，设计了用于收集抑郁症健康信息的移动应用程序和云表单等功能模块、早期预警短信平台和健康管理软件，并初步开发了模块的功能。最后，采用黑盒测试和白盒测试评估了系统的功能，确保了系统的可靠性。通过移动应用程序和计算机软件的集成，本研究初步实现了对有患抑郁症风险人群的筛查和早期预警健康管理。
