Estimation of depression risky of family health tree system - Using the family functioning scale

Healthy population is the base of a society to function well. As we know, family plays a significant role in the development and maintenance of depression. According to the hygienic statistical data of WHO, depression is the leading cause of disability as measured by YLDs and the 4th leading contributor to the global burden of disease (DALYs) in 2000. By the year 2020, depression is projected to reach 2nd place of the ranking of DALYs calculated for all ages, both sexes. Accordingly, depression increasing the medical and nursing cost compared to other diseases. Because of limited the diversification of depression and risky concept. This study develops an online family health tree system which implements orientation systematic analytic method together with Beavers systems model. Through inputting the medical history of family members by interaction website design, it can real-time calculate the risk information of getting depression and transmit this information to family doctor to search assistance and carefulness plan for patients. It also helps family sentiments and improves medical information management. In addition, we use samples from teachers and students of Chung Shan Medical University. Our study shows this system can screen out kinds of high risky depression patients and have good management of health risk. Finally, the relevant content is also described.