Abstract
According to the World Health Organization, depression affects about 121 million people worldwide. The Centers for Disease Control report in the USA an estimated 10% of the population will be affected by depression in a given year. We developed the patient data management system (PDMS) to determine if a web-based system can be effectively utilised for the early detection of depressive symptoms. There were 394 participants in the study, 65.5% (N = 258) were female and 34.5% (N = 136) were male. In summary, 89.9% of the population (N = 354) was not depicting any depression symptoms according to CES-D score. The frequency of positive depression screening (indicated by a CED-S score of > 16) was observed in 10.16% (N = 40) of the total population. There was a significant effect of gender on higher CES-D score at p < .05 level for the subjects in the study [F (1,392) = 11.34, p = .001].
| Original language | English (US) |
|---|---|
| Pages (from-to) | 65-73 |
| Number of pages | 9 |
| Journal | International Journal of Medical Engineering and Informatics |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2014 |
All Science Journal Classification (ASJC) codes
- Medicine (miscellaneous)
- Biomaterials
- Biomedical Engineering
- Health Informatics
Keywords
- Depression screening
- Detection of symptoms of depression
- Internet screening
- Web-based system