Your firm’s characteristics:
Number of
employees |
Number
affected by
depression |
Industry
category |
Region |
| 1,000 |
66 |
General |
National |
Estimated number of firm's employees affected by depression by age:
| Gender |
18-29 |
30-39 |
40-49 |
50-59 |
60+ |
Total |
| Female |
10 |
13 |
8 |
6 |
1 |
38 |
| Male |
7 |
8 |
8 |
4 |
1 |
28 |
| Total |
17 |
21 |
16 |
10 |
2 |
66 |
Estimated impact on workforce:
| |
Minimum |
Maximum |
| Average workdays missed per year per affected employee |
22 |
32 |
| Estimated additional direct medical costs per affected employee |
$1,000 |
$2,000 |
| Total work days missed per year for all affected employees |
1,449 |
2,107 |
Estimated replacement costs for depression-related absenteeism
(based on average daily wage) |
$237,101 |
$344,875 |
| Estimated incremental medical costs for employees affected by depression |
$65,845 |
$131,690 |
| Percent of employees diagnosed and treated |
Percent reduction in absenteeism |
Average cost of therapy per year, per employee |
| 50% |
51% |
$2,000 |
Potential benefit from treatment of diagnosed employees:
| |
Minimum |
Maximum |
| Reduced absenteeism (days) |
501 |
729 |
| Net benefit from treatment of diagnosed employees |
$6,167 |
$43,457 |
