Table 2.
Participants’ professional and academic characteristics.
| Participant characteristics | Participants (n=40), n (%) | |
| Management levelsa | ||
|
|
None | 15 (38) |
|
|
Midlevel | 9 (22) |
|
|
High level | 16 (40) |
| Data interaction levelsb | ||
|
|
Data only | 15 (38) |
|
|
Data+ | 25 (62) |
| Academic backgrounds | ||
|
|
Bachelor’s degree | 11 (28) |
|
|
Health-related master’s degree | 5 (12) |
|
|
Non–health-related master’s degree | 6 (15) |
|
|
Health-related PhDc | 5 (12) |
|
|
Non–health-related PhD | 9 (22) |
|
|
Medical degree | 4 (10) |
| Type of organization | ||
|
|
Computer software and IT—health care | 29 (72) |
|
|
Computer software and IT—general | 3 (8) |
|
|
Health insurer | 3 (8) |
|
|
Hospital | 5 (12) |
| Number of employees at organization | ||
|
|
1-50 | 19 (48) |
|
|
51-1000 | 5 (12) |
|
|
>1000 | 16 (40) |
aNone refers to participants without managerial duties; mid-level refers to participants with some managerial duties; and high-level refers to participants with extensive managerial duties.
bData only refers to participants who handle and work directly with the data in their daily work; Data+ refers to participants who not only work with data but also perform other functions within their organization.
cPhD: Doctor of Philosophy.