Table 2.
Characteristic | Brainstorm phase | Sorting phase | Rating phase | ||||
Participants (n) | 43a | 27 | 32b | ||||
Age (years), mean (SD) | 39.9 (12.1) | 39.0 (12.6) | 40.5 (13) | ||||
Female gender, n (%) | 21 (49) | 16 (53) | 16 (50) | ||||
Research experience (years), mean (SD) | 13.5 (10.8) | 12.6 (10.5) | 13.9 (11) | ||||
Working in university medical center, n (%) | 37 (73) | 26 (72) | 27 (71) | ||||
Use of eHealthc in daily practice, n (%) |
|
|
|
||||
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During clinic work, not EHRd | 4 (7) | 3 (9) | 3 (8) | |||
|
During research | 32 (59) | 21 (60) | 23 (59) | |||
|
During clinic work and research | 10 (19) | 7 (20) | 8 (21) | |||
|
No | 1 (2) | 0 (0) | 1 (3) | |||
|
Other | 7 (13) | 4 (11) | 4 (10) | |||
Knowledge about eHealth, n (%) |
|
|
|
||||
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Grade 1-2 | 0 (0) | 0 (0) | 0 (0) | |||
|
Grade 3-4 | 1 (2) | 1 (4) | 1 (3) | |||
|
Grade 5-6 | 2 (5) | 1 (4) | 1 (3) | |||
|
Grade 7-8 | 29 (71) | 17 (63) | 21 (68) | |||
|
Grade 9-10 | 9 (22) | 8 (30) | 8 (26) | |||
Expertise about eHealth research methods, n (%) |
|
|
|
||||
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Grade 1-2 | 0 (0) | 0 (0) | 0 (0) | |||
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Grade 3-4 | 1 (2) | 1 (4) | 1 (3) | |||
|
Grade 5-6 | 15 (37) | 8 (30) | 11 (36) | |||
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Grade 7-8 | 19 (46) | 15 (56) | 15 (48) | |||
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Grade 9-10 | 6 (15) | 3 (11) | 4 (13) | |||
Background, n (%) |
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|
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Biology | 2 (3) | 1 (2) | 1 (2) | |||
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Data science | 2 (3) | 1 (2) | 1 (2) | |||
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Economics | 1 (1) | 1 (2) | 1 (2) | |||
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Medicine | 24 (35) | 14 (30) | 18 (34) | |||
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(Health) Science | 9 (13) | 6 (13) | 7 (13) | |||
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Industrial design | 1 (1) | 1 (2) | 1 (2) | |||
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Informatics | 4 (6) | 3 (7) | 3 (6) | |||
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Communication and culture | 4 (6) | 3 (7) | 3 (6) | |||
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Psychology | 14 (21) | 11 (24) | 12 (23) | |||
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Other | 7 (10) | 5 (11) | 6 (11) |
a43 participants participated in the sorting phase, but 41 participants answered the characteristics questions.
bOne of the 32 participants did not finish the third rating question: “importance for proving effectiveness.”
ceHealth: electronic health.
dEHR: electronic health record.