|
Characteristic
|
N
|
%
|
|---|
|
Organisation
|
African INDEPTH HDSS*
|
54
|
66
|
| |
Asian INDEPTH HDSS/University**
|
28
|
44
|
|
Function
|
Manager/Administrator
|
11
|
13
|
| |
Researcher
|
56
|
69
|
| |
Research assistant
|
4
|
5
|
| |
Lab worker
|
0
|
0
|
| |
Other
|
5
|
6
|
| |
Did not respond
|
8
|
9
|
|
Working years
|
Less than 2 years
|
0
|
0
|
| |
2-5 years
|
21
|
26
|
| |
5 years or longer
|
53
|
65
|
| |
Did not respond
|
8
|
9
|
|
Educational background
|
Medicine
|
19
|
23
|
| |
Nursing
|
1
|
1
|
| |
Social sciences
|
11
|
13
|
| |
Economics
|
2
|
2
|
| |
Agricultural sciences
|
1
|
1
|
| |
Demography
|
12
|
15
|
| |
Computer sciences or mathematics
|
12
|
15
|
| |
Other
|
16
|
20
|
| |
did not respond
|
8
|
9
|
|
Educational level
|
MD
|
5
|
6
|
| |
DSc/PhD
|
22
|
27
|
| |
Masters level
|
39
|
48
|
| |
Bachelors degree
|
7
|
9
|
| |
College or vocational degree
|
1
|
1
|
| |
did not respond
|
8
|
9
|
|
Is employer interested in SDH?
|
Yes
|
61
|
74
|
| |
No
|
0
|
0
|
| |
Not sure
|
12
|
15
|
| |
Not applicable
|
1
|
1
|
| |
did not respond
|
8
|
9
|
|
Age
|
18-30 years
|
13
|
16
|
| |
31-50 years
|
52
|
63
|
| |
51 years or older
|
9
|
11
|
| |
did not respond
|
8
|
9
|
|
Gender
|
Male
|
51
|
62
|
| |
Female
|
31
|
38
|
-
*Agincourt, Digkale, Africa Centre, Ifakara, Rufiji, Magu, Nairobi, Kilifi, Kisumu, Mbita, Navrongo, Dodowa, Kintampo.
-
**Vadu, Ballabargh, Matlab, Purworejo, Filabavi, Chililab, Gadjah Mada University, Indonesia.
