Table 1.
Sociodemographic characteristics of the sample
| Characteristics | Matched sample (n = 3026) n (%) or mean (s.d.) |
|---|---|
| Gendera | |
| Women | 2162 (72.33) |
| Men | 796 (26.63) |
| Other gender | 28 (0.94) |
| Prefer not to answer | 3 (0.10) |
| Age, years | |
| 42.43 (13.84) | |
| Regionb | |
| AFRO | 521 (17.28) |
| EMRO | 71 (2.35) |
| EURO | 2220 (73.63) |
| AMRO | 63 (2.09) |
| SEARO | 35 (1.16) |
| WPRO | 105 (3.48) |
| Incomeb | |
| High | 2234 (74.10) |
| Low-middle | 781 (25.90) |
| Background/experience | |
| Academia | 150 (4.96) |
| Administration/management | 56 (1.85) |
| Family member or care partner | 58 (1.92) |
| Health practitioner | 1393 (46.03) |
| Human rights advocate | 25 (0.83) |
| Lawyer | 14 (0.46) |
| Mental health or related practitioner | 763 (25.21) |
| Person with lived experience/person with psychosocial, intellectual or cognitive disability | 118 (3.90) |
| Person with other disabilities | 46 (1.52) |
| Policy maker/analyst | 7 (0.23) |
| Other | 396 (13.09) |
| Affiliation | |
| Academia | 60 (1.98) |
| Organisations of persons with disabilities | 83 (2.74) |
| Donor/funder | 1 (0.03) |
| General health service | 1047 (34.60) |
| Mental health service | 649 (21. 45) |
| Ministry of health | 132 (4.36) |
| Multilateral organisation or development agency | 4 (0.13) |
| Non-governmental organisations | 124 (4.10) |
| Other government ministry/department/commission | 66 (2.18) |
| Professional organisations/associations | 232 (7.67) |
| Students (secondary school) | 3 (0.10) |
| Students (university) | 142 (4.69) |
| United Nations organisations and agencies | 9 (0.30) |
| World Health Organization | 19 (0.63) |
| Other | 455 (15.04) |
AFRO, African Region; AMRO, Region of the Americas; EMRO, Eastern Mediterranean Region; EURO, European Region; SEARO, South-East Asia Region; WPRO, Western Pacific Region.
a. Missing data (n = 37) for gender.
b. Some participants (n = 11) reported that they reside in a country not registered in the World Health Organization’s list of countries, and thus they were not classifiable by region or income.