Table 5 Factors associated with level of acceptability and feasibility: by region, occupation and gender for four selected policy options
Policy options | Region | Occupation (physicians vs non-physicians) | Gender |
|---|---|---|---|
Acceptability | |||
Continuing education and professional development | More acceptable in Americas and western pacific (76% and 80%) and less in Europe (49%), P = 0.04 | No difference (P = 0.45) | No difference (P = 0.18) |
Improving living condition, infrastructure and service in rural areas | No difference (P = 0.34) | No difference (P = 0.19) | No difference (P = 0.40) |
Providing safe and supportive environment in rural and remote posts | No difference (P = 0.08) | No difference (P = 0.30) | More acceptable for women and men (72% vs 56%), P = 0.006 |
Support career development programmes | No difference (P = 0.74) | No difference (P = 0.25) | No difference (P = 0.12) |
Feasibility | |||
Continuing education and professional development | More feasible in Americas and Africa (58% and 57%) and less in Southeast Asia (30%), P = 0.029 | No difference (P = 0.45) | No difference (P = 0.11) |
Improving living condition, infrastructure and service in rural areas | More feasible in Europe and Americas (55% and 45%) and less in Southeast Asia (31%), P = 0.031 | More feasible for physicians than non-physicians (48% vs 30%), P = 0.005 | No difference (P = 0.62) |
Providing safe and supportive environment in rural and remote posts | More feasible in Europe and Americas (48% and 48%) and less in Southeast Asia (29%), P = 0.037 | More feasible for physicians than non-physicians (45% vs 29%), P = 0.013 | No difference (P = 1.00) |
Support career development programmes | No difference (P = 0.09) | More feasible for physicians than non-physicians (50% vs 36%), P = 0.031 | No difference (P = 0.83) |